Author

Julie Rosenbaum

Cold Spring Harbor Laboratory

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· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 3 Assay:whole-genome sequencing· 3 Approach:experimental assay· 2 Organism:human· 2 Assay:whole-exome sequencing· 2 Research Focus:genome assembly· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Michael RonemusiD· 3 shared Gholson J. LyoniD· 2 shared Giuseppe NarzisiiD· 2 shared Han FangiD· 2 shared Ivan Iossifov· 2 shared Michael C. SchatziD· 2 shared Yiyang Wu· 2 shared Zihua Wang· 2 shared

Activity by Year

2014-2017 · peak 1/yr

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10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Michael RonemusORCID

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3 papers

Recent·Most cited

Mutational sequencing for accurate count and long-range assembly

Vijay Kumar, Julie Rosenbaum, Zihua Wang, Talitha Forcier, Michael Ronemus, Michael H. Wigler, Dan Levy

The paper introduces muSeq, a protocol that uses mutational sequencing to improve count accuracy and long-range assembly from short-read data.

bioRxiv · Jun 13, 2017 · PreprintGenomics

Indel variant analysis of short-read sequencing data with Scalpel

Han Fang, Ewa A. Grabowska, Kanika Arora, Vladimir Vacic, Michael C. Zody, Ivan Iossifov, Jason A. ORawe, Yiyang Wu, Laura T Jimenez Barron, Julie Rosenbaum, Michael Ronemus, Yoon-ha Lee, Zihua Wang, Gholson J. Lyon, Michael Wigler, , Giuseppe Narzisi

This paper introduces Scalpel, an open-source tool for accurate indel detection from short-read sequencing data, and demonstrates its application in various analysis modes.

Nature Protocols · Nov 17, 2016Peer-reviewedBioinformatics

Reducing INDEL calling errors in whole-genome and exome sequencing data

Han Fang, Yiyang Wu, Giuseppe Narzisi, Jason A. O'Rawe, Laura T. Jimenez Barrón, Julie Rosenbaum, Michael Ronemus, Ivan Iossifov, Michael C. Schatz, Gholson J. Lyon

This study identifies sources of INDEL calling errors in sequencing data and shows that whole-genome sequencing (WGS) outperforms whole-exome sequencing (WES) in accuracy and sensitivity for detecting INDELs.

bioRxiv · Sep 17, 2014Bioinformatics