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67 events found

Scientific topics: ChIP-seq  or Data mining 

  • Systems Metabolomics – A research collaborative in Melbourne

    3 March 2015

    Melbourne, Australia

    Systems Metabolomics – A research collaborative in Melbourne https://tess.elixir-europe.org/events/systems-metabolomics-a-research-collaborative-in-melbourne A Victorian Systems Biology Collaborative to engage researchers to present their latest projects. There would be a discussion forum and networking session to explore different perspectives on the future of metabolomics research. 2015-03-03 09:00:00 UTC 2015-03-03 00:00:00 UTC University of Melbourne Melbourne Brain Centre, Kenneth Myer Building, Parkville, Melbourne, Australia Melbourne Brain Centre, Kenneth Myer Building, Parkville Melbourne Australia Data architecture, analysis and design Data mining Systems biology Metabolomics [] [] [] meetings_and_conferences [] ABRBioinformaticslifescience
  • 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
  • 2-day Introduction to NGS Data Analysis

    14 - 15 June 2016

    Melbourne, Australia

    2-day Introduction to NGS Data Analysis https://tess.elixir-europe.org/events/2-day-introduction-to-ngs-data-analysis This Introduction to NGS Data Analysis is a two-day, hands-on workshop that offers attendees a basic understanding of NGS data analysis workflows. The workshop provides hands-on computational experience in analysis of NGS data using common analytical approaches for ChIP-Seq and RNA-Seq data. Workshop Outline -Topics covered by this workshop include: -An introduction to the command line interface and NGS file formats -Assessment of the quality of NGS sequence reads -Sequence alignment algorithms -Basic ChIP-Seq analysis -Basic RNA-Seq analysis 2016-06-14 09:00:00 UTC 2016-06-15 00:00:00 UTC Monash University Monash University, Melbourne, Australia Monash University Melbourne Australia Bioinformatics Data architecture, analysis and design ChIP-seq RNA-Seq [] [] [] workshops_and_courses [] ABRBPAIntroduction
  • Introduction to NGS Data Analysis

    14 - 15 June 2016

    Melbourne, Australia

    Introduction to NGS Data Analysis https://tess.elixir-europe.org/events/introduction-to-ngs-data-analysis This Introduction to NGS Data Analysis is a two-day, hands-on workshop that offers attendees a basic understanding of NGS data analysis workflows. The workshop provides hands-on computational experience in analysis of NGS data using common analytical approaches for ChIP-Seq and RNA-Seq data. 2016-06-14 09:00:00 UTC 2016-06-15 00:00:00 UTC Monash University Melbourne, Australia Melbourne Australia Bioinformatics Data architecture, analysis and design ChIP-seq RNA-Seq [] [] [] workshops_and_courses [] ABRBPABioinformaticsRNA
  • Introduction to ChIP-seq Data Analysis and Visualisation using Ensembl

    22 - 23 November 2016

    Edinburgh, United Kingdom

    Introduction to ChIP-seq Data Analysis and Visualisation using Ensembl https://tess.elixir-europe.org/events/introduction-to-chip-seq-data-analysis-and-visualisation-using-ensembl ChIP-seq (Chromatin ImmunoPrecipitation followed by Sequencing) is a popular high-throughput sequencing assay to identify binding sites of DNA-associated proteins and histone modifications. Determining how proteins interact with DNA and the epigenetic landscape is essential for elucidating the regulation of gene expression. The aim of this workshop is to familiarise the participants with the primary analysis of ChIP-seq data sets by providing a balanced set of lectures and practicals on analysis methodologies. Practicals include publicly available ChIP-seq datasets, processed using widely used and open-source software programs (e.g. FASTQC, BWA, samtools, bedtools, wiggletools, MACS2, MEME, TOMTOM, ngsplot) and visualised on the Ensembl genome browser. 2016-11-22 00:00:00 UTC 2016-11-23 00:00:00 UTC Edinburgh Genomics The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom ChIP-seq Bioinformatics [] [] [] workshops_and_courses [] BioinformaticsChIP-seq
  • Analysis of gene regulatory sequencing data: ChIP-seq, ATAC-seq and Hi-C

