Bibliosphere Pathway Edition provides molecular biologists with literature-mining and pathway analysis in a unique and comprehensive software.
BiblioSphere is a powerful software tool designed for molecular biologists that offers a unique combination of literature-mining and pathway analysis. Whether you are interested in studying gene regulation or biological networks, BiblioSphere uses a comprehensive database of individually modeled relationships between genes, proteins, complexes, cells, and tissues, coupled with the latest in text mining techniques, to help you link your data to different biological contexts.
One of the standout features of BiblioSphere is its ability to extend biological networks beyond the traditional metabolic and regulatory pathways. The software can also merge your high-throughput, knowledge, and genomic-based analyses, making it easier to carry out context-sensitive regulatory pathway analysis. Other features include the ability to generate experiment-specific pathway variants, link pathways to disease mechanisms and genes, and perform advanced experimental designs.
The BiblioSphere PathwayEdition is another unique concept that integrates literature, genomic, interaction, pathway, and network databases to provide a comprehensive view of gene-gene relationships based on up-to-date literature analysis. Additionally, you can make use of multiple ontology classifications, expert-curated data on gene regulation, and sophisticated network and 3D layout algorithms.
Some of the other key benefits of using BiblioSphere include algorithms to find optimal pathways, shortest path algorithms, and access to various knowledge resources, including GO, MESH, and BIND. To use BiblioSphere, you need to ensure your system has Java 1.5.0_06 or higher, an internet connection, and 512 MB of main memory. Overall, BiblioSphere is a powerful tool that can streamline your research efforts in the field of molecular biology.
One of the standout features of BiblioSphere is its ability to extend biological networks beyond the traditional metabolic and regulatory pathways. The software can also merge your high-throughput, knowledge, and genomic-based analyses, making it easier to carry out context-sensitive regulatory pathway analysis. Other features include the ability to generate experiment-specific pathway variants, link pathways to disease mechanisms and genes, and perform advanced experimental designs.
The BiblioSphere PathwayEdition is another unique concept that integrates literature, genomic, interaction, pathway, and network databases to provide a comprehensive view of gene-gene relationships based on up-to-date literature analysis. Additionally, you can make use of multiple ontology classifications, expert-curated data on gene regulation, and sophisticated network and 3D layout algorithms.
Some of the other key benefits of using BiblioSphere include algorithms to find optimal pathways, shortest path algorithms, and access to various knowledge resources, including GO, MESH, and BIND. To use BiblioSphere, you need to ensure your system has Java 1.5.0_06 or higher, an internet connection, and 512 MB of main memory. Overall, BiblioSphere is a powerful tool that can streamline your research efforts in the field of molecular biology.
What's New
Version 7.1.2: N/A