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    <title>Sambamba on Chatomics</title>
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    <copyright>&amp;copy; 2018 Ming &#39;Tommy&#39; Tang</copyright>
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      <title>Downsampling bam files to a certain number of reads</title>
      <link>https://divingintogeneticsandgenomics.com/archive/downsampling-bam-files-to-a-certain-number-of-reads/</link>
      <pubDate>Thu, 05 May 2016 10:41:00 -0700</pubDate>
      
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      <description>When compare different ChIP-seq data sets or analyze a set of ChIP-seq data sets together (e.g. ChromHMM analysis), it is desirable to subsample the deeply sequenced ones to a certain number of reads (say 15million or 30 million).
In paper Integrative analysis of 111 reference human epigenomes:
 To avoid artificial differences in signal strength due to differences in sequencing depth, all consolidated histone mark data sets (except the additional histone marks the seven deeply profiled epigenomes, Fig.</description>
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