bio-eagle 2.4.1-3build2 source package in Ubuntu
Changelog
bio-eagle (2.4.1-3build2) noble; urgency=medium * No-change rebuild for boost defaults change. -- Matthias Klose <email address hidden> Tue, 19 Dec 2023 15:46:30 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Noble
- Original maintainer:
- Debian Med
- Architectures:
- any-amd64 any-i386 all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
bio-eagle_2.4.1.orig.tar.gz | 1.6 MiB | 85804bfe972186ccb66e602856d6e04044302e5c0dbf9309849b0cde981e3432 |
bio-eagle_2.4.1-3build2.debian.tar.xz | 8.6 KiB | 768d6a9ed0052cec2400094a4b64a4a9a14ef8464c07244e85a4e1b05da7f03e |
bio-eagle_2.4.1-3build2.dsc | 2.2 KiB | e8155b087209266a19d06aad3b9440d2c750c1933c9f63c416f68f56e40ca88b |
Available diffs
- diff from 2.4.1-3build1 to 2.4.1-3build2 (308 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.