fastqtl 2.184+v7+dfsg-4build1 source package in Ubuntu
Changelog
fastqtl (2.184+v7+dfsg-4build1) noble; urgency=medium * No-change rebuild for boost defaults change. -- Matthias Klose <email address hidden> Tue, 19 Dec 2023 15:49:04 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Noble
- Original maintainer:
- Debian Med
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
fastqtl_2.184+v7+dfsg.orig.tar.xz | 16.3 MiB | a16310e5cc00873707decb7dad8acd9d5ae22bf4ade1fdbba3a99afc650a6232 |
fastqtl_2.184+v7+dfsg-4build1.debian.tar.xz | 20.5 KiB | 4ce4190fc713f23d45116065e128ae64ac33b7585be708ae688c350dc1391800 |
fastqtl_2.184+v7+dfsg-4build1.dsc | 2.2 KiB | 4975849ce1b32dd8332d3f44069dd9d769fa82ab8e8909e23897803a5f23a7fd |
Available diffs
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: debug symbols for fastqtl
- 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.