Searching the RRID Resource Information Network
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 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Sparse Inverse Covariance Estimation for Ecological Association Inference Resource Report Resource Website 10+ mentions |
Sparse Inverse Covariance Estimation for Ecological Association Inference (RRID:SCR_022646) | SPIEC-EASI | software resource, software toolkit | Software R package estimates inverse covariance matrix from sequencing data.Statistical method for inference of microbial ecological networks from amplicon sequencing datasets. | inverse covariance matrix estimation, sequencing data, microbial ecological networks inference, amplicon sequencing datasets microbial ecological networks, | NIAID T32AI007180; NIDDK R01 DK103358; NIGMS RO1 GM63270; Simons Foundation |
PMID:25950956 | Free, Available for download, Freely available | SCR_022646 | SciCrunch Registry | SParse InversE Covariance Estimation for Ecological Association Inference | 2026-10-24 12:51:53 | 12 | |||||||
|
SingleR Resource Report Resource Website 100+ mentions |
SingleR (RRID:SCR_023120) | software resource, software toolkit | Software R package for unbiased cell type recognition of scRNA-seq data. Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer cell of origin of each single cell independently. | unbiased cell type recognition, scRNA-seq data, reference transcriptomic datasets, pure cell types, infer cell of origin | NHLBI HL131560; NHLBI HL139897; NIAID ; UCSF Marcus Award ; UCSF Nina Ireland Program award |
PMID:30643263 | Free, Available for download, Freely available | https://github.com/dviraran/SingleR, https://github.com/LTLA/SingleR | SCR_023120 | SciCrunch Registry | Single-cell RNA-seq cell types Recognition | 2026-10-24 12:51:55 | 411 | |||||||
|
DADA2 Resource Report Resource Website 1000+ mentions |
DADA2 (RRID:SCR_023519) | software resource, software toolkit | Open source software R package for modeling and correcting Illumina sequenced amplicon errors. Fast and accurate sample inference from amplicon data with single nucleotide resolution. | modeling and correcting amplicon errors, Illumina sequenced amplicon errors, amplicon errors, sample inference, amplicon data, single nucleotide resolution |
is used by: ImmuMicrobiome is related to: dadasnake has parent organization: Stanford University; Stanford; California |
NIAID R01AI112401; NSF ; Samarth Foundation |
PMID:27214047 | Free, Available for download, Freely available | https://bioconductor.org/packages/dada2/ | SCR_023519 | SciCrunch Registry | 2026-10-24 12:51:57 | 1134 | |||||||
|
ATHLATES Resource Report Resource Website 1+ mentions |
ATHLATES (RRID:SCR_023689) | software resource, software toolkit | Software package for determining HLA genotypes for individuals from Illumina exome sequencing data. Program applies assembly, allele identification and allelic pair inference to short read sequences, and applies it to data from Illumina platforms. | Illumina, HLA genotypes determination, Illumina exome sequencing data, allele identification, allelic pair inference, short read sequence, | National Institutes of Health ; Department of Health and Human Services ; NIAID ; Washington University School of Medicine |
PMID:23748956 | Free, Available for download, Freely available | SCR_023689 | SciCrunch Registry | 2026-10-24 12:51:57 | 3 | |||||||||
|
DrInsight Resource Report Resource Website 1+ mentions |
DrInsight (RRID:SCR_023871) | data analysis software, data processing software, software application, software resource | Software connectivity mapping based drug repurposing tool that identifies drugs that can potentially reverse query disease phenotype or have similar functions with query drugs. | connectivity mapping based drug repurposing, identifies drugs, reverse query disease phenotype, query drugs, | NIAID U19AI082715 | PMID:30624606 | Free, Available for download, Freely available | https://github.com/cran/DrInsight | SCR_023871 | SciCrunch Registry | 2026-10-24 12:49:36 | 2 | ||||||||
|
microbeMASST Resource Report Resource Website 1+ mentions |
microbeMASST (RRID:SCR_024713) | data access protocol, software resource, web service | Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. | Identification of microbial derived metabolites, microbial metabolomics data, microbial metabolite annotation, taxonomy, mass spectrometry search tool, searching tool, bacteria, fungi, metabolomics, microbiome, search known and unknown MS/MS spectra, | is related to: GNPS MASST | Austrian Science Fund ; German Research Foundation ; Korean Government ; Mexican National Council of Science and Technology ; NIAID R01AI167860; NIA U19AG063744; NIDDK T32DK007202; NIDDK U01DK119702; NIDDK U24DK133658; NIGMS 1DP2GM137413; NIGMS 1R01GM132649; NIGMS R01GM107550; NIGMS R35GM142938; NIH Office of the Director S10 OD021750; NLM 1R01LM013115; NSF ; Research Council of Norway ; Sao Paulo Research Foundation |
PMID:37577622 | Free, Freely available, | SCR_024713 | SciCrunch Registry | 2026-10-24 12:49:44 | 7 | ||||||||
|
