Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
App for searching human and mimivirus homologous proteins Resource Report Resource Website 1+ mentions |
App for searching human and mimivirus homologous proteins (RRID:SCR_022140) | data access protocol, software resource, web service | Web interactive and searchable genome wide comparison tool for browsing human and mimivirus homologous proteins. User friendly Shinny app helps users browse protein sequence homology between humans and mimivirus at genome wide level for querying new homologs and generating new hypotheses. | genome wide comparison tool, browsing human and mimivirus homologous proteins, Shinny app, protein sequence homology | NIH R00 CA225633 | Free, Freely available | SCR_022140 | 2026-08-04 09:44:57 | 1 | ||||||||||
|
Harmony Resource Report Resource Website 100+ mentions |
Harmony (RRID:SCR_022206) | data processing software, software application, software resource, data analysis software | Software R package to project cells into shared embedding in which cells group by cell type rather than dataset specific conditions. Harmony simultaneously accounts for multiple experimental and biological factors. Used for integration of single cell data. | cells grouping, cell type, experimental factors, biological factors, single cell data integration | is used by: harmonypy | NIAID U19 AI111224; NIH R01 AR063759; NIH UH2 AR067677; NIH T32 AR007530 |
PMID:31740819 | Free, Available for download, Freely available | SCR_022206 | Harmony for immunogenomics | 2026-08-04 09:44:58 | 171 | |||||||
|
ImageJ Resource Report Resource Website 10000+ mentions |
ImageJ (RRID:SCR_003070) | data processing software, software resource, software application, image processing software, image analysis software, software toolkit | Open source Java based image processing software program designed for scientific multidimensional images. ImageJ has been transformed to ImageJ2 application to improve data engine to be sufficient to analyze modern datasets. | image, data, processing, analysis, datasets, visualization, |
uses: NeuriteTracer is used by: Mouse Behavioral Analysis Toolbox is used by: Focinator is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: SoftCite is related to: uManager is related to: Fiji is related to: NIH Image is related to: TrakEM2 is related to: BioVoxxel Toolbox is related to: Golddigger is related to: Analyze Complex Roots Tool is related to: Analyze Spheroid Cell Invasion In 3D Matrix is related to: PyImageJ has parent organization: Research Services Branch National Institutes of Mental Health has plug in: Diffusing Tensor Imaging in Java has plug in: OrientationJ has plug in: GRatio for ImageJ has plug in: BioVoxxel Toolbox has plug in: WormSizer has plug in: MultiStackReg has plug in: Iterative Deconvolve 3D has plug in: Thunder STORM has plug in: Whisker tracking macro has plug in: 3D Roi Manager has plug in: 3D Objects Counter has plug in: BoneJ has plug in: QuickFigures has plug in: ObjectJ has plug in: ADAPT has plug in: DHM Utilities has plug in: Sholl Analysis has plug in: nTracer has plug in: IHC Profiler has plug in: MicrobeJ has plug in: AccPbFRET has plug in: RiFRET has plug in: JaCoP has plug in: Cell Counter Plugin for ImageJ has plug in: Puncta Analyzer has plug in: SpinalJ has plug in: ColonyArea works with: Intensity Ratio Nuclei Cytoplasm Tool works with: 3D ImageJ Suite works with: Wound Healing Tool works with: MorphoLibJ |
NINDS ; NIGMS RC2 GM092519; Wellcome Trust Strategic Award 095931; the Laboratory for Optical and Computational Instrumentation ; the Morgridge Institute for Research ; NIH ; NIMH |
PMID:22930834 PMID:29187165 DOI:10.1038/nmeth.2089 |
Free, Available for download, Freely available | ascl:1206.013, rid_000070, Q1659584, 2012ascl.soft06013R, nif-0000-30467, SCR_018407 | https://imagej.net/ij/, http://rsbweb.nih.gov/ij, https://imagej.nih.gov/ij/download.html, https://imagej.nih.gov/ij/, https://sources.debian.org/src/imagej/, | https://imagej.nih.gov/ij/, http://www.nitrc.org/projects/incf_imagej, | SCR_003070 | Image J, ImageJ - Image Processing and Analysis in Java, ImageJ2, ImageJ | 2026-08-04 09:40:48 | 27070 | ||||
|
Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) Resource Report Resource Website 50+ mentions |
Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) (RRID:SCR_003743) | AMP T2D, T2DKP | portal, topical portal, storage service resource, disease-related portal, data repository, service resource, database, data or information resource | Portal and database of DNA sequence, functional and epigenomic information, and clinical data from studies on type 2 diabetes and analytic tools to analyze these data. .Provides data and tools to promote understanding and treatment of type 2 diabetes and its complications. Used for identifying genetic biomarkers correlated to Type 2 diabetes and development of novel drugs for this disease. | type 2 diabetes, diabetes, knowledge, portal, database, repository, type II, diabetic, genetic, data, analysis, FASEB list |
is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: Consortia-pedia is listed by: NIDDK Information Network (dkNET) is related to: Accelerating Medicines Partnership - Alzheimers is related to: Accelerating Medicines Partnership - Alzheimers is related to: Accelerating Medicines Partnership Autoimmune Diseases of Rheumatoid Arthritis and Lupus is related to: Type 1 Diabetes Knowledge Portal is related to: Common Metabolic Diseases Knowledge Portal has parent organization: Foundation for the National Institutes of Health has parent organization: Accelerating Medicines Partnership |
Type 2 diabetes, Diabetes | NIH ; University of Michigan ; Broad Institute ; Fundacion Carlos Slim ; NIDDK |
Free, Freely available | SCR_014533, nlx_157976 | http://www.nih.gov/science/amp/type2diabetes.htm | SCR_003743 | , AMP Diabetes, AMP, T2D, AMP-T2D, Type 2 Diabetes Knowledge Portal, Accelerating Medicines Partnership Type 2 Diabetes, Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal, The AMP-T2D Knowledge Portal, AMP T2D, AMP Type 2 Diabetes | 2026-08-04 09:40:59 | 79 | ||||
|
ToRNADo Resource Report Resource Website 50+ mentions |
ToRNADo (RRID:SCR_002706) | data processing software, data visualization software, software application, software resource | A software application for animating and visualising RNA and other macromolecular structures. Users are able to use their intuition to interactively refold RNA structures and produce morphs from one structure to another. It allow researchers to explore and manipulate molecular structures Imported from BiositeMaps registry, to better understand structure:function relationships, folding pathways, and molecular motion. | duplex, protein, rna, visualization | has parent organization: Stanford University; Stanford; California | NIH ; NIGMS R01GM107340; NIGMS U54GM072970 |
Free, Available for download, Freely available | nif-0000-23335 | SCR_002706 | 2026-08-04 09:40:43 | 95 | ||||||||
|
Cell Type Ontology Resource Report Resource Website 1+ mentions |
Cell Type Ontology (RRID:SCR_004251) | CL | ontology, data or information resource, controlled vocabulary | Ontology designed as a structured controlled vocabulary for cell types. It was constructed for use by the model organism and other bioinformatics databases. It includes cell types from prokaryotes, mammals, and fungi. The ontology is available in the formats adopted by the Open Biological Ontologies umbrella and is designed to be used in the context of model organism genome and other biological databases. | cell ontology, ontology repository |
is listed by: BioPortal is listed by: Ontology Lookup Service is related to: CELDA Ontology is related to: OBO is related to: Cell Line Knowledge Base |
BBSRC ; MRC ; NIH ; NSF DBI-9978564; NSF PGRP-0321666 |
PMID:15693950 | Free, Freely available | nlx_26501 | http://purl.bioontology.org/ontology/CL | http://cellontology.org, http://www.obofoundry.org/cgi-bin/detail.cgi?id=cell, | SCR_004251 | cellontology.org, Obo-cell-type, Cell Ontology | 2026-08-04 09:41:06 | 6 | |||
|
REDCap Resource Report Resource Website 10000+ mentions |
REDCap (RRID:SCR_003445) | REDCap | web application, software resource | Web application that allows users to build and manage online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a "data dictionary" template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. REDCap has a quick and easy software installation process, so that you can get REDCap running and fully functional in a matter of minutes. Several language translations have already been compiled for REDCap (e.g. Chinese, French, German, Portuguese), and it is anticipated that other languages will be available in full versions of REDCap soon. The REDCap Shared Library is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions. | online survey, survey, database, translational research, informatics, workflow, clinical research, clinical, metadata, biomedical, online form, data capture, management, analysis, data sharing, data collection, data standard, best practice, data collection instrument, electronic data capture |
