Manolis Kellis

Manolis Kellis at the [[American Society of Human Genetics]] (ASHG) meeting in Orlando Florida on October 19, 2017 Manolis Kellis (; born 1977) is a professor of Computer Science and Computational Biology at the Massachusetts Institute of Technology (MIT) and a member of the Broad Institute of MIT and Harvard. He is the head of the Computational Biology Group at MIT and is a Principal Investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT.

Kellis is known for his contributions to genomics, human genetics, epigenomics, gene regulation, genome evolution, disease mechanism, and single-cell genomics. He co-led the NIH Roadmap Epigenomics Project effort to create a comprehensive map of the human epigenome, the comparative analysis of 29 mammals to create a comprehensive map of conserved elements in the human genome, the ENCODE, GENCODE, and modENCODE projects to characterize the genes, non-coding elements, and circuits of the human genome and model organisms. A major focus of his work is understanding the effects of genetic variations on human disease, with contributions to obesity, diabetes, Alzheimer's disease, schizophrenia, and cancer. Provided by Wikipedia
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  1. 1
    SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes
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    A multiresolution framework to characterize single-cell state landscapes
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    NEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data
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    Multi-scale chromatin state annotation using a hierarchical hidden Markov model
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    Improved haplotype inference by exploiting long-range linking and allelic imbalance in RNA-seq datasets
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    High-resolution genome-wide functional dissection of transcriptional regulatory regions and nucleotides in human
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    High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies
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    Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration
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    A high-throughput screening and computation platform for identifying synthetic promoters with enhanced cell-state specificity (SPECS)
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    Inferring multimodal latent topics from electronic health records
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    Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries
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    Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries
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    Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
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    Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries
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  15. 15
    Common variants at 9p21 and 8q22 are associated with increased susceptibility to optic nerve degeneration in glaucoma.
    by Janey L Wiggs, Brian L Yaspan, Michael A Hauser, Jae H Kang, R Rand Allingham, Lana M Olson, Wael Abdrabou, Bao J Fan, Dan Y Wang, Wendy Brodeur, Donald L Budenz, Joseph Caprioli, Andrew Crenshaw, Kristy Crooks, Elizabeth Delbono, Kimberly F Doheny, David S Friedman, Douglas Gaasterland, Terry Gaasterland, Cathy Laurie, Richard K Lee, Paul R Lichter, Stephanie Loomis, Yutao Liu, Felipe A Medeiros, Cathy McCarty, Daniel Mirel, Sayoko E Moroi, David C Musch, Anthony Realini, Frank W Rozsa, Joel S Schuman, Kathleen Scott, Kuldev Singh, Joshua D Stein, Edward H Trager, Paul Vanveldhuisen, Douglas Vollrath, Gadi Wollstein, Sachiko Yoneyama, Kang Zhang, Robert N Weinreb, Jason Ernst, Manolis Kellis, Tomohiro Masuda, Don Zack, Julia E Richards, Margaret Pericak-Vance, Louis R Pasquale, Jonathan L Haines
    Published 2012
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