Sequencing of Idd regions in the NOD mouse genome Resource Report Resource Website 1+ mentions |
Sequencing of Idd regions in the NOD mouse genome (RRID:SCR_001483) | Sequencing of Idd regions in the NOD mouse genome | data or information resource, data set, resource | Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site. | genome, sequencing, genome sequencing, insulin-dependent diabetes, c57bl/6j, single nucleotide polymorphism, genetic variation, bacterial artificial chromosome, sequence, gene, animal model, clone, annotation, contig |
lists: VEGA is listed by: NIDDK Information Network (dkNET) has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Type 1 diabetes, Diabetes | NIAID AI 15416; NIDDK ; JDRF |
PMID:23729657 | Free, Freely available | nlx_152738 | http://www.sanger.ac.uk/resources/mouse/nod/ | SCR_001483 | SciCrunch Registry | Sequencing of Insulin-dependent diabetes regions in the NOD mouse genome | 2026-10-24 12:49:48 | 1 | |||
|
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 | SciCrunch Registry | Dynamic Regulatory Events Miner (DREM) | 2026-10-24 12:49:49 | 5 | |||||
|
Short Time-series Expression Miner (STEM) Resource Report Resource Website 50+ mentions |
Short Time-series Expression Miner (STEM) (RRID:SCR_005016) | STEM | data processing software, software application, software resource | The Short Time-series Expression Miner (STEM) is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions. STEM is fully integrated with the Gene Ontology (GO) database supporting GO category gene enrichment analyses for sets of genes having the same temporal expression pattern. STEM also supports the ability to easily determine and visualize the behavior of genes belonging to a given GO category or user defined gene set, identifying which temporal expression profiles were enriched for these genes. (Note: While STEM is designed primarily to analyze data from short time course experiments it can be used to analyze data from any small set of experiments which can naturally be ordered sequentially including dose response experiments.) Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, term enrichment, visualization, cluster, compare, short time series, gene expression, microarray, expression profile, gene, gene ontology, gene enrichment analyses, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Carnegie Mellon University; Pennsylvania; USA |
NIAID NO1 AI-5001; NSF 0448453 |
PMID:16597342 PMID:15961453 |
Open unspecified license - Free for academic use | nlx_97053 | SCR_005016 | SciCrunch Registry | Short Time-series Expression Miner | 2026-10-24 12:49:53 | 90 | |||||
|
Ontodog: A Web-based Ontology View Generator Resource Report Resource Website 10+ mentions |
Ontodog: A Web-based Ontology View Generator (RRID:SCR_005061) | Ontodog | production service resource, service resource, software resource, source code | Ontodog is a web-based ontology view generator. It can generate inSubset annotation ontology, user preferred label annotation ontology and subset of source ontology. Simply provide Ontodog input term file (Microsoft Excel file or tab-delimited text file), select one source ontology or enter your own source ontology and SPARQL endpoint, then set the settings for Ontodog output files and get the OWL (RDF/XML) Output files. Ontodog performs the basic ontology modularization-like function, i.e.,it automatically extracts all axioms and related terms associated with user-specified signature term(s). In addition, Ontodog includes extra features: (1) extracting all instance data associated with the retrieved class terms and annotations; and (2) recursively extracting all axioms and related terms indirectly associated with signature terms. More features are being added to Ontodog, such as relabeling preferred names for various ontology terms to fit in with the needs from a specific community. The Ontodog input data requires a source ontology and a list of user-specified signature terms in tab-delimited format. Ontodog provides the template files for generating the signature terms as the input terms file to download. There are several output options that the users can choose based on their needs. With more and more ontologies being developed, Ontodog offers a timely web-based package of solutions for ontology view generation. Ontodog provides an efficient approach to promote ontology sharing and interoperability. It is easy to use and does not require knowledge of SPARQL, script programming, and command line operation. Ontodog is developed to serve the ontology community for ontology reuse. It is freely available under the Apache License 2.0. The source code is made available under Apache License 2.0. | ontology, interoperability | has parent organization: University of Michigan Medical School; Michigan; USA | Rackham Pilot Research ; NIAID R01AI081062; NIGMS 5R01GM93132-1 |
nlx_144053 | SCR_005061 | SciCrunch Registry | 2026-10-24 12:49:51 | 17 | ||||||||
|
ImmuneSpace Resource Report Resource Website 10+ mentions |
