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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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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FlowCal Resource Report Resource Website 1+ mentions |
FlowCal (RRID:SCR_018140) | software application, data processing software, software resource | Open source software tool for automatically converting flow cytometry data from arbitrary to calibrated units. Can be run using intuitive Microsoft Excel interface, or customizable Python scripts. Software accepts Flow Cytometry Standard (FCS) files as inputs and is compatible with different calibration particles, fluorescent probes, and cell types. Automatically gates data, calculates common statistics, and produces plots. | Converting flow cytometry data, arbitrary unit, calibrated unit, data gating, statistic, plot, data, bio.tools |
is listed by: Debian is listed by: bio.tools |
NSF EFRI 1137266; NSF MCB 1244135; Office of Naval Research MURI N000141310074; Office of Naval Research YIP N000141410487; NIAID R21 AI115014; Welch Foundation ; NSF Graduate Research Fellowship DGE 0940902; NDSEG Fellowship |
PMID:27110723 | Free, Available for download, Freely available | biotools:flowcal | https://bio.tools/flowcal | SCR_018140 | Python Flow Cytometry Calibration Library | 2026-02-15 09:22:11 | 5 | |||||
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ScaffMatch Resource Report Resource Website 1+ mentions |
ScaffMatch (RRID:SCR_017025) | software application, data processing software, software resource | Software tool as scaffolding algorithm based on maximum weight matching able to produce high quality scaffolds from next generation sequencing data (reads and contigs). Able to handle reads with both short and long insert sizes. | scaffolding, algorithm, maximum, weight, matching, next, generation, sequencing, data, read, contig, bio.tools |
uses: Python Programming Language is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Georgia State University; Georgia; USA |
NSF IIS 0916401 | PMID:25890305 | Free, Available for download, Freely available | biotools:scaffmatch, OMICS_08198 | http://alan.cs.gsu.edu/NGS/?q=content/scaffmatch https://bio.tools/scaffmatch |
SCR_017025 | 2026-02-15 09:21:54 | 1 | ||||||
|
CloudReg Resource Report Resource Website |
CloudReg (RRID:SCR_022795) | software application, image analysis software, data processing software, software resource | Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration. | brain volume, nonlinear registration, automatic terabyte scale, cross modal brain volume registration, image analysis pipeline, volumetric datasets with artifacts | is used by: BICCN | NIA R01 AG066184; NSF EEC 1707298; NIMH U19MH114821; Kavli Neuroscience Discovery Institute ; Karen Toffler Charitable Trust ; NIMH R01 MH099647; NIMH K08MH113039; NIDA 1K99DA050662; AP Giannini Foundation ; NINDS K99 NS116122; NIA P01AG009973; Johns Hopkins University Kavli Neuroscience Discovery Institute Postdoctoral Fellowship ; Microsoft Research |
PMID:34253927 | Free, Available for download, Freely available | https://github.com/neurodata/CloudReg/ | SCR_022795 | 2026-02-15 09:22:57 | 0 | |||||||
|
Kourami Resource Report Resource Website 1+ mentions |
Kourami (RRID:SCR_022280) | software application, data processing software, software resource | Software graph guided assembly for novel human leukocyte antigen allele discovery. Graph guided assembly for HLA haplotypes covering typing exons using high coverage whole genome sequencing data.Implemented in Java and supported on Linux and Mac OS X. | graph guided assembly, novel human leukocyte antigen allele discovery, HLA alleles, HLA alleles assembly | Gordon and Betty Moore Foundation ; NSF CCF1256087; NSF CCF1319998; NHGRI R01HG007104 |
PMID:29415772 | Free, Available for download, Freely available | SCR_022280 | 2026-02-15 09:22:13 | 4 | |||||||||
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iSamples Resource Report Resource Website 1+ mentions |
iSamples (RRID:SCR_021750) | project portal, data or information resource, portal | Project to align physical sample identifiers. Used to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications. | Align physical sample identifiers, physical sample identifiers, align identifiers | NSF 2004839; NSF 2004562; NSF 2004642; NSF 2004815 |
