157 related articles for article (PubMed ID: 37882750)
1. ScanNeo2: a comprehensive workflow for neoantigen detection and immunogenicity prediction from diverse genomic and transcriptomic alterations.
Schäfer RA; Guo Q; Yang R
Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37882750
[TBL] [Abstract][Full Text] [Related]
2. nextNEOpi: a comprehensive pipeline for computational neoantigen prediction.
Rieder D; Fotakis G; Ausserhofer M; René G; Paster W; Trajanoski Z; Finotello F
Bioinformatics; 2022 Jan; 38(4):1131-1132. PubMed ID: 34788790
[TBL] [Abstract][Full Text] [Related]
3. OpenVax: An Open-Source Computational Pipeline for Cancer Neoantigen Prediction.
Kodysh J; Rubinsteyn A
Methods Mol Biol; 2020; 2120():147-160. PubMed ID: 32124317
[TBL] [Abstract][Full Text] [Related]
4. ProGeo-neo: a customized proteogenomic workflow for neoantigen prediction and selection.
Li Y; Wang G; Tan X; Ouyang J; Zhang M; Song X; Liu Q; Leng Q; Chen L; Xie L
BMC Med Genomics; 2020 Apr; 13(Suppl 5):52. PubMed ID: 32241270
[TBL] [Abstract][Full Text] [Related]
5. Seq2Neo: A Comprehensive Pipeline for Cancer Neoantigen Immunogenicity Prediction.
Diao K; Chen J; Wu T; Wang X; Wang G; Sun X; Zhao X; Wu C; Wang J; Yao H; Gerarduzzi C; Liu XS
Int J Mol Sci; 2022 Oct; 23(19):. PubMed ID: 36232923
[TBL] [Abstract][Full Text] [Related]
6. CloudNeo: a cloud pipeline for identifying patient-specific tumor neoantigens.
Bais P; Namburi S; Gatti DM; Zhang X; Chuang JH
Bioinformatics; 2017 Oct; 33(19):3110-3112. PubMed ID: 28605406
[TBL] [Abstract][Full Text] [Related]
7. LENS: Landscape of Effective Neoantigens Software.
Vensko SP; Olsen K; Bortone D; Smith CC; Chai S; Beckabir W; Fini M; Jadi O; Rubinsteyn A; Vincent BG
Bioinformatics; 2023 May; 39(6):. PubMed ID: 37184881
[TBL] [Abstract][Full Text] [Related]
8. INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery.
Zhang J; Mardis ER; Maher CA
Bioinformatics; 2017 Feb; 33(4):555-557. PubMed ID: 27797777
[TBL] [Abstract][Full Text] [Related]
9. pTuneos: prioritizing tumor neoantigens from next-generation sequencing data.
Zhou C; Wei Z; Zhang Z; Zhang B; Zhu C; Chen K; Chuai G; Qu S; Xie L; Gao Y; Liu Q
Genome Med; 2019 Oct; 11(1):67. PubMed ID: 31666118
[TBL] [Abstract][Full Text] [Related]
10. Neoantigen identification: Technological advances and challenges.
Pu T; Peddle A; Zhu J; Tejpar S; Verbandt S
Methods Cell Biol; 2024; 183():265-302. PubMed ID: 38548414
[TBL] [Abstract][Full Text] [Related]
11. NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipeline.
Schenck RO; Lakatos E; Gatenbee C; Graham TA; Anderson ARA
BMC Bioinformatics; 2019 May; 20(1):264. PubMed ID: 31117948
[TBL] [Abstract][Full Text] [Related]
12. Best practices for bioinformatic characterization of neoantigens for clinical utility.
Richters MM; Xia H; Campbell KM; Gillanders WE; Griffith OL; Griffith M
Genome Med; 2019 Aug; 11(1):56. PubMed ID: 31462330
[TBL] [Abstract][Full Text] [Related]
13. Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo.
Wang TY; Yang R
STAR Protoc; 2021 Sep; 2(3):100788. PubMed ID: 34522901
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive analysis of neoantigens derived from structural variation across whole genomes from 2528 tumors.
Shi Y; Jing B; Xi R
Genome Biol; 2023 Jul; 24(1):169. PubMed ID: 37461029
[TBL] [Abstract][Full Text] [Related]
15. Neodb: a comprehensive neoantigen database and discovery platform for cancer immunotherapy.
Wu T; Chen J; Diao K; Wang G; Wang J; Yao H; Liu XS
Database (Oxford); 2023 Jun; 2023():. PubMed ID: 37311149
[TBL] [Abstract][Full Text] [Related]
16. Identification of shared neoantigens in esophageal carcinoma by the combination of comprehensive analysis of genomic data and in silico neoantigen prediction.
Yuan Y; Chen C; Liu S; Xiong H; Huang Y; Zhang X; Zhang X; Li B
Cell Immunol; 2022 Jul; 377():104537. PubMed ID: 35636066
[TBL] [Abstract][Full Text] [Related]
17. neoANT-HILL: an integrated tool for identification of potential neoantigens.
Coelho ACMF; Fonseca AL; Martins DL; Lins PBR; da Cunha LM; de Souza SJ
BMC Med Genomics; 2020 Feb; 13(1):30. PubMed ID: 32087727
[TBL] [Abstract][Full Text] [Related]
18. FusionNeoAntigen: a resource of fusion gene-specific neoantigens.
Kumar H; Luo R; Wen J; Yang C; Zhou X; Kim P
Nucleic Acids Res; 2024 Jan; 52(D1):D1276-D1288. PubMed ID: 37870454
[TBL] [Abstract][Full Text] [Related]
19. NeoFuse: predicting fusion neoantigens from RNA sequencing data.
Fotakis G; Rieder D; Haider M; Trajanoski Z; Finotello F
Bioinformatics; 2020 Apr; 36(7):2260-2261. PubMed ID: 31755900
[TBL] [Abstract][Full Text] [Related]
20. In Silico Prediction of Tumor Neoantigens with TIminer.
Kirchmair A; Finotello F
Methods Mol Biol; 2020; 2120():129-145. PubMed ID: 32124316
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
