Register event
46 events found

Scientific topics: Data mining 

and

City: Bogota  or Copenhagen  or Cambridge  or Norwich  or Rotterdam 

  • Analysis of mapped NGS data with SeqMonk

    3 February 2016

    Cambridge, United Kingdom

    Elixir node event
    Analysis of mapped NGS data with SeqMonk https://tess.elixir-europe.org/events/analysis-of-mapped-ngs-data-with-seqmonk-43412e62-e3fc-4434-a56e-41cec9577dbf [SeqMonk](http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/) is a graphical program for the visualisation and analysis of large mapped sequencing datasets such as ChIP-Seq, RNA-Seq, and BS-Seq. The program allows you to view your reads against an annotated genome and to quantitate and filter your data to let you identify regions of interest. It is a friendly way to explore and analysis very large datasets. This course provides an introduction to the main features of SeqMonk and will run through the analysis of a couple of different datasets to show what sort of analysis options it provides. Further information is available [here](http://www.bioinformatics.babraham.ac.uk/training.html#seqmonk). 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://marstons.bio.cam.ac.uk/course-booking/?CourseID=Analysing%20mapped%20NGS%20data%20with%20SeqMonk_bioinfo-seqmonk_03.02.2016_1572361&CourseName=Analysing%20mapped%20NGS%20data%20with%20SeqMonk&CourseDate=03.02.2016&CourseDuration=1&EventID=1572361).'' 2016-02-03 09:30:00 UTC 2016-02-03 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq Exome sequencing Data mining Data visualisation ChIP-seq 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

    20 - 22 April 2016

    Cambridge, United Kingdom

    Elixir node event
    Molecular Phylogenetics https://tess.elixir-europe.org/events/molecular-phylogenetics-e59d127b-28f9-496b-8225-52f6bd013d78 The 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. Course timetable is available [here](https://drive.google.com/file/d/0B5BzNXp93Gp5WURyTFRUUGplbzg/view?usp=sharing). 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://marstons.bio.cam.ac.uk/course-booking/?CourseID=Molecular%20Phylogenetics_bioinfo-phylng_20-22.04.2016_1572213&CourseName=Molecular%20Phylogenetics&CourseDate=20-22.04.2016&CourseDuration=3&EventID=1572213).'' 2016-04-20 08:30:00 UTC 2016-04-22 16:30:00 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
  • Variant Analysis with GATK

    13 - 14 June 2016

    Cambridge, United Kingdom

    Elixir node event
    Variant Analysis with GATK https://tess.elixir-europe.org/events/variant-analysis-with-gatk-3624e45d-cd74-4297-bc4c-d40298e39632 This workshop will focus on the core steps involved in calling variants with the [Broad’s Genome Analysis Toolkit](https://www.broadinstitute.org/gatk/), using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset. In the course of this workshop, we highlight key functionalities such as the GVCF workflow for joint variant discovery in cohorts, RNAseq­ specific processing, and somatic variant discovery using MuTect2. We also preview capabilities of the upcoming GATK version 4, including a new workflow for CNV discovery. The workshop is composed of one day of lectures (including many opportunities for Q&A) and one day of hands­on training. On the first day, we explain the rationale, theory and application of our Best Practices for Variant Discovery in high­-throughput sequencing data. On the second day, we walk attendees through hands­on exercises that teach how to manipulate the standard data formats involved in variant discovery and how to apply GATK tools appropriately to various use cases and data types. In the course of these exercises, we demonstrate useful tips and tricks for interacting with GATK, dealing with problems, and using third­party tools such as Samtools, IGV and RStudio. Please note that this workshop is focused on human data analysis. The majority of the materials presented does apply equally to non ­human data, and we will address some questions regarding adaptations that are needed for analysis of non­ human data, but we will not go into much detail on those points. The timetable can be found [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/gatk). 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://marstons.bio.cam.ac.uk/course-booking/?CourseID=Variant%20Analysis%20with%20GATK%20_13-14.06.2016_1572767&CourseName=Variant%20Analysis%20with%20GATK&CourseDate=13-14.06.2016&CourseDuration=2&EventID=1572767).'' 2016-06-13 08:30:00 UTC 2016-06-14 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq Genomics Exome sequencing Data visualisation Data mining ChIP-seq Bioinformatics University of Cambridge Bioinformatics Training [] The lecture­ based component of the workshop is aimed at a mixed audience of people who are new to the topic of variant discovery or to GATKseeking an introductory course into the toolsor who are already GATK users seeking to improve their understanding of and proficiency with the tools.The hands­on component is aimed at novice to intermediate users who are seeking detailed guidance with GATK and related tools.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Protein Structure Analysis

