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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.
Collection of chemical compounds and associated information that were automatically extracted by text mining content of PubMed and PubChem databases. Unifies chemical lists from metabolomics, systems biology, environmental epidemiology, occupational expossure, toxiology and nutrition fields.
Proper citation: Blood Exposome Database (RRID:SCR_017610) Copy
http://www.dian-info.org/default.htm
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. An international research partnership of leading scientists determined to understand a rare form of Alzheimers disease that is caused by a gene mutation and to establish a research database and tissue repository to support research on Alzheimers disease by other investigators around the world. One goal of DIAN is to study possible brain changes that occur before Alzheimers disease is expressed in people who carry an Alzheimers disease mutation. Other family members without a mutation will serve as a comparison group. People in families in which a mutation has been identified will be tracked in order to detect physical or mental changes that might distinguish people who inherited the mutation from those who did not. DIAN currently involves eleven outstanding research institutions in the United States, United Kingdom, and Australia. John C. Morris, M.D., Friedman Distinguished Professor of Neurology at Washington University School of Medicine in St. Louis, is the principal investigator of the project., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: DIAN - Dominantly Inherited Alzheimer Network (RRID:SCR_000812) Copy
Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.
Proper citation: UniProt (RRID:SCR_002380) Copy
Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf.
Proper citation: MITOMAP - A human mitochondrial genome database (RRID:SCR_002996) Copy
http://www.nitrc.org/projects/sri24/
An MRI-based atlas of normal adult human brain anatomy, generated by template-free nonrigid registration from images of 24 normal control subjects. The atlas comprises T1, T2, and PD weighted structural MRI, tissue probability maps (GM, WM, CSF), maximum-likelihood tissue segmentation, DTI-based measures (FA, MD, longitudinal and transversal diffusivity), and two labels maps of cortical regions and subcortical structures. The atlas is provided at 1mm isotropic image resolution in Analyze, NIFTI, and Nrrd format. We are also providing an experimental packaging for use with SPM8.
Proper citation: SRI24 Atlas: Normal Adult Brain Anatomy (RRID:SCR_002551) Copy
Cell repository for Alzheimer's disease that collects and maintains biological specimens and associated data. Its data is derived from large numbers of genetically informative, phenotypically well-characterized families with multiple individuals affected with Alzheimer's disease, as well as individuals for case-control studies.
Proper citation: National Cell Repository for Alzheimer's Disease (RRID:SCR_007313) Copy
Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated.
Proper citation: Open Access Series of Imaging Studies (RRID:SCR_007385) Copy
http://www.nia.nih.gov/research/nonhuman-primate-tissue-bank-handbook
A repository of tissue collected from nonhuman primate (NHP) species under contractual arrangement with Wisconsin National Primate Research Center (WI NPRC). NIA''''s Nonhuman Primate Tissue Bank collects and archives tissue from necropsies performed at primate centers nationwide. The goal is to collect various tissues from aged monkeys with smaller amounts of the same tissues from young and middle-aged monkeys. Tissue will be provided as: (1) fresh frozen, stored at ����?��������??80 degrees Celsius; (2) formalin fixed; or (3) fresh frozen tissue in OCT medium.Most frozen tissues are provided in approximately 1 gram of tissue per vial. Fixed tissue is available as slides (sections) from paraffin-embedded blocks. Slides can be stained if requested. Tissue from NIA''''s Nonhuman Primate Tissue Bank is available to investigators at academic and nonprofit research institutions who are engaged in funded research on aging. The project name and funding source must accompany all orders. The NIA will not be able to ship non-human primate tissue outside of the United States or US territories. Investigators at for-profit entities are not eligible to purchase tissue from NIA''''s Nonhuman Primate Tissue Bank unless it is for a Small Business Innovation Research grant from NIA. NIA provides the health information as given by the donor site and cannot guarantee other aspects of the health status not explicitly stated in the Vital Statistics Information Sheet. Concerns about the specific health status of donor animals should be indicated on the order form.
Proper citation: NIA Nonhuman Primate Tissue Bank (RRID:SCR_007324) Copy
http://senselab.med.yale.edu/odordb
OdorDb is a database of odorant molecules, which can be searched in a few different ways. One can see odorant molecules in the OdorDB, and the olfactory receptors in ORDB that they experimentally shown to bind. You can search for odorant molecules based on their attributes or identities: Molecular Formula, Chemical Abstracts Service (CAS) Number and Chemical Class. Functional studies of olfactory receptors involve their interactions with odor molecules. OdorDB contains a list of odors that have been identified as binding to olfactory receptors.
