Register event
24 events found

Event types: Workshops and courses 

and

Online: true 

  • Data Visualization using Tableau | How to visualize data in Tableau | Intellipaat

    26 July - 31 October 2020

    Data Visualization using Tableau | How to visualize data in Tableau | Intellipaat https://tess.elixir-europe.org/events/data-visualization-using-tableau-how-to-visualize-data-in-tableau-intellipaat In this data visualization using tableau video you will learn fundamentals of data visualization, essential design principles in tableau, visual analytics in tableau and hands on - creating dashboard using tableau in detail. Link: https://www.youtube.com/watch?v=8qQRD0Z0CH4 2020-07-26 16:53:00 UTC 2020-10-31 23:00:00 UTC Intellipaat [] [] [] workshops_and_courses [] []
  • What is Genetic Counselling?

    3 August - 25 October 2020

    What is Genetic Counselling? https://tess.elixir-europe.org/events/what-is-genetic-counselling # Overview * **Duration:** 6 weeks live, 2 hours per week * **Free** * **Certificate of achievement** available on satisfactory completion * **Start Date:** The course is run ‘live’ for 6 weeks from the start date above. Once this period is over there will be no live monitoring of the forums, but you can still join and complete the course during the remaining period. ### Why join the course? Who are genetic counsellors? Who has genetic counselling and what does a genetic counsellor do? On this course, you will find the answers to these questions whilst learning about the role of genetic counselling in healthcare and the genomic era. You will discover why people seek genetic counselling and how it compares in different contexts and countries. You will explore the main skills and knowledge needed of a genetic counsellor, as well as their key responsibilities to patients. You will also discuss the ethical issues of genetic counselling, and its varied opportunities and challenges for the future. ### Who is the course for? This course is designed for healthcare professionals, clinicians, biomedical research scientists, and anyone curious about genetic counselling. Although not required, a basic knowledge of genetics, genetic testing technologies, and inheritance patterns would help support your learning on this course. ### What do people say about this course? _"What a great course. Perfect introduction to genetic counseling. This has given me a very real insight into the work that is carried out prior to my role in a genetic testing laboratory. Also overwhelming to think of the hours that go into the counselling sessions, ensuring patients are prepared, informed and able to make their own decisions." - Previous Participant_ _"Thank you very much for such an informative, enjoyable and though-provoking course. I have learnt a lot during these six weeks and I definitely know more now than I did prior to starting! I am glad to say that this has increased my interest in Genetic counselling as a profession and am very likely going to pursue it as a career." - Previous Participant_ _"Thank you Anna and Jonathan for a very interesting course, I have enjoyed the role play as it allowed me to be in the GC and clients shoes, and discussing my thoughts/comments with my fellow learners, and learning about the difference in other countries that was shared. Kept me gripped learning something new." _- _Previous Participant_ _"It has been a great and interesting time in the last six weeks. Understanding the personal feelings/ views of patients (autonomy, empathy, patience, etc), professional ways of communication in GC, ethics of GC, with the professional know how of the Genetic Counsellors; the different contexts of Genetic Services in different countries,and also sharing the view of my co-learners, has been a great experience._ _These will greatly assist in the discharge of my duties to the the patients as I come across them whether at my duty post or elsewhere."_ - Previous Participant # Programme ### What topics will you cover? * Why people would see a genetic counsellor * Some of a genetic counsellor’s key tasks * A genetic counsellor’s key skills and knowledge: counselling skills, medical and scientific knowledge * Ethical issues in genetic counselling * What the future might hold for genetic counsellors ### What will you achieve? By the end of the course, you'll be able to... * Identify why people have genetic counselling and the different contexts in which people receive genetic counselling * Describe the different skills and knowledges needed by genetic counsellors * Compare genetic counselling in different contexts and different countries * Reflect on some ethical issues that arise in genetic counselling * Discuss the role of genetic counselling in healthcare as we enter the ‘genomic era'. ### What software or tools do you need? No specific software, hardware or other resources are required to complete the course. # Educators ## Lead Educators ### Anna Middleton I am the Chair of the Association of Genetic Nurses and Counsellors in the UK and ROI (2018/19) and Head of Society and Ethics Research at the Wellcome Genome Campus, Connecting Science, Cambridge, UK ### Jonathan Roberts I am a pre-registration genetic counsellor at Addenbrooke’s Hospital, Cambridge. I am also a Staff Scientists at the Wellcome Genome Campus. I conduct my research within the Society and Ethics Research group. # What's Included Wellcome Genome Campus Advanced Courses and Scientific Conferences are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get: * Unlimited access to this course * Includes any articles, videos, peer reviews and quizzes * Tests to validate your learning * A PDF Certificate of Achievement to prove your success when you’re eligible 2020-08-03 09:00:00 UTC 2020-10-25 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] geneticcounsellingHDRUK
  • Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance

