bio-eagle 2.4.1-1build2 source package in Ubuntu
Changelog
bio-eagle (2.4.1-1build2) focal; urgency=medium * No change rebuild against new boost1.71 ABI -- Dimitri John Ledkov <email address hidden> Mon, 03 Feb 2020 19:57:23 +0000
Upload details
- Uploaded by:
- Dimitri John Ledkov
- Uploaded to:
- Focal
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any-amd64 any-i386 all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Focal | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| bio-eagle_2.4.1.orig.tar.gz | 1.6 MiB | 85804bfe972186ccb66e602856d6e04044302e5c0dbf9309849b0cde981e3432 |
| bio-eagle_2.4.1-1build2.debian.tar.xz | 7.8 KiB | ca4836b0f9219cae8822f47371490719659a349f3b25121790b7549355d15376 |
| bio-eagle_2.4.1-1build2.dsc | 2.2 KiB | 7c70b7612cc485e58aadbf15f306d01188ca9323c5adb9a0d3b4d16252f7fde3 |
Available diffs
- diff from 2.4.1-1 (in Debian) to 2.4.1-1build2 (578 bytes)
- diff from 2.4.1-1build1 to 2.4.1-1build2 (532 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: No summary available for bio-eagle-dbgsym in ubuntu groovy.
No description available for bio-eagle-dbgsym in ubuntu groovy.
- 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.
