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Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens
Author(s) -
Takanori Hasegawa,
Shuto Hayashi,
Eigo Shimizu,
Shinichi Mizuno,
Atsushi Niida,
Rui Yamaguchi,
Satoru Miyano,
Hidewaki Nakagawa,
Seiya Imoto
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa616
Subject(s) - frameshift mutation , point mutation , missense mutation , biology , computational biology , genetics , mutant , indel , major histocompatibility complex , mutation , gene , single nucleotide polymorphism , genotype
It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important to understand this process for cancer immunotherapy. Here, we introduce an R package termed Neoantimon that can predict a list of potential neoantigens from a variety of mutations, which include not only somatic point mutations but insertions, deletions and structural variants. Beyond the existing applications, Neoantimon is capable of attaching and reflecting several additional information, e.g. wild-type binding capability, allele specific RNA expression levels, single nucleotide polymorphism information and combinations of mutations to filter out infeasible peptides as neoantigen.

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