fastqtl 2.184+dfsg-8build1 source package in Ubuntu

Changelog

fastqtl (2.184+dfsg-8build1) jammy; urgency=medium

  * No-change rebuild against libgsl27

 -- Steve Langasek <email address hidden>  Tue, 07 Dec 2021 17:29:47 +0000

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Uploaded by:
Steve Langasek
Uploaded to:
Jammy
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Jammy release universe misc

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File Size SHA-256 Checksum
fastqtl_2.184+dfsg.orig.tar.xz 16.3 MiB 5f40bf8d9dbce2cd738080ebe28bf2b3892b75c9a8446e5e1d8c293d4b382b65
fastqtl_2.184+dfsg-8build1.debian.tar.xz 19.4 KiB faaade5a18960099c2eb8bba844d08e0a10db0f0b843d949dbd3e49c7a80c936
fastqtl_2.184+dfsg-8build1.dsc 2.2 KiB 44a14d22d896292b3c47216194bc68f48df0e4fd1b759b0aeffda40134275ca9

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Binary packages built by this source

fastqtl: Quantitative Trait Loci (QTL) mapper in cis for molecular phenotypes

 The goal of FastQTL is to identify single-nucleotide polymorphisms (SNPs)
 which are significantly associated with various molecular phenotypes
 (i.e. expression of known genes, cytosine methylation levels, etc).
 It performs scans for all possible phenotype-variant pairs in cis
 (i.e. variants located within a specific window around a phenotype).
 FastQTL implements a new permutation scheme (Beta approximation) to accurately
 and rapidly correct for multiple-testing at both the genotype and phenotype
 levels.

fastqtl-dbgsym: No summary available for fastqtl-dbgsym in ubuntu kinetic.

No description available for fastqtl-dbgsym in ubuntu kinetic.

fastqtl-doc: QTL mapper in cis for molecular phenotypes - documentation

 The goal of FastQTL is to identify single-nucleotide polymorphisms (SNPs)
 which are significantly associated with various molecular phenotypes
 (i.e. expression of known genes, cytosine methylation levels, etc).
 It performs scans for all possible phenotype-variant pairs in cis
 (i.e. variants located within a specific window around a phenotype).
 FastQTL implements a new permutation scheme (Beta approximation) to accurately
 and rapidly correct for multiple-testing at both the genotype and phenotype
 levels.
 .
 This package provides documentation and example data to work with FastQTL.