    28 - 29 November 2016

    Cambridge, United Kingdom

    Elixir node event
    Protein Structure Analysis https://tess.elixir-europe.org/events/protein-structure-analysis This course covers data resources and analytical approaches for the discovery and interpretation of biomacromolecular structures. Day 1 focuses on public repositories of structural data ([Protein Data Bank](http://www.ebi.ac.uk/pdbe/) and [Electron Microscopy Data Bank](https://www.ebi.ac.uk/pdbe/emdb/)) and resources for protein analysis and classification ([Pfam](http://pfam.xfam.org/), [InterPro](https://www.ebi.ac.uk/interpro/) and [HMMER](https://www.ebi.ac.uk/Tools/hmmer)). Day 2 covers how to find information about the structure and function of your protein sequence using [CATH](http://www.cathdb.info/), principles of modern state-of-the-art protein modelling with [ Phyre2](http://www.sbg.bio.ic.ac.uk/phyre2/) and methods for predicting the effects of mutations on protein structure and function using the [SAAP family of tools](http://www.bioinf.org.uk/saap/). 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=1879212&course-title=Protein%20Structure%20Analysis).'' 2016-11-28 09:30:00 UTC 2016-11-29 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Protein structure analysis 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
  • Image Analysis for Biologists

    12 - 14 December 2016

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-a6ce3427-1d29-46e0-9738-bc9d4dca1538 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualization, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). On day 3, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. A timetable is available [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/bioinfo-image). 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=1879343&course-title=Image%20Analysis%20for%20Biologists).'' 2016-12-12 09:30:00 UTC 2016-12-14 16:00:00 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 are applying or planning to apply image analysis in their researchGraduate 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

    15 - 16 December 2016

    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 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. 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=1879361&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2016-12-15 09:30:00 UTC 2016-12-16 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
  • Introduction to machine learning with R

    1 - 2 March 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to machine learning with R https://tess.elixir-europe.org/events/introduction-to-machine-learning-with-r This course provides a broad introduction to machine learning. Several state-of-the-art machine learning algorithms will be presented, with a focus on classification techniques using KNN, decision trees and random forests. 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=1923419&course-title=Introduction%20to%20machine%20learning%20with%20R).'' 2017-03-01 09:30:00 UTC 2017-03-02 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 [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Analysis of single cell RNA-seq data

    16 - 17 March 2017

    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-0d696dc2-9a71-4101-9f84-9c3ac28b0eb5 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). 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=1923637&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2017-03-16 09:30:00 UTC 2017-03-17 17:00:00 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 [] HDRUK
  • Introduction to high-throughput sequencing data analysis

    28 - 31 March 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to high-throughput sequencing data analysis https://tess.elixir-europe.org/events/introduction-to-high-throughput-sequencing-data-analysis This course provides an introduction to high-throughput sequencing (HTS) data analysis methodologies. Lectures will give insight into how biological knowledge can be generated from RNA-seq, ChIP-seq and DNA-seq experiments and illustrate different ways of analyzing such data. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of RNA-seq, ChIP-seq and DNA-seq data under the guidance of the lecturers and teaching assistants. It is aimed at researchers who are applying or planning to apply HTS technologies and bioinformatics methods in their research. 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=1983575&course-title=Introduction%20to%20high-throughput%20sequencing%20data%20analysis).'' 2017-03-28 08:30:00 UTC 2017-03-31 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Transcriptomics RNA-Seq Functional genomics Epigenomics Data visualisation Data mining ChIP-seq 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

