Papers: 10.3390/biology3010085
https://doi.org/10.3390/biology3010085
R-Based Software for the Integration of Pathway Data into Bioinformatic Algorithms
Cited by: 17
Author(s): Frank Krämer, Michaela Bayerlová, Tim Beißbarth
Published: over 12 years ago
Software Mentions 28
bioconductor: AnnotationDbi
Manipulation of SQLite-based annotations in BioconductorPapers that mentioned: 73
Very Likely Science (90)
Very Likely Science (100)
bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry dataPapers that mentioned: 429
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Very Likely Science (85)
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bioconductor: graphite
GRAPH Interaction from pathway Topological EnvironmentPapers that mentioned: 30
Very Likely Science (100)
bioconductor: KEGGgraph
KEGGgraph: A graph approach to KEGG PATHWAY in R and BioconductorPapers that mentioned: 39
Very Likely Science (100)
Very Likely Science (78)
Very Likely Science (100)
bioconductor: pathview
a tool set for pathway based data integration and visualizationPapers that mentioned: 144
Very Likely Science (100)
bioconductor: PSICQUIC
Papers that mentioned: 75
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Very Likely Science (100)
bioconductor: RedeR
Interactive visualization and manipulation of nested networksPapers that mentioned: 21
Very Likely Science (100)
bioconductor: Rgraphviz
Provides plotting capabilities for R graph objectsPapers that mentioned: 33
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bioconductor: SPIA
Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbationsPapers that mentioned: 155
Very Likely Science (100)
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Very Likely Science (75)
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pypi: graphite
Papers that mentioned: 30
Very Likely Science (65)
Very Likely Science (100)
Very Likely Science (65)