NeoANT-HILL: an integrated tool for identification of potential neoantigens.

ABSTRACT:

Background

Cancer neoantigens have attracted great interest in immunotherapy due to their capacity to elicit antitumoral responses. These molecules arise from somatic mutations in cancer cells, resulting in alterations on the original protein. Neoantigens identification remains a challenging task due largely to a high rate of false-positives.

Results

We have developed an efficient and automated pipeline for the identification of potential neoantigens. neoANT-HILL integrates several immunogenomic analyses to improve neoantigen detection from Next Generation Sequence (NGS) data. The pipeline has been compiled in a pre-built Docker image such that minimal computational background is required for download and setup. NeoANT-HILL was applied in The Cancer Genome Atlas (TCGA) melan

SUBMITTER: Coelho ACMF 

PROVIDER: S-EPMC7036241 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature