Journal
Genome Medicine
Publication Date
2016
Volume
8
Issue
1
Inclusive Pages
11
Document Type
Open Access Publication
DOI
10.1186/s13073-016-0264-5
Rights and Permissions
Hundal et al. Genome Medicine (2016) 8:11 DOI 10.1186/s13073-016-0264-5
Recommended Citation
Hundal, Jasreet; Carreno, Beatriz M.; Petti, Allegra A.; Linette, Gerald P.; Griffith, Obi L.; Mardis, Elaine R.; and Griffith, Malachi, "pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens." Genome Medicine. 8, 1. 11. (2016).
https://digitalcommons.wustl.edu/open_access_pubs/4533
s13073-016-0264-5-s1.pdf (150 kB)
Illustrates the variant calling pipeline employed as part of the GMS strategy
s13073-016-0264-5-s2.pdf (182 kB)
Illustrates the landscape of neoantigen vaccine candidates in patient MEL38 after being prioritized using the pVAC-Seq pipeline
s13073-016-0264-5-s3.pdf (111 kB)
Illustrates the landscape of neoantigen vaccine candidates in patient MEL218 after being prioritized using the pVAC-Seq pipeline
s13073-016-0264-5-s4.pdf (143 kB)
Illustrates the landscape of neoantigen vaccine candidates in patient MEL69 after being prioritized using the pVAC-Seq pipeline
Illustrates the variant calling pipeline employed as part of the GMS strategy
s13073-016-0264-5-s2.pdf (182 kB)
Illustrates the landscape of neoantigen vaccine candidates in patient MEL38 after being prioritized using the pVAC-Seq pipeline
s13073-016-0264-5-s3.pdf (111 kB)
Illustrates the landscape of neoantigen vaccine candidates in patient MEL218 after being prioritized using the pVAC-Seq pipeline
s13073-016-0264-5-s4.pdf (143 kB)
Illustrates the landscape of neoantigen vaccine candidates in patient MEL69 after being prioritized using the pVAC-Seq pipeline
