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  • 1
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    A genomic-systems biology map for cardiovascular function (2001)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2001-11-27
    Description: With the draft sequence of the human genome available, there is a need to better define gene function in the context of systems biology. We studied 239 cardiovascular and renal phenotypes in 113 male rats derived from an F2 intercross and mapped 81 of these traits onto the genome. Aggregates of traits were identified on chromosomes 1, 2, 7, and 18. Systems biology was assessed by examining patterns of correlations ("physiological profiles") that can be used for gene hunting, mechanism-based physiological studies, and, with comparative genomics, translating these data to the human genome.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stoll, M -- Cowley, A W Jr -- Tonellato, P J -- Greene, A S -- Kaldunski, M L -- Roman, R J -- Dumas, P -- Schork, N J -- Wang, Z -- Jacob, H J -- 1P50-HL-54998/HL/NHLBI NIH HHS/ -- R01 HL064541/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2001 Nov 23;294(5547):1723-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physiology, Bioinformatics Research Center, and, Human and Molecular Genetics Center, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226-0509, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11721057" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Blood Pressure/drug effects/genetics ; *Cardiovascular Physiological Phenomena/drug effects ; Chromosome Mapping/*methods ; Chromosomes/genetics ; Crosses, Genetic ; Female ; Genomics/*methods ; Humans ; Kidney/physiology ; Lod Score ; Male ; Nitric Oxide Synthase/genetics ; Norepinephrine/pharmacology ; Phenotype ; Quantitative Trait, Heritable ; Rats ; Vasodilation/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
    Electronic Resource
    Electronic Resource
    The Microcirculation Physiome Project (1998)
    Springer
    Annals of biomedical engineering 26 (1998), S. 911-913 
    Details
    ISSN: 1573-9686
    Keywords: Physiological database ; Mathematical model ; Physiome: microcirculation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine , Technology
    Notes: Abstract Presented is a discussion of steps towards the creation of a database of the microcirculation encompassing anatomical and functional experimental data, and conceptual and computational models. The discussion includes issues of database utility, organization, data deposition, and linkage to other databases. The database will span levels from gene to tissue and will serve both research and educational purposes. © 1998 Biomedical Engineering Society. PAC98: 8745Ft, 8710+e, 0130Cc
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1114/1.112
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    Paper (German National Licenses)
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  • 3
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    COSMOS: Python library for massively parallel workflows (2014)
    Oxford University Press
    Details
    Publication Date: 2014-10-04
    Description: : Efficient workflows to shepherd clinically generated genomic data through the multiple stages of a next-generation sequencing pipeline are of critical importance in translational biomedical science. Here we present COSMOS, a Python library for workflow management that allows formal description of pipelines and partitioning of jobs. In addition, it includes a user interface for tracking the progress of jobs, abstraction of the queuing system and fine-grained control over the workflow. Workflows can be created on traditional computing clusters as well as cloud-based services. Availability and implementation: Source code is available for academic non-commercial research purposes. Links to code and documentation are provided at http://lpm.hms.harvard.edu and http://wall-lab.stanford.edu . Contact: dpwall@stanford.edu or peter_tonellato@hms.harvard.edu . Supplementary information : Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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