Michael Wigler

Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 
Cancer, Molecular Biology
"Michael Wigler"
Mean distance: 13.72 (cluster 11)
Cross-listing: Neurotree


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Richard Axel grad student CSHL (Neurotree)
I. Bernard Weinstein research scientist Columbia (Neurotree)


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takashi toda grad student (PombeTree)
Javor P. Stolarov grad student 2000 Columbia (Neurotree)
Mitchell Goldfarb post-doc (Neurotree)
Elizabeth Jane Taparowsky post-doc 1981-1984 CSHL
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Wang Z, Andrews P, Kendall J, et al. (2016) SMASH, a fragmentation and sequencing method for genomic copy number analysis. Genome Research
Iossifov I, Levy D, Allen J, et al. (2015) Low load for disruptive mutations in autism genes and their biased transmission. Proceedings of the National Academy of Sciences of the United States of America
Garvin T, Aboukhalil R, Kendall J, et al. (2015) Interactive analysis and assessment of single-cell copy-number variations. Nature Methods. 12: 1058-60
Baslan T, Kendall J, Ward B, et al. (2015) Optimizing sparse sequencing of single cells for highly multiplex copy number profiling. Genome Research. 25: 714-24
Jayaprakash AD, Benson EK, Gone S, et al. (2015) Stable heteroplasmy at the single-cell level is facilitated by intercellular exchange of mtDNA. Nucleic Acids Research. 43: 2177-87
Rye IH, Lundin P, Månér S, et al. (2015) Quantitative multigene FISH on breast carcinomas identifies der(1;16)(q10;p10) as an early event in luminal A tumors. Genes, Chromosomes & Cancer. 54: 235-48
Iossifov I, O'Roak BJ, Sanders SJ, et al. (2014) The contribution of de novo coding mutations to autism spectrum disorder. Nature. 515: 216-21
Levy D, Wigler M. (2014) Facilitated sequence counting and assembly by template mutagenesis. Proceedings of the National Academy of Sciences of the United States of America. 111: E4632-7
Narzisi G, O'Rawe JA, Iossifov I, et al. (2014) Accurate de novo and transmitted indel detection in exome-capture data using microassembly. Nature Methods. 11: 1033-6
Dago AE, Stepansky A, Carlsson A, et al. (2014) Rapid phenotypic and genomic change in response to therapeutic pressure in prostate cancer inferred by high content analysis of single circulating tumor cells. Plos One. 9: e101777
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