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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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ToRNADo Resource Report Resource Website 50+ mentions |
ToRNADo (RRID:SCR_002706) | software application, data visualization software, data processing software, 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 | 2026-02-15 09:18:22 | 95 | ||||||||
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MOPED - Model Organism Protein Expression Database Resource Report Resource Website 1+ mentions |
MOPED - Model Organism Protein Expression Database (RRID:SCR_006065) | MOPED | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource, resource | An expanding multi-omics resource that enables rapid browsing of gene and protein expression information from publicly available studies on humans and model organisms. MOPED also serves the greater research community by enabling users to visualize their own expression data, compare it with existing studies, and share it with others via private accounts. MOPED uniquely provides gene and protein level expression data, meta-analysis capabilities and quantitative data from standardized analysis utilizing SPIRE (Systematic Protein Investigative Research Environment). Data can be queried for specific genes and proteins; browsed based on organism, tissue, localization and condition; and sorted by false discovery rate and expression. MOPED links to various gene, protein, and pathway databases, including GeneCards, Entrez, UniProt, KEGG and Reactome. The current version of MOPED (MOPED 2.5) The current version of MOPED (MOPED 2.5, 2014) contains approximately 5 million total records including ~260 experiments and ~390 conditions. | protein expression, gene expression, model organism, gene, protein, pathway, proteomics, transcriptomics, data visualization, overlap plot, heatmap, dot plot, data sharing, protein localization, gene localization |
is related to: GeneCards is related to: UniProt is related to: KEGG is related to: Reactome |
Robert B McMillen Foundation ; NSF DBI0544757; NIGMS 5R01GM076680; NIDDK UO1DK072473; NIDDK 1U01DK089571 |
PMID:24350770 PMID:22139914 |
nlx_151470 | SCR_006065 | Multi-Omics Profiling Expression Database | 2026-02-15 09:19:18 | 2 | ||||||
|
EcoliWiki Resource Report Resource Website 1+ mentions |
EcoliWiki (RRID:SCR_010656) | EcoliWiki | software resource, wiki, data access protocol, web service, data or information resource, narrative resource | A component of EcoliHub, EcoliWiki is a wiki-based system for finding, editing, and adding information about E. coli K-12 and other model organism strains of E. coli. EcoliWiki is being constructed to include information about bacteriophage, plasmids, and mobile genetic elements. Information should be easily accessible and correct, and users have the right to edit any information they feel is incorrect. Most of the E. coli information was initially seeded with a subset of information from parsing EcoCyc data dumps. For phage gamma and the F plasmid, Genbank accessions were converted to GFF, which was parsed into the appropriate tables. Other sources of content include: * user additions * monthly addition of annotations from EcoCyc * structural data from the PDB * domains and motif information from InterPro * various databases including EcoGene, RegulonDB, Genbank, GenoBase, ASAP * many many scientific papers EcoliWiki participates in the RefGenome project. EcoliWiki provides REST web services as part of the EcoliHub Web Services infrastructure project. | phantom gene, genome sequence, bacteriophage, escherichia coli, e. coli, prokaryotic, gene, model organism, annotation | NIGMS U24GM088849 | nlx_68806 | SCR_010656 | 2026-02-15 09:20:20 | 4 | |||||||||
|
StringTie Resource Report Resource Website 1000+ mentions |
StringTie (RRID:SCR_016323) | software application, sequence analysis software, data processing software, software resource, data analysis software | Software application for assembling of RNA-Seq alignments into potential transcripts. It enables improved reconstruction of a transcriptome from RNA-seq reads. This transcript assembling and quantification program is implemented in C++ . | assembling, RNA, sequence, transcript, gene, alignment, reconstruction, read, analysis, process, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools |
the Cancer Prevention and Research Institute of Texas ; NHGRI R01 HG006677; NIGMS R01 GM105705; NHGRI R01 HG006102; NCI R01 CA120185; NCI R01 CA134292 |
PMID:25690850 DOI:10.1038/nbt.3122 |
Open source, Free, Freely available, Available for download | biotools:stringtie, OMICS_07226 | https://github.com/gpertea/stringtie https://bio.tools/stringtie https://sources.debian.org/src/stringtie/ |
SCR_016323 | 2026-02-15 09:21:38 | 4072 | ||||||
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BioDepot-workflow-builder Resource Report Resource Website 1+ mentions |
BioDepot-workflow-builder (RRID:SCR_017402) | Bwb | workflow software, software application, data processing software, software resource | Software tool to create and execute reproducible bioinformatics workflows using drag and drop interface. Graphical widgets represent Docker containers executing modular task. Widgets are linked graphically to build bioinformatics workflows that can be reproducibly deployed across different local and cloud platforms. Each widget contains form-based user interface to facilitate parameter entry and console to display intermediate results. | bioinformatics, big, data, workflow, reproducible, Docker | NIGMS R01 GM126019; NHLBI U54 HL127624; NHGRI U24HG012674; NIAID R03AI159286 |
DOI:10.1016/j.cels.2019.08.007 | Free, Available for download, Freely available | SCR_017402 | 2026-02-15 09:22:02 | 1 | ||||||||
|
R/qtl2 Resource Report Resource Website 10+ mentions |
