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12 events found

Scientific topics: Bioinformatics  or Transcriptomics 

and

City: Bogota  or Heidelberg  or Leuven  or Fribourg  or Cambridge 

  • Analysis of bulk RNA-seq data

    2 - 4 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Analysis of bulk RNA-seq data https://tess.elixir-europe.org/events/analysis-of-bulk-rna-seq-data 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=3070967&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2019-09-02 08:30:00 UTC 2019-09-04 16:30:00 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 [] []
  • An Introduction to Solving Biological Problems with Python

    5 - 6 September 2019

    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-0c5d3c61-8cd7-4dbe-be6f-6f07e431225c 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3070466&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2019-09-05 08:30:00 UTC 2019-09-06 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 [] []
  • Statistics for Biologists in R

    19 - 20 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Statistics for Biologists in R https://tess.elixir-europe.org/events/statistics-for-biologists-in-r-f130f1e1-8d44-46e0-b02c-ed742ad66773 This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences using the R software package. In this course we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to multiple linear regression. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques. This event 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=2815748&course-title=Statistics%20for%20Biologists%20in%20R).'' 2019-09-19 08:30:00 UTC 2019-09-20 16:00:00 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 [] []
  • Summer School in Biomedical Data Science: best practices for single cell analysis and machine learning applications

    23 - 26 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Summer School in Biomedical Data Science: best practices for single cell analysis and machine learning applications https://tess.elixir-europe.org/events/summer-school-in-biomedical-data-science-best-practices-for-single-cell-analysis-and-machine-learning-applications This summer school aims to familiarise biomedical students and researchers with principles of Data Science. Participants will be introduced to the fundamental concepts and technologies underpinning Data Science and equipped with basic knowledge, and cutting-edge transferable skills, to handle sequencing data. Focusing on utilising machine learning algorithms to handle single cell RNA sequencing (scRNA-seq) data, it will cover: effects of experimental design, data readiness, pipeline implementations for scRNA-Seq, introduction to machine learning, and related statistics, as well as the implementation of simple Gaussian process models. Providing practical experience on scRNA-Seq data analysis and Gaussian process, we will illustrate best practices for data usage that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Big Data](https://www.bigdata.cam.ac.uk/). 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=3050610&amp;course-title=Summer%20School%20in%20Biomedical%20Data%20Science).'' 2019-09-23 12:00:00 UTC 2019-09-26 14:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.Students and researchers from engineering or computer science backgroundwho are already working with life-science problemsThe course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee.<span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350 </span style><span style="color:#0000FF">All Members of the University of Cambridge to pay £175 </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] []
  • An Introduction to Machine Learning

    2 - 4 October 2019

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-c4f53d48-57b9-468c-bf48-8107350d6d40 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3043850&amp;course-title=An%20Introduction%20to%20Machine%20Learning).'' 2019-10-02 08:30:00 UTC 2019-10-04 16:00:00 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 [] []
  • The Brain Mosaic: Cellular heterogeneity in the CNS (2nd edition)

    10 - 11 October 2019

    Leuven, Belgium

    The Brain Mosaic: Cellular heterogeneity in the CNS (2nd edition) https://tess.elixir-europe.org/events/the-brain-mosaic-cellular-heterogeneity-in-the-cns-2nd-edition Recent advances in technology now allow us to explore multiple aspects of heterogeneity at the single cell level. Nowhere is this more important than in the Central Nervous System (CNS), where cellular heterogeneity has profound effects on all aspects of normal brain function and behavior and explains important aspects of disease pathology. With the second edition of the Brain Mosaic conference we aim to bring together leaders in this emerging discipline to discuss how it is advancing our knowledge of CNS function and disease. Speakers at this neuroscience meeting on ‘single cell’ will emphasize the multi-disciplinary nature of the field in several sessions: • Single cell sequencing and cell diversity • Spatial transcriptomics • New developments in technology and bioinformatics • CNS sequencing and relevance to disease research • Connections an activity Poster information: Format: A0 (841 x 1189 mm / 33.1 x 46.8 in), portrait orientation Deadlines: • Early Bird: 8 September 2019 • Late Registration: 26 September 2019 • Abstract deadline: 29 August 2019 2019-10-10 08:00:00 UTC 2019-10-11 18:00:00 UTC VIB Conferences KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat, Leuven, Belgium KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat Leuven Vlaams-Brabant Belgium 3000 Bioinformatics Transcriptomics Sequencing [] Evy Vierstraete +32 9 244 66 11 conferences@vib.be [] [] meetings_and_conferences [] Single cell sequencing Sequencingcell diversitySpatial transcriptomicsTranscriptomicstranscriptomicsAlzheimers Clinical Trials And StudiesAlzheimers DiseaseAmnesiaAnimal Models In DementiaAnxiety Autoimmune Disorders & Multiple SclerosisBehavioral IssuesBiopsychiatry Blood-Brain BarrierBrain DiagnosisBrain Disease & FailureBrain InjuryBrain TumourCentral Nervous SystemCerebrovascular DiseaseChild NeurologyClinical NeurophysiologyCNS TumorsCognitive DisordersDementiaDementia CareDemyelinationDiagnosis And TherapyEpilepsyGenetics Genetics And Epigenetics Geriatric NeurologyGut- Brain AxisHeadacheIntervention NeuroradiologyMeningitisMental HealthMental Health NursingMetastatisMovement DisordersMultiple SclerosisMultiple Sclerosis DiagnosisNervous SystemNeural EngineeringNeural EnhancementNeuro-Oncology NeuroanaatomyNeuroanatomyNeurocritical CareNeurodegenerationNeurodegenerative DisorderNeurodegenerative DisordersNeurogeneticsNeuroimagingNeuroimmunologyNeurological DisordersNeurological Disorders And StrokeNeurological InfectionsNeurological SurgeryNeurologistNeurologyNeuromedicinesNeuromuscular MedicineNeuronal AutoantibodiesNeuropathyNeuropeptidesNeuropharmacologyNeuroscienceNeurosurgeryNeurotoxicologyNeurotoxinsNeurotransmissionNeurotransmittersParkinsonParkinsons DiseasePediatric NeurologyPharmacology Psychiatry Psychology PsychoneuroimmunologyRecent Research And Case StudiesRehabilitation TherapyStem Cell Treatment For Neurological DisordersStrokesTraumatic Brain InjuryCNS sequencing disease researchbioinformatics• New developments in technology
  • Introduction to Scientific Figure Design