    31 August 2020 - 3 January 2021

    Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance https://tess.elixir-europe.org/events/bacterial-genomes-disease-outbreaks-and-antimicrobial-resistance-2aa0df3a-e74c-4f5c-acc3-8c2ee0847f71 # Overview * **Duration**: 3 weeks, 3 hours per week * Free * Certificate of achievement available on satisfactory completion * **CPD Approval**: Royal College of Pathologists (9 credits), Royal College of Nursing (9 credits) * **Start Date**: The course is run ‘live’ for 3 weeks from the start date above. Once this period is over there will be no live monitoring of the forums, but you can still join and complete the course during the remaining period. ### Why join the course? The increase in resistance of harmful bacteria to antibiotics is a major global threat to health. Here we explore bacterial genomes and the use of genome sequencing to identify and track these drug resistant bacteria. Join us to discover how genome research is helping scientists and healthcare professionals track disease outbreaks and prevent the rise of antibiotic resistant ‘superbugs’. ### Who is the course for? This course will be of interest to scientists, healthcare professionals, biomedical researchers and bioinformaticians. The course offers all learners an opportunity to learn about genomes, disease, and antimicrobial resistance. You require no previous knowledge of genome science to complete the course. ### What do people say about this course? "_I would definitely point students to this resource. Text, videos, and figures were all very well done._" Pablo Tsukayama, Assistant Professor of Microbiology "_A highlight of the course was the introduction to whole genome sequencing – new information for me._" Christine Laws, Medical Doctor “_Exchanging genetic information quickly throughout the world is clearly going to revolutionise the ability to combat disease._” Prue van der Hoorn, Artist # Programme and start dates ### Course start dates This course is repeated twice a year. ### What topics will you cover? * Diseases caused by bacteria * What bacterial genomes look like * Genome sequencing technology * Mechanisms of transmission and resistance * Genomic epidemiology – tracking the spread of bacterial pathogens * Antimicrobial resistance ### What will you achieve? By the end of the course, you'll be able to... * Explain why some bacteria are pathogenic * Explore the structure of bacterial genomes * Describe the uses of different genome sequencing technologies * Investigate how genome data are used to track the spread of bacterial disease * Discuss the role of genome sequencing in stopping the spread of antimicrobial resistance # Educators ## **Lead Educators** **[Dr Adam Reid][1]** I am a senior staff scientist at the Wellcome Sanger Institute near Cambridge in the United Kingdom. I'm interested in using genomics and bioinformatics to better understand infectious diseases. **[Dr Josie Bryant][2]** I am a Henry Wellcome Postdoctoral Fellow in the University of Cambridge, Department of Medicine. I am working on bacterial genomics and evolution with a focus on within-patient microbial diversity ### Dr Francesca Short I am a scientist at the Wellcome Sanger Institute. I am interested in using functional genomics techniques to understand infections caused by the bacterium _Klebsiella pneumoniae_. ## **Programme Lead Educator** **[Professor Nicholas Thomson][3]** I am a Group Leader at the Wellcome Sanger Institute. I provide scientific oversight for this course. I am interested in bacterial evolution and the spread of infectious disease. ### The course also features interviews with distinguished scientists, including: * **[Mathew Beale][4]** - Wellcome Sanger Institute * **[Daryl Domman][5]** - Wellcome Sanger Institute * **[Gal Horesh][6]** - Wellcome Sanger Institute * **[Catherine Ludden][7]** - London School of Hygiene and Tropical Medicine * **[Tapoka Mkandawire][8]** - Wellcome Sanger Institute * **[Julian Parkhill][9]** - Wellcome Sanger Institute * **Lindsay Pike** - Wellcome Sanger Institute * **[Michael Quail][10]** - Wellcome Sanger Institute * **[Susannah J. Salter][11]** - Wellcome Sanger Institute * **[Estee Torok][12]** - Addenbrooke’s Hospital and University of Cambridge [1]: http://www.sanger.ac.uk/people/directory/reid-adam-james [2]: https://www.infectiousdisease.cam.ac.uk/directory/josie-bryant [3]: http://www.sanger.ac.uk/people/directory/thomson-nicholas-robert [4]: http://www.sanger.ac.uk/people/directory/beale-mathew [5]: http://www.sanger.ac.uk/people/directory/domman-daryl [6]: http://www.sanger.ac.uk/people/directory/horesh-gal [7]: https://www.lshtm.ac.uk/aboutus/people/ludden.catherine [8]: http://www.sanger.ac.uk/people/directory/mkandawire-tapoka-t [9]: http://www.sanger.ac.uk/people/directory/parkhill-julian [10]: http://www.sanger.ac.uk/people/directory/quail-michael-andrew [11]: http://www.sanger.ac.uk/people/directory/salter-susannah-j [12]: https://www.infectiousdisease.cam.ac.uk/directory/et317@medschl.cam.ac.uk # What's Included Wellcome Genome Campus Advanced Courses and Scientific Conferences are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get: * Unlimited access to this course * Includes any articles, videos, peer reviews and quizzes * Tests to validate your learning * A PDF Certificate of Achievement to prove your success when you’re eligible # CDP Approval 2020-08-31 09:00:00 UTC 2021-01-03 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] bacterialgenomesAMRHDRUK
  • Metabolomics: Understanding Metabolism in the 21st Century

    14 September - 4 December 2020

    Elixir node event
    Metabolomics: Understanding Metabolism in the 21st Century https://tess.elixir-europe.org/events/metabolomics-understanding-metabolism-in-the-21st-century-9e853a8f-6a6f-40e7-9854-021aa2c07370 Metabolomics is an emerging field that aims to measure the complement of metabolites (the metabolome) in living organisms. The metabolome represents the downstream effect of an organism’s genome and its interaction with the environment. Metabolomics has a wide application area across the medical and biological sciences. The course provides an introduction to metabolomics, describes the tools and techniques we use to study the metabolome and explains why we want to study it. By the end of the course you will understand how metabolomics can revolutionise our understanding of metabolism. This course is designed as a 4-week course and the Educators will support discussions and learning in weeks 1 to 4 responding to questions and comments. The course will remain open for 12 weeks in total; if you join the course after week 5 we encourage you to read posts / comments on the platform to aid your learning. The Educators will answer comments and questions at a lower frequency in weeks 5 to 12. 2020-09-14 09:00:00 UTC 2020-12-04 23:59:00 UTC Birmingham Metabolomics Training Centre Metabolomics University of Birmingham bmtc@contacts.bham.ac.uk [] ScientistsPhD studentsMaster studentsUndergraduate students workshops_and_courses [] Metabolomics
  • Metabolomics Data Processing and Data Analysis

