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DSMap

Genome-wide maps of human copy number mutation rates and dosage sensitivity

Copyright (c) 2021-Present, Ryan L. Collins and the Talkowski Laboratory.
Distributed under terms of the MIT License (see LICENSE).

Note: this repository is under active development


Synopsis

This repository contains the working code and scripts used to:

  1. Aggregate copy-number variant (CNV) data across technologies;
  2. Build genome-wide CNV mutation rate maps; and
  3. Compute genome-wide dosage sensitivity maps

Table of Contents

Directory Description
annotations/ Processing of genome annotations
CMA/ Processing & analysis of chromosomal microarray datasets
cromwell/ Resources for executing cloud workflows on Cromwell
data/ Manifests of datasets used in this project
dockerfiles/ Build files for Docker Images used in this project
dsmapR/ Source for dsmapR R package
integration/ Cross-technology integration of dosage sensitivity maps
paper/ Analyses & figures for DSMap paper
scripts/ Stand-alone helper scripts
wdls/ Stand-alone WDL workflows
WES/ Processing & analysis of whole-exome sequencing datasets
WGS/ Processing & analysis of whole-genome sequencing datasets

Key Dependencies

Athena

This repository relies heavily on the functions provided by athena, a command-line toolkit designed to support the DSMap project.

Please refer to the athena repository for more information on athena, its functions, or the Docker Image provided for its deployment.

Docker

Every analysis in this repository is intended to be run in a Docker container.

If you do not have Docker installed on your machine, it is recommended to do so prior to running any code contained herein.

WDL/Cromwell

In many cases, analyses were parallelized in Google Cloud using the Workflow Description Language (WDL) and the Cromwell Workflow Management System.


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