DOI:10.1093/gigascience/giab028 | Free, Freely available | https://zenodo.org/communities/isamples?page=1&size=20 | SCR_021750 | internet of Samples | 2026-02-15 09:22:35 | 1 | |||||||
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Rascaf Resource Report Resource Website 1+ mentions |
Rascaf (RRID:SCR_022014) | software application, data processing software, software resource | Software tool for scaffolding with RNA-seq read alignments. Used for improving genome assembly with RNA sequencing data. | Scaffolding, RNA-seq data, scaffolding with RNAseq read alignments, improving genome assembly, RNA sequencing data | NSF IOS1339134 | DOI:10.3835/plantgenome2016.03.0027 | Free, Available for download, Freely available | SCR_022014 | 2026-02-15 09:22:38 | 3 | |||||||||
|
Lightning Pose Resource Report Resource Website |
Lightning Pose (RRID:SCR_024480) | software toolkit, software resource | Software video centric package for direct video manipulation. Semi supervised animal pose estimation algorithm, Bayesian post processing approach and deep learning package. Improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools. | OpenBehavior, animal pose estimation algorithm, Bayesian post processing approach, direct video manipulation, | is listed by: OpenBehavior | Gatsby Charitable Foundation ; NINDS K99NS128075; Irma T Hirschl Trust ; NINDS NS075023; NINDS U19NS123716; NSF ; Simons Foundation |
PMID:37162966 | Free, Available for download, Freely available | https://edspace.american.edu/openbehavior/project/lightningpose/ | SCR_024480 | 2026-02-15 09:23:30 | 0 | |||||||
|
CalC Resource Report Resource Website 10+ mentions |
CalC (RRID:SCR_014259) | software application, simulation software, software resource | A modeling tool for simulating intracellular calcium diffusion and buffering. CalC solves continuous reaction-diffusion PDEs describing the entry of calcium into a volume through point-like channels, and its diffusion, buffering and binding to calcium receptors. Its features include: being platform-independent; being operated by simple script; combinable with MATLAB; and providing real-time views. Demos and manuals are provided on the website. | simulation software, modeling tool, intracellular calcium diffusion, intracellular calcium buffering, pde | NSF 0417416; NSF 0817703; NSF 1517085 |
Free, Acknowledgement requested | SCR_014259 | Calcium Calculator | 2026-02-15 09:20:41 | 30 | |||||||||
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Digital Fish Library Resource Report Resource Website |
Digital Fish Library (RRID:SCR_008338) | DFL | image collection, training resource, data or information resource, database | A database of 3D magnetic resonance (MRI) images of fish accessible to scientists, educators and the general public via the web. The Marine Vertebrate Collection at the Scripps Institution of Oceanography provides the majority of the DFL specimens. | education, fish, 3d, anatomical, magnetic resonance imaging, marine, mri, oceanography, comparative anatomy | has parent organization: University of California at San Diego; California; USA | NSF DBI-0446389 | nif-0000-24963 | SCR_008338 | DFL - Digital Fish Library | 2026-02-15 09:19:47 | 0 | |||||||
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Human Reference Protein Interactome Project Resource Report Resource Website 10+ mentions |
Human Reference Protein Interactome Project (RRID:SCR_015670) | HuRI | portal, database, software resource, web application, project portal, data or information resource | Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies. | protein interactome, protein-protein interaction, ppi, pairwise combination, proteome, human reference | NHGRI R01/U01HG001715; NHGRI P50HG004233; NHLBI U01HL098166; NHLBI U01HL108630; NCI U54CA112962; NCI R33CA132073; NIH RC4HG006066; NICHD ARRA R01HD065288; NICHD ARRA R21MH104766; NICHD ARRA R01MH105524; NIMH R01MH091350; NSF CCF-1219007; NSERC RGPIN-2014-03892 |
PMID:25416956 | Freely Available, Free, Available for download | SCR_015670 | HuRI: The Human Reference Protein Interactome Mapping Project | 2026-02-15 09:21:22 | 20 | |||||||