    11 October 2019

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Scientific Figure Design https://tess.elixir-europe.org/events/introduction-to-scientific-figure-design-3981eee7-417e-4f61-b794-eff8f0e05580 This course provides a practical guide to producing figures for use in reports and publications. It is a wide ranging course which looks at how to design figures to clearly and fairly represent your data, the practical aspects of graph creation, the allowable manipulation of bitmap images and compositing and editing of final figures. The course will use a number of different open source software packages and is illustrated with a number of example figures adapted from common analysis tools. Further information and access to the course materials is [here](http://www.bioinformatics.babraham.ac.uk/training.html#figuredesign). The training room is located on the first floor and there is currently no level access. 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=3088725&amp;course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2019-10-11 08:30:00 UTC 2019-10-11 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation 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 [] []
  • Open Targets: Integrating genetics and genomics for disease biology and translational medicine

    17 October 2019

    Cambridge, United Kingdom

    Elixir node event
    Open Targets: Integrating genetics and genomics for disease biology and translational medicine https://tess.elixir-europe.org/events/open-targets-integrating-genetics-and-genomics-for-disease-biology-and-translational-medicine Open Targets is a public-private partnership to use human genetics, genomic data and drug information for systematic identification and prioritisation of therapeutic targets. This module introduces the Open Targets partnership, its underlying projects and the bioinformatics resources for researchers studying associations of human genes with diseases. We offer interactive and hands-on experience with Open Targets Platform and Open Targets Genetics, open source tools of integrated biological and chemical data for drug target identification and prioritisation. We cover user cases relevant to the biomedical and pharmaceutical communities and can customise the course according to specific therapeutic areas. 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=3093271&amp;course-title=OpenTargets%20workshop).'' 2019-10-17 12:00:00 UTC 2019-10-17 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Pharmacogenomics Genotype and phenotype Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] This course is suitable for anyone who has an interest in biomedical research and therapeutics with a special emphasis on drug discovery and target validation. It is also useful to those who wish to find out how large-scale genomic experimentscellular models of disease and computational techniques are used to identify and validate the causal links between targetspathways and diseases.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • ChIP-seq and ATAC-seq analysis

    23 - 24 October 2019

    Cambridge, United Kingdom

    Elixir node event
    ChIP-seq and ATAC-seq analysis https://tess.elixir-europe.org/events/chip-seq-and-atac-seq-analysis-b2a9ec58-3f94-497f-b6a6-d18041934b1f The primary aim of this course is to familiarise participants with the analysis of ChIP-seq and ATAC-seq data and provide hands-on training on the latest analytical approaches. The course starts with an introduction to ChIP-seq experiments for the detection of genome-wide DNA binding sites of transcription factors and other proteins. We first show data quality control and basic analytical steps such as alignment, peak calling and motif analysis, followed by practical examples on how to work with biological replicates and fundamental quality metrics for ChIP-seq datasets. On the second day, we then focus on the analysis of differential binding, comparing between different samples. We will also give an introduction to ATAC-seq data analysis for the detection of regions of open chromatin. 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=3049814&amp;course-title=ChIP-seq%20and%20ATAC-seq%20analysis).'' 2019-10-23 08:30:00 UTC 2019-10-24 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR ChIP-seq Data mining Data visualisation Functional genomics Epigenomics 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 [] []
  • Data Science in Python

    30 - 31 October 2019

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python https://tess.elixir-europe.org/events/data-science-in-python-936eab84-71b6-473b-b5e4-ab74565a90d0 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3062424&amp;course-title=Data%20Science%20in%20Python).'' 2019-10-30 09:30:00 UTC 2019-10-31 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 [] []
  • Analysis of DNA Methylation using Sequencing

    20 November 2019

    Cambridge, United Kingdom

    Elixir node event
    Analysis of DNA Methylation using Sequencing https://tess.elixir-europe.org/events/analysis-of-dna-methylation-using-sequencing-a7e83220-4a9b-4058-872e-7314cb5c68e2 This course will cover all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications. It will also include exploratory analysis of methylation, looking at different methods of quantitation, and a variety of ways of looking more widely at the distribution of methylation over the genome. Finally the course will look at statistical methods to predict differential methylation. The course will be comprised of a mixture of theoretical lectures and practicals covering a range of different software packages. The training room is located on the first floor and there is currently no level access. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3088732&amp;course-title=Analysis%20of%20DNA%20Methylation%20using%20Sequencing).'' 2019-11-20 09:30:00 UTC 2019-11-20 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Epigenetics Data visualisation 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 [] []
  • Using the Ensembl Genome Browser

    27 November 2019

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-61d56b3e-79d2-49c2-bf4d-5b80e40bb5eb 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=3089173&amp;course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2019-11-27 09:30:00 UTC 2019-11-27 17:30:00 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 [] []
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