ImmuneSpace (RRID:SCR_010508) | data or information resource, organization portal, portal | A consortium of university groups to characterize human immune populations. The Human Immunology Project Consortium (HIPC) program, established in 2010 by the NIAID Division of Allergy, Immunology, and Transplantation, is a major collaborative effort that is generating large amounts of cross-center and cross-assay data including high-dimensional data to characterize the status of the immune system in diverse populations under both normal conditions and in response to stimuli. This large data problem has given birth to ImmuneSpace, a powerful data management and analysis engine where datasets can be easily explored and analyzed using state-of-the-art computational tools. | immunology | has parent organization: Human Immunology Project Consortium | NIAID | nlx_158717 | SCR_010508 | SciCrunch Registry | immune space, Immunespace.org | 2026-10-24 12:49:57 | 14 | ||||||||
|
EASE: the Expression Analysis Systematic Explorer Resource Report Resource Website 50+ mentions |
EASE: the Expression Analysis Systematic Explorer (RRID:SCR_013361) | EASE | data processing software, software application, software resource | Windows(c) desktop software application, customizable and standalone, that facilitates the biological interpretation of gene lists derived from the results of microarray, proteomic, and SAGE experiments. Provides statistical methods for discovering enriched biological themes within gene lists, generates gene annotation tables, and enables automated linking to online analysis tools. Offers statistical models to deal with multi-test comparison problem. Platform: Windows compatible | gene, microarray, genome, gene ontology, statistical analysis, enrichment analysis, FASEB list |
is listed by: 3DVC is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Database for Annotation Visualization and Integrated Discovery |
NIAID | PMID:12734009 PMID:19131956 PMID:19033363 |
Free for academic use | nlx_149218 | SCR_013361 | SciCrunch Registry | Expression Analysis Systematic Explorer | 2026-10-24 12:49:57 | 94 | |||||
|
NS-Forest Resource Report Resource Website 1+ mentions |
NS-Forest (RRID:SCR_018348) | data processing software, software application, software resource | Software tool as method that takes cluster results from single cell nuclei RNAseq experiments and generates lists of minimal markers needed to define each cell type cluster. Utilizes random forest of decision trees machine learning approach. Used to determine minimum set of marker genes whose combined expression identified cells of given type with maximum classification accuracy. | Single cell, RNAseq experiment, generated gene list, minimum set, marker gene, define cell type cluster, random forest, decision tree, machine learning, identify cell, cell clasyfication | is related to: Allen Institute for Brain Science | Allen Institute for Brain Science ; California Institute for Regenerative Medicine ; Chan Zuckerberg Initiative DAF ; JCVI Innovation Fund ; NIAID R21 AI122100; NIAID U19 AI118626; Wellcome Trust |
PMID:29590361 | Free, Available for download, Freely available | SCR_018348 | SciCrunch Registry | Necessary and Sufficient Forest, NS-Forestversion 1.3, NS-Forest v2.0, NS-Forest version 1.0 | 2026-10-24 12:50:03 | 2 | |||||||
|
ImmGen Resource Report Resource Website 100+ mentions |
ImmGen (RRID:SCR_021792) | data or information resource, database | Project combines immunology and computational biology laboratories in effort to establish complete road map of gene-expression and regulatory networks in all immune cells. Project will generate, with rigorously standardized conditions, complete compendium of genome-wide data sets showing expression of protein-coding genes for all defined cell populations of mouse immune system. | gene expression, regulatory networks, all immune cells, protein coding genes, mouse immune system | NIAID R24 AI072073 | PMID:18800157 PMID:32978299 |
Free, Freely available | SCR_021792 | SciCrunch Registry | Immunological Genome Project | 2026-10-24 12:51:14 | 317 | ||||||||
|
Cooperative Study Group for Autoimmune Disease Prevention Resource Report Resource Website |
Cooperative Study Group for Autoimmune Disease Prevention (RRID:SCR_006803) | CSGADP | knowledge environment, resource | Collaborative network of investigators with a focus on prevention of autoimmune disease, defined as halting the development of autoimmune disease prior to clinical onset by means other than global immunosuppression, and an emphasis on Type 1 diabetes. Its mission is to engage in scientific discovery that significantly advances knowledge for the prevention and regulation of autoimmune disease. The specific goals enunciated in pursuit of this mission are: * To create improved models of disease pathogenesis and therapy to better understand immune mechanisms that will provide opportunities for prevention strategies * To use these models as validation platforms with which to test new tools applicable to human studies * To encourage core expertise and collaborative projects designed for rapid translation from animal to human studies, emphasizing the development of surrogate markers for disease progression and/or regulation which can be utilized in the context of clinical trials | prevention, clinical, immune, model, disease pathogenesis, therapy |