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CytoMAP Resource Report Resource Website 10+ mentions |
CytoMAP (RRID:SCR_021227) | software application, data processing software, software resource, data analytics software, software toolkit, data analysis software | Software tool as spatial analysis software for whole tissue sections.Utilizes information on cell type and position to phenotype local neighborhoods and reveal how their spatial distribution leads to generation of global tissue architecture.Used to make advanced data analytic techniques accessible for single cell data with position information. | Histo cytometric multidimensional, analysis pipeline, whole tissue sections, spatial analysis, single cell data with position information, phenotype local neighborhoods, global tissue architecture | has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA | NIAID R01 AI134713; NIAID R21 AI142667; NIAID R01 AI134246; NIAID R01 AI076327; NIAID U19 AI135976; NIAID T32 AI10667; NIGMS T32 GM007270; NICHD T32 HD007233; NSF DGE 1762114 |
PMID:32320656 | Free, Available for download, Freely available | SCR_021227 | Histo-Cytometric Multidimensional Analysis Pipeline | 2026-02-15 09:22:31 | 22 | |||||||
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Computational Analysis of gene Family Evolution Resource Report Resource Website 10+ mentions |
Computational Analysis of gene Family Evolution (RRID:SCR_018924) | CAFE | software application, data processing software, data analysis software, software resource | Software tool for computational analysis of gene family evolution. Used for statistical analysis of evolution gene family sizes. Models evolution of gene family sizes over phylogeny. | Computational analysis, gene family evolution, evolution statistical analysis, gene family size, gene evolution, phylogeny | has parent organization: Indiana University; Indiana; USA | NHGRI R33 HG003070; NSF MCB 0528465; METACyt Initiative of Indiana University ; Lilly Endowment ; Inc |
PMID:16543274 | SCR_018924 | CAFE v2.0, CAFE v4.0, CAFE v3.0, CAFE v5.0, Computational Analysis of gene Family Evolution | 2026-02-15 09:22:24 | 16 | |||||||
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SuperSegger Resource Report Resource Website 1+ mentions |
SuperSegger (RRID:SCR_018532) | software application, data processing software, software resource, image analysis software, software toolkit | Software package as automated MATLAB based trainable image cell segmentation, fluorescence quantification and analysis suite. Used for high throughput time lapse fluorescence microscopy of in vivo bacterial cells. Robust image segmentation, analysis and lineage tracking of bacterial cells. | Image cell segmentation, fluorescence quantification, data analysis, high throughput, time lapse, fluorescence microscopy, bacteria cell, image segmentation |
is related to: MATLAB has parent organization: University of Washington; Seattle; USA |
University of Washington Royalty Research Fund ; Sloan BR2011‐110; NSF PHY‐084845; NSF MCB‐1151043‐CAREER; Danish National Research Foundation |
PMID:27569113 | Free, Available for download, Freely available | https://github.com/wiggins-lab/SuperSegger | SCR_018532 | 2026-02-15 09:22:14 | 3 | |||||||
|
Drop-seq tools Resource Report Resource Website 50+ mentions |
Drop-seq tools (RRID:SCR_018142) | software application, data processing software, data analysis software, software resource | Software Java tools for analyzing Drop-seq data. Used to analyze gene expression from thousands of individual cells simultaneously. Analyzes mRNA transcripts while remembering origin cell transcript. | Simultaneous analysis, Drop-seq data, gene expression, thousands individual cells |
is listed by: Debian has parent organization: Broad Institute |
Stanley Center for Psychiatric Research ; MGH Psychiatry Residency Research Program ; Stanley-MGH Fellowship in Psychiatric Neuroscience ; Stewart Trust Fellows Award ; Simons Foundation ; NHGRI P50 HG006193; Klarman Cell Observatory ; NIMH U01 MH105960; NIMH R25 MH094612; NICHD F32 HD075541; NSF ECS 0335765; NSF DMR 1310266; NSF DMR 1420570 |
