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John Vivian
John Vivian
UC Santa Cruz Genomics Institute
Verified email at ucsc.edu - Homepage
Title
Cited by
Cited by
Year
Genetic effects on gene expression across human tissues
GTEx Consortium Lead analysts: Aguet François 1 Brown Andrew A. 2 3 4 Castel ...
Nature 550 (7675), 204-213, 2017
32662017
Toil enables reproducible, open source, big biomedical data analyses
J Vivian, AA Rao, FA Nothaft, C Ketchum, J Armstrong, A Novak, J Pfeil, ...
Nature biotechnology 35 (4), 314-316, 2017
9892017
The UCSC genome browser database: 2017 update
C Tyner, GP Barber, J Casper, H Clawson, M Diekhans, C Eisenhart, ...
Nucleic acids research 45 (D1), D626-D634, 2017
3772017
Error rates for nanopore discrimination among cytosine, methylcytosine, and hydroxymethylcytosine along individual DNA strands
J Schreiber, ZL Wescoe, R Abu-Shumays, JT Vivian, B Baatar, K Karplus, ...
Proceedings of the National Academy of Sciences 110 (47), 18910-18915, 2013
2002013
Comparative tumor RNA sequencing analysis for difficult-to-treat pediatric and young adult patients with cancer
OM Vaske, I Bjork, SR Salama, H Beale, AT Shah, L Sanders, J Pfeil, ...
JAMA network open 2 (10), e1913968-e1913968, 2019
452019
Rapid and efficient analysis of 20,000 RNA-seq samples with Toil
J Vivian, A Rao, FA Nothaft, C Ketchum, J Armstrong, A Novak, J Pfeil, ...
bioRxiv, 062497, 2016
262016
Bayesian framework for detecting gene expression outliers in individual samples
J Vivian, JM Eizenga, HC Beale, OM Vaske, B Paten
JCO Clinical Cancer Informatics 4, 160-170, 2020
72020
Identifying confidently measured genes in single pediatric cancer patient samples using RNA sequencing
H Beale, DL Lam, J Vivian, Y Newton, AT Shah, I Bjork, T Goldstein, ...
Cancer Research 77 (13_Supplement), 2466-2466, 2017
22017
A pan-cancer analysis framework for incorporating gene expression information into clinical interpretation of pediatric cancer genomic data
O Morozova, Y Newton, AT Shah, H Beale, DL Lam, J Vivian, I Bjork, ...
Cancer Research 77 (13_Supplement), 4890-4890, 2017
22017
Mobilization of innate and adaptive antitumor immune responses by the RNP-targeting antibody ATRC-101
A Scholz, J DeFalco, Y Leung, IT Aydin, CJ Czupalla, W Cao, D Santos, ...
Proceedings of the National Academy of Sciences 119 (19), e2123483119, 2022
12022
The case for using mapped exonic non-duplicate reads when reporting RNA-sequencing depth: examples from pediatric cancer datasets
HC Beale, JM Roger, MA Cattle, LT McKay, DKA Thompson, K Learned, ...
GigaScience 10 (3), giab011, 2021
12021
Tools for Large-scale Genomic Analysis and Gene Expression Outlier Modeling for Precision Therapeutics
J Vivian
University of California, Santa Cruz, 2019
12019
469 Cooperation between checkpoint inhibitors targeting the PD-1/PD-L1 axis and ATRC-101, a novel clinical-stage candidate for the treatment of solid tissue malignancies
A Manning-Bog, J DeFalco, A Scholz, I Aydin, N Vad, C Czupalla, F Chu, ...
Journal for ImmunoTherapy of Cancer 8 (Suppl 3), 2020
2020
689 ATRC-101 Drives Potent Single-Agent Activity in Mouse Syngeneic Tumor Models via a Novel Cellular Mechanism of Action
Y Leung, N Vad, A Ye, D Santos, W Cao, C Czupalla, J Vivian, C Williams, ...
Journal for ImmunoTherapy of Cancer 8 (Suppl 3), 2020
2020
Determining accuracy of RNA sequencing data for gene expression profiling of single samples
HC Beale, JM Roger, MA Cattle, LT McKay, K Learned, G Lyle, ...
Cancer Research 80 (16_Supplement), 5464-5464, 2020
2020
The case for using Mapped Exonic Non-Duplicate (MEND) read counts in RNA-Seq experiments: examples from pediatric cancer datasets
HC Beale, JM Roger, MA Cattle, LT McKay, DKA Thomson, K Learned, ...
2019
Framework for determining accuracy of RNA sequencing data for gene expression profiling of single samples
HC Beale, JM Roger, MA Cattle, LT McKay, K Learned, AG Lyle, ...
bioRxiv, 716829, 2019
2019
UCSC Genome Browser
C Tyner, GP Barber, J Casper, H Clawson, M Diekhans, C Eisenhart, ...
2016
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