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The metabolic network of H. sapiens and many other organisms is described in multiple pathway databases.
C2Cards combine the knowledge from multiple pathway databases for a specific target organism.
A high degree of overlap in gene membership is introduced when combining multiple pathway databases.
Other initiatives also provide a web-based interface to browse and search multiple pathway databases [ 24, 25].
It would, therefore, be advisable to apply analyses to multiple pathway databases to verify the robustness of the results.
There are also several freely available software tools that can mine multiple pathway databases (see Table 1).
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The MetaCrop [41] database contains information about rice obtained from the literature and multiple other pathway databases.
In addition, ConsensusPathDB (28) and Pathway Commons (http://www.pathwaycommons.org/) provide convenient single points of access to biological pathway information integrated from multiple public pathway databases.
The choice for a particular database may, for example, influence the outcome of a computational analysis, as evidenced by diverging results for methods that were applied to multiple metabolic pathway databases [ 19- 22].
These gene sets were curated from multiple sources including online pathway databases, biochemical literature, and mammalian microarray studies.
These gene sets were curated from multiple sources including online pathway databases, biomedical literature, and mammalian microarray studies.
More suggestions(15)
various pathway databases
multiple reference databases
multiple pathway variants
multiple pathway steps
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multiple protein databases
multiple intelligence databases
multiple pathway defects
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multiple source databases
multiple pathway groups
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multiple representation databases
multiple pathway enzymes
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