    12 October - 6 November 2020

    Elixir node event
    Metabolomics Data Processing and Data Analysis https://tess.elixir-europe.org/events/metabolomics-data-processing-and-data-analysis-3855a7d7-cf12-44e8-8d22-d6c252487ce0 This online course explores the tools and approaches that are used to process and analyse metabolomics data. You will investigate the challenges that are typically encountered in the analysis of metabolomics data, and provide solutions to overcome these problems. The materials in this course are delivered via the FutureLearn platform over a four week period, with an estimated learning time of four hours per week. Each week you will work through a number of steps to complete the learning material. A step may include a short video, an article, an exercise with step-by-step instructions, a test or a discussion to interact with your peer or the educators. All of the course material is uploaded to the FutureLearn platform so that you can complete the steps at a convenient time for you. We (the educators) support your learning via social discussions where you will be able post questions and comments to the team of educators and the other learners on the course throughout the 4 weeks. In the final week of the course there is a live question and answer session with the entire team of educators. You will be provided with information to join the question and answer session via the FutureLearn platform and you can post questions in advance. The question and answer session will be recorded and a video uploaded to the FutureLearn platform. If you do not have time to complete the course during the 4-week period you will retain access to the course material to revisit, as you are able. 2020-10-12 09:00:00 UTC 2020-11-06 23:59:00 UTC Birmingham Metabolomics Training Centre Bioinformatics Metabolomics University of Birmingham bmtc@contacts.bham.ac.uk [] ScientistsPhD studentsMaster students workshops_and_coursesmeetings_and_conferences [] MetabolomicsData processingData analysis
  • Bacterial Genomes: From DNA to Protein Function Using Bioinformatics

    12 October 2020 - 7 February 2021

    Bacterial Genomes: From DNA to Protein Function Using Bioinformatics https://tess.elixir-europe.org/events/bacterial-genomes-from-dna-to-protein-function-using-bioinformatics-e18aa62a-65f6-478d-ad25-61b757305166 # Overview * **Duration**: 2 weeks, 5 hours per week * Free * Certificate of Achievement available on satisfactory completion * **CPD Approval**: Royal College of Pathologists (10 credits) * **Start Date**: The course is run ‘live’ for 2 weeks from the start date above. Once this period is over there will be no live monitoring of the forums, but you can still join and complete the course during the remaining period. ### Why join the course? Join us in our quest to discover what makes microbes dangerous. Use bioinformatics to probe genomes, to explore and represent DNA and protein sequences. Then, use databases to find protein sequences’ conserved domains and investigate their functions. ### Who is the course for? The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, biomedical researchers, microbiologists, healthcare professionals and all those who are interested in learning about the underlying mechanisms of bacterial disease, DNA sequences and protein data, or how to use online analytical tools to probe genomes. The topics covered in this course are applicable to the genomes of all organisms. It is not essential to have previous knowledge or experience in bioinformatics. Scientific terminology is explained. The opportunity to use online computational tools in the context of bacterial genomes will also be of interest to teachers and their 16-18-year-old science and computing students. ### What do people say about this course? "_Clear introduction of the – often viewed as complex – field of bioinformatics_." Mqondisi Tshabalala, PhD student, Institute for Cellular and Molecular Medicine, University of Pretoria, South Africa "_Highlights of the course were the investigations with the databases - these reinforced the learning._" Dr. Alan McLintic, Anaesthesiologist, Faculty of Medicine and Health Scientists, University of Auckland, New Zealand # Programme and start dates ### Course start dates This course will be repeated twice a year. ### What topics will you cover? * Bioinformatics tools, DNA and protein sequences * Retrieving DNA and protein sequences from repositories * Databases for protein annotation * Inferring function from sequence ### What will you achieve? By the end of the course, you'll be able to... * assess DNA representations and protein sequences * perform searches in primary databases (repositories) and retrieve gene/protein data * interpret different repository submission formats * investigate biological databases for research * identify the putative function of proteins based on their conserved domains # Educators ## **Lead Educators** ### Dr Anna Protasio I am a researcher in parasitology and life sciences. I am passionate about bioinformatics and how we can use these tools to answer questions in biology. ### Martin Aslett I am the IT Manager for the Wellcome Genome Campus Advanced Courses and Scientific Conferences team. My interests lie in bioinformatics and its application to microbial genomics. ### Dr Christine Boinett I am a researcher in bacterial genetics and my interest is in understanding the development of resistance in bacterial pathogens using next generation sequencing techniques. ## **Educator** ### Matthew Dorman I am a graduate student at the Wellcome Sanger Institute, where I research the virulence and the molecular genetics of bacterial pathogens as part of the Infection Genomics programme. ## **Programme Lead Educator** ### Professor Nicholas Thomson Group Leader at the Wellcome Sanger Institute, interested in bacterial evolution and the spread of infectious disease; provides scientific oversight for this course. The course also features interviews with two distinguished experts: ### Dr Rob Finn Team Leader of EMBL-EBI Sequence Families Team ### Dr Claire Chewapreecha Sir Henry Wellcome Fellow and Lecturer, University of Cambridge, UK, and King Mongkut University of Technology, Thailand. # What's Included Wellcome Genome Campus Advanced Courses and Scientific Conferences are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get: * Unlimited access to this course * Includes any articles, videos, peer reviews and quizzes * Tests to validate your learning * A PDF Certificate of Achievement to prove your success when you’re eligible # CPD Approval 2020-10-12 09:00:00 UTC 2021-02-07 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] bacterialgenomesinformaticsHDRUK
  • Computing Skills for Reproducible Research: Software Carpentry Course 2020

    19 - 23 October 2020

    Computing Skills for Reproducible Research: Software Carpentry Course 2020 https://tess.elixir-europe.org/events/computing-skills-for-reproducible-research-software-carpentry-course-2020 Educators: Renato Alves (HD-HuB) Date: 19-10-2020 - 23-10-2020 09:00-18:00 Location: Online Contents: Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing. Topics covered include: Introduction to Python scripting Introduction to the Unix shell and usage of cluster resources Version control with Git and Github Analysis pipeline management Scientific Python & working with biological data Literate programming with Jupyter notebooks Learning goals: This course aims to teach software writing skills and best practices to researchers in biology who wish to analyse data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their science better and more reproducible. Prerequisites: This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will be familiar with some command line/programmatic computer usage, will want to become more confident using these tools efficiently and reproducibly. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable using git). Keywords: Programming; Command Line; Version Control; Bioinformatics; Data Analysis; Cluster Computing Tools: Python; Bash; Unix/Linux; Git; GitHub; SnakeMake; Biopython; Pandas; Numpy; SciPy; Matplotlib 2020-10-19 09:00:00 UTC 2020-10-23 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Ontologies - statistics, biases, tools, networks, and interpretation