    24 - 25 November 2016

    Cambridge, United Kingdom

    Elixir node event
    Analysis of gene regulatory sequencing data: ChIP-seq, ATAC-seq and Hi-C https://tess.elixir-europe.org/events/analysis-of-gene-regulatory-sequencing-data-chip-seq-atac-seq-and-hi-c This advanced course will cover high-throughput sequencing data processing, ChIP-seq data analysis (including alignment, peak calling), differences in analyses methods for transcription factors (TF) binding and epigenomic datasets, a range of downstream analysis methods for extracting meaningful biology from ChIP-seq data and will provide an introduction to the analysis of open chromatin with ATAC-seq and long-distance interactions with chromosomal conformation capture based Hi-C datasets. Materials for this course can be found [here](https://github.com/shamith-s/NGS_course). 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=1878956&course-title=Analysis%20of%20gene%20regulatory%20sequencing%20data).'' 2016-11-24 09:30:00 UTC 2016-11-25 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Epigenomics 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
  • 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
  • Epigenomic Data Analysis

    15 - 16 June 2017

    Montreal, Canada

    Epigenomic Data Analysis https://tess.elixir-europe.org/events/epigenomic-data-analysis-814bc674-0a0a-42a1-9bd5-bbc43ae8b2b6 High-throughput sequencing of Chromatin-Immunoprecipitated libraries (ChIP-seq) and of bisulfite converted DNA (WGBS) have become increasingly common and have largely supplanted microarrays for chromatin and DNA methylation profiling. When processed appropriately, ChIP-seq data provides base-pair resolution representations of transcription factor DNA-binding events and nucleosome (histone) modifications genome-wide. Similarly, WGBS can provide a quantitative genome wide profile of cytosine methylation. The CBW has developed a 2-day course providing an introduction to histone ChIP-seq and WGBS data analysis followed by integrated tutorials demonstrating the use of open source ChIP-Seq and WGBS analysis packages. The tutorials are designed as self-contained units that include example data and detailed instructions for installation of all required bioinformatics tools (FASTQC, BWA, MACS2, FindER, samtools, Picard, BisSNP). The course also includes an overview of integrative epigenomic tools that have been developed to explore ChIP-Seq and WGBS data together with other epigenomic datasets such as RNA-seq, DHS-seq and ATAC-seq. Participants will gain practical experience and skills to be able to: Align ChIP-seq and WGBS sequence data to a reference genome (required) Identify narrow and broad peaks from ChIP-seq data Identify methylated levels from WGBS data Visualize and summarize the output of ChIP-Seq and WGBS analyses Explore integrative tools for epigenomic data sets 2017-06-15 08:30:00 UTC 2017-06-16 17:00:00 UTC bioinformatics.ca Montreal, Montreal, Canada Montreal Montreal Montreal Canada ChIP-seq Epigenomics [] course_info@bioinformatics.ca [] [] 30 workshops_and_courses registration_of_interest []
  • 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
  • Biomolecular data mining: a hands-on training

    11 - 13 September 2017

    Antwerpen, Belgium

    Elixir node event
    Biomolecular data mining: a hands-on training https://tess.elixir-europe.org/events/biomolecular-data-mining-a-hands-on-training This course aims to introduce the core principles and biomedical applications of different data mining and machine learning techniques in a hands-on manner. It will tackle both unsupervised (clustering, frequent pattern mining, data projection) and supervised (classification) techniques. The methods that will be seen include hierarchical clustering, k- means clustering, item set mining, association rule mining, principle component analysis, support vector machines, random forests, bayesian networks and artificial neural networks. Attendees will be introduced to the basic operations of these data mining techniques, with a focus on the practical use and interpretation of these procedures rather than the mathematical formulas. In addition, attendants will be introduced to some important data processing and performance evaluation methods related to these data mining techniques. The software used in this course will be R. The course itself will consist of 50% theory lessons, 40% hands-on practicals and 10% application case studies. Organised by biomina: Dr. Pieter Meysman Prof. dr. Kris Laukens 2017-09-11 09:00:00 UTC 2017-09-13 17:00:00 UTC biomina Antwerpen Groenenborgerlaan, Antwerpen, Belgium Antwerpen Groenenborgerlaan Antwerpen Antwerpen Belgium 2020 Biomedical science Machine learning Data mining University of Antwerp Dr. Pieter Meysman Prof. dr. Kris Laukens ELIXIR Belgium and Flemish Region PhD studentsPostDocs 30 workshops_and_courses registration_of_interest []
  • 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
  • Introduction to ChIP-seq Data Analysis and Visualisation using Ensembl