    19 - 21 April 2017

    Cambridge, United Kingdom

    Elixir node event
    Molecular Phylogenetics https://tess.elixir-europe.org/events/molecular-phylogenetics-8c47b6db-db1a-4f3a-ae03-1c66a14e7536 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. 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=2008248&course-title=Molecular%20Phylogenetics).'' 2017-04-19 08:00:00 UTC 2017-04-21 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge Cambridgeshire 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 42 workshops_and_courses first_come_first_served HDRUK
  • Analysis of small RNA-seq data

    2 - 3 May 2017

    Cambridge, United Kingdom

    Elixir node event
    Analysis of small RNA-seq data https://tess.elixir-europe.org/events/analysis-of-small-rna-seq-data This course focuses on methods for the analysis of small non-coding RNA data obtained from high-throughput sequencing (HTS) applications (small RNA-seq). During the course, approaches to the investigation of all classes of small non-coding RNAs will be presented, in all organisms. Day 1 will focus on the analysis of microRNAs and day 2 will cover the analysis of other types of small RNAs, including Piwi-interacting (piRNA), small interfering (siRNA), small nucleolar (snoRNA) and tRNA-derived (tsRNA). 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=2010014&&course-title=Analysis%20of%20small%20RNA-seq%20data).'' 2017-05-02 08:30:00 UTC 2017-05-03 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 42 workshops_and_courses first_come_first_served HDRUK
  • Analysis of RNA-seq data with Bioconductor

    4 - 5 May 2017

    Cambridge, United Kingdom

    Elixir node event
    Analysis of RNA-seq data with Bioconductor https://tess.elixir-europe.org/events/analysis-of-rna-seq-data-with-bioconductor This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq data. We will present a workflow for the analysis RNA-seq data starting from aligned reads in bam format and producing a list of differentially-expressed genes. We will also describe the various resources available through Bioconductor to annotate, visualise and gain biological insight from the differential expression results. 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=2036601&course-title=Analysis%20of%20RNA-seq%20data%20with%20Bioconductor).'' 2017-05-04 08:30:00 UTC 2017-05-05 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 42 workshops_and_courses first_come_first_served HDRUK
  • Introduction to genome variation analysis using NGS

    18 - 19 May 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to genome variation analysis using NGS https://tess.elixir-europe.org/events/introduction-to-genome-variation-analysis-using-ngs This course provides an introduction to the analysis of human genome sequence variation with next generation sequencing data (NGS), including: *an introduction to genetic variation as well as data formats and analysis workflows commonly used in NGS data analysis; *an overview of available analytical tools and discussion of their limitations; and *hands-on experience with common computational workflows for analysing genome sequence variation using bioinformatics and computational genomics approaches. 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=1923651&course-title=Introduction%20to%20genome%20variation%20analysis%20using%20NGS).'' 2017-05-18 08:30:00 UTC 2017-05-19 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 first_come_first_served HDRUK
  • Introduction to RNA-seq and ChIP-seq data analysis

    22 - 23 June 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to RNA-seq and ChIP-seq data analysis https://tess.elixir-europe.org/events/introduction-to-rna-seq-and-chip-seq-data-analysis-83b4f656-ef26-441e-b0ef-f990e78de471 The aim of this course is to familiarize the participants with the primary analysis of datasets generated through two popular high-throughput sequencing (HTS) assays: ChIP-seq and RNA-seq. This course starts with a brief introduction to the transition from capillary to high-throughput sequencing (HTS) and discusses quality control issues, which are common among all HTS datasets. Next, we will present the alignment step and how it differs between the two analysis workflows. Finally, we focus on dataset specific downstream analysis, including peak calling and motif analysis for ChIP-seq and quantification of expression, transcriptome assembly and differential expression analysis for RNA-seq. 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=2017446&course-title=Introduction%20to%20RNA-seq%20and%20ChIP-seq%20data%20analysis).'' 2017-06-22 08:30:00 UTC 2017-06-23 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq ChIP-seq Data mining Transcriptomics 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 42 workshops_and_courses first_come_first_served HDRUK
  • Image Analysis for Biologists