is listed by: Biositemaps is listed by: SoftCite is related to: Clinical and Translational Science Awards Consortium has parent organization: Vanderbilt University; Tennessee; USA works with: redcap-completion works with: aux-file-upload |
NIH ; UL1 RR029882 ; UL1 TR000062 ; UL1 RR026314 ; UL1 TR000077 ; UL1 RR024975 ; UL1 TR000445 ; G12 RR003051 ; G12 MD007600 ; UL1 RR024150 ; UL1 TR000135 ; R24 HD042849 ; UL1 RR024989 ; UL1 TR000439 |
PMID:23149159 PMID:18929686 |
Software is available at no cost for REDCap Consortium Partners. If not in the consortium, See the Become a Partner page to find more information about joining our group. | nif-0000-33254 | SCR_003445 | RED Cap, Research Electronic Data Capture, The REDCap Consortium | 2026-08-04 09:40:54 | 20615 | |||||
|
TeamTat Resource Report Resource Website 1+ mentions |
TeamTat (RRID:SCR_023439) | web application, software resource | Web based collaborative text annotation tool. Used for managing multi-user, multi-label document annotation. Project managers can specify annotation schema for entities and relations and select annotators and distribute documents anonymously to prevent bias. Document input format can be plain text, PDF or BioC (uploaded locally or automatically retrieved from PubMed/PMC), and output format is BioC with inline annotations. Displays figures from full text. | Text annotation, team collaboration, collaborative text annotation, | MSIT ; NIH |
PMID:32383756 | Free, Freely available | https://github.com/ncbi-nlp/TeamTat | SCR_023439 | 2026-08-04 09:45:16 | 3 | ||||||||
|
Dynamic Regulatory Events Miner Resource Report Resource Website 1+ mentions |
Dynamic Regulatory Events Miner (RRID:SCR_003080) | DREM | data processing software, software application, software resource | The Dynamic Regulatory Events Miner (DREM) allows one to model, analyze, and visualize transcriptional gene regulation dynamics. The method of DREM takes as input time series gene expression data and static transcription factor-gene interaction data (e.g. ChIP-chip data), and produces as output a dynamic regulatory map. The dynamic regulatory map highlights major bifurcation events in the time series expression data and transcription factors potentially responsible for them. DREM 2.0 was released and supports a number of new features including: * new static binding data for mouse, human, D. melanogaster, A. thaliana * a new and more flexible implementation of the IOHMM supports dynamic binding data for each time point or as a mix of static/dynamic TF input * expression levels of TFs can be used to improve the models learned by DREM * the motif finder DECOD can be used in conjuction with DREM and help find DNA motifs for unannotated splits * new features for the visualization of expressed TFs, dragging boxes in the model view, and switching between representations | transcription, gene regulation, dynamics, time series, gene expression, static, dynamic, transcription factor-gene interaction, chip-chip, transcription factor, regulatory network, hidden markov model, systems biology, gene regulatory network, times series expression data, dynamic network, chip-seq | has parent organization: Carnegie Mellon University; Pennsylvania; USA | NIH ; NIGMS 1RO1 GM085022; NIAID DNO1 AI-5001; NSF 0448453 |
PMID:22897824 | Free, Available for download, Freely available | nif-0000-30478 | SCR_003080 | Dynamic Regulatory Events Miner (DREM) | 2026-08-04 09:40:48 | 5 | |||||
|
NIH Human Pluripotent Stem Cell Registry Resource Report Resource Website 1+ mentions |