    26 - 29 October 2020

    Ontologies - statistics, biases, tools, networks, and interpretation https://tess.elixir-europe.org/events/ontologies-statistics-biases-tools-networks-and-interpretation Educators: Bálint Mészáros, Matt Rogon, Renato Alves (HD-HuB) Date: 26 - 29 October 9:00 - 12:30 Location: Online Meeting (connection details after registration) Content: Ontologies are the primary means to store biological data about genes, proteins, and other biological entities in an accessible and unambiguous way. These ontologies are hierarchical collections of descriptive terms, typically represented as networks (graphs), serving as a fundamental structure to store biological knowledge. The use of ontology-based enrichment and network representations to infer biological properties of gene and protein sets identified in experiments, is now ubiquitous. Consequently, a solid understanding and fluency in ontology-based approaches is an essential skill in a wide range of biological fields. Learning goals: During this 4-day online course participants will learn how to access and utilize biological ontologies (mainly Gene Ontology) to arrive at sound biological inferences using standard and customized enrichment analyses and network visualization. During the course you will learn how to: - access gene and pathway ontologies to build high-quality maps for data interpretation and visualisation; - customize query data as well as databases themselves to deal with a wide range of biases and produce reliable results using online tools, Cytoscape, and R packages; - explore Gene Ontology, KEGG and Reactome databases; - understand, utilize and create sub-ontologies to address specific biological questions by executing enrichment analyses; - Use R-based packages to automate, accelerate and create reproducible analyses; - be able to interpret and assess the quality of GeneOntology analyses in publications by understanding the strengths and limitations of enrichment calculations. After the course you will be able to independently extract data from public resources, assess their quality, annotate your own networks and biomolecules in Cytoscape, extract data using R, and critically interpret the results. Prerequisites: This course is an introduction to ontologies, however we require: - working knowledge of Cytoscape (e.g. introductory level course by Matt Rogon from EMBL CBNA https://git.embl.de/rogon/introduction-to-cytoscape-and-network-biology) - basic knowledge of R (data structures, file operations etc.) - e.g. introductory level course by EMBL CSDA (https://git.embl.de/klaus/tidyverse_R_intro) or EMBL Bio-IT (https://bio-it.embl.de/events/introduction-to-r/) Keywords: Ontologies ,statistics, biases, tools, networks, interpretation, R, Cytoscape 2020-10-26 09:00:00 UTC 2020-10-29 12:30:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • CIBI Data Clinic October 2020

    26 October 2020

    CIBI Data Clinic October 2020 https://tess.elixir-europe.org/events/cibi-data-clinic-october-2020 Educators: Steffen Neumann, Rene Meier (CIBI) Date: 2020/10/26 @ 10:00 - 11:00 CET Location: Online Meeting (connection details after registration) Workshop goals: We want to invite you to the next edition of our online Data and Code Clinic. The Data and Code Clinic is a web-based video help desk for proteomics and metabolomics researchers and associated bioinformaticians and data analysts. We want to help people with their first steps in the exciting and multifaceted field, to facilitate the (sometimes) steep learning curve, and help using advanced data analysis options. In this CIBI Data Clinic, we will focus in particular on: - Metabolomics - MetaboLights Data Sharing - Metabolite Identification Mode of action: Our Data and Code Clinic is not a classical webinar, you can rather think of the coffee break during a conference, where oftentimes valuable suggestions are exchanged. We usually won’t have slides and don’t prepare a lecture. You are interested and have a question? We will try to answer them or tell you who might be the expert to ask. If you ask a question in the registration for or mail your questions to denbi-mash@ipb-halle.de a few days before the data clinic we can prepare and improve our response. Looking forward to seeing you, Yours, The de.NBI Data Clinic Team Prerequisites: None. Keywords: metabolomics, mass spectrometry, R, MetaboLights, Metabolite identification 2020-10-26 10:00:00 UTC 2020-10-26 11:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • 5th Differential analysis of quantitative proteomics data using R

    2 November 2020

    5th Differential analysis of quantitative proteomics data using R https://tess.elixir-europe.org/events/5th-differential-analysis-of-quantitative-proteomics-data-using-r Educators: Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot) Date: Monday, 2nd Nov 2020 Location: Online Contents: This course will impart knowledge about how to conduct a differential analysis of high-throughput quantitative proteomics data using R. As we start with a basic introduction to the popular statistical programming language, no prior knowledge on R is required. The statistical background on utilized methods is explained in order to enable the participants to assess their own as well as published workflows critically. In this regard the course will touch upon • statistical inference: hypotheses, type I and II error • location tests (t-test) • multiple testing Learning goals: • Independent usage of basic R functions including - data import and export - basic plots - statistical tests • Deeper understanding of statistical methods applied in differential analyses Prerequisites: • Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences; • No prior knowledge on R required • Computer with stable internet connection, headset and camera Keywords: R; high-throughput data; omics; proteomics; differential analysis Tools: download and more information on R here: https://cran.r-project.org/ We recommend using an editor such as RStudio, see www.rstudio.com 2020-11-02 09:00:00 UTC 2020-11-02 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • WEBINAR: Back to basics: handling research data

    5 November 2020

    WEBINAR: Back to basics: handling research data https://tess.elixir-europe.org/events/https-www-biocommons-org-au-events-basics-data-movement How does the internet work and does it impact on your research? Dealing with data is an everyday part of modern biology. From small files to enormous data sets we are constantly moving and sharing data across the globe. How we move this data can have a big impact on our time and productivity. Go back to basics in this interactive webinar to explore the factors that influence data movement and discover tools that can be used to move data efficiently. We'll cover topics such as jargon busting, types of networks, data movement solutions and introduce CloudStor as a tool for data storage, transfer and analysis. This interactive webinar includes a hands-on component. There will be opportunities for discussion and questions. 2020-11-05 13:00:00 UTC 2020-11-05 15:00:00 UTC Australian BioCommons Australia, Australia Australia Australia Biology Data management Bioinformatics [] [] Biologists 30 workshops_and_courses first_come_first_served bioinformaticslife sciencesdata managementData skills
  • 2nd Advanced analysis of quantitative proteomics data using R