    23 - 24 November 2017

    Edinburgh, United Kingdom

    Elixir node event
    Introduction to ChIP-seq Data Analysis and Visualisation using Ensembl https://tess.elixir-europe.org/events/introduction-to-chip-seq-data-analysis-and-visualisation-using-ensembl-d125d464-c708-4919-8322-19d50246c22d ChIP-seq (Chromatin ImmunoPrecipitation followed by Sequencing) is a popular high-throughput sequencing assay to identify binding sites of DNA-associated proteins and histone modifications. Determining how proteins interact with DNA and the epigenetic landscape is essential for elucidating the regulation of gene expression. The aim of this workshop is to familiarise the participants with the primary analysis of ChIP-seq data sets by providing a balanced set of lectures and practicals on analysis methodologies. Practicals include publicly available ChIP-seq datasets, processed using widely used and open-source software programs (e.g. FASTQC, BWA, samtools, bedtools, wiggletools, MACS2, MEME, TOMTOM, ngsplot) and visualised on the Ensembl genome browser. 2017-11-23 09:00:00 UTC 2017-11-24 17:00:00 UTC The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom EH9 3JN Genomics ChIP-seq Bioinformatics Edinburgh Genomics Bert Overduin - bert.overduin@ed.ac.uk [] [] workshops_and_courses [] BioinformaticsChIP-seqGenomics
  • 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
  • Linux shell scripting for high-throughput biological data processing on supercomputers

    16 - 17 January 2018

    Roma, Italy

    Linux shell scripting for high-throughput biological data processing on supercomputers https://tess.elixir-europe.org/events/linux-shell-scripting-for-high-throughput-biological-data-processing-on-supercomputers An unprecedented amount of biomedical data have been produced and stored in the last years. Managing such biological big data is often not affordable without high-performance computing architectures, needed to analyze and process large-scale datasets. Running high-throughput (HTP) bioinformatics data pipelines on supercomputing machines requires advanced Linux shell command line and scripting skills. Most scientists working with such data often lack such skills or have acquired them by self-learning without becoming fully independent and fluent. This may have repercussions on the quality, reproducibility, and reliability of the analyses. In this two-day course, we will introduce the Linux shell and, on day one, we will show how to navigate and work with files and directories, how to combine commands to do new things, how to perform the same actions on many different files, how to filter and selectively extract data from tables, and how to find objects in files. Moreover, we will show how to connect to a remote supercomputer and how to utilise a supercomputing environment to analyse big amount of biological data, run simple shell scripts and bioinformatics pipelines. Day 2 will be wholly practical. Participants are invited to let us know in advance which are the typical file format(s) they have to deal with (e.g. fastq, table, etc), the typical processes they need to perform on them (e.g. filtering, ordering, etc.) and the typical programs they need to run (e.g. bwa, hisat2, etc.) so that we can prepare tailored practicals. Participants are also welcome to come to the course with one or more files they wish to work with, provided they do not exceed a given size. 2018-01-16 09:00:00 UTC 2018-01-17 18:00:00 UTC Allegra Via (ELIXIR-IIB Training Coordinator, IBPM-CNR, IT) Loredana Le Pera (ELIXIR-IIB Training Team, IBIOM-CNR, IT) Tiziana Castrignanò (SCAI Department, CINECA, Roma, IT) Via dei Tizii, 6B, Roma, Italy Via dei Tizii, 6B Roma Città Metropolitana di Roma Italy 00185 Data mining Bioinformatics CINECA elixir.ita.training@gmail.com [] Biologistsbeginner bioinformaticiansBiomedical researchersPhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 20 workshops_and_courses first_come_first_servedregistration_of_interest Unix/LinuxHTP dataShell scriptManaging and Processing datasupercomputer

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