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https://github.com/mrc-ide/mipanalyzer
Filtering and analysis of MIP data
https://github.com/mrc-ide/mipanalyzer
Last synced: about 2 months ago
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Filtering and analysis of MIP data
- Host: GitHub
- URL: https://github.com/mrc-ide/mipanalyzer
- Owner: mrc-ide
- License: mit
- Created: 2018-12-05T16:31:08.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-12-12T13:45:23.000Z (about 1 year ago)
- Last Synced: 2023-12-13T07:02:56.750Z (about 1 year ago)
- Language: R
- Homepage: https://mrc-ide.github.io/MIPanalyzer/
- Size: 7.6 MB
- Stars: 2
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```[![develop checks](https://github.com/mrc-ide/PlasmoSim/workflows/checks_develop/badge.svg)](https://github.com/mrc-ide/PlasmoSim/actions)
[![master checks](https://github.com/mrc-ide/PlasmoSim/workflows/checks_master/badge.svg)](https://github.com/mrc-ide/PlasmoSim/actions)MIPanalyzer
------------`MIPanalyzer` is a tool for analyzing MIP (molecular inversion probe) data. It performs the following functions:
- Reading in raw data, usually in the form of a `vcf` file produced by [MIPwrangler](https://github.com/bailey-lab/MIPWrangler)
- Filtering samples and loci based on coverage, missingness, and other metrics
- Performing simple population genetic analyses, such as PCA and basic pairwise distance metricsAll documentation, including installation instructions and tutorials, are on [the MIPanalyzer website](https://mrc-ide.github.io/MIPanalyzer).
Version History
------------The current release version of the software is v1.1.0, released 12 Dec 2023.
Contributors
------------
- [Bob Verity](https://github.com/bobverity)
- [OJ Watson](https://github.com/ojwatson)
- [Nick Brazeau](https://github.com/nickbrazeau)