1 Summary: Model-based Analysis for ChIP-Seq
7 Group: Development/Languages/Python
8 # user and password are "publicly" visible on the web page (ROT13)
9 Source0: http://macs:chipseq@liulab.dfci.harvard.edu/MACS/src/%{name}-%{version}.tar.gz
10 # Source0-md5: 0b6490e37265d485e387b8323e810d3d
11 URL: http://liulab.dfci.harvard.edu/MACS/
12 BuildRequires: python-distribute
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20 Next generation parallel sequencing technologies made chromatin
21 immunoprecipitation followed by sequencing (ChIP-Seq) a popular
22 strategy to study genome-wide protein-DNA interactions, while
23 creating challenges for analysis algorithms. We present Model-based
24 Analysis of ChIP-Seq (MACS) on short reads sequencers such as Genome
25 Analyzer (Illumina / Solexa). MACS empirically models the length of
26 the sequenced ChIP fragments, which tends to be shorter than
27 sonication or library construction size estimates, and uses it
28 to improve the spatial resolution of predicted binding sites.
29 MACS also uses a dynamic Poisson distribution to effectively capture
30 local biases in the genome sequence, allowing for more sensitive and
31 robust prediction. MACS compares favorably to existing ChIP-Seq
32 peak-finding algorithms, is publicly available open source, and can be
33 used for ChIP-Seq with or without control samples.
35 #%description -l pl.UTF-8
40 # fix #!/usr/bin/env python -> #!/usr/bin/python:
41 %{__sed} -i -e '1s,^#!.*python,#!%{__python},' bin/* setup.py
47 rm -rf $RPM_BUILD_ROOT
50 %py_ocomp $RPM_BUILD_ROOT%{py_sitescriptdir}
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59 %doc ChangeLog NEW_IN_MACS14 README
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65 %if "%{py_ver}" > "2.4"
66 %{py_sitescriptdir}/MACS-*.egg-info