https://github.com/chr1swallace/guessfm

R package for fine mapping genetic associations in imputed GWAS data.

https://github.com/chr1swallace/guessfm

Science Score: 33.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: plos.org
  • Committers with academic emails
    4 of 4 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

R package for fine mapping genetic associations in imputed GWAS data.

Basic Info
  • Host: GitHub
  • Owner: chr1swallace
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 7.82 MB
Statistics
  • Stars: 5
  • Watchers: 4
  • Forks: 7
  • Open Issues: 12
  • Releases: 0
Created over 12 years ago · Last pushed almost 4 years ago
Metadata Files
Readme

README.md

GUESSFM

R package for fine mapping genetic associations in imputed GWAS data, detailed in

Wallace et al. (2015) Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping. PLoS Genet 11(6): e1005272. doi: 10.1371/journal.pgen.1005272

which is available (open access) at http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1005272

Installation

Short version

R install.packages("devtools") # if you don't already have the package library(devtools) install_github("chr1swallace/GUESSFM")

Longer version (if this fails)

GUESSFM is purely an R package and so is platform independent. It depends on the software GUESS, which is available at http://www.bgx.org.uk/software/guess.html, but can be more easily installed via the R package R2GUESS, which is a dependency of GUESSFM. <!-- and should be installed according to the instructions there. --> GUESS is described in the paper http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003657

To install, you may first need some R package dependencies, the packages VGAM, reshape, ggplot2, grid, ggbio, snpStats, parallel, R2GUESS. E.g., if you don't have ggpplot, from inside R, do

R install.packages("ggplot")

and repeat for each package you don't have. NB, R2GUESS contains some library dependencies that required me to do (on Ubuntu):

sh sudo apt-get install libgsl0-dev sudo apt-get install libglu1-mesa-dev

Some packages (e.g. ggbio, snpStats) are from Bioconductor. For these, you need to do

```R

try http:// if https:// URLs are not supported

source("https://bioconductor.org/biocLite.R") biocLite("ggbio") biocLite("snpStats") ```

Then, to install GUESSFM direct from github, do

R install.packages("devtools") # if you don't already have the package library(devtools) install_github("chr1swallace/GUESSFM")

If you want the vignettes to build as well, this should work, but doesn't (even though they build locally): R install_github("chr1swallace/GUESSFM", build_vignettes=TRUE)

Instead, see the vignettes direct from github:

Introduction | Tags/groups | Plotting

Documentation

To load the GUESSFM library and see the vignette, do

R library(GUESSFM) vignette(package="GUESSFM")

Issues

If you run into any problems, please do raise an issue on the github by clicking "Issues" on the top right of this page, and then the green "New Issue" button. Raising issues is better than email, because I will have a reminder of what I need to fix every time I see the page, and your issue may help others. If you still prefer, you could email me at cew54 at cam.ac.uk.

Owner

  • Name: Chris Wallace
  • Login: chr1swallace
  • Kind: user
  • Location: Cambridge, UK
  • Company: University of Cambridge

Statisitician using genomics to understand immune-mediated diseases. Github hosts mainly R packages to do statistical analysis of genetic data.

GitHub Events

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Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 119
  • Total Committers: 4
  • Avg Commits per committer: 29.75
  • Development Distribution Score (DDS): 0.487
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
chr1swallace c****e@c****k 61
Chris Wallace c****4@c****k 54
Chris Wallace c****w@s****k 2
Jamie Inshaw j****w@c****k 2
Committer Domains (Top 20 + Academic)

Dependencies

DESCRIPTION cran
  • R >= 3.0.2 depends
  • Matrix * imports
  • R2GUESS * imports
  • VGAM * imports
  • cowplot * imports
  • data.table * imports
  • ggplot2 * imports
  • grDevices * imports
  • grid * imports
  • methods * imports
  • parallel * imports
  • reshape * imports
  • snpStats * imports
  • speedglm * imports
  • stats * imports
  • utils * imports
  • knitr * suggests
  • testthat * suggests