<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>hmu5050.r-universe.dev</title><link>https://hmu5050.r-universe.dev</link><description>Recent package updates in hmu5050</description><generator>R-universe</generator><image><url>https://github.com/hmu5050.png</url><title>R packages by hmu5050</title><link>https://hmu5050.r-universe.dev</link></image><lastBuildDate>Thu, 08 Jan 2026 04:10:02 GMT</lastBuildDate><item><title>[hmu5050] CHAPGWAS 0.1.3</title><author>shibow@ucr.edu (Shibo Wang)</author><description>CHAP-GWAS (Chromosomal Haplotype-Integrated Genome-Wide
Association Study) provides a dynamically adaptive framework
for genome-wide association studies (GWAS) that integrates
chromosome-scale haplotypes with single nucleotide polymorphism
(SNP) analysis. The method identifies and extends haplotype
variants based on their phenotypic associations rather than
predefined linkage blocks, enabling high-resolution detection
of quantitative trait loci (QTL). By leveraging long-range
phased haplotype information, CHAP-GWAS improves statistical
power and offers a more comprehensive view of the genetic
architecture underlying complex traits.</description><link>https://github.com/r-universe/hmu5050/actions/runs/27085825606</link><pubDate>Thu, 08 Jan 2026 04:10:02 GMT</pubDate><r:package>CHAPGWAS</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://hmu5050.r-universe.dev</r:repository><r:upstream>https://github.com/cran/CHAPGWAS</r:upstream></item></channel></rss>