is listed by: NIDDK Information Network (dkNET) is listed by: NIDDK Research Resources |
Type 1 diabetes, Diabetes, Autoimmune disease | NIAID ; NIDDK ; NICHD ; NIH Office of Research on Womens Health ; Juvenile Diabetes Research Foundation International |
nlx_152797 | SCR_006803 | SciCrunch Registry | 2026-10-24 12:51:28 | 0 | |||||||
|
DICOMConvert Resource Report Resource Website |
DICOMConvert (RRID:SCR_014100) | software application, software resource, standalone software | A DICOM image converter based on the ITK IO mechanism for reading and writing images. The formats currently supported by the converter are DICOM to: Analyze (*.hdr); MetaImage (*.mhd); Nrrd (*.nhdr, *.nrrd). | standalone software, dicom, image converter |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: National Institutes of Health |
Center for Infectious Disease Imaging ; NIAID ; NIBIB |
Available for download | SCR_014100 | SciCrunch Registry | Dicom Converter | 2026-10-24 12:51:44 | 0 | ||||||||
|
CIBERSORT Resource Report Resource Website 1000+ mentions |
CIBERSORT (RRID:SCR_016955) | data analytics software, software application, software resource | Software tool to provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data. Used for characterizing cell composition of complex tissues from their gene expression profiles, large scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets. | estimation, abundance, cell, type, mixed, population, gene, expression, data, tissue, complex, analysis, RNA, biomarker, therapeutic, target, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Stanford University; Stanford; California |
B&J Cardan Oncology Research Fund ; Damon Runyon Cancer Research Foundation ; Doris Duke Charitable Foundation ; Ludwig Institute for Cancer Research ; NCI T32 CA09302; NCI U01 CA154969; NIAID U19 AI090019; Siebel Stem Cell Institute ; Thomas and Stacey Siebel Foundation ; US Department of Defense |
PMID:25822800 | Not freely available for download or distribution, Available for non commercial users, Registration required | biotools:CIbERSORt | https://bio.tools/CIBERSORT | SCR_016955 | SciCrunch Registry | 2026-10-24 12:51:48 | 1908 | ||||||
|
Tree-Based Pipeline Optimization Tool Resource Report Resource Website 1+ mentions |
Tree-Based Pipeline Optimization Tool (RRID:SCR_017531) | TPOT | software resource, software toolkit | Software Python package to automate building of ML pipelines by combining flexible expression tree representation of pipelines with stochastic search algorithms such as genetic programming. | Automated, machine, learning, optimize, pipeline, genetic, programming | NIAID R01 AI117694 | Free, Available for download, Freely available | SCR_017532 | https://epistasislab.github.io/tpot/, https://github.com/EpistasisLab/tpot | SCR_017531 | SciCrunch Registry | Tree based Pipeline Optimization Tool | 2026-10-24 12:51:48 | 3 | ||||||
|
celltrackR Resource Report Resource Website 1+ mentions |
celltrackR (RRID:SCR_021021) | data analysis software, data processing software, software application, software resource, software toolkit | Software R package to analyze immune cell migration data. Supports pipeline for track analysis by providing methods for data management, quality control, extracting and visualizing migration statistics, clustering tracks, and simulating cell migration.Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length. | Immune cell migration data, dimensional space, cell analysis, cell migration, cell tracks, cell migration data, displacement, confinement ratio, autocorrelation, turning angle, fractal dimension | is listed by: CRAN | NIAID R01 AI077600; NIAID U01 AI095550 |
DOI:10.1101/670505v1 | Free, Available for download, Freely available | https://github.com/ingewortel/celltrackR | SCR_021021 | SciCrunch Registry | 2026-10-24 12:49:16 | 8 | |||||||
|
Differential Gene Correlation Analysis Resource Report Resource Website 1+ mentions |
Differential Gene Correlation Analysis (RRID:SCR_020964) | DGCA | data analysis software, data processing software, software application, software resource | Software R package to perform differential gene correlation analysis. Performs differential correlation analysis on input matrices, with multiple conditions specified by design matrix. | Differential gene, gene, gene correlation, correlation analysis, input matrices, differential correlations, identifier pairs, gene expression data, calculate differential correlations | is listed by: CRAN | NCI R01 CA163772; NIAID U01 AI111598; NIA F30 AG052261; NIA R01 AG046170 |
PMID:27846853 | Free, Available for download, Freely available | https://github.com/andymckenzie/DGCA | SCR_020964 | SciCrunch Registry | 2026-10-24 12:49:16 | 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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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.
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.
