GENESIS

GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

https://github.com/uw-gac/genesis

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    10 of 22 committers (45.5%) from academic institutions
  • Institutional organization owner
    Organization uw-gac has institutional domain (www.biostat.washington.edu)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary

Keywords from Contributors

bioconductor-package genomics gene transcriptomics bioinformatics proteomics core-package bioconductor visualisation metabolomics
Last synced: 6 months ago · JSON representation

Repository

GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

Basic Info
Statistics
  • Stars: 38
  • Watchers: 8
  • Forks: 13
  • Open Issues: 16
  • Releases: 0
Created over 8 years ago · Last pushed 7 months ago
Metadata Files
Readme

README.md

GENESIS

GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

The GENESIS package provides methodology for estimating, inferring, and accounting for population and pedigree structure in genetic analyses. The current implementation provides functions to perform PC-AiR (Conomos et al., 2015, Gen Epi) and PC-Relate (Conomos et al., 2016, AJHG). PC-AiR performs a Principal Components Analysis on genome-wide SNP data for the detection of population structure in a sample that may contain known or cryptic relatedness. Unlike standard PCA, PC-AiR accounts for relatedness in the sample to provide accurate ancestry inference that is not confounded by family structure. PC-Relate uses ancestry representative principal components to adjust for population structure/ancestry and accurately estimate measures of recent genetic relatedness such as kinship coefficients, IBD sharing probabilities, and inbreeding coefficients. Additionally, functions are provided to perform efficient variance component estimation and mixed model association testing for both quantitative and binary phenotypes.

Bioconductor

Release version

http://www.bioconductor.org/packages/release/bioc/html/GENESIS.html

Development version

http://www.bioconductor.org/packages/devel/bioc/html/GENESIS.html

Citation

Gogarten, S.M., Sofer, T., Chen, H., Yu, C., Brody, J.A., Thornton, T.A., Rice, K.M., and Conomos, M.P. (2019). Genetic association testing using the GENESIS R/Bioconductor package. Bioinformatics. doi:10.1093/bioinformatics/btz567.

Installation

R if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("GENESIS")

Owner

  • Name: GAC
  • Login: UW-GAC
  • Kind: organization
  • Location: Seattle, WA

UW Genetic Analysis Center

GitHub Events

Total
  • Issues event: 10
  • Watch event: 4
  • Delete event: 3
  • Issue comment event: 11
  • Push event: 8
  • Pull request event: 7
  • Fork event: 1
  • Create event: 2
Last Year
  • Issues event: 10
  • Watch event: 4
  • Delete event: 3
  • Issue comment event: 11
  • Push event: 8
  • Pull request event: 7
  • Fork event: 1
  • Create event: 2

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 791
  • Total Committers: 22
  • Avg Commits per committer: 35.955
  • Development Distribution Score (DDS): 0.542
Past Year
  • Commits: 14
  • Committers: 5
  • Avg Commits per committer: 2.8
  • Development Distribution Score (DDS): 0.429
Top Committers
Name Email Commits
Stephanie M. Gogarten s****s@u****u 362
Matt m****s@u****u 148
Adrienne Stilp a****p@u****u 135
Matt m****t@M****l 31
smgogarten s****n@v****a 30
Stephanie Gogarten s****s@u****u 17
Nitesh Turaga n****a@g****m 14
Matthew Conomos m****s@D****u 14
J Wokaty j****y@s****u 10
Dan Tenenbaum d****a@f****g 8
Herve Pages h****s@f****g 5
vobencha v****a@g****m 2
Tamar Sofer t****i 2
Seth Stadick s****k@g****m 2
Hervé Pagès h****s@f****g 2
A Wokaty a****y@s****u 2
vobencha v****n@r****g 2
Sonali Arora s****a@f****g 1
mconomos m****s@m****l 1
Qiong Yang q****g@s****u 1
Qiong Yang q****g@s****u 1
Matthew Conomos m****s@D****u 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 60
  • Total pull requests: 58
  • Average time to close issues: 2 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 43
  • Total pull request authors: 9
  • Average comments per issue: 2.62
  • Average comments per pull request: 1.09
  • Merged pull requests: 54
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 8
  • Pull requests: 8
  • Average time to close issues: 14 days
  • Average time to close pull requests: 12 days
  • Issue authors: 6
  • Pull request authors: 2
  • Average comments per issue: 2.13
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • sstadick (4)
  • amstilp (4)
  • AmandaHWChong (3)
  • jonaszierer (3)
  • pierreyou (2)
  • smgogarten (2)
  • yangli-ai (2)
  • AAvalos82 (2)
  • dleopold (2)
  • yu-zhang-oYo (2)
  • kaskarn (1)
  • BEFH (1)
  • candicecjj (1)
  • MARCPUCV (1)
  • byoo (1)
Pull Request Authors
  • smgogarten (25)
  • mconomos (13)
  • amstilp (10)
  • terrytianyuzhang (5)
  • qyang10 (2)
  • mchughc (1)
  • sstadick (1)
  • jiwonslee (1)
  • tamartsi (1)
Top Labels
Issue Labels
bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 69,388 total
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
bioconductor.org: GENESIS

GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

  • Versions: 5
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 69,388 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 5.2%
Downloads: 15.6%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • Biobase * imports
  • BiocGenerics * imports
  • BiocParallel * imports
  • GWASTools * imports
  • GenomicRanges * imports
  • IRanges * imports
  • Matrix * imports
  • S4Vectors * imports
  • SNPRelate * imports
  • SeqArray * imports
  • SeqVarTools * imports
  • data.table * imports
  • gdsfmt * imports
  • grDevices * imports
  • graphics * imports
  • igraph * imports
  • methods * imports
  • reshape2 * imports
  • stats * imports
  • utils * imports
  • BiocStyle * suggests
  • COMPoissonReg * suggests
  • CompQuadForm * suggests
  • GGally * suggests
  • GWASdata * suggests
  • RColorBrewer * suggests
  • SPAtest * suggests
  • TxDb.Hsapiens.UCSC.hg19.knownGene * suggests
  • dplyr * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • poibin * suggests
  • rmarkdown * suggests
  • survey * suggests
  • testthat * suggests