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DTSTAMP:20260614T195606Z
UID:102d10e5-5a63-4561-b4d3-5bf3de9be192
DTSTART:20160525T090000Z
DTEND:20160525T000000Z
DESCRIPTION:This hands-on workshop will introduce users of the R software e
 nvironment to the specific skills and applications used in the analysis of
  microarray and next-generation sequencing (NGS) data.\n\nPractical exerci
 ses will include quality control and normalisation of data for differentia
 l gene expression\, and linking genomic information to external public dat
 asets.\n\nRecommended participants\n\nBiologists and bioinformaticians wis
 hing to use R for RNA expression analysis. Prior expertise with R and the 
 command line interface is required\, to a level equivalent of that provide
 d by the QFAB workshop “Introduction to R”.\n\nWhat will I learn?\n\nD
 uring this course you will learn about:\n\nPre-processing and quality cont
 rol of microarray and RNA-Seq data\nThe use of R packages for the identifi
 cation of differentially-expressed genes from expression data\nSystems bio
 logy interpretation of gene lists using pathway analysis\nIntegration of e
 xpression and genome data with Ensembl databases\nAfter this course you sh
 ould be able to:\n\nImport Affymetrix CEL files to R as data objects\nCarr
 y out standard QC tests on microarray and RNA-Seq datasets\nUse the limma-
 voom R package to produce lists of differentially expressed genes between 
 pairs of samples\nIdentify over-represented gene ontology categories in ge
 ne lists using the GOStats package\n
LOCATION:University of Queensland
SUMMARY:Differential Gene Expression Analysis with R (microarray and NGS)
URL;VALUE=URI:http://www.qfab.org/event/workshop-analysis-of-microarray-and
 -ngs-data-with-r-2-2/
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