Recommended Websites
- Genomic Science ProgramThe U.S. Department of Energy's Genomic Science program (formerly Genomics:GTL) uses microbial and plant genomic data, high-throughput analytical technologies, and modeling and simulation to develop a predictive understanding of biological systems behavior relevant to solving energy and environmental challenges.
- International Plant Names IndexThe International Plant Names Index (IPNI) is a database of the names and associated basic bibliographical details of seed plants, ferns and lycophytes. Its goal is to eliminate the need for repeated reference to primary sources for basic bibliographic information about plant names.
- KBase, a DOE Systems Biology Knowledgebase for Predictive Biology This link opens in a new windowThe Department of Energy Systems Biology Knowledgebase (KBase) is an open software and data platform that aims to enable researchers to predict and ultimately design biological function. KBase’s unified data model allows users to perform integrated analyses across plants, microbes, and their communities with a wide range of tools that interoperate across the tree of life, and to publish their data, methods, results and thoughts in persistent, citable, executable, and reusable electronic narratives that allow scientists to build on the work of others. KBase's open platform will enable external developers to integrate their analysis tools, facilitating distribution, comparative tool analysis, and access to enterprise-class computing. (website)
- National Center for Biotechnology InformationThe National Center for Biotechnology Information advances science and health by providing access to biomedical and genomic information.
- Tree of Life Web ProjectThe Tree of Life Web Project (ToL) is a collaborative effort of biologists and nature enthusiasts from around the world. On more than 10,000 World Wide Web pages, the project provides information about biodiversity, the characteristics of different groups of organisms, and their evolutionary history (phylogeny).
Evaluating Websites with the CRAAP Criteria
