Author

Kyle S. Smith

Rutgers, The State University of New JerseyORCID 0000-0001-7143-7996Unclaimed ORCID profile · follow to get notified of new preprints

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Kyle S. Smith1 paper

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Debashis GhoshiD· 1 shared Katherine S. PollardiD· 1 shared Subhajyoti DeiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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Debashis GhoshORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 16, 2017

A computational framework for detecting signatures of accelerated somatic evolution in cancer genomes

Kyle S. Smith, Debashis Ghosh, Katherine S. Pollard, Subhajyoti De

The paper introduces SASE-mapper to detect accelerated somatic evolution in cancer genomes and finds recurrent SASE in regulatory regions across multiple cohorts.

DOI 10.1101/177261

humanwhole-genome sequencing

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