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Mark B. Gerstein

Affiliations: 
Molecular Biophysics and Biochemistry Yale University, New Haven, CT 
Area:
Computational Biology and Bioinformatics
Website:
https://sites.gersteinlab.org/research/
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"Mark Gerstein"
Bio:

http://www.gersteinlab.org/

Cross-listing: Chemistry Tree

Parents

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Cyrus H. Chothia grad student 1993 Cambridge
Ruth M. Lynden-Bell grad student 1993 Cambridge (Chemistry Tree)
 (Protein recognition: surfaces and conformational change)
Michael Levitt post-doc 1993-1996 Stanford

Children

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Paul Bertone grad student Cambridge
Donghoon Lee grad student Yale
Werner G. Krebs grad student 1996-2001 Yale
Ronald Jansen grad student 2002 Yale
Rajdeep Das grad student 2003 Yale
Vadim Alexandrov grad student 2004 Yale
Dov Greenbaum grad student 2004 Yale
Haiyuan Yu grad student 2005 Yale
Thomas E. Royce grad student 2007 Yale
Michael R. Seringhaus grad student 2007 Yale
Samuel C. Flores grad student 2008 Yale
Tara A. Gianoulis grad student 2009 Yale
Yuk L. Yip grad student 2009 Yale
Jiang Du grad student 2010 Yale
Hugo Y. Lam grad student 2010 Yale
Prianka Patel grad student 2010 Yale
Chong Shou grad student 2011 Yale
Raymond K. Auerbach grad student 2012 Yale
Lukas Habegger grad student 2012 Yale
Xinmeng Mu grad student 2012 Yale
Jieming Chen grad student 2010-2016
Yu Xia post-doc Yale
Gamze Gursoy post-doc 2016- Yale (BME Tree)
Xiangmeng Kong post-doc 2017- Yale (Chemistry Tree)
ZhaoLei Zhang post-doc 2001-2004 Yale (Chemistry Tree)
Alberto Paccanaro post-doc 2003-2006 Yale (Neurotree)
Jan O. Korbel post-doc 2005-2007 European Molecular Biology Laboratory (EMBL)
Yan Zhang post-doc 2012-2016 Yale (Chemistry Tree)
Xu Shi post-doc 2017-2019 Yale

Collaborators

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Diego Ariel Galeano collaborator (Neurotree)
BETA: Related publications

Publications

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Emani PS, Geradi MN, Gürsoy G, et al. (2023) Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databases. Genome Research. 33: 2156-73
Greenbaum D, Gerstein M. (2023) Resisting efficiency's overreach Riverhead Books, 2023. 256 pp. Science (New York, N.Y.). 381: 1162
Greenbaum D, Gerstein M. (2023) Calculating the future Doubleday, 2023. 352 pp. Science (New York, N.Y.). 380: 589
Rozowsky J, Gao J, Borsari B, et al. (2023) The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models. Cell. 186: 1493-1511.e40
Rodriguez-Martin B, Alvarez EG, Baez-Ortega A, et al. (2023) Author Correction: Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition. Nature Genetics
Sarkar E, Chielle E, Gursoy G, et al. (2023) Privacy-preserving cancer type prediction with homomorphic encryption. Scientific Reports. 13: 1661
Rheinbay E, Nielsen MM, Abascal F, et al. (2023) Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature
Chen Z, Zhang B, Guo H, et al. (2023) Binding Peptide Generation for MHC Class I Proteins with Deep Reinforcement Learning. Bioinformatics (Oxford, England)
Erwin GS, Gürsoy G, Al-Abri R, et al. (2022) Recurrent repeat expansions in human cancer genomes. Nature. 613: 96-102
Greenbaum D, Gerstein M. (2022) GATTACA is still pertinent 25 years later. Nature Genetics
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