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    <title>Homer on Chatomics</title>
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    <description>Recent content in Homer on Chatomics</description>
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    <copyright>&amp;copy; 2018 Ming &#39;Tommy&#39; Tang</copyright>
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      <title>My first play with GRO-seq data, from sam to bedgraph for visualization</title>
      <link>https://divingintogeneticsandgenomics.com/archive/my-first-play-with-gro-seq-data-from-sam-to-bedgraph-for-visualization/</link>
      <pubDate>Wed, 30 Oct 2013 18:35:00 -0700</pubDate>
      
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      <description>GRO-seq (Global run on sequencing) is a technique to capture nascent RNAs in a global manner. Different from RNA-seq which sequences the matured mRNA to infer gene expression level, GRO-seq sequences the newly generated short RNAs to infer RNApol2 binding or the production of enhancer RNAs.
It was first carried out by John T.Lis at Cornell University. See their science paper in 2008:
Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promoters</description>
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      <title>A very good introduction of NGS analysis in the HOMER page</title>
      <link>https://divingintogeneticsandgenomics.com/archive/a-very-good-introduction-of-ngs-analysis-in-the-homer-page/</link>
      <pubDate>Sat, 01 Jun 2013 16:48:00 -0700</pubDate>
      
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      <description>See the link here:
http://biowhat.ucsd.edu/homer/basicTutorial/index.html
Setting up your computing environment Next-generation sequencing analysis is a compute intensive process. Your average laptop is probably not up to the challenge. Most software is geared toward UNIX style operating systems, with large servers in mind. Typically, analysis algorithms will be distributed by researchers in one of three ways:
 Stand alone program to run in a UNIX environment (most common) Webserver where you upload data to be analyzed (i.</description>
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