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Toolbox Advanced Technologies for Antigen Identification

This collection is part of the Cancer Immunology Research editors' "Toolbox" series, which highlights interesting platforms, methodologies, and prediction models published in the journal. In this collection, we have included articles that utilize machine learning algorithms and high-throughput advanced technologies alongside bioinformatics to improve prediction modeling and identification of neoantigens and the peptide-MHC targets of candidate TCR-based therapeutics. We hope you enjoy this collection!

Special Collection Image
Pouya Faridi; Katherine Woods; Simone Ostrouska; Cyril Deceneux; Ritchlynn Aranha; Divya Duscharla; Stephen Q. Wong; Weisan Chen; Sri H. Ramarathinam; Terry C.C. Lim Kam Sian; Nathan P. Croft; Chen Li; Rochelle Ayala; Jonathan S. Cebon; Anthony W. Purcell; Ralf B. Schittenhelm; Andreas Behren
Doi: 10.1158/2326-6066.CIR-19-0894
Ron S. Gejman; Heather F. Jones; Martin G. Klatt; Aaron Y. Chang; Claire Y. Oh; Smita S. Chandran; Tatiana Korontsvit; Viktoriya Zakahleva; Tao Dao; Christopher A. Klebanoff; David A. Scheinberg
Doi: 10.1158/2326-6066.CIR-19-0745
Qingchuan Zhao; Jean-Philippe Laverdure; Joël Lanoix; Chantal Durette; Caroline Côté; Éric Bonneil; Céline M. Laumont; Patrick Gendron; Krystel Vincent; Mathieu Courcelles; Sébastien Lemieux; Douglas G. Millar; Pamela S. Ohashi; Pierre Thibault; Claude Perreault
Doi: 10.1158/2326-6066.CIR-19-0541
Jasreet Hundal; Susanna Kiwala; Joshua McMichael; Christopher A. Miller; Huiming Xia; Alexander T. Wollam; Connor J. Liu; Sidi Zhao; Yang-Yang Feng; Aaron P. Graubert; Amber Z. Wollam; Jonas Neichin; Megan Neveau; Jason Walker; William E. Gillanders; Elaine R. Mardis; Obi L. Griffith; Malachi Griffith
Doi: 10.1158/2326-6066.CIR-19-0401
Xiaoshan M. Shao; Rohit Bhattacharya; Justin Huang; I.K. Ashok Sivakumar; Collin Tokheim; Lily Zheng; Dylan Hirsch; Benjamin Kaminow; Ashton Omdahl; Maria Bonsack; Angelika B. Riemer; Victor E. Velculescu; Valsamo Anagnostou; Kymberleigh A. Pagel; Rachel Karchin
Doi: 10.1158/2326-6066.CIR-19-0464
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