Ubuntu
bio-eagle package

bio-eagle 2.4.1-1build1 source package in Ubuntu

Changelog

bio-eagle (2.4.1-1build1) focal; urgency=medium

  * No-change upload for htslib soname change.

 -- Matthias Klose <email address hidden>  Fri, 31 Jan 2020 22:53:34 +0100

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Med
Architectures:
any-amd64 any-i386 all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
bio-eagle_2.4.1.orig.tar.gz 1.6 MiB 85804bfe972186ccb66e602856d6e04044302e5c0dbf9309849b0cde981e3432
bio-eagle_2.4.1-1build1.debian.tar.xz 7.7 KiB ca562ced93dd6762c8ccfe55182555f2885bf37ef06c1c95525e7adc3be0ccf0
bio-eagle_2.4.1-1build1.dsc 2.2 KiB 0888c5efc3ed94afd691d6e8e3bd7e6496e058e0399be4d086d4369b45d9a0db

View changes file

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.