Package: CHAPGWAS 0.1.3
CHAPGWAS: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve Genome-Wide Association Studies
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.
Authors:
CHAPGWAS_0.1.3.tar.gz
CHAPGWAS_0.1.3.zip(r-4.7)CHAPGWAS_0.1.3.zip(r-4.6)CHAPGWAS_0.1.3.zip(r-4.5)
CHAPGWAS_0.1.3.tgz(r-4.6-any)CHAPGWAS_0.1.3.tgz(r-4.5-any)
CHAPGWAS_0.1.3.tar.gz(r-4.7-any)CHAPGWAS_0.1.3.tar.gz(r-4.6-any)
CHAPGWAS_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CHAPGWAS/json (API)
| # Install 'CHAPGWAS' in R: |
| install.packages('CHAPGWAS', repos = c('https://hmu5050.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e1c8a29b38. Checks:9 OK. Indexed: yes.
