Science Score: 23.0%
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 2 DOI reference(s) in README -
○Academic publication links
-
✓Committers with academic emails
2 of 4 committers (50.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: meganmichelle
- Language: R
- Default Branch: master
- Size: 2 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
RAREsim
The functions within the RAREsim R package are used to estimate the expected number of rare variants per minor allele count (MAC) bin via the Number of Variants and AFS functions. Users have the flexibility to estimate the number of variants with default parameters, user-defined parameters, or parameters estimated to match user-provided target data. The default parameters are provided for four ancestries and are expected to perform well for sample sizes up to 125,000.
The RAREsim R package is used to calculate the estimated number of variants per MAC bin. Throught the Number of Variants and AFS functions. The output of the RAREsim functions can be directly input into the pruning package for RAREsim, implemented within python: https://github.com/ryanlayer/raresim. The pruning process requires the expected number of variants per rare MAC bin and over-simulated haplotypes created from simulating from HAPGEN2 with information at all sequencing bases - including monomorphic bases. A complete example with all steps can be found on the Example page: https://github.com/meganmichelle/RAREsim_Example.
Installation
The RAREsim R package can be downloaded using devtools.
{r}
library(devtools)
install_github('meganmichelle/RAREsim')
RAREsim also requires HAPGEN2.
The pruning process is done with the RAREsim python package.
More Information
RAREsim is a flexible and accurate rare variant simulation algorithm that emulates real data. Using parameters and haplotypes derived from real sequencing data, RAREsim efficiently simulates the expected variant distribution and enables real variant annotations. See the full article here: https://doi.org/10.1016/j.ajhg.2022.02.009.
Owner
- Name: Megan Null
- Login: meganmichelle
- Kind: user
- Location: Boise, ID
- Company: The College of Idaho
- Repositories: 2
- Profile: https://github.com/meganmichelle
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Megan Sorenson | m****n@M****l | 55 |
| Megan Null | m****n@u****u | 16 |
| Ryan Barnard | r****7@g****m | 10 |
| Megan Null | m****l@c****u | 2 |
Committer Domains (Top 20 + Academic)
Packages
- Total packages: 1
-
Total downloads:
- bioconductor 5,397 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
bioconductor.org: RAREsim
Simulation of Rare Variant Genetic Data
- Homepage: https://github.com/meganmichelle/RAREsim
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/RAREsim/inst/doc/RAREsim.pdf
- License: GPL-3
-
Latest release: 1.12.0
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 4.1.0 depends
- nloptr * imports
- BiocStyle * suggests
- ggplot2 * suggests
- knitr * suggests
- markdown * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests