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Indraniel Das
Researcher at Washington University in St. Louis
Publications - 14
Citations - 932
Indraniel Das is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Structural variation & Genome-wide association study. The author has an hindex of 6, co-authored 13 publications receiving 650 citations. Previous affiliations of Indraniel Das include University of Michigan.
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Journal ArticleDOI
DGIdb: mining the druggable genome
Malachi Griffith,Obi L. Griffith,Adam C. Coffman,James V. Weible,Josh F McMichael,Nicholas C. Spies,James Koval,Indraniel Das,Matthew B. Callaway,James M. Eldred,Christopher A. Miller,Janakiraman Subramanian,Ramaswamy Govindan,Runjun D. Kumar,Ron Bose,Li Ding,Jason Walker,David E. Larson,David J. Dooling,Scott M. Smith,Timothy J. Ley,Elaine R. Mardis,Richard K. Wilson +22 more
TL;DR: The Drug-Gene Interaction database (DGIdb) provides an interface for searching lists of genes against a compendium of drug-gene interactions and potentially 'druggable' genes.
Journal ArticleDOI
Mapping and Characterization of Structural Variation in 17,795 Human Genomes
Haley J. Abel,David E. Larson,Allison A. Regier,Colby Chiang,Indraniel Das,Krishna L. Kanchi,Ryan M. Layer,Benjamin M. Neale,Benjamin M. Neale,William J Salerno,Catherine Reeves,Steven Buyske,Nhgri Centers for Common Disease Genomics,Tara C. Matise,Donna M. Muzny,Michael C. Zody,Eric S. Lander,Eric S. Lander,Eric S. Lander,Susan K. Dutcher,Nathan O. Stitziel,Ira M. Hall +21 more
TL;DR: A scalable pipeline is used to map and characterize structural variants in 17,795 deeply sequenced human genomes to create the largest, to the authors' knowledge, whole-genome-sequencing-based structural variant resource so far and infer the dosage sensitivity of genes and noncoding elements.
Journal ArticleDOI
Quantifying the Impact of Rare and Ultra-rare Coding Variation across the Phenotypic Spectrum
Andrea Ganna,F. Kyle Satterstrom,F. Kyle Satterstrom,Seyedeh M. Zekavat,Seyedeh M. Zekavat,Indraniel Das,Indraniel Das,Mitja I. Kurki,Mitja I. Kurki,Mitja I. Kurki,Claire Churchhouse,Claire Churchhouse,Jessica Alföldi,Jessica Alföldi,Alicia R. Martin,Alicia R. Martin,Aki S. Havulinna,Aki S. Havulinna,Andrea Byrnes,Andrea Byrnes,Wesley K. Thompson,Philip R. Nielsen,Philip R. Nielsen,Konrad J. Karczewski,Konrad J. Karczewski,Elmo Saarentaus,Manuel A. Rivas,Namrata Gupta,Olli Pietilainen,Olli Pietilainen,Connor A. Emdin,Francesco Lescai,Francesco Lescai,Jonas Bybjerg-Grauholm,Jonas Bybjerg-Grauholm,Jason Flannick,Jason Flannick,Josep M. Mercader,Josep M. Mercader,Miriam S. Udler,Miriam S. Udler,Markku Laakso,Veikko Salomaa,Christina M. Hultman,Samuli Ripatti,Samuli Ripatti,Eija Hämäläinen,Jukka S. Moilanen,Jarmo Körkkö,Outi Kuismin,Merete Nordentoft,Merete Nordentoft,David M. Hougaard,David M. Hougaard,Ole Mors,Ole Mors,Thomas Werge,Thomas Werge,Thomas Werge,Preben Bo Mortensen,Daniel G. MacArthur,Daniel G. MacArthur,Mark J. Daly,Mark J. Daly,Patrick Sullivan,Patrick Sullivan,Adam E. Locke,Adam E. Locke,Aarno Palotie,Anders D. Børglum,Anders D. Børglum,Sekar Kathiresan,Sekar Kathiresan,Benjamin M. Neale,Benjamin M. Neale +74 more
TL;DR: A thorough investigation of the impact of rare deleterious coding variants on complex traits, suggesting widespread pleiotropic risk is provided.
Journal ArticleDOI
Genome Modeling System: A Knowledge Management Platform for Genomics.
Malachi Griffith,Obi L. Griffith,Scott M. Smith,Avinash Ramu,Matthew B. Callaway,Anthony M. Brummett,Michael J. Kiwala,Adam C. Coffman,Allison A. Regier,Benjamin J. Oberkfell,Gabriel E. Sanderson,Thomas P. Mooney,Nathaniel G. Nutter,Edward A. Belter,Feiyu Du,Robert T. L. Long,Travis E. Abbott,Ian T. Ferguson,David L. Morton,Mark M. Burnett,James V. Weible,Joshua Peck,Adam F. Dukes,Joshua F. McMichael,Justin T. Lolofie,Brian R. Derickson,Jasreet Hundal,Zachary L. Skidmore,Benjamin J. Ainscough,Nathan D. Dees,William Schierding,Cyriac Kandoth,Kyung H. Kim,Charles Lu,Chris Harris,Nicole Maher,Christopher G. Maher,Vincent Magrini,Benjamin S. Abbott,Ken Chen,Eric M. Clark,Indraniel Das,Xian Fan,Amy Hawkins,Todd G. Hepler,Todd Wylie,Shawn Leonard,William E. Schroeder,Xiaoqi Shi,Lynn K. Carmichael,Matthew R. Weil,Richard W. Wohlstadter,Gary Stiehr,Michael D. McLellan,Craig Pohl,Christopher A. Miller,Daniel C. Koboldt,Jason Walker,James M. Eldred,David E. Larson,David J. Dooling,Li Ding,Elaine R. Mardis,Richard K. Wilson +63 more
TL;DR: The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system.
Journal ArticleDOI
svtools: population-scale analysis of structural variation.
David E. Larson,Haley J. Abel,Colby Chiang,Abhijit Badve,Indraniel Das,James M. Eldred,Ryan M. Layer,Ira M. Hall +7 more
TL;DR: A fast and highly scalable software toolkit and cloud-based pipeline for assembling high quality SV maps—including deletions, duplications, mobile element insertions, inversions and other rearrangements—in many thousands of human genomes is presented.