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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available.
Proper citation: SGD (RRID:SCR_004694) Copy
https://github.com/nolanlab/VORTEX
Software Java graphical tool for single cell analysis, clustering and visualization. Provides multithreaded implementations of clustering algorithms, including nonparametric density based X shift, Hierarchical clustering, Mean shift and K medoids.
Proper citation: VORTEX (RRID:SCR_017047) Copy
http://web.stanford.edu/group/vista/cgi-bin/wiki/index.php/MrDiffusion
Software package for diffusion imaging analysis and visualization. Module of Vistasoft for processing diffusion weighted data and measuring and visualizing fractional anisotropy, mean diffusivity, axial and radial diffusivity, RGB fiber direction maps and analysis of MRI data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: MrDiffusion (RRID:SCR_016567) Copy
https://cibersort.stanford.edu/
Software tool to provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data. Used for characterizing cell composition of complex tissues from their gene expression profiles, large scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets.
Proper citation: CIBERSORT (RRID:SCR_016955) Copy
https://sdrc.stanford.edu/sdrc-research-cores/dgac/home/
Core facility that offers library preparation and sequencing services on a variety of platforms - Illumina HiSeq 4000, MiSeq, HiSeq 2500 and PacBio Sequel - as well as bioinformatics analysis. It can sequence a variety of commercial sample preparation kits as well as custom workflows. DGAC provides access to high throughput sequencing and analysis to researchers at the Stanford Diabetes Research Center.
Proper citation: Stanford Diabetes Research Center Diabetes Genomics Analysis Core (RRID:SCR_016213) Copy
Core mass spec and proteomic services include open access lab for trained users with GC/MS, LC/MS, high resolution LC/MS, and MALDI-TOF instruments, help with intact protein analysis, targeted quantitation, drug discovery support, pathway analysis, protein interactions, FFPE tissue analysis, both labeled and label-free proteomics, and more. Please contact SUMS to discuss these and other custom projects including new application development.
Proper citation: Stanford University Vincent Coates Foundation Mass Spectrometry Laboratory Core Facility (RRID:SCR_017801) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
