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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.sb.fsu.edu/~rsref/Distribution/roadmap_distribution.htm
Software tool to display surface of macromolecule and its properties. Uses projections to map van der Waals or solvent accessible surface of macromolecule onto plane., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Roadmap (RRID:SCR_017207) Copy
http://compbio.cs.princeton.edu/conservation/
Software for scoring protein sequence conservation using the Jensen-Shannon divergence. It can be used to predict catalytic sites and residues near bound ligands.
Proper citation: Conservation (RRID:SCR_016064) Copy
Software tool for genome and metagenome distance estimation using MinHash. Reduces large sequences and sequence sets to small, representative sketches, from which global mutation distances can be rapidly estimated.
Proper citation: Mash (RRID:SCR_019135) 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
https://www.biotech.cornell.edu/core-facilities-brc/facilities/epigenomics-facility
Provides service that maps protein DNA interactions genome wide, tracks experimental metadata, and implements quality controlled data processing and research based analysis pipelines. Provides epigenomic and bioinformatic research resources and services that include sample preparation services and data generation. Open source platforms enable and reinforce FAIR data practices. Core is able to receive and process cell and tissue samples for various diagnostic epigenetic assays.
Proper citation: Cornell University BRC Epigenomics Core Facility (RRID:SCR_021287) 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
Open-source toolkit that enables the rapid creation of tailored, web-enabled data storage and provides a cohesive system for data management, visualization, and processing. At its core, Midas Platform is implemented as a PHP modular framework with a backend database (PostGreSQL, MySQL and non-relational databases). While the Midas Platform system can be installed and deployed without any customization, the framework has been designed with customization in mind. As building one system to fit all is not optimal, the framework has been extended to support plugins and layouts. Through integration with a range of other open-source toolkits, applications, or internal proprietary workflows, Midas Platform offers a solid foundation to meet the needs of data-centric computing. Midas Platform provides a variety of data access methods, including web, file system and DICOM server interfaces, and facilitates extending the methods in which data is stored to other relational and non-relational databases.
Proper citation: Midas Platform (RRID:SCR_002186) Copy
The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework.
Proper citation: LONI MiND (RRID:SCR_004820) Copy
http://www.sph.umich.edu/csg/abecasis/CaTS
Software tool for carrying out power calculations for large genetic association studies, including two stage genome wide association studies.
Proper citation: Calculator for Association with Two Stage design (RRID:SCR_007238) 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
SOCR designs, validates and freely disseminates knowledge. The Resource develops AI/ML tools, mathematical models, and end-to-end data analytic protocols for biomedical and health studies. It provides portable online aids for probability, statistics and health science education, promotes technology enhanced instruction, supports efficient statistical computing, supports AI-services, and advances predictive big data analytics. The SOCR platform includes repository of interactive apps, datasets and case-studies, computational tools, visualization approaches, instructional resources, learning materials, and curricular components. SOCR faculty, staff, and students support data and information science collaborations and analytic partnerships involving biomedical, healthcare, and biostatistical investigations.
Proper citation: University of Michigan Statistics Online Computational Resource Core Facility (RRID:SCR_022917) Copy
https://www.cores.emory.edu/iemc/
Core helps investigators use the latest technologies on structural research in their projects. Provides expertise in experimental needs.
Proper citation: Emory University Robert P. Apkarian Integrated Electron Microscopy Core Facility (RRID:SCR_023537) Copy
NIH-funded resource that provides information about how human genetic variation affects response to medications. PharmGKB collects, curates and disseminates knowledge about clinically actionable gene-drug associations and genotype-phenotype relationships.
Proper citation: PharmKGB (RRID:SCR_025580) Copy
https://sparc.science/about/consortia/precision
Project titled Program to Reveal and Evaluate Cells-to-gene Information that Specify Intricacies, Origins, and Nature of Human Pain (PRECISION) Network to develop meaningful resource for knowledge transfer, and to integrate and share Human Pain Associated Genes and Cell Datasets. Building knowledge platform to visualize, query, and interact with these data will support researchers and help accelerate dissemination of vital data to the larger scientific community. These goals align with NIH Helping to End Addiction Long-term (HEAL) Initiative, which seeks to accelerate the discovery and successful translation of non-addictive pain therapeutics. PRECISION Human Pain Network will leverage prior interdisciplinary collaboration to create workflows, tools, and infrastructure to define data and metadata types, to improve data management and sharing, and to integrate datasets and visualization tools.
Proper citation: NIH PRECISION Human Pain Network (RRID:SCR_025458) Copy
https://www.ou.edu/structuralbiology/cobre-core-facilities/mcl
Offers access to instrumentation, training and services for structure determination of macromolecular molecules using single crystal X-ray diffraction and/or cryo-EM Single Particle Analysis (SPA). Instrumentation is available for initial crystallization trials, optimization of crystallization, single crystal X-ray diffraction and data collection at synchrotron radiation facilities, as well as electron microscopy grid preparation for cryo-EM (SPA), screening and data collection using a Thermo Scientific Tundra Cryo-TEM and assistance for data collection at national laboratories.
Proper citation: University of Oklahoma Biomolecular Structure Core Facility (RRID:SCR_028074) Copy
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