Knowledge Base Commons (KBCommons) v1.0: A multi OMICS' web-based data integration framework for biological discoveries
Autor: | Dong Xu, Shuai Zeng, Trupti Joshi, Zhen Lyu, Siva Ratna Kumari Narisetti |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Computer science business.industry Suite computer.software_genre World Wide Web 03 medical and health sciences 030104 developmental biology Data visualization Knowledge base Web application Privilege Management Infrastructure Web resource User interface business computer Data integration |
Zdroj: | BIBM |
DOI: | 10.1109/bibm.2018.8621369 |
Popis: | Knowledge Base Commons (KBCommons) v1.0 provides a comprehensive web resource for storing, sharing, analyzing, exploring, and visualizing multi-organism genomics and multi-omics data. KBCommons is designed for integrating diverse multi-level omics data and facilitating biological discoveries. It provides a one-stop shop framework for creating a new organism-specific or disease-specific knowledge base (KB), adding more omics data and genome versions to existing KBs and exploring genomic data within current KBs. It has a secure data privilege management system to enable users to make their data publicly available or to share with certain groups and members. It also provides a suite of interactive web-based tools for bioinformatics analysis and data visualization. KBCommons has a user-friendly web interface, which allows users to retrieve entire genomic data, as well as any experiment data or analysis results easily. KBCommons can be publicly accessed at http://kbcommons.org/. |
Databáze: | OpenAIRE |
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