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Mendes Research GroupThe Mendes Research Group
http://www.comp-sys-bio.org/
The Mendes Research Group
http://www.comp-sys-bio.org/
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PEDRO MENDES
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US
View this contact
PEDRO MENDES
346 Co●●●●●●Circle
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US
View this contact
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Mendes Research Group | comp-sys-bio.org Reviews
https://comp-sys-bio.org
The Mendes Research Group
comp-sys-bio.org
Mendes Research Group
http://www.comp-sys-bio.org/index.html
Professor Pedro Mendes Computational Systems Biology. We follow the Systems Biology. Approach, where biological phenomena are seen as resulting from the interactions of its constituents. Interpreting these phenomena requires the use of quantitative methods and computation. We work on many aspects of Computational Systems Biology:. Development of modelling and simulation software (like COPASI. Construction of large-scale cellular models (digital organisms). Parameter estimation and sensitivity analysis.
Mendes Research Group - News
http://www.comp-sys-bio.org/news0017.html
Professor Pedro Mendes Computational Systems Biology. Liver iron model highlighted in BioModels. Posted on: Jun 9, 2014. Has selected our model of liver iron metabolism as the June model of the month. The model was published on November 2013 in PLOS Computational Biology. Is licensed under a Creative Commons Attribution 4.0 International License. This page uses the Perfect 'Full Page' 1 column Liquid Layout.
Mendes Research Group - Funding
http://www.comp-sys-bio.org/funding.html
Professor Pedro Mendes Computational Systems Biology. Funding is essential to research, without it science would not be possible. We are grateful to a number of generous funding agencies for their support to our work. And support of its users in the UK. And support of its biomedical users in the USA. Joint PI with Stefan Hoops. Development of the ChEBI. Database to serve systems biology projects (eg metabolic reconstructions). Large-scale metabolic models and parameter estimation for biotechnology.
Mendes Research Group - Publications
http://www.comp-sys-bio.org/publications.html
Professor Pedro Mendes Computational Systems Biology. Our publications, listed by year and with links to abstract and/or full text. You can also find Pedro's publications on Google Scholar. 109 [ full text. In press. [ full text. Scharm M, Waltemath D, Mendes P, Wolkenhauer O (2016) COMODI: An ontology to characterise differences in versions of computational models in biology. J Biomed. Semantics. 46 [ full text. 245-246 [ full text. 11 [ ful text. D1):D1214-9. [ ful text. 710-23. [ ful text. Villaverde ...
Mendes Research Group - News
http://www.comp-sys-bio.org/news0018.html
Professor Pedro Mendes Computational Systems Biology. Postdoc position in iron metabolism modeling in Farmington, CT. Posted on: Aug 20, 2014. We have an open position for a postdoctoral researcher to work on the area of iron metabolism modeling at the Center for Quantitative Medicine. Or other SBML software packages. To apply, please send your CV, a brief statement of research interests, and contact information for three references to Kathy Black at kblack@uchc.edu. E1003299 [ full text. Hower, V., ...
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Ondex - data integration and visualisation
http://www.ondex.org/ack.shtml
Documentation and sample graphs. The Ondex SABR Project. Edgar Wingender (geneXplain and University Medical Center Goettingen). Charlie Hodgman (University of Nottingham, CPIB). Igor Goryanin (University of Edinburgh, CSBE). Jacob Kohler ( Dow AgroSciences. Philippe Sanseau ( GSK. Ralf Hofestadt (University of Bielefeld). The Ondex SABR project is funded by BBSRC Grants BBS/B/13640 and BB/F006039/1. Department of Computational and Systems Biology ( CSYS. Centre for Bioenergy and Climate Change ( BCC.
Faculty | Center for Quantitative Medicine
http://cqm.uchc.edu/people/faculty
Skip to UConn Search. Center for Quantitative Medicine. Search in http:/ cqm.uchc.edu/. Center for Quantitative Medicine. Search in http:/ cqm.uchc.edu/. Thomas P. Agresta, M.D., M.B.I. Professor, Family Medicine. Health informatics including the optimal use and adoption of electronic health records (EHRs), primary care use of health information tools, clinical decision support, use of smartphones and handheld computers in education and patient care, and patient-centered use of technology. Computational ...
Cloud COPASI - Help
http://cloud.copasi.org/help
Cloud-COPASI is a web-based tool for running computationally intensive. Simulation and analysis tasks in parallel on a high-throughput computing pool. Cloud-COPASI can connect to existing computing pools. Or provides a simple interface for launching a new computing pool. Using the Amazon Elastic Compute Cloud (EC2). Cloud-COPASI can run a number of simulation and analysis tasks. Including global sensitivity analyses. Models must be prepared using COPASI. At the University of Manchester, UK.
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Mendes Research Group
Professor Pedro Mendes Computational Systems Biology. We follow the Systems Biology. Approach, where biological phenomena are seen as resulting from the interactions of its constituents. Interpreting these phenomena requires the use of quantitative methods and computation. We work on many aspects of Computational Systems Biology:. Development of modelling and simulation software (like COPASI. Construction of large-scale cellular models (digital organisms). Parameter estimation and sensitivity analysis.
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Graduate students and postdocs with mathematics, statistics, physics and computer science background are welcome to join us! Applicants can send your CV and research statement to Professor. Xing-Ming Zhao(xmzhao@fudan.edu.cn). 2017/12/25] One paper from Zhao Group. Has just been accepted by Journal of Molecular Cell Biology. Won the sencond prize of natural science of Ministry of Education. 2017/09/26] Guanghui Zhu,. Ruili Li and Xiao Chen. Won the National Scholarship for Graduate students.
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