Author

Michael Wigler

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· 3 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:experimental assay· 3 Research Focus:variant calling· 3 Assay:whole-exome sequencing· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Ivan Iossifov· 3 shared Zihua Wang· 3 shared Dan Levy· 2 shared Giuseppe NarzisiiD· 2 shared Han FangiD· 2 shared Jude Kendall· 2 shared Yiyang Wu· 2 shared Yoon-ha Lee· 2 shared

Activity by Year

2014-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersBioinformatics

Ivan Iossifov

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

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

MUMdex: MUM-based structural variation detection

Peter A. Andrews, Ivan Iossifov, Jude Kendall, Steven Marks, Lakshmi Muthuswamy, Zihua Wang, Dan Levy, Michael Wigler

MUMdex detects structural variations by analyzing maximal unique matches, demonstrating accuracy in simulated and real human genome data.

bioRxiv · Sep 30, 2016 · PreprintGenomics

Simple genetic models for autism spectrum disorder

Swagatam Mukhopadhyay, Michael Wigler, Dan Levy

This paper develops a simple genetic model for autism spectrum disorder that matches epidemiological and genomic data, making testable predictions about mutation incidence and gender bias.

bioRxiv · Mar 30, 2015 · PreprintGenetics

Interactive analysis and quality assessment of single-cell copy-number variations

Tyler Garvin, Robert Aboukhalil, Jude Kendall, Timour Baslan, Gurinder S Atwal, James Hicks, Michael Wigler, Michael Schatz

The paper introduces Ginkgo, a web platform for analyzing and assessing single-cell copy-number variations, and validates it by reproducing results from five studies.

bioRxiv · Mar 6, 2015Bioinformatics

Accurate detection of de novo and transmitted INDELs within exome-capture data using micro-assembly

Giuseppe Narzisi, Jason A O'Rawe, Ivan Iossifov, Han Fang, Yoon-ha Lee, Zihua Wang, Yiyang Wu, Gholson J Lyon, Michael Wigler, Michael C Schatz

Scalpel detects de novo and transmitted INDELs in exome data with high specificity and sensitivity, outperforming existing tools in challenging repeat regions and identifying new autism-related genes.

Nature Methods · Aug 17, 2014Peer-reviewedBioinformatics