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TSNAD: an integrated software for cancer somatic mutation and tumour-specific neoantigen detection

Authors :
Zhan Zhou
Xingzheng Lyu
Jingcheng Wu
Xiaoyue Yang
Shanshan Wu
Jie Zhou
Xun Gu
Zhixi Su
Shuqing Chen
Source :
Royal Society Open Science, Vol 4, Iss 4 (2017)
Publication Year :
2017
Publisher :
The Royal Society, 2017.

Abstract

Tumour antigens have attracted much attention because of their importance to cancer diagnosis, prognosis and targeted therapy. With the development of cancer genomics, the identification of tumour-specific neoantigens became possible, which is a crucial step for cancer immunotherapy. In this study, we developed software called the tumour-specific neoantigen detector for detecting cancer somatic mutations following the best practices of the genome analysis toolkit and predicting potential tumour-specific neoantigens, which could be either extracellular mutations of membrane proteins or mutated peptides presented by class I major histocompatibility complex molecules. This pipeline was beneficial to the biologist with little programmatic background. We also applied the software to the somatic mutations from the International Cancer Genome Consortium database to predict numerous potential tumour-specific neoantigens. This software is freely available from https://github.com/jiujiezz/tsnad.

Details

Language :
English
ISSN :
20545703
Volume :
4
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Royal Society Open Science
Publication Type :
Academic Journal
Accession number :
edsdoj.392d6237f7294e1d9fcfdad14a30782b
Document Type :
article
Full Text :
https://doi.org/10.1098/rsos.170050