compbio-UofT/FSDA

Name: FSDA

Owner: Computational Biology Lab at the University of Toronto

Description: null

Created: 2015-01-15 21:33:35.0

Updated: 2017-05-24 12:23:50.0

Pushed: 2017-12-03 03:06:37.0

Homepage: null

Size: 285

Language: Python

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README

FSDA: Fragment Size Distribution Analysis for non-invasive prenatal CNV prediction

Requirements
Pre-process

Use the preprocess.sh script in the preprocess directory to create the required files for prediction. Based on the size of the sample and reference, this can take hours.

Usage:

eprocess.sh [sample_dir] [ref_dir] [prep_dir] [ref_genome] [dbsnp_file]
Prediction

The script predict_region.sh in the directory prediction can be used to predict the copy number of a region.

Usage:

edict_region.sh [sample_dir] [ref_dir] [prep_dir] [chr] [begin] [end] [ks_threshold] [neighbours_threshold] [fraction] 

Example:

edict_region.sh ~/sample_dir ~/ref_dir ~/prep_dir chr3 10000000 11000000 0.002 5 0.13
Reference

Arbabi, Aryan, Ladislav Rampá?ek, and Michael Brudno. “Cell-free DNA fragment-size distribution analysis for non-invasive prenatal CNV prediction.” Bioinformatics 32.11 (2016): 1662-1669.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.