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TIminer: NGS data mining pipeline for cancer immunology and immunotherapy.

Authors :
Tappeiner E
Finotello F
Charoentong P
Mayer C
Rieder D
Trajanoski Z
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2017 Oct 01; Vol. 33 (19), pp. 3140-3141.
Publication Year :
2017

Abstract

Summary: Recently, a number of powerful computational tools for dissecting tumor-immune cell interactions from next-generation sequencing data have been developed. However, the assembly of analytical pipelines and execution of multi-step workflows are laborious and involve a large number of intermediate steps with many dependencies and parameter settings. Here we present TIminer, an easy-to-use computational pipeline for mining tumor-immune cell interactions from next-generation sequencing data. TIminer enables integrative immunogenomic analyses, including: human leukocyte antigens typing, neoantigen prediction, characterization of immune infiltrates and quantification of tumor immunogenicity.<br />Availability and Implementation: TIminer is freely available at http://icbi.i-med.ac.at/software/timiner/timiner.shtml.<br />Contact: zlatko.trajanoski@i-med.ac.at.<br />Supplementary Information: Supplementary data are available at Bioinformatics online.<br /> (© The Author(s) 2017. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1367-4811
Volume :
33
Issue :
19
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
28633385
Full Text :
https://doi.org/10.1093/bioinformatics/btx377