Грана:
user/anddt/development/glm
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
user/anddt/development/gnustep-make
user/anddt/games/assaultcube-reloaded
user/anddt/games/doomseeker
user/anddt/games/prboom-plus
user/anddt/games/rocksndiamonds
user/anddt/games/rottexpr
user/anddt/games/srb2
user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
user/anddt/ham/hamlib
user/anddt/libraries/girara
user/anddt/libraries/goffice
user/anddt/libraries/gtksourceview4
user/anddt/libraries/imlib2
user/anddt/libraries/jsoncpp
user/anddt/libraries/libnova
user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
user/anddt/libraries/wxGTK3
user/anddt/libraries/xmlrpc-c
user/anddt/misc/discount
user/anddt/misc/slop
user/anddt/network/nethogs
user/anddt/network/putty
user/anddt/network/rclone
user/anddt/network/rtorrent
user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
user/belka/updates
user/chris.willing/updates
user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
user/pprkut/updates
willysr
wxWidgets-wip
GPG-KEY
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Matteo Bernardini
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README
MACS: Model-based Analysis of ChIP-Seq
Next generation parallel sequencing technologies made chromatin
immunoprecipitation followed by sequencing (ChIP-Seq) a popular
strategy to study genome-wide protein-DNA interactions, while creating
challenges for analysis algorithms. We present Model-based Analysis of
ChIP-Seq (MACS) on short reads sequencers such as Genome Analyzer
(Illumina / Solexa). MACS empirically models the length of the
sequenced ChIP fragments, which tends to be shorter than sonication or
library construction size estimates, and uses it to improve the
spatial resolution of predicted binding sites. MACS also uses a
dynamic Poisson distribution to effectively capture local biases in
the genome sequence, allowing for more sensitive and robust
prediction. MACS compares favorably to existing ChIP-Seq peak-finding
algorithms, is publicly available open source, and can be used for
ChIP-Seq with or without control samples.
Next generation parallel sequencing technologies made chromatin
immunoprecipitation followed by sequencing (ChIP-Seq) a popular
strategy to study genome-wide protein-DNA interactions, while creating
challenges for analysis algorithms. We present Model-based Analysis of
ChIP-Seq (MACS) on short reads sequencers such as Genome Analyzer
(Illumina / Solexa). MACS empirically models the length of the
sequenced ChIP fragments, which tends to be shorter than sonication or
library construction size estimates, and uses it to improve the
spatial resolution of predicted binding sites. MACS also uses a
dynamic Poisson distribution to effectively capture local biases in
the genome sequence, allowing for more sensitive and robust
prediction. MACS compares favorably to existing ChIP-Seq peak-finding
algorithms, is publicly available open source, and can be used for
ChIP-Seq with or without control samples.