fourSig: a method for determining chromosomal interactions in 4C-Seq data

نویسندگان

  • Rex L. Williams
  • Joshua Starmer
  • Joshua W. Mugford
  • J. Mauro Calabrese
  • Piotr Mieczkowski
  • Della Yee
  • Terry Magnuson
چکیده

The ability to correlate chromosome conformation and gene expression gives a great deal of information regarding the strategies used by a cell to properly regulate gene activity. 4C-Seq is a relatively new and increasingly popular technology where the set of genomic interactions generated by a single point in the genome can be determined. 4C-Seq experiments generate large, complicated data sets and it is imperative that signal is properly distinguished from noise. Currently, there are a limited number of methods for analyzing 4C-Seq data. Here, we present a new method, fourSig, which in addition to being precise and simple to use also includes a new feature that prioritizes detected interactions. Our results demonstrate the efficacy of fourSig with previously published and novel 4C-Seq data sets and show that our significance prioritization correlates with the ability to reproducibly detect interactions among replicates.

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عنوان ژورنال:

دوره 42  شماره 

صفحات  -

تاریخ انتشار 2014