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Dr. James Andrew Cuff | |
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Born | 1974 (age 47–48)[ citation needed ] |
Nationality | United Kingdom |
Citizenship | United States of America |
Alma mater | Christ Church, Oxford |
Spouse | Michele Clamp |
Scientific career | |
Fields | Molecular Biophysics High Performance Computing |
Institutions | MIT Harvard University Broad Institute European Bioinformatics Institute University of Oxford University of Manchester |
Thesis | Protein Structure Prediction (1999) |
Doctoral advisor | Geoffrey J. Barton [1] |
Website | Mastodon |
James Andrew Cuff, (born Preston, Lancashire) is a British biophysicist. Cuff has held leadership positions at MIT, Harvard University, the Broad Institute, The Wellcome Trust Sanger Institute and the European Bioinformatics Institute.
Cuff holds a PhD in Protein structure prediction [1] from the University of Oxford, and holds a Bachelor of Science in Chemistry from The University of Manchester.
Cuff's research investigates genomics, protein structure prediction, bioinformatics and High Performance Computing (HPC). [2] Cuff worked as a part of teams that completed the first simultaneous genome analysis of twenty nine mammals, [3] the refinement of the human gene count, [4] and the first bivalent chromatin structures to be found in embryonic stem cells. [5] In addition, Cuff has contributed to several large-scale bioinformatics and computational biology projects including Ensembl, [6] Jalview, [7] and the first online consensus secondary structure prediction algorithm JPred. [8] [9] He supported the resolution of the mouse, dog and monodelphis genomes [10] [11] [12] and the early ENCODE project. [13]
Based on early work with computer clusters, [14] Cuff has aided with the design and architecture of the Massachusetts Green High Performance Computing Center, a multimillion-dollar [15] data centre project between Harvard University, MIT, Boston University, Northeastern University, and University of Massachusetts. Cuff is also a co-developer on a popular open source authentication method called JAuth. [16] Cuff was a Principal Investigator for the National Institute of Mental Health funded Conte Center at Harvard, the National Science Foundation funded North East Storage Exchange, and their Advanced Cyberinfrastructre, Research and Educational Facilitation projects.
In 2017, Cuff retired early as the Assistant Dean and Distinguished Engineer for FAS Research Computing at Harvard University jointly with his spouse Michele Clamp, who was the then Director of Informatics in June 2017.
In 2022, Cuff returned from early retirement as the inaugural Executive Director of the new Office of Research Computing and Data [17] at MIT, continuing his earlier work [18] with the Massachusetts Green High Performance Computing Center.
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, chemistry, physics, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for in silico analyses of biological queries using computational and statistical techniques.
Jackals are medium-sized canids native to Africa and Eurasia. While the word "jackal" has historically been used for many canines of the subtribe canina, in modern use it most commonly refers to three species: the closely related black-backed jackal and side-striped jackal of sub-Saharan-Africa, and the golden jackal of south-central Europe and Asia. The African golden wolf was also formerly considered as a jackal.
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Burkhard Rost is a scientist leading the Department for Computational Biology & Bioinformatics at the Faculty of Informatics of the Technical University of Munich (TUM). Rost chairs the Study Section Bioinformatics Munich involving the TUM and the Ludwig Maximilian University of Munich (LMU) in Munich. From 2007-2014 Rost was President of the International Society for Computational Biology (ISCB).
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Non-coding RNAs have been discovered using both experimental and bioinformatic approaches. Bioinformatic approaches can be divided into three main categories. The first involves homology search, although these techniques are by definition unable to find new classes of ncRNAs. The second category includes algorithms designed to discover specific types of ncRNAs that have similar properties. Finally, some discovery methods are based on very general properties of RNA, and are thus able to discover entirely new kinds of ncRNAs.
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