    9 November 2020

    2nd Advanced analysis of quantitative proteomics data using R https://tess.elixir-europe.org/events/2nd-advanced-analysis-of-quantitative-proteomics-data-using-r Educators: Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot) Date: Monday, 9th Nov 2020 Location: Online Contents: In this course you will learn about using R for the analysis of proteomics data. We will focus on data preprocessing methods and advanced methods for data analysis. In this regard the cpurse will touch upon: • data normalization • quality control, handling of missing values • clustering, heatmaps • ROC-curves Please be aware that basic knowledge of R and methods for differential analysis of proteomics data are taught in our course “Differential analysis of quantitative proteomics data” the previous day (Monday, 2nd Nov 2020, http://goo.gl/forms/mpKHnbT1Um) Learning goals: • Independent usage of R functions for - Data preprocessing - Plots and graphs - Statistical methods for data analysis - Use of additional R packages • Deeper understanding of statistical methods applied in differential analyses Prerequisites: • Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences; • Basic knowledge of R (e.g. data import, basic plots, t-test, for loop) and basic knowledge of differential analysis of proteomics data. Both can for example be gained from our course “Differential analysis of quantitative proteomics data” the previous day (Monday, 2nd Nov 2020, http://goo.gl/forms/mpKHnbT1Um). • Computer with stable internet connection, headset and camera Keywords: R; high-throughput data; omics; proteomics; data analysis, graphics, data preprocessing Tools: download and more information on R here: https://cran.r-project.org/ We recommend using an editor such as RStudio, see www.rstudio.com 2020-11-09 09:00:00 UTC 2020-11-09 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • WORKSHOP: Online data analysis for biologists - November 2020

    12 November 2020

    WORKSHOP: Online data analysis for biologists - November 2020 https://tess.elixir-europe.org/events/workshop-online-data-analysis-for-biologists-november-2020 Galaxy is an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience. It is an open source, web-based platform for accessible, reproducible, and transparent computational biomedical research. It also captures run information so that workflows can be saved, repeated and shared efficiently via the web. This interactive beginners workshop will provide an introduction to the Galaxy interface, histories and available tools. The material covered in this workshop is freely available through the Galaxy Training Network. 2020-11-12 14:00:00 UTC 2020-11-12 17:00:00 UTC Australian BioCommons Australia, Australia Australia Australia Bioinformatics [] [] Biologists workshops_and_courses [] GalaxyData analysislifescience
  • de.NBI Crop Analysis Tool Suite (Part I) training course – Explore the barley genome

    16 November 2020

    de.NBI Crop Analysis Tool Suite (Part I) training course – Explore the barley genome https://tess.elixir-europe.org/events/de-nbi-crop-analysis-tool-suite-part-i-training-course-explore-the-barley-genome Educators: Uwe Scholz (GCBN), Sebastian Beier (GCBN) Date: 16th November 2020, 10:00 a.m. – 11:30 a.m. Location: Online Contents: Complex plant genomes impose high demands on analytical software and the knowledge of biologists to interpret these results. The service centre GCBN offers CATS (Crop Analysis Tool Suite), which provides various tools for sequence analysis. In this first of three courses the main focus is on the operation of the BLAST Server and the integration with BARLEX (Barley Genome Explorer). There will be two short presentations on the two topics and two online live demonstrations with examples. Together the whole training course will last about 90 minutes. Learning goals: The primary objective of this training course is to introduce tools for sequence analysis for crops (in particular barley). The theoretical basics as well as some examples will be shown by using online demonstrations, which will enable the participants to design and perform their own analyses. Prerequisites: The training course is designed for early career scientists such as PhD students and postdocs, but also for experienced scientists who want to learn more about the analysis and handling of sequence data for complex plant genomes like barley. Keywords: Sequence analysis, genomics, transcriptomics, annotation, Morex v2 assembly Tools: IPK WebBlast - https://webblast.ipk-gatersleben.de/barley_ibsc/ BARLEX - http://barlex.barleysequence.org/ 2020-11-16 10:00:00 UTC 2020-11-16 11:30:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • de.NBI – e!DAL-PGP training course – Sharing and Publishing Comprehensive Plant Research Data

    19 November 2020

    de.NBI – e!DAL-PGP training course – Sharing and Publishing Comprehensive Plant Research Data https://tess.elixir-europe.org/events/de-nbi-e-dal-pgp-training-course-sharing-and-publishing-comprehensive-plant-research-data Educator: Daniel Arend (GCBN) Date: 19th November 2020, 10:00 a.m. – 11:30 a.m. Location: Online Contents: In the context of a growing global demand for food and feed the need for improved crop yield and the identification of more efficient and better adapted crops to answer the world's growing population is an important driving force for high-throughput plant genotyping and phenotyping studies which comprise comprehensive and data-intense experiments. As formulated in current funding policies, research data should be published under consideration of the FAIR (findable, accessible, interoperable, and reusable) data principles. Contrarily, they remain frequently unpublished due to organizational reasons or missing infrastructures. Therefore, the reproducibility and the preservation of research data depend on the scientists or the journal to which they want to publish their results. The eDAL-PGP repository provide a powerful infrastructure to easily share and publish comprehensive and cross-domain plant research data. Learning goals: The major goal of this trainings course is to get a general understanding how to publish plant research data that do not fit into the scope of existing databases in a FAIR way by using the eDAL-PGP repository. Prerequisites: The training course is designed for early career scientists such as PhD students and postdocs, but also for experienced scientists who want to learn more about the analysis and handling of sequence data for complex plant genomes like barley. Keywords: FAIR research data, Digital Object Identifier, Research Data Publication, Genomics, Phenomics Tools: e!DAL-PGP - http://edal-pgp.ipk-gatersleben.de/ 2020-11-19 10:00:00 UTC 2020-11-19 11:30:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • de.NBI Crop Analysis Tool Suite (Part II) training course – Working with repetitive sequences

