Author

Mikhail Lipatov

Stony Brook UniversityORCID 0000-0001-9939-1758Unclaimed ORCID profile · follow to get notified of new preprints

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Mikhail Lipatov1 paper

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Brenna M. HenniD· 2 shared Adam AutoniD· 1 shared Alicia R Martin· 1 shared Brian K Maples· 1 shared Carlos D Bustamante· 1 shared Dean BoboiD· 1 shared Howard Cann· 1 shared Isabelle DupanloupiD· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Brenna M. HennORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 18, 2016

False Negatives Are a Significant Feature of Next Generation Sequencing Callsets

Dean Bobo, Mikhail Lipatov, Juan L. Rodríguez-Flores…·Brenna M. Henn

The paper quantifies false negative rates in NGS data and introduces a tool to assess them, showing significant FN rates even in high-coverage datasets.

14 citations

humanwhole-genome sequencing

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GenomicsbioRxivOct 23, 2015

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

Brenna M. Henn, Laura R Botigue, Stephan Peischl…·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.

DOI 10.1073/pnas.1510805112

humanwhole-exome sequencing

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