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  1. compbio.mit.eduKellis Lab

    Lab Head - Manolis Kellis. Professor of Computer Science Karl Van Tassel Career Development Chair. Presidential Early Career Award in Science and Engineering ... 32 Vassar St, Cambridge, MA 02139 Administrative team: kellis-admin@mit.edu D528 (Regulation Office): 617-253-6079 D526 (GWAS office): 617-715-4881 D524 (Manolis office): 617-253-2419 D516 (Networks office): 617-253-8170 D514 (QTL office): 617-324-8406 D512 (RNA/Epigenomics Office): 617-324-8439 D510 (Evolution office): 617-253-3434 ...

  2. Manolis Kellis, Ph.D. Professor, Computer Science, MIT Head, MIT Computational Biology Group Associate Member, Broad Institute of MIT and Harvard Principal Investigator, Computer Science and Artificial Intelligence Lab Stata Center - 32D.524 - 617.253.2419 Awards: - US Presidential Early Career Award ()- Alfred P. Sloan Foundation Award - National Science Foundation CAREER Award - AIT Niki Award for Science and Engineering - Technology Review TR35 Top Young Innovators - Ruth and Joel Spira ...

  3. Manolis Kellis (Greek: Μανώλης Καμβυσέλλης; 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 ...

  4. Manolis Kellis. Professor of Computer Science, MIT and Broad Institute. Verified email at mit.edu - Homepage. Computer Science Machine Learning Computational Biology Genomics Biology. Articles Cited by Public access Co-authors. Title. ... M Kellis, N Patterson, M Endrizzi, B Birren, ES Lander. Nature 423 (6937), 241-254, 2003. 2206: 2003: The system can't perform the operation now. Try again later.

  5. Manolis Kellis is a Professor of Computer Science at MIT, a member of the Broad Institute of MIT and Harvard, and a member of the Computer Science and Artificial Intelligence Lab at MIT where he ...

  6. www.csail.mit.edu › person › manolis-kellisManolis Kellis | MIT CSAIL

    Apr 14, 2020 · Manolis Kellis . Manolis Kellis. News. AI & ML Computational Biology Big Data Health Care. May 29 '24. Unlocking new predictive powers in personalized genetic risk forecasts. MIT CSAIL and University of Tokyo researchers present GenoBoost, a polygenic scoring approach that accounts for both additive and non-additive genetic dominance effects in individuals’ health data.

  7. Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.

  8. Manolis Kellis, Nick Patterson, Bruce Birren, Bonnie Berger, Eric Lander Journal of Computational Biology 2004; 11 pp. 319-55. . Whole-genome comparative annotation and motif discovery in yeast. Manolis Kellis (Kamvysselis), Nick Patterson, Bruce Birren, Bonnie Berger, Eric Lander ACM Recomb '03 Proceedings . Phylogenetically and spatially conserved word pairs associated with gene-expression changes in yeasts.

  9. csbphd.mit.edu › faculty › manolis-kellisManolis Kellis | csbphd

    Manolis Kellis. Faculty Title: Professor of Computer Science Head, MIT Computational Biology Group Institute Member, Broad Institute of MIT and Harvard Member, MIT Computer Science and Artificial Intelligence Lab Department: Electrical Engineering and Computer Science (EECS) Room: 32-524. Phone Number: (617) 253-2419. Email: manoli@mit.edu. CSAIL Website. Compbio Website. Lab Website. ...

  10. Manolis Kellis, Nick Patterson, Matt Endrizzi, Bruce Birren, Eric Lander Nature 2003 May 15; 423 pp. 241-254 (Nature website) (Supplementary Information) Transcriptional regulatory code of a eukaryotic genome. Chris Harbison et al. Nature 2004 Sep 2; 431 pp. 99-104 (Nature website) (Supplementary Information) Genome duplication in the teleost fish Tetraodon nigrovidridis reveals the early vertebrate proto-karyotype.

  11. MIT Professor Manolis Kellis argues that humanity can do better, and has already switched from ‘vertical’ to ‘horizontal’ evolution, with the spreading of ideas, wealth, and diversity across the globe, leading to exponential technological advances. He presents a vision for transforming medicine and reverse human disease, by understanding the wiring of the human genome, revealing the causal hallmarks of different disorders, and therapeutically targeting their unique combinations in ...