NIH Human Pluripotent Stem Cell Registry (RRID:SCR_003149) | NIH Human Embryonic Stem Cell Registry | cell repository, material resource, biomaterial supply resource | A listing of human embryonic cell lines that are eligible for use in NIH funded research. Those lines that carry disease-specific mutations are noted as such under the line name. Total Eligible Lines = 200. The purpose of the Registry is to provide investigators with: # a unique NIH Code for each cell line that must be used when applying for NIH funding and # contact information to facilitate investigators' acquisition of stem cells. Before submitting a new grant application and supporting materials for consideration of a human embryonic stem cell line, scientists may wish to see what lines are already under consideration: * Human embryonic stem cell lines submitted to NIH that are being reviewed to determine if they may be used in NIH-supported research, http://grants.nih.gov/stem_cells/registry/pending.htm President George W. Bush required that the name of the registry be changed in his Executive Order #13435, issued on June 20, 2007. As a result of this Executive Order, the former National Institutes of Health Human Embryonic Stem Cell Registry will now be called the National Institutes of Health Human Pluripotent Stem Cell Registry. The registry will now include both human embryonic stem cells that were derived consistent with the President's policy of August 9, 2001 and human pluripotent stem cells derived from non-embryonic sources. | embryonic, cell, human, registry, stem cell, embryonic stem cell, cell line, human embryonic stem cell line, human pluripotent stem cell, adult, fetal, mutation |
is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: Wisconsin International Stem Cell Bank is related to: National Stem Cell Bank is related to: NIF Data Federation is related to: Integrated Cell Lines has parent organization: National Institutes of Health |
NIH ; NIH Blueprint for Neuroscience Research |
Free, Freely available | nif-0000-00565 | SCR_003149 | NIH Human Embryonic Stem Cell Registry, National Institutes of Health Human Pluripotent Stem Cell Registry | 2026-08-04 09:40:49 | 7 | ||||||
|
Brain atlas of the common marmoset Resource Report Resource Website |
Brain atlas of the common marmoset (RRID:SCR_005135) | Brain Atlas of the Common Marmoset | atlas, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 1, 2019. The first brain atlas for the common marmoset to be made available since a printed atlas by Stephan, Baron and Schwerdtfeger published in 1980. It is a combined histological and magnetic resonance imaging (MRI) atlas constructed from the brains of two adult female marmosets. Histological sections were processed from Nissl staining and digitized to produce an atlas in a large format that facilitates visualization of structures with significant detail. Naming of identifiable brain structures was performed utilizing current terminology. For the present atlas, an adult female was perfused through the heart with PBS followed by 10% formalin. The brain was then sent to Neuroscience Associates of Knoxville, TN, who prepared the brain for histological analysis. The brain was cut in the coronal (frontal) plane at 40 microns, every sixth section stained for Nissl granules with thionine and every seventh section stained for myelinated fibers with the Weil technique. The mounted sections were photographed at the NIH (Medical Arts and Photography Branch). The equipment used was a Nikon Multiphot optical bench with Zeiss Luminar 100 mm lens, and scanned with a Better Light 6100 scan back driven by Better Light Viewfinder 5.3 software. The final images were saved as arrays of 6000x8000 pixels in Adobe Photoshop 6.0. A scale in mm provided with these images permitted construction of the final Nissl atlas files with a horizontal and vertical scale. Some additional re-touching (brightness and contrast) was done with Adobe Photoshop Elements 2.0. The schematic (labeled) atlas plates were created from the Nissl images. The nomenclature came almost exclusively from brainmaps.org, where a rhesus monkey brain with structures labeled can be found. The labels for the MRI images were placed by M. R. Zametkin, under supervision from Dr. Newman. | callithrix jacchus jacchus, marmoset, primate neuroanatomy, callitrichidae, female, forebrain, thalamus, midbrain, brainstem, magnetic resonance imaging, adult, callithrix, histological section, nissl staining, brain, mri | has parent organization: NICHD Developmental Neuroethology - Laboratory of Comparative Ethology | NIH ; NICHD ; NINDS |
PMID:19744521 | THIS RESOURCE IS NO LONGER IN SERVICE. | nlx_144140 | SCR_005135 | Brain Atlas of the Common Marmoset Callithrix jacchus jacchus | 2026-08-04 09:41:17 | 0 | |||||
|
NIH SciEd Blog Resource Report Resource Website |
