git: 0e30cf43051d - main - biology/gemma: Update to 0.98.5
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Date: Fri, 06 Dec 2024 14:39:24 UTC
The branch main has been updated by jwb: URL: https://cgit.FreeBSD.org/ports/commit/?id=0e30cf43051d7834c2725311dd0724f088d9c8ea commit 0e30cf43051d7834c2725311dd0724f088d9c8ea Author: Jason W. Bacon <jwb@FreeBSD.org> AuthorDate: 2024-12-06 14:36:36 +0000 Commit: Jason W. Bacon <jwb@FreeBSD.org> CommitDate: 2024-12-06 14:36:36 +0000 biology/gemma: Update to 0.98.5 Several bug fixes and enhancements since 0.98.3 Changes: https://github.com/genetics-statistics/GEMMA/releases PR: 283036 Reported by: alster@vinterdalen.se --- biology/gemma/Makefile | 7 ++++--- biology/gemma/distinfo | 6 +++--- biology/gemma/pkg-descr | 20 ++++++++++++++++++++ 3 files changed, 27 insertions(+), 6 deletions(-) diff --git a/biology/gemma/Makefile b/biology/gemma/Makefile index 855f3a86b669..6e1c6ef9c2b4 100644 --- a/biology/gemma/Makefile +++ b/biology/gemma/Makefile @@ -1,11 +1,12 @@ PORTNAME= gemma -DISTVERSION= 0.98.3 -PORTREVISION= 5 +DISTVERSIONPREFIX= v +DISTVERSION= 0.98.5 CATEGORIES= biology MAINTAINER= jwb@FreeBSD.org COMMENT= Genome-wide Efficient Mixed Model Association -WWW= https://github.com/genetics-statistics/GEMMA +WWW= https://xiangzhou.github.io/software/ \ + https://github.com/genetics-statistics/GEMMA/ LICENSE= GPLv3 LICENSE_FILE= ${WRKSRC}/LICENSE diff --git a/biology/gemma/distinfo b/biology/gemma/distinfo index dde8eb92ac25..fd7346b8e723 100644 --- a/biology/gemma/distinfo +++ b/biology/gemma/distinfo @@ -1,3 +1,3 @@ -TIMESTAMP = 1609514940 -SHA256 (genetics-statistics-GEMMA-0.98.3_GH0.tar.gz) = 8c27874634269f52a194a41048e70c17e2128563f56bb8ef59338a93147c61ba -SIZE (genetics-statistics-GEMMA-0.98.3_GH0.tar.gz) = 49572695 +TIMESTAMP = 1732864105 +SHA256 (genetics-statistics-GEMMA-v0.98.5_GH0.tar.gz) = 3ed336deee29e370f96ec8f1a240f7b62550e57dcd1694245ce7ec8f42241677 +SIZE (genetics-statistics-GEMMA-v0.98.5_GH0.tar.gz) = 51259250 diff --git a/biology/gemma/pkg-descr b/biology/gemma/pkg-descr index 9db7086ea489..c4c81c9fa6f6 100644 --- a/biology/gemma/pkg-descr +++ b/biology/gemma/pkg-descr @@ -1,3 +1,23 @@ GEMMA is a software toolkit for fast application of linear mixed models (LMMs) and related models to genome-wide association studies (GWAS) and other large-scale data sets. + +Key features: + +1. Fast assocation tests implemented using the univariate linear mixed model + (LMM). In GWAS, this can correct for population structure and sample + non-exchangeability. It also provides estimates of the proportion of + variance in phenotypes explained by available genotypes (PVE), often called + "chip heritability" or "SNP heritability". +2. Fast association tests for multiple phenotypes implemented using a + multivariate linear mixed model (mvLMM). In GWAS, this can correct for + population structure and sample (non)exchangeability - jointly in multiple + complex phenotypes. +3. Bayesian sparse linear mixed model (BSLMM) for estimating PVE, phenotype + prediction, and multi-marker modeling in GWAS. +4. Estimation of variance components ("chip/SNP heritability") partitioned by + different SNP functional categories from raw (individual-level) data or + summary data. For raw data, HE regression or the REML AI algorithm can be + used to estimate variance components when individual-level data are + available. For summary data, GEMMA uses the MQS algorithm to estimate + variance components.