CloudNeo: A cloud pipeline for identifying patient-specific tumor neoantigens.

Authors

Preeti Bais, The Jackson LaboratoryFollow
Sandeep Namburi, The Jackson LaboratoryFollow
Daniel M. Gatti, The Jackson LaboratoryFollow
Xinyu Zhang
Jeffrey Chuang, The Jackson LaboratoryFollow

Document Type

Article

Publication Date

10-1-2017

JAX Source

Bioinformatics 2017 Oct 1; 33(19):3110-3112.

ISSN

1367-4811

PMID

28605406

DOI

https://doi.org/10.1093/bioinformatics/btx375

Grant

CA191848, CA034196

Abstract

Availability: The CWL implementation is at: https://github.com/TheJacksonLaboratory/CloudNeo . For users who have obtained licenses for all internal software, integrated versions in CWL and on the Seven Bridges Cancer Genomics Cloud platform ( htps://cgc.sbgenomics.com/ , recommended version) can be obtained by contacting the authors. Bioinformatics 2017 Oct 1; 33(19):3110-3112.

Contact: jeff.chuang@jax.org.

Recommended Citation

Bais P, Namburi S, Gatti DM, Zhang X, Chuang J. CloudNeo: A cloud pipeline for identifying patient-specific tumor neoantigens. Bioinformatics 2017 Oct 1; 33(19):3110-3112.