Author

Jennifer Shelton

New York Genome CenterPrimary ORCID profile (0000-0003-1429-6845 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Jennifer SheltoniD1 paper · Centre for Human Genetics

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Kanika S. AroraiD· 2 shared Michael C. ZodyiD· 2 shared Minita J. Shah· 2 shared André CorveloiD· 1 shared Dayna M. Oschwald· 1 shared Giuseppe NarzisiiD· 1 shared Jade CarteriD· 1 shared Kshithija Nagulapalli· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Kanika S. AroraORCID

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2 papers

Recent·Most cited

Somatic variant analysis of linked-reads sequencing data with Lancet

Rajeeva Musunuri, Kanika S. Arora, André Corvelo, Minita J. Shah, Jennifer Shelton, Michael C. Zody, Giuseppe Narzisi

The paper introduces an updated version of the Lancet somatic variant caller that supports linked-reads sequencing data analysis by integrating barcodes and haplotype read assignments.

Bioinformatics · Oct 2, 2020Peer-reviewedBioinformatics

Deep sequencing of 3 cancer cell lines on 2 sequencing platforms

Kanika S. Arora, Minita J. Shah, Molly E. Johnson, Rashesh Sanghvi, Jennifer Shelton, Kshithija Nagulapalli, Dayna M. Oschwald, Michael C. Zody, Søren Germer, Vaidehi Jobanputra, Jade Carter, Nicolas Robine

The paper benchmarks a new sequencing platform and develops a somatic calling pipeline using deep sequencing of cancer cell lines on two platforms.

Scientific Reports · Dec 13, 2019Peer-reviewedGenomics