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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.
http://www.ncbi.nlm.nih.gov/pubmedcommons/
A forum where authors who have published in PubMed may comment on any publication in PubMed. Members of PubMed Commons are not anonymous and must agree to certain terms and guidelines concerning appropriate and inapproriate comments.
Proper citation: Pubmed Commons (RRID:SCR_014021) Copy
https://metagenote.niaid.nih.gov/
Quick and intuitive way to annotate data from genomics studies including microbiome. Project to aid researchers in applying standardized metadata describing what, where, how, and when of samples collected in genomics study. Collection of METAdata of GEnomics studies on web based NOTEbook. Metadata are stored in centralized repository and validated according to guidelines from Genomics Standard Consortium, which are also supported by repositories and large microbiome initiatives such as NCBI, European Bioinformatics Institute (EBI), and Earth Microbiome Project. Upon request from researchers, data will also be submitted for publication via NCBI Sequence Read Archive (SRA) repository.
Proper citation: METAGENOTE (RRID:SCR_018494) Copy
Workstation is built on Bravo automated liquid handling robot preconfigured for library prep and target enrichment using Next-Generation Sequencing protocols. Workstation modules add microplate handling. Intuitive Agilent VWorks software enables setup of preprogrammed protocols and allows users to create custom protocols., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Agilent: Bravo NGS (RRID:SCR_019473) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 29, 2014. The orbit project was a registry of biomedical resources.
Proper citation: OrbitProject (RRID:SCR_010463) Copy
http://ods.od.nih.gov/Research/CARDS_Database.aspx
Database of federally funded research projects pertaining to dietary supplements. CARDS contains projects funded by the United States Department of Agriculture (USDA), the Department of Defense (DOD) and the Institutes and Centers (ICs) of the National Institutes of Health (NIH) beginning with fiscal year 1999, the first year that NIH ICs began reporting research related to dietary supplements. Projects funded by other Federal agencies will be added to CARDS as they become available. The Office of Dietary Supplements (ODS) will post notices on its website and listserv when CARDS updates are completed. Codes assigned to each research project allow the CARDS user to identify: * research related to specific dietary supplement ingredients; for example, vitamin E or St. John''''s wort * the type of study; for example, a Phase III study or an animal study * health outcomes or biological effects; for example, osteoporosis or antioxidant function * whether the research is directly related or indirectly related to dietary supplements. For example, a clinical trial comparing bone density in women given a daily calcium supplement versus a placebo would be classified as directly related to dietary supplements. A study examining the activation of steroid hormone receptors by supplemental vitamin D in cell culture would be classified as indirectly related to dietary supplements because the direct physiological or health effects of vitamin D supplementation are not being studied. A search of the CARDS database can be used to sort and tabulate information for a variety of purposes. For example, a researcher may want to know which ICs at the NIH fund research on herbal supplement ingredients. A consumer may want to know if the Federal government is supporting research on a popular dietary supplement ingredient such as vitamin C.
Proper citation: CARDS Database (RRID:SCR_009011) Copy
http://immport.org/immport-open/public/reference/cytokineRegistry
A registry of cytokines, chemokines, and receptors generated for the purpose of collecting, integrating, and mapping between entity names and synonyms from several resources. These resources include MeSH, the Protein Ontology, EntrezGene, HGNC, MGI, UniProt and others.
Proper citation: Cytokine Registry (RRID:SCR_014368) Copy
https://bioinformatics.niaid.nih.gov/chemokinedb/
Resource of chemokines and receptors with detailed information including taxonomy, nomenclature, structure, physiological function, tissue information, and phenotype, collected from IUPHAR/BPS, UniGene, and UniProt public databases.
Proper citation: ChemokineDB (RRID:SCR_016593) Copy
http://software.broadinstitute.org/gsea/msigdb/index.jsp
Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.
Proper citation: Molecular Signatures Database (RRID:SCR_016863) Copy
https://github.com/VH-Lab/vhlab-microscopyimageanalysis-matlab
Software Matlab app for analysis of high density imaging data like that from Array Tomography.
Proper citation: vhlab-microscopyimageanalysis-matlab (RRID:SCR_024450) Copy
https://nationalmaglab.org/user-facilities/icr
Facility provides service operations for sample analysis that requires ultrahigh resolution and high mass accuracy of Fourier Transform Ion Cyclotron Resonance. Used for research in biomolecular analysis, hydrogen-deuterium exchange and environmental and petrochemical analysis. Four FT-ICR mass spectrometers feature high magnetic fields including the world-record 21 tesla and are compatible with multiple ionization and fragmentation techniques.
