Author

Carolyn M. Hutter

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Brian D. O’ConnoriD· 2 shared Kyle EllrottiD· 2 shared Robert L. GrossmaniD· 2 shared Adam P. Butler· 1 shared Alessandro CulottiiD· 1 shared Alex Buchanan· 1 shared Alexander Baumann· 1 shared Alexander OstrovskyiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Brian D. O’ConnorORCID

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2 papers

Recent·Most cited

BioinformaticsCell GenomicsPeer-reviewedJan 1, 2022

Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)

Michael C. Schatz, Anthony Philippakis, Enis Afgan…·Jason Walker

The paper describes AnVIL, a cloud-based platform that enables genomic data analysis without data transfer, improving security, scalability, and collaboration.

144 citationstop 1%

experimental assaydatabase / resource

𝕏 PostBluesky

GenomicsbioRxivPreprintJul 10, 2017

Large-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing Environments

Christina K. Yung, Brian D. O’Connor, Sergei Yakneen…·Charles L. Short

The paper describes the PCAWG project's large-scale analysis of cancer whole genomes across multiple computing environments, producing validated consensus variants for downstream research.

28 citations

humanwhole-genome sequencing

𝕏 PostBluesky