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Author Details
Full Name
Ryan Poplin
Affiliation
ORCID
Career Start Year
2011
Papers
19
H Index
14
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
34739228
Evolution of Functionally Enhanced α-l-Threofuranosyl Nucleic Acid Aptamers.
ACS Synthetic Biology
2021
34283192
Challenges of Accuracy in Germline Clinical Sequencing Data.
JAMA
2021
34084563
Identifying viruses from metagenomic data using deep learning.
Quantitative Biology
2020
30864325
CrowdVariant: a crowdsourcing approach to classify copy number variants.
Pac Symp Biocomput
2019
30916319
GenomeWarp: an alignment-based variant coordinate transformation.
2019
29360107
Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Sci Data
2018
30025129
Deep Learning for Predicting Refractive Error From Retinal Fundus Images.
Invest Ophthalmol Vis Sci
2018
30247488
A universal SNP and small-indel variant caller using deep neural networks.
Nature Biotechnology
2018
29656897
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images.
Cell
2018
29257133
Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Sci Data
2017
28341696
A Low-Frequency Inactivating <i>AKT2</i> Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk.
Diabetes
2017
27535533
Analysis of protein-coding genetic variation in 60,706 humans.
Nature
2016
27398621
The genetic architecture of type 2 diabetes.
Nature
2016
25954003
Human genomics. Effect of predicted protein-truncating genetic variants on the human transcriptome.
Science
2015
25765891
The distribution and mutagenesis of short coding INDELs from 1,128 whole exomes.
BMC Genomics
2015
23593035
Analysis of rare, exonic variation amongst subjects with autism spectrum disorders and population controls.
PLoS Genet
2013
25431634
From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.
Curr Protoc Bioinformatics
2013
22495311
Patterns and rates of exonic de novo mutations in autism spectrum disorders.
Nature
2012
21478889
A framework for variation discovery and genotyping using next-generation DNA sequencing data.
Nat Genet
2011
1 - 19 of 19
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