    26 - 28 June 2017

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-cd4b3336-bf22-48de-8e32-e4c22f2c4722 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). On day 3, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). In the afternoon, we will present the [Image Data Resource](https://idr.openmicroscopy.org/), an added-value platform that combines data from multiple independent imaging experiments and imaging modalities and integrates them into a single resource for reanalysis in a convenient, scalable form. 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=2046117&course-title=Image%20Analysis%20for%20Biologists).'' 2017-06-26 08:30:00 UTC 2017-06-28 15:00:00 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 are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals 42 workshops_and_courses first_come_first_served HDRUK
  • Protein Structure Analysis

    10 - 11 July 2017

    Cambridge, United Kingdom

    Elixir node event
    Protein Structure Analysis https://tess.elixir-europe.org/events/protein-structure-analysis-f4205ed8-96d7-4e6b-83cc-b64ccf449cd8 This course covers data resources and analytical approaches for the discovery and interpretation of biomacromolecular structures. Day 1 focuses on public repositories of structural data ([Protein Data Bank](http://www.ebi.ac.uk/pdbe/) and [Electron Microscopy Data Bank](https://www.ebi.ac.uk/pdbe/emdb/)) and resources for protein analysis and classification ([Pfam](http://pfam.xfam.org/), [InterPro](https://www.ebi.ac.uk/interpro/) and [HMMER](https://www.ebi.ac.uk/Tools/hmmer)). Day 2 covers how to find information about the structure and function of your protein sequence using [CATH](http://www.cathdb.info/), principles of modern state-of-the-art protein modelling with [ Phyre2](http://www.sbg.bio.ic.ac.uk/phyre2/) and methods for predicting the effects of mutations on protein structure and function using the [SAAP family of tools](http://www.bioinf.org.uk/saap/). 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=2052063&course-title=Protein%20Structure%20Analysis).'' 2017-07-10 08:30:00 UTC 2017-07-11 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Protein structure analysis 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 42 workshops_and_courses first_come_first_served HDRUK
  • Variant Analysis with GATK

    12 - 14 July 2017

    Cambridge, United Kingdom

    Elixir node event
    Variant Analysis with GATK https://tess.elixir-europe.org/events/variant-analysis-with-gatk-f9388ff6-86d9-4162-b17b-e4332acd9850 This workshop will focus on the core steps involved in calling variants with the [Broad’s Genome Analysis Toolkit](https://www.broadinstitute.org/gatk/), using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset. In the course of this workshop, we highlight key functionalities such as the germline GVCF workflow for joint variant discovery in cohorts, RNAseq­ specific processing, and somatic variant discovery using MuTect2. We also preview capabilities of the upcoming GATK version 4, including a new workflow for CNV discovery, and we demonstrate the use of pipelining tools to assemble and execute GATK workflows. The workshop is composed of one day of lectures and two days of hands­on training, structured as follows. Day 1: theory and application of the Best Practices for Variant Discovery in high­throughput sequencing data. Day 2 and the morning of Day 3: hands­on exercises on how to manipulate the standard data formats involved in variant discovery and how to apply GATK tools appropriately to various use cases and data types. Day 3 afternoon: hands-on exercises on how to write workflow scripts using WDL, the Broad's new Workflow Description Language, and to execute these workflows locally as well as through a publicly accessible cloud-based service. Please note that this workshop is focused on human data analysis. The majority of the materials presented does apply equally to non­human data, and we will address some questions regarding adaptations that are needed for analysis of non­-human data, but we will not go into much detail on those points. 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=2047357&course-title=Variant%20Analysis%20with%20GATK).'' 2017-07-12 08:30:00 UTC 2017-07-14 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 42 workshops_and_courses first_come_first_served HDRUK
  • An Introduction to Machine Learning with R

    28 - 29 September 2017

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning with R https://tess.elixir-europe.org/events/an-introduction-to-machine-learning 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. Course materials are available [here](https://bioinformatics-training.github.io/intro-machine-learning-2017/). 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=2116325&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2017-09-28 08:30:00 UTC 2017-09-29 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 introductory course is aimed at biologists with little or no experience in machine learning.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Introduction to RNA-seq and ChIP-seq data analysis

