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7 events found

Scientific topics: Ecology  or Data mining 

  • 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 [] []
  • Molecular Phylogenetics

    3 - 5 April 2019

    Cambridge, United Kingdom

    Elixir node event
    Molecular Phylogenetics https://tess.elixir-europe.org/events/molecular-phylogenetics-77d5a51a-66b3-4afb-9f5c-d0b759c1d490 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2823369&course-title=Molecular%20Phylogenetics).'' 2019-04-03 08:00:00 UTC 2019-04-05 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 [] []
  • 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 [] []
  • Image Analysis for Biologists

    24 - 26 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-5372065b-76aa-42d1-b91f-17ef321e2e8d 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) 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. 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=2871473&course-title=Image%20Analysis%20for%20Biologists).'' 2019-06-24 08:30:00 UTC 2019-06-26 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 [] []
  • Variant Discovery with GATK4

    8 - 11 July 2019

    Cambridge, United Kingdom

    Elixir node event
    Variant Discovery with GATK4 https://tess.elixir-europe.org/events/variant-discovery-with-gatk4 This workshop will focus on the core steps involved in calling germline short variants, somatic short variants, and copy number alterations with the [Broad’s Genome Analysis Toolkit (GATK)](https://www.broadinstitute.org/gatk/), using “Best Practices” developed by the GATK methods development team. A team of methods developers and instructors from the Data Sciences Platform at Broad will give talks explaining the rationale, theory, and real-world applications of the GATK Best Practices. You will learn why each step is essential to the variant-calling process, what key operations are 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. If you are an experienced GATK user, you will gain a deeper understanding of how the GATK works under-the-hood and how to improve your results further, especially with respect to the latest innovations. The hands-on tutorials for learning GATK tools and commands will be on [Terra](https://terra.bio/), a new platform developed at Broad in collaboration with Verily Life Sciences for accessing data, running analysis tools and collaborating securely and seamlessly. (If you’ve heard of or been a user of FireCloud, think of Terra as the new and improved user interface for FireCloud that makes doing research easier than before!) *Day 1: Introductory topics and hands-on tutorials. We will start off with introductory lectures on sequencing data, preprocessing, variant discovery, and pipelining. Then you will get hands-on with a recreation of a real variant discovery analysis in Terra. *Day 2: Germline short variant discovery. Through a combination of lectures and hands-on tutorials, you will learn: germline single nucleotide variants and indels, joint calling, variant filtering, genotype refinement, and callset evaluation. *Day 3: Somatic variant discovery. In a format similar to Day 2, you will learn: somatic single nucleotide variants and indels, Mutect2, and somatic copy number alterations. *Day 4: Pipelining and performing your analysis end-to-end in Terra. On the final day, you will learn how to write your own pipelining scripts in the Workflow Description Language (WDL) and execute them with the Cromwell workflow management system. You will also be introduced to additional tools that help you do your analysis end-to-end in Terra. 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 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=2858057&course-title=Variant%20Discovery%20with%20GATK4).'' 2019-07-08 08:30:00 UTC 2019-07-11 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 [] []
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