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    BMCBI
    2008
    147views more  BMCBI 2008»
    Simple integrative preprocessing preserves what is shared in data sources
    13 years 7 months ago
    Simple integrative preprocessing preserves what is shared in data sources
    Download  www.biomedcentral.com
    Background: Bioinformatics data analysis toolbox needs general-purpose, fast and easily interpretable preprocessing tools that perform data integration during exploratory data ana...
    Abhishek Tripathi, Arto Klami, Samuel Kaski
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    BIB
    2008
    145views more  BIB 2008»
    Biomedical ontologies: a functional perspective
    13 years 7 months ago
    Biomedical ontologies: a functional perspective
    Download  stanford.edu
    The information explosion in biology makes it difficult for researchers to stay abreast of current biomedical knowledge and to make sense of the massive amounts of online informat...
    Daniel L. Rubin, Nigam Shah, Natalya Fridman Noy
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    TAPIA
    2009
    ACM
    233views Applied Computing» more  TAPIA 2009»
    A platform-based design environment for synthetic biological systems
    14 years 1 months ago
    A platform-based design environment for synthetic biological systems
    Download  ddensmore.net
    Genomics has reached the stage at which the amount of DNA sequence information in existing databases is quite large. Synthetic biology is now using these databases to catalog sequ...
    Douglas Densmore, Anne Van Devender, Matthew Johns...
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    CIDR
    2007
    177views Algorithms» more  CIDR 2007»
    bdbms - A Database Management System for Biological Data
    13 years 8 months ago
    bdbms - A Database Management System for Biological Data
    Download  www-db.cs.wisc.edu
    Biologists are increasingly using databases for storing and managing their data. Biological databases typically consist of a mixture of raw data, metadata, sequences, annotations,...
    Mohamed Y. Eltabakh, Mourad Ouzzani, Walid G. Aref
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    BIOINFORMATICS
    2007
    83views more  BIOINFORMATICS 2007»
    Exploring biological network structure using exponential random graph models
    13 years 7 months ago
    Exploring biological network structure using exponential random graph models
    Download  www.cs.ucdavis.edu
    Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
    Zachary M. Saul, Vladimir Filkov
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