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  • Data Science in Python

    11 - 12 February 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python https://tess.elixir-europe.org/events/data-science-in-python-6eb99e4e-46e9-4333-8857-192f9123f631 This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code, using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing modules and classes. Note: this course is the continuation of the [Introduction to Solving Biological Problems with Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-python/); participants are expected to have attended the introductory Python course and/or have acquired some working knowledge of Python. This course is also open to Python beginners who are already fluent in other programming languages as this will help them to quickly get started in Python. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3166602&course-title=Data%20Science%20in%20Python).'' 2020-02-11 09:30:00 UTC 2020-02-12 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Applied Bioinformatics in Life Sciences (3rd edition)

    13 - 14 February 2020

    Leuven, Belgium

    Elixir node event
    Applied Bioinformatics in Life Sciences (3rd edition) https://tess.elixir-europe.org/events/applied-bioinformatics-in-life-sciences-3rd-edition Bioinformatics has quickly become an integral part of life sciences research by enabling innovative computational approaches in an increasingly data-dense environment. Inspired by the sold-out editions in 2016 and 2018, VIB (a non-profit life sciences research institute) is organizing this third edition to highlight recent developments in bioinformatics research, and to showcase its impact in medical, agricultural, and biotechnological research. Nationally and internationally renowned speakers will present recent scientific findings in applied bioinformatics. They will shed light on the future perspectives of their research in the following plenary sessions: - Microbial & plant genomics: from simple to complex - Structural bioinformatics and proteomics - Data integration, machine learning and networks - Single cell bioinformatics Besides an inspiring scientific program, conference participants will have ample networking opportunities during poster sessions and the conference dinner. ### Speaker line-up: - Roser Vento, Sanger Institute, UK - Klaus Mayer, Helmholtz Zentrum München, DE - Thijs Ettema, Wageningen University, NL - Rohit Pappu, Washington University, US - Patrick Aloy, Structural Bioinformatics Lab, IRB Barcelona, ES - Helen Parkinson, EMBL-EBI, UK - Nick Loman, University of Birmingham, UK - Daifeng Wang, Stony Brook University, US - Aedin Culhane, Dana-Farber Cancer Institute & Harvard TH Chan School of Public Health, US - Sushmita Roy, Dept. of Biostatistics and Medical Informatics, Wisconsin Institute for Discovery, University of Wisconsin, US - Olga Vitek, Northeastern University, US - Nikolai Slavov, Northeastern University, US - Evangelia Petsalaki, EMBL-EBI, UK - Ashley Lu, VIB-KU Leuven Center for Brain & Disease Research, BE - Sofia Forslund, Experimental and Clinical Research Centre (ECRC, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité University Hospital), DE - Laurent Gatto, De Duve Institute – UC Louvain, BE - Erik Garrison, UC Santa Cruz, US ### Travel Grants We offer 5 travel grants to international attendees, which will reimburse travel costs up to 400 Euros. Are you interested in attending ABLS20 and want to have a chance on a travel grant? Submit your motivation below by clicking on the 'Apply for a grant' button before 15 November. The organizing committee will notify you of your travel grant acceptance on 22 November 2019. No registration is needed before submitting a travel grant proposal. When you’re awarded with a travel grant you will receive a practical email containing the next steps. Note that being awarded a travel grant does not mean being registered for the conference. Scroll down to apply for your grant. 2020-02-13 08:00:00 UTC 2020-02-14 18:00:00 UTC VIB Provinciehuis Provincie Vlaams-Brabant Provincieplein 1 3010 Leuven Belgium, Leuven, Belgium Provinciehuis Provincie Vlaams-Brabant Provincieplein 1 3010 Leuven Belgium Leuven Belgium 3010 Genomics Bioinformatics Data integration and warehousing Machine learning VIBKU Leuven conferences@vib.be [] [] 250 meetings_and_conferences [] bioinformaticsgenomicsProteomicsData Integrationmachine learning
  • An introduction to long-read sequencing

