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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Sahraeian SME, Liu R, Lau B, et al. (2019) Deep convolutional neural networks for accurate somatic mutation detection. Nature Communications. 10: 1041
Bhattacharya S, Li J, Sockell A, et al. (2018) Whole-genome sequencing of Atacama skeleton shows novel mutations linked with dysplasia. Genome Research
Møller HD, Mohiyuddin M, Prada-Luengo I, et al. (2018) Circular DNA elements of chromosomal origin are common in healthy human somatic tissue. Nature Communications. 9: 1069
Sahraeian SME, Mohiyuddin M, Sebra R, et al. (2017) Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis. Nature Communications. 8: 59
Lau B, Mohiyuddin M, Mu JC, et al. (2016) LongISLND: In silico Sequencing of Lengthy and Noisy Datatypes. Bioinformatics (Oxford, England)
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
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