NIH SciEd Blog (RRID:SCR_005499) | NIH SciEd Blog | blog, narrative resource, data or information resource | A blog put out by the NIH Office of Science Education. | science, education, adult human, young human, adolescent, child | has parent organization: NIH Office of Science Education | NIH | nlx_146224 | SCR_005499 | National Institutes of Health SciEd Blog | 2026-08-04 09:41:22 | 0 | |||||||
|
FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | data analysis service, analysis service resource, production service resource, service resource | A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool | gene, gene ontology, statistical analysis, web service, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Roth Laboratory |
NIH ; Canadian Institute for Advanced Research ; NINDS NS054052; NINDS NS035611; NHLBI HL081341; NHGRI HG0017115; NHGRI HG004233; NHGRI HG003224 |
PMID:19717575 PMID:14668247 |
Free for academic use, Acknowledgement requested | biotools:funcassociate, OMICS_02264, nlx_149233 | http://llama.mshri.on.ca/cgi/func/funcassociate, https://bio.tools/funcassociate | SCR_005768 | 2026-08-04 09:41:26 | 36 | |||||
|
MethylomeDB Resource Report Resource Website 1+ mentions |
MethylomeDB (RRID:SCR_005583) | MethylomeDB | database, data or information resource | A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database. | brain, dna methylation, dorsal lateral prefrontal cortex, ventral prefrontal cortex, auditory cortex, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
NIH ; NHGRI HG002915; NIMH MH074118 |
PMID:22140101 | OMICS_01843, nlx_146210, biotools:methylomedb | https://bio.tools/methylomedb | SCR_005583 | MethylomeDB - the Brain Methylome Database, Brain Methylome Database | 2026-08-04 09:41:23 | 1 | |||||
|
BARD Resource Report Resource Website 100+ mentions |
BARD (RRID:SCR_006283) | BARD | database, data or information resource | Database that allows scientists without specialized training to effectively utilize Molecular Libraries Program (MLP) data. It allows the research community to utilize and develop new chemical probes to explore biological functions by building a central, permanently accessible link to all aspects of chemical biology data and analyses. The project is split into two basic segments, the first segment delivering functionality for a data dictionary, as well as assay protocol and data entry tools. The second builds a data warehouse for analysis and visualization, accessible through a public RESTful API. They will initially deploy two clients that will use this API - a web-based interface and a desktop application. Advanced access to data and the platforms will also be available to support plug-in development and the repackaging of data by others. Initially the project will focus on small molecule assays. Features: * allow scientists to annotate assay data using a common, shared language * provide facile access to data, integrating existing chemical biology and computational resources * enable meaningful analysis and interpretation of discovery data by the research community * support hypothesis generation for iterative probe- and drug-discovery projects * inform the entire small molecule discovery and development process, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | chemical biology, chemical probe, small molecule, drug discovery, data set, FASEB list |
is listed by: 3DVC is related to: Molecular Libraries Program has parent organization: Broad Institute has parent organization: National Institutes of Health |
NIH | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151903 | SCR_006283 | BioAssay Research Database, BioAssay Research Database (BARD) | 2026-08-04 09:41:33 | 135 | ||||||
|
NIH Figshare Archive Resource Report Resource Website 1+ mentions |
NIH Figshare Archive (RRID:SCR_017580) | NIH Figshare | storage service resource, data repository, service resource, database, data or information resource | Repository to make datasets resulting from NIH funded research more accessible, citable, shareable, and discoverable. Data submitted will be reviewed to ensure there is no personally identifiable information in data and metadata prior to being published and in line with FAIR -Findable, Accessible, Interoperable, and Reusable principles. Data published on Figshare is assigned persistent, citable DOI (Digital Object Identifier) and is discoverable in Google, Google Scholar, Google Dataset Search, and more.Complited on July,2020. Researches can continue to share NIH funded data and other research product on figshare.com. | Respository, data, NIH funded, data set, FAIR |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is related to: FigShare is related to: FigsharePlus |
