Resources and Tools


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Neuroscience Information Framework (NIF)
A Blueprint-Funded Resource
  • NIF is an online portal for finding and sharing neuroscience data, tools and literature. With more than 4,500 curated resources and direct access to more than 100 databases, it is the largest source of neuroscience information on the web.
  • NIF also offers a set of tools and best practices for sharing research data and resources.
  • In September 2011, Genetic Engineering and Biotechnology News named NIF a "Best of the Web" pick, noting that it “provides the scientific community with a number of valuable resources.”
  • More information
  • An online bank of software and other tools used for neuroimaging.  Users can search for tools on the site, upload tools, and exchange reviews.
  • "Best Overall" winner of a 2009 Award, recognizing outstanding government IT programs.
  • More information
  • A user-driven system that allows researchers to collaborate and share large quantities of data rapidly, securely and privately in a virtual environment.
  • Project to develop a unique software modeling environment, the Virtual Cell, for quantitative cell biological research.
  • A searchable database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships.
  • An initiative to enhance the application of computer science to problems in biology and medicine.
  • Supports seven Centers developing innovative software programs and other tools for systems biology, image processing, biophysical modeling, biomedical ontologies, information integration, and gene-phenotype and disease analysis.
  • The BISTI Consortium develops research grants, training opportunities, and scientific symposia related to biomedical computing.
  • Supports services, training, and research to enhance the use, and speed the development of, tools for neuroimaging/neuroinformatics.
  • Brings together program officers from NIH, National Science Foundation, and other federal agencies and departments who have a shared interest in applying modeling and analysis methods to biomedical systems.