Jelmer Vernooij pushed to branch master at Debian Med / macs
Commits: 50c16d53 by Jelmer Vernooij at 2018-10-24T23:04:31Z Trim trailing whitespace. Fixed-Lintian-Tags: file-contains-trailing-whitespace Fixes lintian: file-contains-trailing-whitespace See https://lintian.debian.org/tags/file-contains-trailing-whitespace.html for more details. - - - - - 2 changed files: - debian/changelog - debian/control Changes: ===================================== debian/changelog ===================================== @@ -1,3 +1,9 @@ +macs (2.1.2.1-2) UNRELEASED; urgency=medium + + * Trim trailing whitespace. + + -- Jelmer Vernooij <[email protected]> Wed, 24 Oct 2018 23:04:31 +0000 + macs (2.1.2.1-1) unstable; urgency=medium [ Jelmer Vernooij ] @@ -103,7 +109,7 @@ macs (2.0.9.1-1ubuntu2) lucid; urgency=low * Package for PPA * Packaged from version 2.0.9-1 - * Changed debian/rules to override dh_auto_clean to remove *.c files + * Changed debian/rules to override dh_auto_clean to remove *.c files -- H. Soon Gweon (Key for package building) <[email protected]> Thu, 05 Jan 2012 13:10:02 +0000 ===================================== debian/control ===================================== @@ -22,11 +22,11 @@ Depends: ${python:Depends}, ${shlibs:Depends}, ${misc:Depends} Description: Model-based Analysis of ChIP-Seq on short reads sequencers - 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 + 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. View it on GitLab: https://salsa.debian.org/med-team/macs/commit/50c16d53bbbc440540784bd550a8f71b9b5e6746 -- View it on GitLab: https://salsa.debian.org/med-team/macs/commit/50c16d53bbbc440540784bd550a8f71b9b5e6746 You're receiving this email because of your account on salsa.debian.org.
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