Internal Dataset

UID: 92

Author(s): Ellison, Mitchell A.+, Walker, Jennifer L.+, Ropp, Patrick J.+, Durrant, Jacob D.+, Arndt, Karen M.*+ * Corresponding Author + University of Pittsburgh Author

This Github repository contains a bioinformatics pipeline for identification and characterization of mutations in Saccharomyces cerevisiae. MutantHuntWGS compares data, input in FASTQ format, from a mutant strain to a wild-type strain to identify high confidence sequence variants present only in the mutant.

To enable quick and easy installation and to ensure reproducibility, MutantHuntWGS was incorporated into a Docker container. With a single command, users can download and install the software. A second command runs the analysis. The pipeline allows researchers to leverage WGS for the efficient identification of causal mutations, regardless of bioinformatics experience.

Subject of Study
Access via GitHub

Bioinformatics pipeline including Docker, code, FASTQ files.

Access Restrictions
Free to all
Access Instructions
Follow the instructions in the README on Github to download and run via Docker. Requires Docker installation.
Associated Publications
Data Type
Software Used
BCFtools, Version: 1.10.2-54-g5c73ef6+
SnpEff, Version: 5.0
Resource Type(s)
Grant Support
Central Research Development Funds 2017-2018/University of Pittsburgh
Data Catalog Record Updated

Notice and Disclaimer: Please note that the information in this catalog is provided as a courtesy, as is, and with no representations or warranties of any kind. When you contact the responsible individual(s) listed in each record, or, where applicable, access a data repository listed, you will be subject to terms and conditions required by the data custodian/data repository. The University of Pittsburgh does not attempt to judge the scholarly quality of the data referenced and relies on the judgment and research expertise of those who created and/or deposited it.