Hugo Y. Lam, Ph.D.

Affiliations: 
Yale University, New Haven, CT 
Area:
Computational Biology and Bioinformatics
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"Hugo Lam"

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Mark B. Gerstein grad student 2010 Yale
 (Computational analysis on genomic variation: Detecting and characterizing structural variants in the human genome.)
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Publications

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Yao L, Mohiyuddin M, Lam H. (2019) Abstract LB-213: ecTMB: A robust method to estimate and classify tumor mutational burden Cancer Research. 79
Fang LT, Mohiyuddin M, Fu Y, et al. (2017) Abstract 386: OnkoInsight: an end-to-end cancer informatics pipeline to generate insights from large sequencing datasets Cancer Research. 77: 386-386
Parikh H, Mohiyuddin M, Lam HY, et al. (2016) svclassify: a method to establish benchmark structural variant calls. Bmc Genomics. 17: 64
Sudmant PH, Rausch T, Gardner EJ, et al. (2015) An integrated map of structural variation in 2,504 human genomes. Nature. 526: 75-81
Mu JC, Tootoonchi Afshar P, Mohiyuddin M, et al. (2015) Leveraging long read sequencing from a single individual to provide a comprehensive resource for benchmarking variant calling methods. Scientific Reports. 5: 14493
Fang LT, Afshar PT, Chhibber A, et al. (2015) An ensemble approach to accurately detect somatic mutations using SomaticSeq. Genome Biology. 16: 197
Abyzov A, Li S, Kim DR, et al. (2015) Erratum: Analysis of deletion breakpoints from 1,092 humans reveals details of mutation mechanisms. Nature Communications. 6: 8389
Abyzov A, Li S, Kim DR, et al. (2015) Analysis of deletion breakpoints from 1,092 humans reveals details of mutation mechanisms. Nature Communications. 6: 7256
Mohiyuddin M, Mu JC, Li J, et al. (2015) MetaSV: an accurate and integrative structural-variant caller for next generation sequencing. Bioinformatics (Oxford, England)
Mu JC, Mohiyuddin M, Li J, et al. (2015) VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications. Bioinformatics (Oxford, England). 31: 1469-71
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