Proper citation: National High Magnetic Field Laboratory Ion Cyclotron Resonance Core Facility (RRID:SCR_017361) Copy
https://www.unmc.edu/vcr/cores/vcr-cores/flow-cytometry/index.html
Provides central location for flow cytometry instrumentation and education. Services include Flow Cytometry,Cell sorting, data analysis, training. Software packages to analyze data include ModFit LT, BD FACSDiva v6, Cell Quest Pro, and FlowJo vX, from facility workstations.
Proper citation: Nebraska University Medical Center Flow Cytometry Research Core Facility (RRID:SCR_017736) Copy
http://www.columbia.edu/cu/biology/resources/proteomics/
Core provides identification of proteins and metabolites with differential quantitative expression in cells, tissues or in protein affinity purifications. Particular emphasis is on quantitative analysis of posttranslational modifications such as phosphorylation.
Proper citation: Columbia University Quantitative Proteomics and Metabolomics Core Facility (RRID:SCR_017747) Copy
https://nationalmaglab.org/user-facilities/emr/
EMR Facility offers home-built, high-frequency and high-field continuous-wave instruments providing frequency coverage from 9 GHz to 1 THz, with additional frequencies available up to 2.5 THz using molecular gas laser. EMR covers variety of magnetic resonance techniques associated with electron like Electron Paramagnetic/Spin Resonance (EPR/ESR). EPR/ESR can be performed on any sample that has unpaired electron spins and used in applications in physics, materials science, chemistry and biology, including studies of impurity states, molecular clusters, antiferromagnetic, ferromagnetic and thin film compounds, natural or induced radicals, optically excited paramagnetic states, electron spin-based quantum information devices, transition-metal based catalysts; and for structural and dynamical studies of metallo-proteins, spin-labeled proteins and other complex bio-molecules and their synthetic models.
Proper citation: National High Magnetic Field Laboratory Electron Magnetic Resonance Core Facility (RRID:SCR_017359) Copy
https://nationalmaglab.org/user-facilities/dc-field
Facility located at MagLab headquarters near Florida State University in Tallahassee. Contains 14 resistive magnet cells connected to 56 megawatt DC power supply and 15,000 square feet of cooling equipment to remove heat generated by magnets. Includes several superconducting magnets operating at millikelvin temperatures. Among these instruments is 45-tesla hybrid magnet, which offers scientists strongest continuous magnetic field in world. Research is supported by magnet plant and cryogenic system operators. Technicians design, build and repair instruments for user research.
Proper citation: National High Magnetic Field Lab DC Field Core Facility (RRID:SCR_017358) 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
https://med.nyu.edu/research/scientific-cores-shared-resources/microscopy-laboratory
Core offers comprehensive light and electron microscopy technologies. Our scientists use light microscopes and electron microscopes at resolutions ranging from centimeters to angstroms, providing clear and detailed images.We assist at every stage of your experiment, offering research-design consultation and instrument training, as well as guidance in study execution, analysis, and presentation for publication.
Proper citation: New York University School of Medicine Langone Health Microscopy Laboratory Core Facility (RRID:SCR_017934) Copy
https://brcf.medicine.umich.edu/cores/bioinformatics-core/
Core helps researchers identify and interpret patterns in RNA and DNA by placing sequencing data into biologically meaningful context. Services include experimental design, developing reproducible workflows, analyzing next-generation sequencing data, and supporting manuscript development/publication.
Proper citation: University of Michigan Medical School Bioinformatics Core (RRID:SCR_019168) Copy
Open source neurostimulation and recording hardware instrument platform. Part of the SPARC project. COSMIIC is based on the Networked Neuroprosthesis developed at Case Western Reserve University.
Proper citation: COSMIIC HORNET (RRID:SCR_023679) Copy
http://ccb.jhu.edu/software/glimmerhmm/
A gene finder based on a Generalized Hidden Markov Model (GHMM). Although the gene finder conforms to the overall mathematical framework of a GHMM, additionally it incorporates splice site models adapted from the GeneSplicer program and a decision tree adapted from GlimmerM. It also utilizes Interpolated Markov Models for the coding and noncoding models . Currently, GlimmerHMM's GHMM structure includes introns of each phase, intergenic regions, and four types of exons (initial, internal, final, and single).
Proper citation: GlimmerHMM (RRID:SCR_002654) Copy
http://www.nlm.nih.gov/NIHbmic/nih_data_sharing_repositories.html
A listing of NIH supported data sharing repositories that make data accessible for reuse. Most accept submissions of appropriate data from NIH-funded investigators (and others), but some restrict data submission to only those researchers involved in a specific research network. Also included are resources that aggregate information about biomedical data and information sharing systems. The table can be sorted according by name and by NIH Institute or Center and may be searched using keywords so that you can find repositories more relevant to your data. Links are provided to information about submitting data to and accessing data from the listed repositories. Additional information about the repositories and points-of-contact for further information or inquiries can be found on the websites of the individual repositories.
Proper citation: NIH Data Sharing Repositories (RRID:SCR_003551) 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.
