Bibliosphere Analysis Kit 5.11 review
DownloadBiblioSphere offers a unique combination of literature-mining and pathway analysis for molecular biologists interested in gene regulation and biological networks.
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BiblioSphere offers a unique combination of literature-mining and pathway analysis for molecular biologists interested in gene regulation and biological networks.
BiblioSphere Pathway Edition uses a comprehensive database of individually modeled relationships between genes, proteins, complexes, cells and tissues together with up-to-date text mining techniques for automated knowledge extraction to allow you to link your data to biological networks in different biological contexts.
Here are some key features of "Bibliosphere Analysis Kit":
extend biological networks beyond canonical pathway information (regulatory & metabolic)
merge your high throughput results with biological knowledge and sequence based analyses
perform context-sensitive regulatory pathway analysis
generate experiment-specific pathway variants
link pathways to disease mechanisms & genes
do advanced experimental design.
What's New:
New and Enhanced Data Sources
Genomatix Expert Curated Gene-Gene Relations:
Genomatix has integrated its proprietary knowledge-base of expert curated data on gene regulation into BiblioSphere. This unique data source adds the semantics of gene-gene relationships to the dynamically generated BiblioSphere gene networks, providing information like "Gene A activates transcription of gene B" or "Gene A physically interacts with gene B".
Signal Transduction Pathways:
Portions of Gene Ontology relevant to signal transduction as well as data compiled from literature have been combined to enable the identification of canonical pathways linked to the focused network.
Metabolic Pathway Associations:
Metabolic pathway associations have been integrated to allow the identification of metabolic events relevant to your set of genes.
New or Enhanced Views
Pathway View with expert curated gene-gene relationships
Gene groups are compiled into easily comprehensible dynamic network graphs combining hand curated gene-gene relationships with data derived from automated knowledge extraction. Networks can be customized by filters and focused in a gene centered way to perform shortest path analysis.
Cellular Localization View
Based on GO Annotations genes are assigned to their subcellular location and visualized as a diagrammed cell layout, allowing you to identify subcellular regions and compartments relevant to your gene set.
Other new features
Project Management: Manage your analyses by organizing them into project folders. Quickly access previous results with a few mouse clicks or add new searches to existing projects.
Requirements:
connection to the internet
a Genomatix evaluation account (free of charge).
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