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4 events found

Scientific topics: Functional genomics 

  • Introduction to RNA-seq data analysis

    27 - 29 March 2019

    Cambridge, United Kingdom

    Elixir node event
    Introduction to RNA-seq data analysis https://tess.elixir-europe.org/events/introduction-to-rna-seq-data-analysis-5ad59a77-0bc1-444d-b42c-8f9d499d2ef4 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=2673403&course-title=Introduction%20to%20RNA-seq%20data%20analysis).'' 2019-03-27 09:30:00 UTC 2019-03-29 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 [] []
  • Transcriptome Analysis for Non-Model Organisms

    15 - 17 April 2019

    Cambridge, United Kingdom

    Elixir node event
    Transcriptome Analysis for Non-Model Organisms https://tess.elixir-europe.org/events/transcriptome-analysis-for-non-model-organisms RNA-Seq technology has been transformative in our ability to explore gene content and gene expression in all realms of biology, and de novo transcriptome assembly has enabled opportunities to expand transcriptome analysis to non-model organisms. This course provides an overview of modern applications of transcriptome sequencing and popular tools, and algorithms, for exploring transcript reconstruction and expression analysis in a genome-free manner. Attendees will perform quality assessment and upstream analysis of both Illumina and long reads single molecule sequencing data; the derived transcriptomes will be compared, annotated and used as reference for quantifying transcript expression, leveraging on Bioconductor tools for differential expression analysis. Additional methods will be explored for characterising the assembled transcriptome and revealing biological findings. 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 clicking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2846751&course-title=Transcriptome%20Analysis%20for%20Non-Model%20Organisms).'' 2019-04-15 08:30:00 UTC 2019-04-17 11:30:00 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 [] []
  • ChIP-seq and ATAC-seq analysis

    2 - 3 May 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 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=2836139&course-title=ChIP-seq%20and%20ATAC-seq%20analysis).'' 2019-05-02 08:30:00 UTC 2019-05-03 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 [] []
  • Analysis of single cell RNA-seq data

    23 - 24 May 2019

    Cambridge, United Kingdom

    Elixir node event
    Analysis of single cell RNA-seq data https://tess.elixir-europe.org/events/analysis-of-single-cell-rna-seq-data-4c7b80d7-237a-4b44-ba1b-d58016f87d47 Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging. In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq. The course website providing links to the course materials can be found [here](http://hemberg-lab.github.io/scRNA.seq.course/index.html). 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=2823386&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2019-05-23 08:30:00 UTC 2019-05-24 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Transcriptomics Functional genomics 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 [] []
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