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Media

Research

Collaborators

Serafim Batzoglou, Associate Professor, Computer Science Department, Stanford University The SFB group has been working with Prof. Serafim Batzoglou on genome-wide association studies. http://stanford.edu/group/biox/clark/batzoglou David Dill, Professor, Computer Science Department, Stanford University The SFB group has been working with Prof. David Dill on genome-wide association studies. https://profiles.stanford.edu/david-dill Jianhua Huang, Professor, Department of Statistics, Texas A&M The SFB group has been working with Prof. Jianhua Huang on protein structure sampling and non-negative

Software

Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link Software Link WaVPeak WaVPeak is a wavelet smoothing and volume filtering-based method for automatic peak picking in NMR spectra. The program below has three options for the denoising step: 1) wavelet denoising; 2) median-modifie-Wiener-filter (MMWF)-based denoising; and 3) MMWF*-based denoising, where MMWF* is a novel

Info

Contact Us

Xin Gao Program Chair, Computer Science Interim Director, Computational Bioscience Research Center Principal Investigator, Structural and Functional Bioinformatics Group Professor, Computer Science Structural and Functional Bioinformatics Group Dr. Xin Gao is a Professor of Computer Science, Interim Director of Computational Bioscience Research Center (CBRC), Deputy Director of Smart Health Initiative (SHI), Lead of the Structural and Functional Bioinformatics Group at KAUST, and a core member of the AI Initiative at KAUST. Prof. Gao's group works on the intersection between computer science

Join Us

Postdoctoral Positions in Bioinformatics and Computational Biology Two postdoc positions are available immediately in our group. Candidates with previous experience in some of the following areas are strongly encouraged to apply: structural biology systems biology, biological sequence analysis machine learning statistics. Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field is required. Successful candidates are expected to have a good publication record, self-motivation, and good command of English. Successful candidates will have opportunities to work on

Publications

Teaching

Teaching

Prof. Xin Gao has been teaching the following courses within Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division at KAUST: CS390A Special Topics: Probabilistic Graphical Models CS 220 Data Analytics AMCS221/CS221 Artificial Intelligence Recent lectures: Protein structure prediction, The 5th Canadian Student Conference on Biomedical Computing and Engineering. Enrolled students can access course material through KAUST's Blackboard via http://portal.kaust.edu.sa

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Structural and Functional Bioinformatics Research Group

Professor Xin Gao leads the so-called SFB research group, which stands for Structural and Functional Bioinformatics Research Group We are a group, led by Prof. Xin Gao, in Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) that focuses on bioinformatics, computational biology, machine learning, and big data. We are interested in building computational models, designing efficient and effective algorithms, and developing machine learning techniques to solve key open problems along the path from protein

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