  12. Manolis Kellis is a Full Professor of Computer Science and Artificial Intelligence at MIT, a member of the Computer Science and Artificial Intelligence Laboratory and of the Broad Institute of MIT and Harvard, where he directs the MIT Computational Biology Group (compbio.mit.edu). His group has recently been funded to lead the integrative analysis efforts of the modENCODE project for Drosophila melanogaster, and also for integrative analysis of the NIH Epigenome Roadmap Project. ...

  13. I am a professor at MIT in Computer Science. My research focuses on Computational Biology. You can find all my videos here: http://compbio.mit.edu/videos.htm...

  14. Manolis Kellis on Dissecting the circuitry of human disease at single-cell resolution - Athens Science Festival (1h00 - March 29, 2021), Link; Manolis Kellis on Single-cell dissection and manipulation of disease circuitry - Mendel Lectures (1h07 - May 2, 2019), Link; Manolis Kellis on Single-cell dissection and manipulation of disease circuitry - Purchase University (1h52 - February 9, 2019), Link;

  15. Manolis Kellis obtained his PhD from MIT where he received the Sprowls award for the best doctorate thesis in computer science and the first Paris Kanellakis graduate fellowship. Kellis is also an Associate Professor of Computer Science at MIT, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and of the Broad Institute of MIT and Harvard, where he directs the MIT Computational Biology Group. He has received a number of awards including: the US Presidential ...

  16. Manolis Kellis – Page 1/4 Manolis Kellis (Kamvysselis) MIT Center for Genome Research 320 Charles St. NE125-2164 Cambridge MA 02142 Phone: (617) 452-2274 Fax: (617) 258-0903 web.mit.edu/manoli manoli@mit.edu RESEARCH GOALS I am interested in applying computational methods to understanding biological signals. My sp ecific interests are: (1) in the

  17. Manolis Kellis is a Professor of Computer Science at MIT, a member of the Broad Institute… · Experience: Massachusetts Institute of Technology (MIT) · Education: MIT · Location: Boston · 500 ...

  18. Manolis Kellis. Professor, MIT Department of Computer Science Head MIT Computational Biology group Associate Member Broad Institute of MIT and Harvard Member MIT Computer Science and Artificial Intelligence Lab. Staff. Amy Grayson. Project Manager MIT Computer Science Broad Institute. Kyriakitsa Galani. Li-Lun Ho. Staff Research Scientist. Maya Sekhar. Technical Associate. Nicola Sykes. Project Manager. Patty Purcell.

  19. Jul 31, 2020 · Manolis Kellis is a professor at MIT and head of the MIT Computational Biology Group. He is interested in understanding the human genome from a computational...

  20. Manolis Kellis. This course covers the algorithmic foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, analyze influential algorithms, and apply these to real datasets. Topics include: biological sequence analysis, gene finding, motif discovery, RNA folding, global and local sequence alignment, genome assembly, comparative genomics, genome duplication, genome rearrangements, evolutionary theory, gene ...

  21. Manolis Kellis (manoli@mit.edu): M 5-6pm Zheng Dai, Dylan Cable: Tues 4-5pm Jackie Valeri, Tessa Gustafson: Wed 7-8pm Grading. Grading will be based upon five programming-intensive problem sets (30%), a quiz (25%), a project (35%), and participation plus one day of lecture scribing (10%). Attendance in lecture is important as the class moves quickly and you will need to be present. For students enrolled in one of the graduate versions of this class (6.874, 20.490, and HST.506) there will be ...

  22. Manolis Kellis Professor, MIT Computer Science and Artificial Intelligence Lab Institute Member, Broad Institute of MIT and Harvard Ernest Fraenkel Professor, Biological Engineering Associate Member, Broad InstituteJuan Caicedo Schmidt Fellow, Broad Institute Caroline Uhler Associate Professor, Electrical Engineering and Computer Science and Institute for Data, Systems and Society

  23. Professional Statement of Manolis Kellis 2 chromatin state function, revealing diverse classes of enhancers, promoters, and insulators, which we used to discover new functional elements, to study . chromatin dynamics. across cell types and development, and to reveal motifs and regulators governing epigenetic changes in development,