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Computational Systems Biology | compbio.soihub.org Reviews
https://compbio.soihub.org
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compbio.soihub.org
Computational Systems Biology
https://compbio.soihub.org/projects/ttsn
Tissue-Tissue Similarity Network (TTSN):. A New Perspective on the Tissue-Selectivity of the Human Transcriptome. Shahin Mohammadi and Ananth Grama. We propose a novel statistical approach for constructing a network of tissue-tissue similarities. We utilize this network as a refined prior for a new method aimed at identification of tissue-selective functions and their corresponding genes. Using a case study of brain tissues, we show that our approach significantly outperforms state-of-the-art met...
Computational Systems Biology
https://compbio.soihub.org/projects/torc1
Inferring the Effective TOR-Dependent Network: A Computational Study in Yeast. Shahin Mohammadi, Shankar Subramaniam, and Ananth Grama. Our approach, unlike experimental methods, is not limited to specific aspects of cellular response. Rather, it predicts transcriptional changes and post-translational modifications in response to TOR inhibition. The constructed effective response network greatly enhances understanding of the mechanisms underlying the aging process and helps in identifying new tar...Ackno...
Computational Systems Biology
https://compbio.soihub.org/publications.php
Please login to view:. If you would like to login and you do not already have an account please contact csb@soihub.org. Acknowledgements: This work was supported by NSF Grant DBI 0835677 and by the Center for Science of Information.
Computational Systems Biology
https://compbio.soihub.org/open-positions.php
There are currently openings in our group for outstanding postdoctoral fellows, staff programmers, graduate students or undergraduate students with strong background in biology, computer science and statistics. If you are interested to apply, please send your CV to csb@soihub.org. Acknowledgements: This work was supported by NSF Grant DBI 0835677 and by the Center for Science of Information.
Computational Systems Biology
https://compbio.soihub.org/people.php
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Krawetz Lab
Charlotte B. Failing Professor of Fetal Therapy and Diagnosis. Associate Director C.S. Mott Center for Human Growth and Development,. Wayne State University School of Medicine. Department of Obstetrics and Gynecology. Center for Molecular Medicine and Genetics. Postdoctoral Positions Available - click here. C, Goodrich, R., Swanson, S., Hauser, R., Diamond, M. Click for Full Text. Johnson, G.D., Mackie. SA (2015 Jun 13. pii. Gkv591. [ Epub. Click for Full Text. Analysis methods to examine gene expression...
Compbio.mit.edu - MIT Computational Biology Group - Kellis Lab at MIT and Broad Institute
We work in a highly interdisciplinary environment at the interface of computer science and biology. Members of the group come from a primarily computational background and share a strong passion for understanding biological systems. We are engaged in several collaborative research partnerships with biological and experimental collaborators, at the Broad Institute, the ENCODE, modENCODE, GTEx, and Epigenomics Roadmap consortia, the Harvard Medical School, and other universities. Read more on: Chromatin.
Computational Biology at Oak Ridge National Laboratory
Welcome to Our Web Site. We are the Comparative Genomics and the Computational Biology and Bioinformatics Groups of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. Our collaborators include ORNL's Computer Science and Mathematics Division, the Joint Institute for Biological Sciences, and ORNL's Genome Science and Technology Graduate Program.
CBRG, Oxford University
You are here: CBRG home. Search CBRG web site. Welcome to the CBRG. The Computational Biology Research Group (CBRG) provides computing support. For bioinformatics analysis at the University of Oxford. We have expertise in many aspects of bioinformatics (sequence analysis, microarrays, proteomics and integration). We especially encourage collaborations that require writing custom software, bioinformatics tools and databases. An account with the CBRG has many benefits. Bioinformatics analysis tools online:.
Lab of Computational Biology and Biomolecular Engineering
Lab of Computational Biology and Biomolecular Engineering. 502-203 Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Computational Systems Biology
Please login to view:. If you would like to login and you do not already have an account please contact csb@soihub.org. Acknowledgements: This work was supported by NSF Grant DBI 0835677 and by the Center for Science of Information.
NetCSSP.
Neural networks for calculating Contact-dependent Secondary Structure Propensity. Applications in predicting non-native secondary structures and amyloid fibril formation. 1 Select a method for CSSP calculation. Single network provides helical and beta propensity in a single profile while dual mode calculates the helical and. Beta propensities in two separate neural networks. Three ways to submit a query sequence. 2-1 Paste your protein sequence. PDB ID (4 letters) :. Type sequence (Single letter) :.
Computational Biology Group - Stanford Computer Science Dept
Apply for the Computer Science Ph.D. program. Deadline: Winter 2014. Because of the colleagues, opportunities, facilities, and the true interdisciplinary and entrepreneurial spirit on campus (as well as unmatched weather and Bay Area setting). US News ranks Stanford University as the #1 Best Graduate School in both computer science, biological sciences, and in genetics, genomics and bioinformatics. Stanford Computer Science Department. Related Graduate Programs and Departments.
Computational Biology & Medicine
Computational Biology and Medicine. Student Life & Housing. FAQs for Prospective Students. Faculty & Research. Students & Alumni. Weill Cornell Medical College. Memorial Sloan-Kettering Cancer Center. Student Life & Housing. FAQs for Prospective Students. Faculty & Research. Students & Alumni. CBM’s personalized program uses computational methods, often in conjunction with experimental approaches, to solve problems across a broad spectrum of biomedical disciplines. About 6 months ago. Via Mobile Web (M5).
Computational Bioscience at the School of Medicine, UC Colorado Denver
Welcome to the Computational Bioscience Program at the University of Colorado Anschutz Medical Campus! The Computational Bioscience Program brings a pioneering new approach to computation that advances human health and the molecular understanding of life. Founded and directed by Prof. Lawrence Hunter, the Program is globally recognized for its research and teaching of computational biology and bioinformatics at the University of Colorado’s Anschutz Medical Campus. The Program is designed to...Students wi...
