Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens.
Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens.
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DOI:
10.1093/bioinformatics/btaa616
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发表时间:
2020-09-15
期刊:
影响因子:
--
通讯作者:
Imoto S
中科院分区:
文献类型:
--
作者:
Hasegawa T;Hayashi S;Shimizu E;Mizuno S;Niida A;Yamaguchi R;Miyano S;Nakagawa H;Imoto S
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. The R package is available at http://github/hase62/Neoantimon.
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DOI:
10.4049/jimmunol.1700893
发表时间:
2017-11-01
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Jurtz V;Paul S;Andreatta M;Marcatili P;Peters B;Nielsen M
通讯作者:
Nielsen M
影响因子:
12.3
作者:
McLaren W;Gil L;Hunt SE;Riat HS;Ritchie GR;Thormann A;Flicek P;Cunningham F
通讯作者:
Cunningham F
影响因子:
64.8
作者:
Matsushita, Hirokazu;Vesely, Matthew D.;Koboldt, Daniel C.;Rickert, Charles G.;Uppaluri, Ravindra;Magrini, Vincent J.;Arthur, Cora D.;White, J. Michael;Chen, Yee-Shiuan;Shea, Lauren K.;Hundal, Jasreet;Wendl, Michael C.;Demeter, Ryan;Wylie, Todd;Allison, James P.;Smyth, Mark J.;Old, Lloyd J.;Mardis, Elaine R.;Schreiber, Robert D.
通讯作者:
Schreiber, Robert D.
DOI:
10.1126/science.aaa3828
发表时间:
2015-05-15
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Carreno BM;Magrini V;Becker-Hapak M;Kaabinejadian S;Hundal J;Petti AA;Ly A;Lie WR;Hildebrand WH;Mardis ER;Linette GP
通讯作者:
Linette GP
影响因子:
14.9
作者:
Wang K;Li M;Hakonarson H
通讯作者:
Hakonarson H