    25 - 26 October 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to RNA-seq and ChIP-seq data analysis https://tess.elixir-europe.org/events/introduction-to-rna-seq-and-chip-seq-data-analysis-ee3e83c6-b331-43d9-822f-d4e4f865bd8f The aim of this course is to familiarize the participants with the primary analysis of datasets generated through two popular high-throughput sequencing (HTS) assays: ChIP-seq and RNA-seq. This course starts with a brief introduction to the transition from capillary to high-throughput sequencing (HTS) and discusses quality control issues, which are common among all HTS datasets. Next, we will present the alignment step and how it differs between the two analysis workflows. Finally, we focus on dataset specific downstream analysis, including peak calling and motif analysis for ChIP-seq and quantification of expression, transcriptome assembly and differential expression analysis for RNA-seq. 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=2197137&course-title=Introduction%20to%20RNA-seq%20and%20ChIP-seq%20data%20analysis).'' 2017-10-25 08:30:00 UTC 2017-10-26 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq ChIP-seq Data mining Transcriptomics 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 [] HDRUK
  • Analysis of single cell RNA-seq data

    31 October - 1 November 2017

    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 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 access 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 clicking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2184854&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2017-10-31 09:30:00 UTC 2017-11-01 17:00:00 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 [] HDRUK
  • Using CellProfiler and CellProfiler Analyst to analyse biological images

    13 - 14 December 2017

    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-0ecfe90a-5697-48c3-96c4-0d318bb4bcd2 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. 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=1923396&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2017-12-13 09:30:00 UTC 2017-12-14 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 Machine Learning

    17 - 18 January 2018

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-34557414-af98-4df4-a51d-d8b5af96afcc 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 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=2195228&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2018-01-17 09:30:00 UTC 2018-01-18 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 introductory course is aimed at biologists with little or no experience in machine learning.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Advanced ChIP-seq data analysis

    22 - 23 February 2018

    Cambridge, United Kingdom

    Elixir node event
    Advanced ChIP-seq data analysis https://tess.elixir-europe.org/events/advanced-chip-seq-data-analysis The primary aim of this course is to familiarise participants with the analysis of ChIP-seq data and provide hands-on training on the latest analytical approaches. The course starts with an introduction to ChIP-seq experiments and discusses quality control issues. We first show 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. We then focus on the analysis of differential binding when comparing between different samples. In addition, there is a short introduction to ATAC-seq data analysis for the detection of regions of open chromatin. 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=2425125&course-title=Advanced%20ChIP-seq%20data%20analysis).'' 2018-02-22 09:30:00 UTC 2018-02-23 17:30:00 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 [] HDRUK
  • Analysis of RNA-seq data with Bioconductor

    28 - 29 March 2018

    Cambridge, United Kingdom

    Elixir node event
    Analysis of RNA-seq data with Bioconductor https://tess.elixir-europe.org/events/analysis-of-rna-seq-data-with-bioconductor-9234681b-7454-4a0c-9c50-cd1474a4d718 This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq data. We will present a workflow for the analysis RNA-seq data starting from aligned reads in bam format and producing a list of differentially-expressed genes. We will also describe the various resources available through Bioconductor to annotate, visualise and gain biological insight from the differential expression results. 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=2383159&course-title=Analysis%20of%20RNA-seq%20data%20with%20Bioconductor).'' 2018-03-28 08:30:00 UTC 2018-03-29 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 [] HDRUK
  • Molecular Phylogenetics

    18 - 20 April 2018

    Cambridge, United Kingdom

    Elixir node event
    Molecular Phylogenetics https://tess.elixir-europe.org/events/molecular-phylogenetics-fc42b45e-746a-4928-934f-74254b242359 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. 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=2383393&course-title=Molecular%20Phylogenetics).'' 2018-04-18 08:00:00 UTC 2018-04-20 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
  • An Introduction to Machine Learning

    1 - 2 May 2018

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-38f5ae26-439f-4c3f-9803-fadbefd9ea1a 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. 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=2386028&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2018-05-01 08:30:00 UTC 2018-05-02 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 introductory course is aimed at biologists with little or no experience in machine learning.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Protein Structure Analysis

