bio-eagle 2.3.5-1 source package in Ubuntu

Changelog

bio-eagle (2.3.5-1) unstable; urgency=medium

  * New upstream release.
  * Correct OMICtools ref.
  * cme fix dpkg-control.

 -- Dylan Aïssi <email address hidden>  Wed, 16 Aug 2017 22:50:28 +0200

Upload details

Uploaded by:
Debian Med on 2017-08-17
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Artful release on 2017-08-17 universe misc

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File Size SHA-256 Checksum
bio-eagle_2.3.5-1.dsc 2.1 KiB d608b6ef6ecf4932ef4deec3eef2a0e73f1103d1000582613913c29d40446071
bio-eagle_2.3.5.orig.tar.gz 1.6 MiB 95c1883f321eda4af09b11e916683e2c40d647609479d550557a6194a7a8f017
bio-eagle_2.3.5-1.debian.tar.xz 6.6 KiB c90e85530458b737ae5b4de62650ae9838f4797af35deae9add742ba413c92b6

Available diffs

No changes file available.

Binary packages built by this source

bio-eagle: Haplotype phasing within a genotyped cohort or using a phased reference panel

 Eagle estimates haplotype phase either within a genotyped cohort or using a
 phased reference panel. The basic idea of the Eagle1 algorithm is to harness
 identity-by-descent among distant relatives—which is pervasive at very large
 sample sizes but rare among smaller numbers of samples—to rapidly call phase
 using a fast scoring approach. In contrast, the Eagle2 algorithm analyzes a
 full probabilistic model similar to the diploid Li-Stephens model used by
 previous HMM-based methods.
 .
 Please note: The executable was renamed to bio-eagle because of a name clash.
 Please read more about this in /usr/share/doc/bio-eagle/README.Debian.

bio-eagle-dbgsym: Debug symbols for bio-eagle
bio-eagle-examples: Examples for bio-eagle

 Eagle estimates haplotype phase either within a genotyped cohort or using a
 phased reference panel. The basic idea of the Eagle1 algorithm is to harness
 identity-by-descent among distant relatives—which is pervasive at very large
 sample sizes but rare among smaller numbers of samples—to rapidly call phase
 using a fast scoring approach. In contrast, the Eagle2 algorithm analyzes a
 full probabilistic model similar to the diploid Li-Stephens model used by
 previous HMM-based methods.
 .
 This package provides some example data for eagle.