PMID:26000488 | https://sources.debian.org/src/drop-seq-tools/ | SCR_018142 | Droplet sequencing tools, Droplet sequencing data analysis software tools | 2026-02-15 09:22:19 | 94 | |||||||
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VirtualPlant Resource Report Resource Website 1+ mentions |
VirtualPlant (RRID:SCR_022576) | web service, data access protocol, software resource | Software platform to support systems biology research. Integrates genomic data and provides visualization and analysis tools for exploration of genomic data. Provides tools to generate biological hypotheses. | genomic data integration, support systems biology, genomic data visualization and analysis | NSF DBI 0445666; NSF IOB 0519985; NSF MCB–0209754; FONDECYT ; Grape Genomics ; Millennium Nucleus for Plant Functional Genomics ; NIGMS R01 GM 032877; NIGMS 5F32GM75600 |
PMID:20007449 | Free, Available for download, Freely available | SCR_022576 | VirtualPlant 1.3 | 2026-02-15 09:22:48 | 2 | ||||||||
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Mutation Annotation and Genomic Interpretation Resource Report Resource Website |
Mutation Annotation and Genomic Interpretation (RRID:SCR_002800) | MAGI | service resource, analysis service resource, data analysis service, production service resource | A tool for annotating, exploring, and analyzing gene sets that may be associated with cancer. | mutation, interaction, transcript, copy number aberration, network |
uses: The Cancer Genome Atlas uses: HINT uses: HPRD - Human Protein Reference Database uses: Pfam uses: SMART uses: Conserved Domain Database is listed by: OMICtools has parent organization: Brown University; Rhode Island; USA |
Cancer | NSF ; NIH ; Brown University; Rhode Island; USA |
Free, Freely available, Available for download | OMICS_06145 | SCR_002800 | MAGI - A tool for Mutation Annotation and Genomic Interpretation | 2026-02-15 09:18:23 | 0 | |||||
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bioPIXIE Resource Report Resource Website 1+ mentions |
bioPIXIE (RRID:SCR_004182) | bioPIXIE | service resource, analysis service resource, data analysis service, production service resource | bioPIXIE is a general system for discovery of biological networks through integration of diverse genome-wide functional data. This novel system for biological data integration and visualization, allows you to discover interaction networks and pathways in which your gene(s) (e.g. BNI1, YFL039C) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data. To start using bioPIXIE, enter your genes of interest into the search box. You can use ORF names or aliases. If you enter multiple genes, they can be separated by commas or returns. Press ''submit''. bioPIXIE uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the bioPIXIE algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. As you move the mouse over genes in the network, interactions involving these genes are highlighted. If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. You may need to download the Adobe Scalable Vector Graphic (SVG) plugin to utilize the visualization tool (you will be prompted if you need it). | prediction, bayesian network, probabilistic, interaction, network | has parent organization: Princeton University; New Jersey; USA | NHGRI T32 HG003284; NIGMS R01 GM071966; NHGRI R01 HG003471; NIGMS P50 GM071508; NSF DGE-9972930; NSF IIS-0513552 |
PMID:16420673 | nlx_20893 | SCR_004182 | biological Process Inference from eXperimental Interaction Evidence | 2026-02-15 09:18:38 | 1 | ||||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | data or information resource, database, standard specification, narrative resource | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, nif-0000-03294, OMICS_01697 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-02-15 09:18:32 | 28 | |||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | MouseNET | 2026-02-15 09:18:30 | 3 | |||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | software application, software resource, training material, data or information resource, narrative resource, software toolkit | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | 2026-02-15 09:18:30 | 13 |
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