Proper citation: Odor Molecules DataBase (RRID:SCR_007286) Copy
http://senselab.med.yale.edu/odormapdb
OdorMapDB is designed to be a database to support the experimental analysis of the molecular and functional organization of the olfactory bulb and its basis for the perception of smell. It is primarily concerned with archiving, searching and analyzing maps of the olfactory bulb generated by different methods. The first aim is to facilitate comparison of activity patterns elicited by odor stimulation in the glomerular layer obtained by different methods in different species. It is further aimed at facilitating comparison of these maps with molecular maps of the projections of olfactory receptor neuron subsets to different glomeruli, especially for gene targeted animals and for antibody staining. The main maps archived here are based on original studies using 2-deoxyglucose and on current studies using high resolution fMRI in mouse and rat. Links are also provided to sites containing maps by other laboratories. OdorMapDB thus serves as a nodal point in a multilaboratory effort to construct consensus maps integrating data from different methodological approaches. OdorMapDB is integrated with two other databases in SenseLab: ORDB, a database of olfactory receptor genes and proteins, and OdorDB, a database of odor molecules that serve as ligands for the olfactory receptor proteins. The combined use of the three integrated databases allows the user to identify odor ligands that activate olfactory receptors that project to specific glomeruli that are involved in generating the odor activity maps.
Proper citation: Olfactory Bulb Odor Map DataBase (OdorMapDB) (RRID:SCR_007287) Copy
https://portal.brain-map.org/explore/seattle-alzheimers-disease
Open atlas based on single cell profiling technologies with quantitative neuropathology and deep clinical phenotyping from middle temporal gyrus from neurotypical reference brains and brains from SEA-AD aged cohort that span spectrum of Alzheimer’s disease. Produced via collaboration between Allen Institute for Brain Science, University of Washington Alzheimer Disease Research Center and Kaiser Permanente Washington Health Research Institute.
Proper citation: Seattle Alzheimer Disease Brain Cell Atlas (RRID:SCR_023110) Copy
http://neurogenetics.nia.nih.gov
A suite of web-based open source software programs for clinical and genetic study. The aims of this software development in the Laboratory of Neurogenetics, NIA, NIH are * Build retrievable clinical data repository * Set up genetic data bank * Eliminate redundant data entries * Alleviate experimental error due to sample mix-up and genotyping error. * Facilitate clinical and genetic data integration. * Automate data analysis pipelines * Facilitate data mining for genetic as well as environmental factors associated with a disease * Provide an uniformed data acquisition framework, regardless the type of a given disease * Accommodate the heterogeneity of different studies * Manage data flow, storage and access * Ensure patient privacy and data confidentiality/security. The GERON suite consists of several self contained and yet extensible modules. Currently implemented modules are GERON Clinical, Genotyping, and Tracking. More modules are planned to be added into the suite, in order to keep up with the dynamics of the research field. Each module can be used separately or together with others into a seamless pipeline. With each module special attention has been given in order to remain free and open to the academic/government user., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: GERON (RRID:SCR_008531) Copy
http://www.nitrc.org/projects/efficient_pt
A Matlab implementation for efficient permutation testing by using matrix completion.
Proper citation: Efficient Permutation Testing (RRID:SCR_014104) Copy
https://knightadrc.wustl.edu/professionals-clinicians/request-center-resources/
Provides on request resources including Data: clinical and cognitive measures as well as MRI and amyloid imaging scans; Tissue: frozen brain tissue, paraffin brain sections, antemortem CSF, DNA, fibroblast, dermal fibroblasts, plasma (fasting and non-fasting) and iPSC; Participants: eligible participants may be invited to enroll in research of other investigators after appropriate review. Researchers can use the request portal to review Center guidelines and policies; view available data and tissue; access data tables and codebooks; and submit request for resources.
Proper citation: Washington University School of Medicine Knight ADRC Request Center Resources Core Facility (RRID:SCR_025254) Copy
https://github.com/bsml320/Scupa/
Software R package for immune cell polarization assessment of scRNA-seq data. Single-cell unified polarization assessment of immune cells using single-cell foundation model. Used for comprehensive immune cell polarization analysis.
Proper citation: Scupa (RRID:SCR_025755) Copy
https://pypi.org/project/SpaGCN/
Software graph convolutional network to integrate gene expression and histology to identify spatial domains and spatially variable genes. SpaGCN integrates information from gene.
Proper citation: SpaGCN (RRID:SCR_025978) Copy
https://github.com/cafferychen777/ggpicrust2
Software R package for analyzing and interpreting results of PICRUSt2 functional prediction. Offers range of features, including pathway name/description annotations, advanced differential abundance methods, and visualization of differential abundance results. Used for PICRUSt2 predicted functional profile analysis and visualization.
Proper citation: ggpicrust2 (RRID:SCR_025965) Copy
https://github.com/j-rub/scVital
Software tool to embed scRNA-seq data into species-agnostic latent space to overcome batch effect and identify cell states shared between species. Deep learning algorithm for cross-species integration of scRNA-seq data.
Proper citation: scVital (RRID:SCR_026215) Copy
Portal provides information about nationwide study of more than 50,000 individuals to determine factors that predict disease severity and long-term health impacts of COVID-19.
Proper citation: Collaborative Cohort of Cohorts for COVID-19 Research (RRID:SCR_026322) Copy
https://github.com/Washington-University/HCPpipelines
Software package as set of tools, primarily shell scripts, for processing multi-modal, high-quality MRI images for the Human Connectome Project. Minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space.
Proper citation: HCP Pipelines (RRID:SCR_026575) Copy
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