    13 - 14 February 2020

    Cambridge, United Kingdom

    Elixir node event
    An introduction to long-read sequencing https://tess.elixir-europe.org/events/an-introduction-to-long-read-sequencing Analysis of whole genome data unearths a multitude of variants of different classes, which need to be filtered, annotated and validated to arrive at a causative variant for a disease. The current short length sequences, whilst being excellent at identifying single nucleotide variants and short insertions/deletions, struggle to correctly map structural variants (SVs). Long-read sequencing technologies offer improvements in the characterisation of genetic variation and regions that are difficult to assess with short-read sequences. The aim of this course is to familiarise participants with long read sequencing technologies, their applications and the bioinformatics tools used to assemble this kind of data. Lectures will introduce this technology and provide insight into methods for the analysis of genomic data, while the hands-on sessions will allow participants to run analysis pipelines, focusing on data generated by the Oxford Nanopore Technologies (ONT) platform. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3327123&course-title=An%20Introduction%20to%20long-read%20sequencing).'' 2020-02-13 09:30:00 UTC 2020-02-14 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] This is aimed for life scientists with little or no experience in long-read sequencing that are looking at implementing these approaches in their research.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An Introduction to Machine Learning

    19 - 21 February 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-4a589171-221a-4bc7-b5f7-f0172c7ab980 Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment. Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3241183&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2020-02-19 09:30:00 UTC 2020-02-21 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining Bioinformatics University of Cambridge Bioinformatics Training [] This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Statistics bootcamp using R

    25 - 28 February 2020

    Cambridge, United Kingdom

    Elixir node event
    Statistics bootcamp using R https://tess.elixir-europe.org/events/statistics-bootcamp-using-r This 4-days bootcamp provides an in depth look at statistical analyses using R. Day 1 aims to introduce R as a tool for statistics and graphics, with the main aim being to become comfortable with the R environment. As well as introducing core R language concepts, this course also provides the basics of using the Tidyverse for data maniupulation, and ggplot for plotting. It will focus on entering and manipulating data in R and producing simple graphs. Day 2-4 will focus on the statistical possibilities of R, covering from experimental design to analysis of quantitative and qualitative data. Ample time will be given to participants to practice different type of analysis and interact with the trainers to discuss their statistical problems. This event is organized in collaboration with the [Babraham Institutes's Bioinformatics Group](https://www.bioinformatics.babraham.ac.uk/index.html) and it is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3246150&course-title=Statistics%20bootcamp%20using%20R).'' 2020-02-25 11:30:00 UTC 2020-02-28 15:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using CellProfiler and CellProfiler Analyst to analyse biological images

    10 - 11 March 2020

    Cambridge, United Kingdom

    Elixir node event
    Using CellProfiler and CellProfiler Analyst to analyse biological images https://tess.elixir-europe.org/events/using-cellprofiler-and-cellprofiler-analyst-to-analyse-biological-images-c53c332e-80c1-47bc-9317-2dddbca08941 Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection. This course will introduce users to the free open-source image analysis program [CellProfiler](http://cellprofiler.org/) and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3246450&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2020-03-10 09:30:00 UTC 2020-03-11 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who want to extract quantitative information from microscopy imagesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An Introduction to Solving Biological Problems with Python

    12 - 13 March 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with Python https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-a1765edb-7609-4699-a93e-9149f1f7ff2c This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs and customize more complex code to fit their needs. Course materials are available [here](http://pycam.github.io). Please note that the content of this course has recently been updated. This course now mostly focuses on core concepts including Python syntax, data structures and reading/writing files. Concepts and strategies for working more effectively with Python are now the focus of a new 2-days course, [Data Science in Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-dspyt/). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3166591&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2020-03-12 09:30:00 UTC 2020-03-13 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Analysis of bulk RNA-seq data

