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Home - Comparative Biosciences, Inc.
Dermal Efficacy & Models. Delayed Type Hypersensitivity (DTH) Studies. Ocular Pharmacology and Efficacy Models. Neovascular and Vascular Models. Cardiovascular Efficacy and Models. Diabetic and Metabolic Models. Otic and Auditory Studies. Toxicology in Preclinical Studies. Research and Regulatory Pathology Studies. Histopathology and Special Stains. Histomorphometry and Digital Slide Analysis. Devices, Plastics and Ground Section Histology. State-Of-The-Art Facilities and Exceptional Medical Staff. Compa...
compbio.cs.brown.edu
Raphael Lab // Princeton University
We are a research group in the Computer Science Department. Our research is focused on Bioinformatics and Computational Biology. Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cancer. Earlier research included topics in comparative genomics, multiple sequence alignment, and motif finding. Learn more ». Princeton, NJ 08540. Email: braphael AT cs DOT princeton DOT edu.
compbio.cs.princeton.edu
Mona Singh
Professor of Computer Science. Lewis-Sigler Institute for Integrative Genomics. Department of Computer Science. Msingh at cs.princeton.edu. Http:/ www.cs.princeton.edu/ mona/. Mailing Address: 244 Carl Icahn Lab, Princeton University, Princeton, NJ 08544. Department of Computer Science. 8226; Lewis-Sigler Institute for Integrative Genomics.
compbio.cs.toronto.edu
Home @ Computational Biology Lab - U of T
Welcome to the Computational Biology Lab at the University of Toronto's. Department of Computer Science. The Computer Science Department is a member of the Collaborative Graduate Program in Genome Biology and Bioinfromatics. From this page you can visit our group member's webpages to learn about their research, find out about Computational Biology courses taught at UofT and get information about how to join our group. Department of Computer Science, 10 King's College Road, Toronto, ON, Canada M5S 3G4.
compbio.cs.ucr.edu
Algorithms and Computational Biology Lab
We are interested in all aspects of the design and analysis of combinatorial algorithms. Ongoing research includes:. Average-case analysis of algorithms,. We are especially interested in algorithmic problems arising in computational molecular biology, such as:. SNP's and haplotype inference,. Genome-wide analysis of structures of gene families,. DNA microarray analysis,. Oligonucleotide fingerprinting of ribosomal RNA genes (OFRG). Is a high-throughput system for ortholog assignment on a genome scale.
compbio.cs.uic.edu
UIC: Laboratory for Computational Population Biology
Laboratory for Computational Population Biology. Department of Computer Science. University of Illinois at Chicago (UIC). Welcome to Computational Population Biology at UIC. Professor Tanya Y. Berger-Wolf. Identifying zebras by their stripes. PrezRelease by U of I President Hogan. Radio show and podcast). In Russian) Click here. My Slice of Pizza. ZDNet Blog by Roland Piquepaille. Roland Piquepaille's Technology Trends. VisiblePath by Stan Wasserman. Tablet PC Education Blog. In German) Click here. Will ...
compbio.cs.umn.edu
Kuang Lab – University of Minnesota – Twin Cities
University of Minnesota - Twin Cities. A Multitask Clustering Approach for Single-cell RNA-Seq Analysis in Recessive Dystrophic Epidermolysis Bullosa. Detecting Population-differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection. IEEE/ACM Transactions on Computational Biology and Bioinformatics ( Volume: PP, Issue: 99). Network-based Machine Learning and Graph Theory Algorithms for Precision Oncology. NPJ Precision Oncology, number 25 (2017). The Plant Journal V91(1) (2017).
compbio.cse.msu.edu
MSU Computational Biology Page
CompBio Corridor Workshop Program. Groups from MSU, UofM, WayneState, Pharmacia&UpJohn, Parke-Davis and Van Andel will come to MSU on Nov 13 to discuss the new Michigan Life Sciences Corridor program. See the Program. The Michigan State University. Computational Biology Group (CBG) represents a diverse group of researchers from around campus who actively participate in collaborative research on topics including:. Protein flexibility and folding. Access to genomic databases. Models of microbial communities.
compbio.dcs.gla.ac.uk
Web Server: Bioinformatics Research Centre, University of Glasgow
Bioinformatics Research Centre: Web Server. Department of Computing Science. Wwwbrc.dcs.gla.ac.uk. This machine is the web server of the Bioinformatics Research Centre. Department of Computing Science, University of Glasgow. Contact information for the Bioinformatics Research Centre can be found at www.brc.dcs.gla.ac.uk/contact.html. Web-based services and software downloads available via the Bioinformatics Research Centre can be found at www.brc.dcs.gla.ac.uk/software.
compbio.ddns.comp.nus.edu.sg
Computational Biology lab webserver
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compbio.dfci.harvard.edu
Computational Biology and Functional Genomics Laboratory - Home
June 13, 2013. We are proud to announce the release of MeV v4.9. This release is updated to use Java 7. Please download MeV at sorceforge.net. February 1, 2011. Written by John Quackenbush, PhD. We are pleased to announce Dr. Quackenbush's recent book, The Human Genome! The book takes the reader on a tour of the history and science behind the Human Genome Project and the technologies that are revolutionizing the practice of medicine today. You can purchase the book here. February 9, 2011. Watch John Quac...
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