Showing 3 of total 3 results (show query)
zhanxw
seqminer:Efficiently Read Sequence Data (VCF Format, BCF Format, METAL Format and BGEN Format) into R
Integrate sequencing data (Variant call format, e.g. VCF or BCF) or meta-analysis results in R. This package can help you (1) read VCF/BCF/BGEN files by chromosomal ranges (e.g. 1:100-200); (2) read RareMETAL summary statistics files; (3) read tables from a tabix-indexed files; (4) annotate VCF/BCF files; (5) create customized workflow based on Makefile.
Maintained by Xiaowei Zhan. Last updated 6 months ago.
annotationbcfbgenmeta-analysisnext-generation-sequencingplinksequencingtabixvcfworkflowzlibbzip2libzstdsqlite3cpp
21.0 match 30 stars 8.29 score 111 scripts 6 dependents
privefl
bigsnpr:Analysis of Massive SNP Arrays
Easy-to-use, efficient, flexible and scalable tools for analyzing massive SNP arrays. Privé et al. (2018) <doi:10.1093/bioinformatics/bty185>.
Maintained by Florian Privé. Last updated 10 days ago.
big-databioinformaticsmemory-mapped-fileparallel-computingpolygenic-scorespopulation-structure-inferencesnp-datastatistical-methodsopenblaszlibcppopenmp
3.9 match 200 stars 11.44 score 1.5k scripts 3 dependents
cran
KnockoffScreen:Whole-Genome Sequencing Data Analysis via Knockoff Statistics
Functions for identification of putative causal loci in whole-genome sequencing data. The functions allow genome-wide association scan. It also includes an efficient knockoff generator for genetic data.
Maintained by Zihuai He. Last updated 3 years ago.
1.6 match 1 stars 1.00 score