    20 November 2020

    de.NBI Crop Analysis Tool Suite (Part II) training course – Working with repetitive sequences https://tess.elixir-europe.org/events/de-nbi-crop-analysis-tool-suite-part-ii-training-course-working-with-repetitive-sequences Educator: Sebastian Beier (GCBN) Date: 20th November 2020, 10:00 a.m. – 11:30 a.m. Location: Online Contents: Complex plant genomes impose high demands on analytical software and the knowledge of biologists to interpret these results. The service centre GCBN offers CATS (Crop Analysis Tool Suite), which provides various tools for sequence analysis. In this second of three courses the main focus is on the operation of repeat analysis and masking with the tools Kmasker plants (mathematically defined repeats) and MISA-Web (microsatellites). There will be two short presentations on the two topics and two online live demonstrations with examples. Together the whole training course will last about 90 minutes. Learning goals: The primary objective of this training course is to introduce tools for sequence analysis for crops. The theoretical basics as well as some examples will be shown by using online demonstrations, which will enable the participants to design and perform their own analyses. Prerequisites: The training course is designed for early career scientists such as PhD students and postdocs, but also for experienced scientists who want to learn more about the repeat analysis and masking of sequence data for complex plant genomes. Keywords: Microsatellite, Mathematically Defined Repeat, K-mer, SSR Tools: Kmasker Plants - https://kmasker.ipk-gatersleben.de/ MISA-Web - https://webblast.ipk-gatersleben.de/misa/ 2020-11-20 10:00:00 UTC 2020-11-20 11:30:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • Introduction to the Cloud for Proteomics Analyses

    23 November 2020

    Introduction to the Cloud for Proteomics Analyses https://tess.elixir-europe.org/events/introduction-to-the-cloud-for-proteomics-analyses Educators: Dominik Kopczynski, Markus Stepath, Michael Turewicz and Julian Uszkoreit (BioInfra.Prot) Date: Monday, 2020-11-23 Location: online Contents: In this one day course we will show some of BioInfra.Prot's tools provided by de.NBI, namely “PIA - Protein Inference Algorithms”, “BIONDA – A Free Biomarker Database” and “CalibraCurve”. Besides the tool based sessions we offer a "Proteomics in the Cloud" session where we show advantages of cloud based bioinformatics and give a tutorial how to access the de.NBI cloud. PIA allows to inspect and combine the results of proteomics search engines. The main focus lays on the integrated inference algorithms for identification and quantification purposes. BIONDA is a free, up-to-date and user-friendly biomarker and biomarker candidate database that facilitates any kind of research on protein biomarkers and the corresponding diseases. CalibraCurve is a tool intended for the generation of calibration curves in the context of MRM (targeted proteomics) experiments. Such calibration curves are necessary for the selection of suitable transitions. In addition the web service STAMPS will be part of this course. It is a pathway-centric service for the development of targeted proteomics assays. In combination with Skyline, it offers a streamlined pipeline for identification and quantification in targeted proteomics analyses and development of targeted proteomics assays. Learning goals: Attendees of the course will learn how to use the tools PIA, BIONDA, CalibraCurve and STAMPS effectively for their daily proteomics tasks. Additionally they will learn how to use the de.NBI cloud. Prerequisites: This course is for all researches in the field of proteomics. The attendees should have basic knowledge of LC-MS proteomics, but no prior bioinformatics skills are required. Basic knowledge of how to analyse LC-MS data are sufficient. Attendees are required to bring their own laptops. If this is not possible or laptops have very low computing capacities, please contact the organizers. Keywords: Proteomics; Data Analysis; Assay Development; Biomarkers; de.NBI Cloud 2020-11-23 09:00:00 UTC 2020-11-23 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • de.NBI Crop Analysis Tool Suite (Part III) training course – Explore barley diversity

    24 November 2020

    de.NBI Crop Analysis Tool Suite (Part III) training course – Explore barley diversity https://tess.elixir-europe.org/events/de-nbi-crop-analysis-tool-suite-part-iii-training-course-explore-barley-diversity Educator: Patrick König (GCBN) Date: 24th November 2020, 10:00 a.m. – 11:30 a.m. Location: Online Contents: The service centre GCBN offers CATS (Crop Analysis Tool Suite), which includes a web application for exploratory data analysis of the genomic diversity data derived from studies based on the concept of gene bank genomics. The concept of gene bank genomics is about to gain insight into the diversity of genetic resources stored in gene banks and to allow the utilisation of this mainly untapped diversity for breeding and further research and exploitation. BRIDGE is an interactive web tool for exploratory data analysis of a gene bank genomics study of more than 20,000 barley accessions. The tool helps researchers and breeders to keep the overview about the massive amount of data and to derive a benefit from diversity data through context-based data visualisation and data export. Learning goals: The goal of this training course is to provide an introduction into the BRIDGE web application, its available data domains and its use for data visualisation, exploratory data analysis and data export for different use cases of specific research interests. Prerequisites: The training course is aimed at young scientists such as PhD students and postdocs, but also at experienced scientists who want to learn more about exploratory data analysis, visualization and exploitation of plant diversity data for use in breeding and research. Keywords: Barley, Gene bank genomics, Exploratory data analysis, Visual analytics, Data visualisation, Data warehouse, Tools: BRIDGE (https://doi.org/10.3389/fpls.2020.00701 2020-11-24 10:00:00 UTC 2020-11-24 11:30:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • Quality Assurance and Quality Control in Metabolomics

    30 November - 18 December 2020

    Elixir node event
    Quality Assurance and Quality Control in Metabolomics https://tess.elixir-europe.org/events/quality-assurance-and-quality-control-in-metabolomics-fc8eb4e0-eaca-4a9a-8c76-1f3bf559d9a1 The application of quality assurance and quality control in the metabolomics field is vital to ensure the collection of high quality data. In this course you will explore the importance of quality assurance and quality control in both untargeted and targeted metabolomics studies. We will explain the difference between quality control and quality assurance and how to apply in your studies and laboratories. You will evaluate the types of quality control samples that can be applied in metabolomics, what is the most appropriate quality control sample to use in your research, and how to apply the data in your quality assurance procedure to produce robust and reproducible data. The materials in this course are delivered via the FutureLearn platform over a three week period, with an estimated learning time of four hours per week. Each week you will work through a number of steps to complete the learning material. A step may include a short video, an article, an exercise with step-by-step instructions, a discussion to interact with your peer and a selection of quizzes, tests and polls to self-assess your own learning. All of the course material is uploaded to the FutureLearn platform so that you can complete the steps at a convenient time for you. We (the educators) support your learning via social discussions where you will be able post questions and comments to the team of educators and the other learners on the course throughout the three weeks. In the final week of the course we will record a summary video where we will respond to questions posted by you during the course. If you do not have time to complete the course during the 3-week period you will retain access to the course material to revisit, as you are able. 2020-11-30 09:00:00 UTC 2020-12-18 23:59:00 UTC Birmingham Metabolomics Training Centre Metabolomics University of Birmingham [] ScientistsPhD studentsMasters students meetings_and_conferencesworkshops_and_courses [] MetabolomicsQuality AssuranceQuality Control
  • de.NBI - CeBiTec Nanopore Workshop 2020 - Best Practice and SARS-CoV-2 applications

