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
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| 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
- diff from 2.3.4-1 to 2.3.5-1 (3.0 KiB)
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: No summary available for bio-eagle-dbgsym in ubuntu artful.
No description available for bio-eagle-dbgsym in ubuntu artful.
- 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.
