Ryan Poplin - Concepedia

Author

Ryan Poplin

Also Known As

Anthony A. Philippakis, Bharadwaj, Dwaipayan, Flannick, Jason, Jeffrey G. Reid, Khalid Shakir, Mark DePristo, Müller-Nurasyid, Martina, Paiss, Roni, Poplin, Ryan, Ryan E. Poplin

Publications

80.8K

Citations

H-Index

Concepts

All Affiliations

Broad Institute Massachusetts General Hospital Harvard University Icahn School of Medicine at Mount Sinai University of Oxford

About

Ryan Poplin is an author at Broad Institute specializing in genetics, medicine, and genomics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	11	11	29.7K
2	Biostatistics	6	6	16.5K
3	Engineering	5	5	4.3K
4	Public Health	5	5	16.1K
5	Biology	1	1	65

Ryan Poplin

Publications

41.4K

Citations

H-Index

Page 1

	Year	Citations
A framework for variation discovery and genotyping using next-generation DNA sequencing data Mark A. DePristo, Eric Banks, Ryan Poplin, Nature Genetics Dna SequencingSequencingMedicineGeneticsComputational Genomics	2011	12.1K
Analysis of protein-coding genetic variation in 60,706 humans Monkol Lek, Konrad J. Karczewski, Eric Vallabh Minikel, Nature Phenotypic VariationProtein-coding Genetic VariationGeneticsHuman PolymorphismGenomics	2016	10.1K
From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline Geraldine Van Der Auwera, Mauricio O. Carneiro, Christopher Hartl, Current Protocols in Bioinformatics	2013	7K
Scaling accurate genetic variant discovery to tens of thousands of samples Ryan Poplin, Valentín Ruano-Rubio, Mark A. DePristo, GeneticsGenetic EpidemiologyGenomicsHc-rcm ScalesHigh Throughput Sequencing	2017	2K
Patterns and rates of exonic de novo mutations in autism spectrum disorders Benjamin M. Neale, Yan Kou, Li Liu, Nature Neurodevelopmental DisordersAutism Spectrum DisordersSyndromic AutismGeneticsGenetic Disorder	2012	1.8K
A universal SNP and small-indel variant caller using deep neural networks Ryan Poplin, Pi-Chuan Chang, David H. Alexander, Nature Biotechnology BioinformaticsAllelic VariantDeep Neural NetworksEngineeringGenetics	2018	1.7K
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Ryan Poplin, Avinash V. Varadarajan, Katy Blumer, Nature Biomedical Engineering Image ClassificationConvolutional Neural NetworkImage AnalysisMachine LearningOphthalmology	2018	1.7K
The genetic architecture of type 2 diabetes Christian Fuchsberger, Jason Flannick, Tanya M. Teslovich, Nature Genetic DeterminantGeneticsDiabetesGenetic EpidemiologyType 2	2016	1.1K
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images Eric Christiansen, Samuel Yang, D. Michael Ando, Cell Image ClassificationMachine VisionImage AnalysisData ScienceEngineering	2018	666
Identifying viruses from metagenomic data using deep learning Jie Ren, Kai Song, Chao Deng, Quantitative Biology	2020	632

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