    30 November - 4 December 2020

    de.NBI - CeBiTec Nanopore Workshop 2020 - Best Practice and SARS-CoV-2 applications https://tess.elixir-europe.org/events/de-nbi-cebitec-nanopore-workshop-2020-best-practice-and-sars-cov-2-applications Educators: Stefan Albaum, Jan-Simon Baasner, Sebastian Jünemann, Nils Kleinbölting, Alexander Sczyrba, Alex Walender (BiGi), Daniel Wibberg (CAU), David Brandt, Christian Rückert, Jörn Kalinowski (CeBiTec) Date: 30 November – 4 December 2020 Location: Online Content: Aim of this workshop is to familiarize the participants with the Nanopore sequencing technology, its applications, the "Best Practice" bioinformatics workflows and the analysis of SARS-CoV-2 genomes. The Nanopore technology has greatly facilitated the assembly of prokaryotic, viral and eukaryotic genomes. Therefore, the workshop is focused on the establishment of finalized genome sequences, ranging from basecalling, quality assessment over assembly to sequence polishing and finally assembly evaluation. A focus in this years workshop is on the analysis of Nanopore sequenced SARS-CoV-2 genomes and a suitable workflow for resequencing based on the ARTIC bioinformatics protocol. The course will start with a one day webinar on best practices for the lab work on sequencing SARS-CoV2 and a “guided tour” showing the necessary bioinformatics steps. This part of the workshop is open to a large number of applicants. The following 4 days will be a mixture of talks and practical sessions in the de.NBI cloud introducing, in more detail, the Nanopore sequencing technology and bioinformatics processing tools, as, for instance, base calling, assembly and polishing.This part of the workshop is, however, limited to a smaller number of applicants. Learning goals: This workshop aims to teach basic skills and best practices to researchers working with Nanopore data, e.g. SARS-CoV-2. The full course will include all necessary steps from raw sequencing data to finalized genomes (1) with a de novo assembly and (2) with re-sequencing and mapping to a reference. Prerequisites: This workshop is intended for PhD students and postdocs with molecular biology background in genomics or SARS-CoV2 background. Good understanding of command line tools is a plus, but not required. Tools: minimap2, canu, pilon, guppy, porechop, medaka, poretools, nextstrain, quast, ARTIC pipeline Keywords: Nanopore sequencing, genome assembly, genomics, SARS-CoV2, 2020-11-30 09:00:00 UTC 2020-12-04 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • Bacterial Genomes: Comparative Genomics using Artemis Comparison Tool (ACT)

    30 November 2020 - 31 January 2021

    Bacterial Genomes: Comparative Genomics using Artemis Comparison Tool (ACT) https://tess.elixir-europe.org/events/bacterial-genomes-comparative-genomics-using-artemis-comparison-tool-act-3e9f10a2-bd0a-4af3-bc39-0d11856143e2 # Overview * **Duration**: 3 weeks, 5 hours per week * Free * Certificate of achievement available on satisfactory completion * **Start Date**: The course is run ‘live’ for 3 weeks from the start date above. Once this period is over there will be no live monitoring of the forums, but you can still join and complete the course during the remaining period. ### Why join the course? Disease outbreaks are still a big problem in our modern world. Comparison between two or more bacterial genomes can help improve understanding of the causes of pathogenicity and outbreaks of disease caused by bacteria. On this course you will learn how to use the free Artemis Comparison Tool (ACT). Developed at the Wellcome Sanger Institute, ACT will help you to visualise the comparison of genomes and analyse the results. ### Who is the course for? This course would benefit those interested in learning how to use tools to investigate and research bacterial genomes, and acquire bioinformatics skills to evaluate the role of microbial genes in disease. Learners will gain experience in comparative genomics, using the Artemis Comparison Tool to probe, visualise and compare genomes, and analyse the results. This course will be of interest to anyone interested in microbiology, including undergraduates, post-graduates, biomedical researchers, microbiologists, bioinformaticians, teachers, and healthcare professionals. The opportunity to gain experience in using the Artemis Comparison Tool, a computational tool designed for comparative genomics, will also be of interest to all those who have studied our pre-requisite courses: those with an interest in genomics and disease outbreaks, teachers and their 16-18-year-old science and computing students. Ideally, you will have completed [Bacterial Genomes: From DNA to Protein Function Using Bioinformatics][1] and [Bacterial Genomes: Accessing and Analysing Microbial Genome Data][2] before joining this course. [1]: /our-events/bacterial-genomes-dna-protein-function-bioinformatics-online-sep19/ [2]: /our-events/bacterial-genomes-accessing-analysing-microbial-genome-data-feb19/ # Programme ### What topics will you cover? Week 1 * Introduction to comparative genomics * Introduction to ACT Week 2 * Analyse available data * Generate your own comparison files * Make your own comparisons in ACT Week 3 * Identify pseudogenes in Mycobacterium leprae using ACT * Peer review project: Comparative genomics on two clinically relevant plasmids from Shigella ### What will you achieve? By the end of the course, you'll be able to... * Explain the advantages of comparative genomics * Explore basic tools of ACT * Interpret results from already generated comparison files * Produce new comparisons and analyse results * Develop hypothesis based on results observation ### What software or tools do you need? This course will give you an opportunity to learn about and use Artemis Comparison Tool (ACT), a free tool used to display pairwise comparisons between two DNA sequences. To run this software effectively, you will require a computer (Windows, Mac or Linux) with 2GB RAM. The current version of ACT requires version 11 of Java to run successfully. Java 11 can be downloaded from [this link][1]. Older versions of ACT require Java 8 to run successfully. Java 8 can be downloaded from [this link][2]. [1]: https://www.oracle.com/technetwork/java/javase/downloads/jdk11-downloads-5066655.html [2]: https://www.java.com/en/download/ # Educators ## Lead Educators ### Dr Anna Protasio I am a researcher in parasitology and life sciences. I am passionate about bioinformatics and how we can use these tools to answer questions in biology. ### Dr Christine Boinett I am a researcher in bacterial genetics and my interest is in understanding the development of resistance in bacterial pathogens using next generation sequencing techniques. ### Dr. Ulrike Böhme I am a researcher in parasitology at the Wellcome Sanger Institute where I work as biocurator for Plasmodium genomes. ### Dr. Pablo Tsukayama I am a professor of microbiology at Universidad Peruana Cayetano Heredia and a visiting research scholar at the Wellcome Sanger Institute. I study how pathogen populations evolve and spread in Peru. ### Martin Aslett I am the IT Manager for the Wellcome Genome Campus Advanced Courses and Scientific Conferences team. My interests lie in bioinformatics and its application to microbial genomics. ### Matthew Dorman I am a graduate student at the Wellcome Sanger Institute, where I research the virulence and the molecular genetics of bacterial pathogens as part of the Infection Genomics programme. ## Programme Lead Educator ### Professor Nicholas Thomson I am a Group Leader at the Wellcome Sanger Institute. I provide scientific oversight for this course. I am interested in bacterial evolution and the spread of infectious disease. # What's Included Wellcome Genome Campus Advanced Courses and Scientific Conferences are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get: * Unlimited access to this course * Includes any articles, videos, peer reviews and quizzes * Tests to validate your learning * A PDF Certificate of Achievement to prove your success when you’re eligible 2020-11-30 09:00:00 UTC 2021-01-31 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] comparativegenomicsHDRUK
  • Data visualization using R

