N
Narayanan Veeraraghavan
Researcher at Children's Institute Inc.
Publications - 45
Citations - 5227
Narayanan Veeraraghavan is an academic researcher from Children's Institute Inc.. The author has contributed to research in topics: Exome sequencing & Exome. The author has an hindex of 25, co-authored 41 publications receiving 4126 citations. Previous affiliations of Narayanan Veeraraghavan include University of California, San Francisco & University of Michigan.
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Journal ArticleDOI
Molecular Findings Among Patients Referred for Clinical Whole-Exome Sequencing
Yaping Yang,Donna M. Muzny,Fan Xia,Zhiyv Niu,Richard E. Person,Yan Ding,Patricia A. Ward,Alicia Braxton,Min Wang,Christian J. Buhay,Narayanan Veeraraghavan,Alicia Hawes,Theodore Chiang,Magalie S. Leduc,Joke Beuten,Jing Zhang,Weimin He,Jennifer Scull,Alecia Willis,Megan Landsverk,William J. Craigen,Mir Reza Bekheirnia,Asbjørg Stray-Pedersen,Pengfei Liu,Shu Wen,Wendy Alcaraz,Hong Cui,Magdalena Walkiewicz,Jeffrey G. Reid,Matthew N. Bainbridge,Ankita Patel,Eric Boerwinkle,Eric Boerwinkle,Arthur L. Beaudet,James R. Lupski,Sharon E. Plon,Richard A. Gibbs,Christine M. Eng +37 more
TL;DR: Whole-exome sequencing provided a potential molecular diagnosis for 25% of a large cohort of patients referred for evaluation of suspected genetic conditions, including detection of rare genetic events and new mutations contributing to disease, and may offer advantages over traditional molecular diagnostic approaches in certain patients.
Journal ArticleDOI
FUSARIUM-ID v. 1.0: A DNA sequence database for identifying Fusarium
David M. Geiser,María del Mar Jiménez-Gasco,Seogchan Kang,Izabela Makalowska,Narayanan Veeraraghavan,Todd J. Ward,Ning Zhang,Gretchen A. Kuldau,Kerry O'Donnell +8 more
TL;DR: FUSARIUM-ID v. 1.0, a publicly available database of partial translation elongation factor 1-alpha (TEF) DNA sequences, presently representing a selected sample of the diversity of the genus diversity, with excellent representation of Type-B trichothecene toxin producers, and the Gibberella fujikuroi, Fusarium oxysporum and F. solani species complexes.
Journal ArticleDOI
A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples
Samia N. Naccache,Scot Federman,Narayanan Veeraraghavan,Matei Zaharia,Deanna Lee,Erik Samayoa,Jerome Bouquet,Alexander L. Greninger,Ka Cheung Luk,Barryett Enge,Debra A. Wadford,Sharon Messenger,Gillian Genrich,Kristen Pellegrino,Gilda Grard,Eric M. Leroy,Bradley S. Schneider,Joseph N. Fair,Miguel Ángel Martínez,Pavel Isa,John A. Crump,Joseph L. DeRisi,Taylor Sittler,John Hackett,Steve Miller,Charles Y. Chiu +25 more
TL;DR: SURPI is described, a computational pipeline for pathogen identification from complex metagenomic NGS data generated from clinical samples, and use of the pipeline is demonstrated in the analysis of 237 clinical samples comprising more than 1.1 billion sequences.
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Rapid whole-genome sequencing decreases infant morbidity and cost of hospitalization.
Lauge Farnaes,Lauge Farnaes,Amber Hildreth,Amber Hildreth,Nathaly M. Sweeney,Nathaly M. Sweeney,Michelle M. Clark,Shimul Chowdhury,Shareef Nahas,Julie A. Cakici,Wendy Benson,Robert H. Kaplan,Richard Kronick,Matthew N. Bainbridge,Jennifer Friedman,Jennifer Friedman,Jeffrey J. Gold,Jeffrey J. Gold,Yan Ding,Narayanan Veeraraghavan,David Dimmock,Stephen F. Kingsmore +21 more
TL;DR: A retrospective cohort study of acutely ill inpatient infants in a regional children’s hospital from July 2016-March 2017 reports improved outcomes and net healthcare savings, and suggests rapid sequencing should be more widely adopted for critically ill infants.
Journal ArticleDOI
Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline.
Jeffrey G. Reid,Andrew Carroll,Narayanan Veeraraghavan,Mahmoud Dahdouli,Andreas Sundquist,Adam C. English,Matthew N. Bainbridge,Simon D. M. White,William J Salerno,Christian J. Buhay,Fuli Yu,Donna M. Muzny,Richard Daly,Geoff Duyk,Richard A. Gibbs,Eric Boerwinkle,Eric Boerwinkle +16 more
TL;DR: The Mercury analysis pipeline is developed and deployed in local hardware and the Amazon Web Services cloud via the DNAnexus platform and provides accurate and reproducible genomic results at scales ranging from individuals to large cohorts.