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Project Description

Generates DNA sequences using a Markov Chain, learned from some reference sequence(s).

Many thanks to Ben Kaehler for a proof of concept and mathematical assistance.

Disclaimer: This is unstable software at the moment. Use with caution.

Installation

pip install cython numpy nose
pip install -U -e 'git+https://github.com/kdmurray91/mpg#egg=mpg'

Usage

The script mpg should have been installed. This learns the transition probablitlies from sequences (in Fasta format) and generates random sequences from this Markov chain.

To learn transition probablities for a 5th-order Markov chain from the Arabidopsis genome and store them in a file (ath.yml):

mpg -k 5 -d ath.yml TAIR_10.fasta

To use these transition probablitlies to generate a sequence of 1000bp:

mpg -l 1000 -r ath.yml

To do the above operations at once:

mpg -l 1000 -k 5 TAIR_10.fasta
Release History

Release History

0.1.0

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mpg-0.1.0.tar.gz (48.6 kB) Copy SHA256 Checksum SHA256 Source Mar 5, 2016

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