    24 - 25 May 2018

    Cambridge, United Kingdom

    Elixir node event
    Protein Structure Analysis https://tess.elixir-europe.org/events/protein-structure-analysis-c4198c49-a642-4c17-a225-680992e1d4fd This course covers data resources and analytical approaches for the discovery and interpretation of biomacromolecular structures. Day 1 focuses on public repositories of structural data ([Protein Data Bank](http://www.ebi.ac.uk/pdbe/) and [Electron Microscopy Data Bank](https://www.ebi.ac.uk/pdbe/emdb/)) and resources for protein analysis and classification ([Pfam](http://pfam.xfam.org/), [InterPro](https://www.ebi.ac.uk/interpro/) and [HMMER](https://www.ebi.ac.uk/Tools/hmmer)). Day 2 covers how to find information about the structure and function of your protein sequence using [CATH](http://www.cathdb.info/), principles of modern state-of-the-art protein modelling with [ Phyre2](http://www.sbg.bio.ic.ac.uk/phyre2/) and methods for predicting the effects of mutations on protein structure and function using the [SAAP family of tools](http://www.bioinf.org.uk/saap/). 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=2419336&course-title=Protein%20Structure%20Analysis).'' 2018-05-24 08:30:00 UTC 2018-05-25 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Protein structure analysis 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
  • Introduction to RNA-seq data analysis

    18 - 20 June 2018

    Cambridge, United Kingdom

    Elixir node event
    Introduction to RNA-seq data analysis https://tess.elixir-europe.org/events/introduction-to-rna-seq-data-analysis-008b588c-002b-4556-a837-f41466461cec 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. 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=2505682&course-title=Introduction%20to%20RNA-seq%20data%20analysis).'' 2018-06-18 08:30:00 UTC 2018-06-20 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 [] HDRUK
  • Image Analysis for Biologists

    9 - 11 July 2018

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-2e61e51b-b3c2-44bb-844e-191710e6ffd5 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate) and advanced image segmentation using [Ilastik](http://ilastik.org/). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. On day 3, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). 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=2495657&course-title=Image%20Analysis%20for%20Biologists).'' 2018-07-09 08:30:00 UTC 2018-07-11 16:00:00 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 are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Variant Discovery with GATK4

    16 - 19 July 2018

    Cambridge, United Kingdom

    Elixir node event
    Variant Discovery with GATK4 https://tess.elixir-europe.org/events/variant-analysis-with-gatk-1c39207f-184f-4cb6-a01e-2e4ee6aa4ee3 This workshop will focus on the core steps involved in calling variants with the [Broad’s Genome Analysis Toolkit](https://www.broadinstitute.org/gatk/), using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset. In the course of this workshop, we highlight key functionalities such as the germline GVCF workflow for joint variant discovery in cohorts, somatic variant discovery using MuTect2, and copy number variation discovery using GATK-CNV. All analyses are demonstrated using GATK version 4. Finally, we demonstrate the use of pipelining tools to assemble and execute GATK workflows. The workshop covers basic genomics, all currently supported Best Practices pipelines as well as pipelining with WDL/Cromwell/FireCloud. This includes the logic of the major pipelines, file formats and data transformations involved, and hands-on operation of the tools using goal-oriented exercises. *Day 1: Introduction to Genomics, GATK Best Practices and Pipelining *Day 2: Germline short variant discovery (SNPs + Indels) *Day 3: Somatic variant discovery (SNVs + Indels + CNVs) *Day 4: Writing pipelines with WDL and running them in FireCloud Please note that this workshop is focused on human data analysis. The majority of the materials presented does apply equally to non-human data, and we will address some questions regarding adaptations that are needed for analysis of non-human data, but we will not go into much detail on those points. 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=2483603&course-title=Variant%20Discovery%20with%20GATK4).'' 2018-07-16 08:30:00 UTC 2018-07-19 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Genomics Data visualisation Data mining Bioinformatics University of Cambridge Bioinformatics Training [] The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statisticsbut who have not perhaps put this into practice since.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.