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

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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 Pocket Published Component Section
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
bio-eagle_2.4.1.orig.tar.gz 1.6 MiB 85804bfe972186ccb66e602856d6e04044302e5c0dbf9309849b0cde981e3432
bio-eagle_2.4.1-3build2.debian.tar.xz 8.6 KiB 768d6a9ed0052cec2400094a4b64a4a9a14ef8464c07244e85a4e1b05da7f03e
bio-eagle_2.4.1-3build2.dsc 2.2 KiB e8155b087209266a19d06aad3b9440d2c750c1933c9f63c416f68f56e40ca88b

Available diffs

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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.