August 4, 2017 Dataset Open Access

Alasoo, Kaur

DCAT Export

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        <foaf:name>Alasoo, Kaur</foaf:name>
        <foaf:givenName>Kaur</foaf:givenName>
        <foaf:familyName>Alasoo</foaf:familyName>
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            <foaf:name>Wellcome Trust Sanger Institute</foaf:name>
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    <dct:title>Differential gene expression in iPSC-derived macrophages after IFNg stimulation and Salmonella infection</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2017</dct:issued>
    <dcat:keyword>RNA-seq</dcat:keyword>
    <dcat:keyword>differential expression</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2017-08-04</dct:issued>
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    <dct:description>&lt;p&gt;We used likelihood ratio test implemented in DESeq2 v1.10.0 (test = “LRT”) to test if a model that allowed different mean expression in each condition explained the data better than a null model assuming the same mean expression across conditions. See the manuscript for more details: http://www.biorxiv.org/content/early/2017/05/18/102392 .&lt;/p&gt; &lt;p&gt;We used the following commands in DESeq2:&lt;br&gt; #Run DESeq2&lt;br&gt; dds = DESeq2::DESeqDataSetFromMatrix(combined_expression_data_filtered$counts, design, ~condition_name) &lt;br&gt; dds = DESeq2::DESeq(dds, test = "LRT", reduced = ~ 1)&lt;/p&gt; &lt;p&gt;#Extract differentially expressed genes in each condition&lt;br&gt; ifng_genes = results(dds, contrast=c("condition_name","IFNg","naive")) &lt;br&gt; sl1344_genes = results(dds, contrast=c("condition_name","SL1344","naive")) &lt;br&gt; ifng_sl1344_genes = results(dds, contrast=c("condition_name","IFNg_SL1344","naive"))&lt;/p&gt;</dct:description>
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