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Bug#800828: marked as done (ITP: macs2 -- Model Based Analysis for ChIP-Seq data)

Your message dated Mon, 25 Apr 2016 10:50:16 +0200
with message-id <CAD=WrcK5mov7JCM3RLWc=-zvMf1Xc8FOcjf9dvDZOiiDf+u3vw@mail.gmail.com>
and subject line 
has caused the Debian Bug report #800828,
regarding ITP: macs2 -- Model Based Analysis for ChIP-Seq data
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
800828: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=800828
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Owner: "Debian Med Team" <debian-med@lists.debian.org>
Severity: wishlist
X-Debbugs-CC:  debian-med@lists.debian.org

* Package name    : macs2
  Version         : 2.1.0.20150731
  Upstream Author : Tao Liu <vladimir.liu@gmail.com>
* URL             : http://github.com/taoliu/MACS/
* License         : BSD-3-clause, Expat
  Programming Lang: Python, C
  Description     : Model Based Analysis for ChIP-Seq data
With the improvement of sequencing techniques, chromatin immunoprecipitation followed by high throughput sequencing (ChIP-Seq) is getting popular to study genome-wide protein-DNA interactions. To address the lack of powerful ChIP-Seq analysis method, here is a novel algorithm, named Model-based Analysis of ChIP-Seq (MACS), for identifying transcript factor binding sites. MACS captures the influence of genome complexity to evaluate the significance of enriched ChIP regions, and MACS improves the spatial resolution of binding sites through combining the information of both sequencing tag position and orientation. MACS can be easily used for ChIP-Seq data alone, or with control sample with the increase of specificity.

This package will be maintained as part of the Debian Med packaging team.

--- End Message ---
--- Begin Message ---
macs2 is already packages

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Community Engineer                 Common Workflow Language project
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