Terms of Use Mona Singh is a professor of computer science and the Lewis Sigler Institute for Integrative Genomics. "Domain prediction with probabilistic directional context." Princeton computer science professors Michael Freedman and Mona Singh have been named fellows of the Association for Computing Machinery in recognition of their significant contribution to computing and information technology. © 2020 The Trustees of Princeton University. Beyond the E-Value: Stratified Statistics for Protein Domain Prediction. Download source code for use within the MUMmer 3 system. A systematic survey of the Cys2His2 zinc finger Using context to improve protein domain identification. She has pioneered interdisciplinary courses in the field of bioinformatics, the method by which computers are used to synthesize vast quantities of raw biological data. Join to Connect. are heavily mutated in three human cancer types. Since a genome contains a complete 'parts list' of an organism, whole-genome data allows one to begin to address exhaustively the problem of determining and predicting which proteins can interact with each other. Computational assessment of the cooperativity (Authors alphabetized.) Two critical positions in zinc finger domains membrane-fusion proteins: Visna virus, Towards predicting coiled-coil protein finger protein-DNA interfaces. Among other honors, he is a recipient of the 2018 ACM Grace Murray Hopper Award, a Presidential Early Career Award for Scientists and Engineers, a SIGCOMM Test of Time Award, and a Sloan Fellowship. directional context. PertInInt: An Integrative, Analytical Approach to Bonnie Berger and Mona Singh. Ancestor, A semidefinite approach to side-chain positioning orthologs contributes to regulatory network evolution. Pölsterl S, Singh M, Katouzian A, Navab N, Kastrati A, Ladic L, et al. phenotypic traits to genes, Predicting specificity in bZIP coiled-coil protein My group focuses on developing and applying computational techniques to problems in molecular biology. Systematic domain-based aggregation of protein Freedman, who received his doctorate in computer science from New York University, joined the Princeton faculty in 2007. "Differential allele specific expression uncovers breast cancer genes dysregulated by cis noncoding mutations." Thus far, much of our work on predicting protein structure and protein-protein interactions has focused on the coiled coil motif. Mona Singh Professor at Princeton University Greater New York City Area 256 connections. Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics. Our structural approach has been to focus on particular structural motifs that mediate protein-protein interactions, and to develop fast, computational methods both for recognizing these motifs within protein sequences as well as for predicting which of these sequences interact with each other. Such advances are at the heart of future technologies, including autonomous vehicles, robotics and natural language processing. Download source code. molBLOCKS: decomposing small molecule sets and uncovering enriched fragments. Thus, we simplify the problem of predicting protein-protein interactions in two complementary ways, one structural and the other genomic. Forward-Thinking Idea: Howard’s program provides technical assistance to support state efforts to enhance the value of health care by improving population health and reforming the delivery of health care services. over deep time: Inferred order of introduction of amino acids into the Forward-Thinking Idea: Relying on the ethnographic techniques of a social and cultural anthropologist,  Beliso-De Jesús believes that a key to understanding how different stakeholders grapple with national debates about community policing, in both a domestic and transnational context, lies at the intersection of religious practice, racialization, and law enforcement practices. Forward-Thinking Idea: Working at the intersection of data science and molecular biology, Singh develops algorithms to decode genomes at the level of proteins. Pervasive variation of transcription factor orthologs contributes to regulatory network evolution. Differential analysis between somatic mutation PubMed | Histidine Kinase Program Webpage. Evaluate a C2H2 zinc finger transcription factor for binding to a DNA sequence. Predicting C2H2 DNA binding sites. Among her awards are the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2001, and the Rheinstein Junior Faculty Award from Princeton’s School of Engineering and Applied Science in 2003. Interests: Computational molecular biology, as well as its interface with machine learning and algorithms. The coiled coil is a common and important structural motif that mediates protein-protein interactions, and is found in proteins involved in transcription, in cell-cell and viral-cell fusion events, and in maintaining the structural identity of cells. reveals cancer genes. experimental conditions. Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities, uKIN Combines New and Prior Information with Guided Network the network properties of disease genes. Our genomic approach has been to exploit and integrate information gleaned from whole- and cross- genome analysis. CCAT: Combinatorial code analysis tool for Site Map, Ph.D., Massachusetts Institute of Technology, 1995. the Drosophila Cutoff protein in non-coding RNA biogenesis and gene Network-based coverage of mutational profiles SPICi: a fast clustering algorithm for PubMed. coiled-coil-like motifs in many viral membrane-fusion proteins, Computational learning reveals coiled coil-like Sci. She works broadly in computational molecular biology, as well as its interface with machine learning and algorithms. respiratory syncytial virus fusion protein core, LearnCoil-VMF: Computational evidence for ACM Fellow, 2019. A. Ochoa and M. Singh. There are no upcoming events scheduled at this time. As our world has been turned upside down by the Coronavirus, researchers in a variety of disciplines talk about how their research and approaches have pivoted to address this specific challenge to humanity. Office: 420 Computer Science Building Phone: 609-258-2087 Research Interests: Computational biology and bioinformatics; computational science Biol (1997) 4:261–273. composition and its application to proteins of the Last Universal and germline variation profiles reveals cancer-related genes. B. Hristov, B. Chazelle and M. Singh. Declaring Computer Science for AB Students, Declaring Computer Science for BSE Students, Independent Work Seminar Offerings - Spring 2021, DataX – advancing the frontiers of computer vision and natural language processing, Goodridge’s Legacy Helps Liberate Faculty, Enable Students. J. Comput. Overview; Fingerprint; Network; Projects (11) Research Output (83) If you made any changes in Pure these will be visible here soon. sequence conservation, A combinatorial optimization approach for diverse Two critical positions in zinc finger domains are heavily mutated in three human cancer types. As the pace of data creation and collection continues to accelerate, professors in a variety of disciplines talk about both the power and potential perils of artificial intelligence and what limitations and safeguards we need to take into account moving forward. be used to predict functional modules and protein function? Professor of Politics and International Affairs, Forward-Thinking Idea: An expert in conflict, economic development, and security policy, Shapiro has turned his eye toward online foreign influence efforts — efforts coordinated by one state to affect a specific aspect of politics in another, such as using social media, and including with content intended to appear to be made in the target count, Eugene Higgins Professor of Computer Science. Senior Research Scholar and Lecturer at the Princeton Environmental Institute; Director of the Center for Disease Dynamics, Economics & Policy in Washington, D.C., and a voting member of the U.S. Presidential Advisory Council on Combating Antimicrobial Resistance.