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    <title>Bed on Chatomics</title>
    <link>https://divingintogeneticsandgenomics.com/tags/bed/</link>
    <description>Recent content in Bed on Chatomics</description>
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    <copyright>&amp;copy; 2018 Ming &#39;Tommy&#39; Tang</copyright>
    <lastBuildDate>Wed, 16 May 2018 13:16:00 -0700</lastBuildDate>
    
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      <title>get the peaks that shared in multiple samples</title>
      <link>https://divingintogeneticsandgenomics.com/archive/get-the-peaks-that-shared-in-multiple-samples/</link>
      <pubDate>Wed, 16 May 2018 13:16:00 -0700</pubDate>
      
      <guid>https://divingintogeneticsandgenomics.com/archive/get-the-peaks-that-shared-in-multiple-samples/</guid>
      <description>View this gist on GitHub</description>
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    <item>
      <title>read in all the files in a folder to R</title>
      <link>https://divingintogeneticsandgenomics.com/archive/read-in-all-the-files-in-a-folder-to-r/</link>
      <pubDate>Sun, 07 Feb 2016 20:14:00 -0800</pubDate>
      
      <guid>https://divingintogeneticsandgenomics.com/archive/read-in-all-the-files-in-a-folder-to-r/</guid>
      <description>Ming Tang February 7, 2016 read in all the files in a folder with a loop see a post
I downloaded some broadpeak data from UCSC and put them in a folder /Users/mtang1/projects/ENCODE_ChIPseq/data/
I cut only first four columns of those files and How can I read in all the bed files as GRanges?
# the base of the path cancer.base&amp;lt;- &amp;quot;/Users/mtang1/projects/ENCODE_ChIPseq/data&amp;quot; # list.files will print out all the files in the folder ending with broadPeak cancer.</description>
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    <item>
      <title>Using Awk to join two files based on several columns</title>
      <link>https://divingintogeneticsandgenomics.com/archive/using-awk-to-join-two-files-based-on-several-columns/</link>
      <pubDate>Thu, 14 May 2015 14:35:00 -0700</pubDate>
      
      <guid>https://divingintogeneticsandgenomics.com/archive/using-awk-to-join-two-files-based-on-several-columns/</guid>
      <description>I was reading a thread on stackoverflow and found that this post was very interesting. I will go through the problem and the awk solution. Again, Awk is awesome!
Note:
It looks a bit messy when I copied the ipython notebook directly into Blogger. Ideally, one can write the blog using ipython notebook directly, but it does not work well with Blogger. see here http://blog.fperez.org/2012/09/blogging-with-ipython-notebook.html
I do not want to use other blogging platforms for now.</description>
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    <item>
      <title>how to get a genome-wide motif bed file</title>
      <link>https://divingintogeneticsandgenomics.com/archive/how-to-get-a-genome-wide-motif-bed-file/</link>
      <pubDate>Thu, 13 Feb 2014 07:13:00 -0800</pubDate>
      
      <guid>https://divingintogeneticsandgenomics.com/archive/how-to-get-a-genome-wide-motif-bed-file/</guid>
      <description>Someone was asking this question on Seqanswers http://seqanswers.com/forums/showthread.php?t=40762&amp;amp;highlight=genome+motif+bed
For motif analysis, the most popular program is MEME http://meme.nbcr.net/meme/
There are a bunch of tools in the suites including some useful ones for ChIP-seq
I also saw RAST http://rsat01.biologie.ens.fr/rsa-tools/index.html and oPOSSUM were mentioned http://opossum.cisreg.ca/oPOSSUM3/
I analyze ChIP-seq data a lot. Usually, one gets a bed file containing the positions of the peaks. However, many motif analysis programs require fasta file as input.</description>
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