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Ryan Poplin
Ryan Poplin
Google DeepMind
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Title
Cited by
Cited by
Year
A global reference for human genetic variation
1000 Genomes Project Consortium
Nature 526 (7571), 68, 2015
163522015
A framework for variation discovery and genotyping using next-generation DNA sequencing data
MA DePristo, E Banks, R Poplin, KV Garimella, JR Maguire, C Hartl, ...
Nature genetics 43 (5), 491-498, 2011
122702011
Analysis of protein-coding genetic variation in 60,706 humans
M Lek, KJ Karczewski, EV Minikel, KE Samocha, E Banks, T Fennell, ...
Nature 536 (7616), 285-291, 2016
108212016
A map of human genome variation from population scale sequencing
1000 Genomes Project Consortium
Nature 467 (7319), 1061, 2010
89812010
An integrated map of genetic variation from 1,092 human genomes
1000 Genomes Project Consortium
Nature 491 (7422), 56, 2012
86032012
From FastQ data to high‐confidence variant calls: the genome analysis toolkit best practices pipeline
GA Van der Auwera, MO Carneiro, C Hartl, R Poplin, G Del Angel, ...
Current protocols in bioinformatics 43 (1), 11.10. 1-11.10. 33, 2013
60152013
An integrated map of structural variation in 2,504 human genomes
PH Sudmant, T Rausch, EJ Gardner, RE Handsaker, A Abyzov, ...
Nature 526 (7571), 75-81, 2015
25592015
Patterns and rates of exonic de novo mutations in autism spectrum disorders
BM Neale, Y Kou, L Liu, A Ma˘Ayan, KE Samocha, A Sabo, CF Lin, ...
Nature 485 (7397), 242-245, 2012
21002012
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
R Poplin, AV Varadarajan, K Blumer, Y Liu, MV McConnell, GS Corrado, ...
Nature biomedical engineering 2 (3), 158-164, 2018
17582018
Scaling accurate genetic variant discovery to tens of thousands of samples
R Poplin, V Ruano-Rubio, MA DePristo, TJ Fennell, MO Carneiro, ...
BioRxiv, 201178, 2017
15932017
A universal SNP and small-indel variant caller using deep neural networks
R Poplin, PC Chang, D Alexander, S Schwartz, T Colthurst, A Ku, ...
Nature biotechnology 36 (10), 983-987, 2018
13492018
The genetic architecture of type 2 diabetes
C Fuchsberger, J Flannick, TM Teslovich, A Mahajan, V Agarwala, ...
Nature 536 (7614), 41-47, 2016
13062016
Likelihood ratios for out-of-distribution detection
J Ren, PJ Liu, E Fertig, J Snoek, R Poplin, M Depristo, J Dillon, ...
Advances in neural information processing systems 32, 2019
8082019
Demographic history and rare allele sharing among human populations
S Gravel, BM Henn, RN Gutenkunst, AR Indap, GT Marth, AG Clark, F Yu, ...
Proceedings of the National Academy of Sciences 108 (29), 11983-11988, 2011
7392011
Variation in genome-wide mutation rates within and between human families
Nature genetics 43 (7), 712-714, 2011
7022011
In silico labeling: predicting fluorescent labels in unlabeled images
EM Christiansen, SJ Yang, DM Ando, A Javaherian, G Skibinski, S Lipnick, ...
Cell 173 (3), 792-803. e19, 2018
6602018
Loss-of-function mutations in SLC30A8 protect against type 2 diabetes
J Flannick, G Thorleifsson, NL Beer, SBR Jacobs, N Grarup, NP Burtt, ...
Nature genetics 46 (4), 357-363, 2014
5602014
Identifying viruses from metagenomic data using deep learning
J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ...
Quantitative Biology, 1-14, 2020
4802020
Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel
O Delaneau, J Marchini
Nature communications 5 (1), 3934, 2014
4682014
The 1000 Genomes Project: data management and community access
L Clarke, X Zheng-Bradley, R Smith, E Kulesha, C Xiao, I Toneva, ...
Nature methods 9 (5), 459-462, 2012
3802012
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