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  • jsantoyo
    Head of Genomics
    • Jun 2009
    • 9

    A course on Statistical Methods for mRNA-Seq and ChIP-seq using Bioconductor

    A course on Statistical Methods for mRNA-Seq and ChIP-seq using Bioconductor

    Different solutions for the most common problems derived from the use of Next Generation Sequencing (NGS) in the study of the transcriptome and DNA-protein binding using the popular Bioconductor package.

    The course will be taught by Bioconductor developeprs from the Division of Biostatistics, School of Public Health, University of California, Berkeley and has been organized in collaboration with the Department of Bioinformatics of the CIPF. The course is especially suited to bioinformaticists and advanced users of bioinformatic tools interested in dealing with NGS data. It is also strongly recommended to personnel in charge of data analysis in core facilities implementing NGS.

    The course will be held in the teaching facilities located in the premises of the CIPF.
    More info: http://bioinfo.cipf.es/RNA-seq2010

    Venue
    Centro de Investigacion Principe Felipe (CIPF), Valencia, Spain

    Dates
    Course: 8th to 10th November, 2010.
    Registration closes: 30th October, 2010.

    Program of the course
    • Introduction to high-throughput sequencing
    • Experimental design
    • Pre-processing: Image analysis, base-calling, read-mapping
    • Exploratory data analysis
    • Normalization and expression quantitation
    • Differential expression
    • Inference of isoform expression
    • Introduction to ChIP-seq
    • Statistical aspects of peak-finding
    • Statistical software


    Teachers:
    Laurent Jacob (University of California, Berkeley)
    Oleg Mayba (University of California, Berkeley)

    Organised by:
    Sandrine Dudoit
    Joaquin Dopazo

    Fees and on-line registration:
    Registration fee: 500 €. The price includes meals and coffees at the course location, as well as the gala dinner.
    On-line registration: http://bioinfo.cipf.es/RNA-seq2010-reg

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