Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article
MBCO PathNet: Integration and visualization of networks connecting functionally related pathways predicted from transcriptomic and proteomic datasets
Abstract
Our desktop application MBCO PathNet allows for quick and easy integration and visualization of networks of functionally related pathways predicted from numerous gene and protein lists using the Molecular Biology of the Cell Ontology (MBCO) and other ontologies. Within networks of hierarchical parent-child relationships or functional relationships, pathways are visualized as pie charts where each slice represents a dataset that predicted that pathway. Sizes of pies and slices can be selected to represent statistical significance or other quantitative measures. In addition, MBCO PathNet can generate bar diagrams, heatmaps and timelines. Availability and implementationmbc-ontology.org github.com/SBCNY/Molecular-Biology-ofthe-Cell iyengarlab.org/mbcpathnet Contact: jens.hansen@mssm.edu
- assay: proteomics
- assay: bulk RNA-seq
- research focus: database / resource
- research focus: software / tool
- research focus: benchmarking
- approach: statistical model
- Citations
- 2
- FWCI
- 0.27
- Field percentile
- 50th percentile
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