    25 - 27 March 2020

    Cambridge, United Kingdom

    Elixir node event
    Analysis of bulk RNA-seq data https://tess.elixir-europe.org/events/analysis-of-bulk-rna-seq-data-66d0a6e6-6641-406b-9df9-53937e6a1c5c The aim of this course is to familiarize the participants with the primary analysis of RNA-seq data. This course starts with a brief introduction to RNA-seq and discusses quality control issues. Next, we will present the alignment step, quantification of expression and differential expression analysis. For downstream analysis we will focus on tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3246123&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2020-03-25 09:30:00 UTC 2020-03-27 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq Data mining Transcriptomics Data visualisation Functional genomics Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Molecular Phylogenetics

    1 - 3 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Molecular Phylogenetics https://tess.elixir-europe.org/events/molecular-phylogenetics-67b36582-1fd4-412e-bf20-fa3584ab1e2f This course will provide training for bench-based biologists to use molecular data to construct and interpret phylogenies, and test their hypotheses. Delegates will gain hands-on practice of using a variety of programs freely-available online and commonly used in molecular studies, interspersed with some lectures. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3350639&course-title=Molecular%20Phylogenetics).'' 2020-04-01 08:00:00 UTC 2020-04-03 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Phylogenetics Data visualisation Data mining Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using the Ensembl Genome Browser

    16 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-467135ab-7028-4d4f-8a24-bbffa5548b3b The [Ensembl Project](http://www.ensembl.org) provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This workshop offers a comprehensive practical introduction to the use of the Ensembl genome browser as well as essential background information. This course will focus on the vertebrate genomes in Ensembl, however much of what will be covered is also applicable to the non-vertebrates (plants, bacteria, fungi, metazoa and protists) in Ensembl Genomes. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3351117&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2020-04-16 08:30:00 UTC 2020-04-16 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Gene transcripts Gene structure Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Ensembl REST API workshop

    17 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Ensembl REST API workshop https://tess.elixir-europe.org/events/ensembl-rest-api-workshop-c3f269e2-c30f-4a2d-b719-a822af0359c5 The [Ensembl project](http://www.ensembl.org/) provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences. This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers how to use the Ensembl [REST APIs](http://rest.ensembl.org/), including understanding the major endpoints and how to write scripts to call them. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3351102&course-title=Ensembl%20REST%20API%20Workshop).'' 2020-04-17 08:30:00 UTC 2020-04-17 14:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Bioinformaticians and wet-lab biologists who can programGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Extracting biological information from gene lists

    22 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Extracting biological information from gene lists https://tess.elixir-europe.org/events/extracting-biological-information-from-gene-lists-06e84be3-c3c2-40da-b84a-1465e1a5571a Many experimental designs end up producing lists of hits, usually based around genes or transcripts. Sometimes these lists are small enough that they can be examined individually, but often it is useful to do a more structured functional analysis to try to automatically determine any interesting biological themes which turn up in the lists. This course looks at the various software packages, databases and statistical methods which may be of use in performing such an analysis. As well as being a practical guide to performing these types of analysis the course will also look at the types of artefacts and bias which can lead to false conclusions about functionality and will look at the appropriate ways to both run the analysis and present the results for publication. Course materials are available [here](https://www.bioinformatics.babraham.ac.uk/training.html#fagl). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3097799&course-title=Extracting%20biological%20information%20from%20gene%20lists).'' 2020-04-22 08:30:00 UTC 2020-04-22 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Introduction to metagenomics

    23 - 24 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Introduction to metagenomics https://tess.elixir-europe.org/events/introduction-to-metagenomics This two days course will focus on the theory and applications of metagenomics, for the analysis of complex microbiomes (microbial communities). The course will include theoretical (~40%) and practical (~60%) training. We will start with the fastest, simplest and cheapest amplicon based methods and will go up to the Hi-C metagenomics methods that give highly detailed results on the complex microbial communities. The practical component will cover bioinformatics analysis of metagenomics. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to Book or register Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3331686&course-title=Introduction%20to%20metagenomics).'' 2020-04-23 08:30:00 UTC 2020-04-24 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data mining Data visualisation Metagenomics Bioinformatics University of Cambridge Bioinformatics Training [] The course is aimed at biologists interested in microbiologyprokaryotic genomicsanalysis of complex microbiomes and antimicrobial resistance.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
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