    7 December 2020

    Data visualization using R https://tess.elixir-europe.org/events/data-visualization-using-r Educators: Markus Stepath, Karin Schork, Nils Hoffmann (BioInfra.Prot / LIFS) Date: Monday, 7th Dec 2020 Location: Online training Contents: In this course you will learn how to use the ggplot2 package in R to create informative and beautiful figures to communicate your omics data and analysis results. We will cover the following topics: - Usage of the tidyverse for data preprocessing - Usage of the ggplot2 R package - Presentation of different types of graphics and when to use them - Customization of graphics Please be aware that basic knowledge of R is taught in our course “Differential analysis of quantitative proteomics data” on Monday, 2nd Nov 2020 (http://goo.gl/forms/mpKHnbT1Um). Learning goals: - Using the ggplot2 R package to create graphics for omics data - Decide which type of graph is appropriate for the given data - Ability to costumize the graphics using ggplot2 Prerequisites: - Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences; - Basic knowledge of R (e.g. data import, basic plots. This can for example be gained from our course “Differential analysis of quantitative proteomics data” (Monday, 2nd Nov 2020, http://goo.gl/forms/mpKHnbT1Um). - Computer with stable internet connection, headset and camera Keywords: R; tidyverse; ggplot2; high-throughput data; omics; proteomics; data analysis, graphics, data preprocessing Tools: Download and more information on R here: https://cran.r-project.org/ We recommend using an editor such as RStudio, see www.rstudio.com 2020-12-07 09:00:00 UTC 2020-12-07 17:00:00 UTC de.NBI [] [] [] workshops_and_courses [] []
  • Online Course - A Practical Introduction to NGS Data Analysis

    9 - 11 December 2020

    Online Course - A Practical Introduction to NGS Data Analysis https://tess.elixir-europe.org/events/online-course-a-practical-introduction-to-ngs-data-analysis-2523f702-4ade-4c7e-a782-cec42fbeec49 Advance your research. Understand NGS and analyze sequenced data yourself. In a nutshell - Learn the essential computing skills for NGS bioinformatics - Understand NGS technology, algorithms and data formats - Use bioinformatics tools for handling sequencing data - Perform first downstream analyses for studying genetic variation The purpose of this workshop is to get a deeper understanding in Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be discovered. The participants will be trained on understanding their own NGS data, finding potential problems/errors therein and finally perform their first downstream analysis (variant calling). In the course we will use a real-life NGS dataset from the current market leader illumina. All workshop attendees will be enabled to perform important first tasks of NGS data analysis themselves. The course layout has been adapted to the needs of beginners in the field of NGS bioinformatics and allows scientists with no or little background in computer science to get a first hands-on experience in this fast evolving research topic. The online course will make use of a web conferencing system. Hands-on NGS analysis will be performed in an interactive browser-based platform. Before the course, you will get a printed manuscript and a USB key by mail. 2020-12-09 09:00:00 UTC 2020-12-11 17:00:00 UTC ecSeq Bioinformatics GmbH Sequencing Sequence analysis Bioinformatics [] ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: events@ecSeq.com [] BiologistsMolecular BiologistsPathologistsBiologists, Genomicists, Computer Scientistspost-docsPhD studentsbioinformaticians 15 workshops_and_courses first_come_first_served NGS bioinformaticsNGSVariant callingDNA-seq
  • WORKSHOP: Online data analysis for biologists - December 2020

    9 December 2020

    WORKSHOP: Online data analysis for biologists - December 2020 https://tess.elixir-europe.org/events/workshop-online-data-analysis-for-biologists-december-2020 Galaxy is an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience. It is an open source, web-based platform for accessible, reproducible, and transparent computational biomedical research. It also captures run information so that workflows can be saved, repeated and shared efficiently via the web. This interactive beginners workshop will provide an introduction to the Galaxy interface, histories and available tools. The material covered in this workshop is freely available through the Galaxy Training Network. 2020-12-09 14:00:00 UTC 2020-12-09 17:00:00 UTC Australian BioCommons Australia, Australia Australia Australia Bioinformatics [] [] Biologists workshops_and_courses [] bioinformaticslife sciences

Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.