Git Product home page Git Product logo

pull_thin's Introduction

This is a little utility for post-processing .tsv files produced by the Multiplexed Shotgun Genotyping (msg) pipeline

DEPENDENCIES

Python 2.7

USAGE

python pull_thin_tsv.0.5.1.py <config_file: default = pt.cfg> 

If no config_file provided, program looks for pt.cfg in same folder

INFORMATION
For info on msg, see 
github.com/JaneliaSciComp/msg

This utility will perform the following tasks
1 - Pull out specific individuals from across multiple tsv files
2 - Reduce each file to thinned data (defined by parameter difffac), keeping the flanking values with values < difffac
3 - Can replace the NAs in the files with priors, which is useful for some downstream applications, such as R-QTL


Known issues:
1 - Properly recognizes if *par2 files have been preprocessed, but does not recognize for *par1 files.
2 - Does not find "sex" column in phenofile for csv files, only for tab delimited files.

pull_thin's People

Contributors

andrewtaverner avatar dstern avatar

Stargazers

 avatar  avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.