Work

Accounting for proximal variants improves neoantigen prediction

Year: 2018

Type: article

Source: Nature Genetics

DOI: 10.1038/s41588-018-0283-9

Authors: Jasreet Hundal, Susanna Kiwala, Yang-Yang Feng, Connor J. Liu, Ramaswamy Govindan, William C. Chapman, Ravindra Uppaluri, S. Joshua Swamidass, Obi L. Griffith, Elaine R. Mardis, Malachi Griffith

Institutions: Washington University in St. Louis, Alvin J. Siteman Cancer Center, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Nationwide Children's Hospital

Language: English

Topic: Cancer Immunotherapy and Biomarkers

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Human Genome Research Institute, National Cancer Institute, National Institute of Dental and Craniofacial Research, U.S. National Library of Medicine

Awards: G1686905186, G2420751776, Genomic and Functional Identification of Chemotherapy Resistance Mechanisms in Small Cell Lung Cancer, G5310623310, G581057067, G5841304809, G6570698260, DEFINING THE REGULATORY, NON-CODING, MUTATIONAL LANDSCAPE OF BREAST CANCER

OpenAlex ID: W2900704161

FWCI: 2.358

Cites: 38

Cited by: 53

Related to: 10