bio-eagle 2.3.5-1build1 source package in Ubuntu
Changelog
bio-eagle (2.3.5-1build1) bionic; urgency=medium * No-change rebuild for boost soname change. -- Matthias Klose <email address hidden> Thu, 26 Oct 2017 17:09:57 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Bionic
- Original maintainer:
- Debian Med
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bio-eagle_2.3.5.orig.tar.gz | 1.6 MiB | 95c1883f321eda4af09b11e916683e2c40d647609479d550557a6194a7a8f017 |
bio-eagle_2.3.5-1build1.debian.tar.xz | 6.7 KiB | 38b4d3d05b48364a53e2f9be1b31e62733a0e059c749ad6297474e6534ecd64a |
bio-eagle_2.3.5-1build1.dsc | 2.1 KiB | 33ef98dc9f7c1fe5c1da233d027c3c5a135e8e18da5146fb84be1380f9c3bc2f |
Available diffs
- diff from 2.3.5-1 (in Debian) to 2.3.5-1build1 (309 bytes)
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.