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.