Author

Michael Snyder

University of Florida

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 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Assay:whole-exome sequencing· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Somalee Datta· 2 shared Alicia R Martin· 1 shared Brenna M. HenniD· 1 shared Brian K Maples· 1 shared Carlos D Bustamante· 1 shared Charles F. BaeriD· 1 shared Cuiping Pan· 1 shared Gregory McInnes· 1 shared

Activity by Year

2015-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Somalee Datta

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Mutation, selection, and the prevalence of the C. elegans mortal germline phenotype

Sayran Saber, Michael Snyder, Moein Rajaei, Charles F. Baer

The paper quantifies mutation rates and selection pressures for the Mrt phenotype in C. elegans, suggesting balancing selection maintains weak Mrt variants.

G3 Genes Genomes Genetics · Mar 21, 2022Peer-reviewedGenetics

Interactive Analytics for Very Large Scale Genomic Data

Cuiping Pan, Nicole Deflaux, Gregory McInnes, Michael Snyder, Jonathan Bingham, Somalee Datta, Philip Tsao

The paper presents an interactive analytics framework for large-scale genomic data using cloud infrastructure and Dremel, enabling faster analysis and retrieval of biological information.

bioRxiv · Dec 24, 2015

Practical Guidelines for Secure Cloud Computing using Genomic Data

Somalee Datta, Keith Bettinger, Michael Snyder

The paper discusses cloud security challenges for genomic data and highlights the need for secure practices in large-scale genomics studies.

bioRxiv · Dec 20, 2015Bioinformatics

Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes

Brenna M. Henn, Laura R Botigue, Stephan Peischl, Isabelle Dupanloup, Mikhail Lipatov, Brian K Maples, Alicia R Martin, Shaila Musharoff, Howard Cann, Michael Snyder, Laurent Excoffier, Jeffrey Kidd, Carlos D Bustamante

The paper examines how distance from Sub-Saharan Africa correlates with mutational load in diverse human populations, finding that populations further from Africa have higher mutation loads due to recessive mutations.

bioRxiv · Oct 23, 2015Genomics