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<li>Shamith Samarajiwa</li>
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</p>
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<h3>
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<a id="prerequisites" class="anchor" href="#prerequisites" aria-hidden="true"><span class="octicon octicon-link"></span></a>Prerequisites.</h3>
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<p>
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<li>A knowledge of current sequencing technologies, data formats (e.g. fastq and bam) and alignment </li>
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<li>A very basic knowledge of UNIX would be an advantage, but nothing will be assumed and extremely little will be required </li>
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<li>Attendees should be comfortable with using the R statistical language to read and manipulate data, and produce simple graphs</li>
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</p>
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<h3>
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<a id="aims" class="anchor" href="#aims" aria-hidden="true"><span class="octicon octicon-link"></span></a>Aims.</h3>
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<p>
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<li>To provide an understanding of how aligned sequencing reads, genome sequences and genomic regions are represented in R. </li>
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<li>To encourage confidence in reading sequencing reads into R, performing quality assessment and executing standard pipelines for RNA-Seq and ChIP-Seq analysis </li>
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</p>
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<h3>
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<a id="objectives" class="anchor" href="#objectives" aria-hidden="true"><span class="octicon octicon-link"></span></a>Objectives.</h3>
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<p>
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<li>Know what tools are available in Bioconductor for HTS analysis and understand the basic object-types that are utilised. </li>
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<li>Given a set of gene identifiers, find out whereabouts in the genome they are located, and vice-versa (i.e. go from genomic coordinates to genes). </li>
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<li>Produce a list of differentially expressed genes from an RNA-Seq experiment. </li>
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<li>Import a set of ChIP-Seq peaks and investigate their biological context.</li>
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</p>
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<h3>
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<a id="software" class="anchor" href="#software" aria-hidden="true"><span class="octicon octicon-link"></span></a>How to Run the course.</h3>
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We recommend using <a href="www.rstudio.com">RStudio</a> for the practicals

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