NIH | Restricted | SCR_017580 | NIH, Figshare, Fig Share, NIH Figshare, NIH Fig share, National Institute of Health | 2026-08-04 09:44:10 | 9 | |||||||
|
AmoebaDB Resource Report Resource Website 1+ mentions |
AmoebaDB (RRID:SCR_017592) | analysis service resource, production service resource, service resource, database, data or information resource | Integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. Contains genomes of three Entamoeba species and microarray expression data for E. histolytica. Integrates whole genome sequence and annotation and includes experimental data and environmental isolate sequences provided by community researchers. | Genomic, functional, database, Entamoeba, Acanthamoeba, parasite, microarray, expression, data, experimental, isolate, sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Eukaryotic Pathogen Database Resources |
NIDA ; Department of Health and Human Services ; NIH |
PMID:20974635 | Free, Freely available | biotools:amoebadb, r3d100012457 | https://bio.tools/amoebadb, https://doi.org/10.17616/R3PX9Q | SCR_017592 | 2026-08-04 09:44:11 | 7 | ||||||
|
Distributed Archives for Neurophysiology Data Integration Resource Report Resource Website 50+ mentions |
Distributed Archives for Neurophysiology Data Integration (RRID:SCR_017571) | DANDI | storage service resource, data repository, service resource | Free, cloud-based platform for publishing, sharing, and processing standardized neurophysiology data, primarily using the Neurodata Without Borders (NWB) format. Supported by the BRAIN Initiative, it enables researchers to collaborate, reuse datasets, and adhere to FAIR data principles. | publishing data, sharing data, processing data, neurophysiology data, BRAIN Initiative, |
is used by: BICCN is recommended by: BRAIN Initiative is listed by: DataCite is listed by: FAIRsharing is related to: BRAIN Initiative is related to: Allen Institute for Brain Science is related to: NeuroSift is related to: Ecosystem for Multi-modal Brain-behavior Experimentation and Research |
NIH R24 MH117295 | Free, Freely available | DOI:10.25504/FAIRsharing.f2c119, DOI:10.48324, r3d100013638 | https://doi.org/10.48324/, https://dx.doi.org/10.48324/, https://fairsharing.org/10.25504/FAIRsharing.f2c119, https://doi.org/10.17616/R31NJN0M | SCR_017571 | 2026-08-04 09:44:09 | 52 | ||||||
|
LIGER Resource Report Resource Website 10+ mentions |
LIGER (RRID:SCR_018100) | data processing software, software application, software resource, data analysis software | Software R package for integrating and analyzing multiple single-cell datasets. It relies on integrative non-negative matrix factorization to identify shared and dataset-specific factors. Used for analysis of multiple scRNA-seq data sets. | Single cell genomic, data integration, dataset, cell identity, integrative analysis, gene regulation, disease state, scRNA seq analysis, shared factor among data set, | has parent organization: Broad Institute | NIH | PMID:31178122 | Free, Available for download, Freely available | https://github.com/MacoskoLab/liger | SCR_018100 | Linked Inference of Genomic Experimental Relationships | 2026-08-04 09:44:20 | 12 | ||||||
|
Multi-omics Visualization Platform Resource Report Resource Website 1+ mentions |
Multi-omics Visualization Platform (RRID:SCR_018077) | MVP | data processing software, data analysis software, software resource, software application, data visualization software | Software tool as plugin to enable viewing of results produced from workflows integrating genomic sequencing data and mass spectrometry proteomics data. Plugin to Galaxy bioinformatics workbench which enables visualization of mass spectrometry-based proteomics data integrated with genomic and/or transcriptomic sequencing data. Useful for verifying quality of results and characterizing novel peptide sequences identified using multi-omic proteogenomic approach. | Proteogenomics, data, multi-omics, mass spectrometry, proteomics, genomics, transcriptomics, Galaxy Project, data visualization, bio.tools |
is listed by: bio.tools is listed by: Debian |
NIH U24 CA199347 | Free, Available for download, Freely available | biotools:mvp_a | http://galaxyp.org, https://bio.tools/mvp_a | SCR_018077 | Multi-omics Visualization Platform, Galaxy MVP | 2026-08-04 09:44:20 | 1 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.