R/qtl2 (RRID:SCR_018181) | software application, data processing software, data analysis software, software resource | Software R package for mapping quantitative trait loci with high dimensional data and multiparent populations. Used for analysis of high dimensional data and complex crosses. Interactive software environment for mapping quantitative trait loci in experimental populations.R/qtl2 software expands scope of R/qtl software package to include multiparent populations derived from more than two founder strains, such as Collaborative Cross and Diversity Outbred mice, heterogeneous stocks, and MAGIC plant populations. | High density genotyping data, molecular phenotype, gene expression, proteomics, mapping trait loci, diversity outbred mice, bio.tools |
is listed by: Debian is listed by: bio.tools |
NIGMS R01 GM074244; NIGMS R01 GM070683; NIGMS R01 GM123489 |
PMID:30591514 | Free, Available for download, Freely available | biotools:R_qtl2, SCR_020965 | https://bio.tools/R_qtl2 https://kbroman.org/qtl2 https://github.com/rqtl/qtl2 |
SCR_018181 | QTL, R/quantitative trait loci, QTL2, Quantitative Trait Locus 2, quantitative trait loci 2, R/qtl, qtl2 | 2026-02-15 09:22:19 | 13 | |||||
|
Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome Resource Report Resource Website |
Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) | HEFalMp | data or information resource, database, service resource | HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool. | human, map, gene, functional, pathway, disease, genomic, analysis, microarray, dna, protein, sequence | has parent organization: Princeton University; New Jersey; USA | New Jersey Commission on Cancer Research ; PhRMA Foundation 2007RSGl9572; NIGMS R01 GM071966; NSF DBI-0546275; NSF IIS-0513552; NHGRI T32 HG003284; NIGMS P50 GM071508 |
PMID:19246570 | nif-0000-37186 | SCR_003506 | Human Experimental / FunctionAL MaPper, Human Experimental/FunctionAL MaPper | 2026-02-15 09:18:31 | 0 | ||||||
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Allopathfinder Resource Report Resource Website |
Allopathfinder (RRID:SCR_002702) | AlloPathFinder | software application, source code, software resource | Software application and code base that allows users to compute likely allosteric pathways in proteins. The underlying assumption is that residues participating in allosteric communication should be fairly conserved and that communication happens through residues that are close in space. The initial application for the code provided was to study the allosteric communication in myosin. Myosin is a well-studied molecular motor protein that walks along actin filaments to achieve cellular tasks such as movement of cargo proteins. It couples ATP hydrolysis to highly-coordinated conformational changes that result in a power-stroke motion, or "walking" of myosin. Communication between a set of residues must link the three functional regions of myosin and transduce energy: the catalytic ATP binding region, the lever arm, and the actin-binding domain. They are investigating which residues are likely to participate in allosteric communication pathways. The application is a collection of C++/QT code, suitable for reproducing the computational results of the paper. (PMID 17900617) In addition, they provide input and alignment information to reproduce Figure 3 (a key figure) in the paper. Examples provided will show users how to use AlloPathFinder with other protein families, assumed to exhibit an allosteric communication. To run the application a multiple sequence alignment of representative proteins from the protein family is required along with at least one protein structure. | allosteric communication, allostery, allosteric, pathway, protein, residue, prediction, myosin, computational model, protein model, structure-based protein classification, protein classification, myosin allosteric communication |
is listed by: Biositemaps has parent organization: Simtk.org |
NIH Roadmap for Medical Research ; Jane Coffin Childs Memorial Fund ; NIGMS U54 GM072970; NIGMS GM33289 |
PMID:17900617 | Free, Available for download, Freely available | nif-0000-23327 | SCR_002702 | Predicting allosteric communication in myosin via a conserved residue pathway | 2026-02-15 09:18:22 | 0 | |||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | service resource, analysis service resource, data analysis service, production service resource | PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. PILGRM is for the biologist with a set of proteins relevant to a disease, biological function or tissue of interest who wants to find additional players in that process. It uses a data driven method that provides added value for literature search results by mining compendia of publicly available gene expression datasets using lists of relevant and irrelevant genes (standards). PILGRM produces publication quality PDFs usable as supplementary material to describe the computational approach, standards and datasets. Each PILGRM analysis starts with an important biological question (e.g. What genes are relevant for breast cancer but not mammary tissue in general?). For PILGRM to discover relevant genes, it needs examples of both genes that you would (positive) and would not (negative) find interesting. Lists of these genes are what we call standards and in PILGRM you can build your own standards or you can use standards from common sources that we pre-load for your convenience. PILGRM lets you build your own literature-documented standards so that processes, disease, and tissues that are not well covered in databases of tissue expression, disease, or function can still be used for an analysis. | data mining, gene expression, user directed data mining, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NIGMS P50 GM071508; NCI T32 CA005928 |
PMID:21653547 | nlx_75372, biotools:pilgrm | https://bio.tools/pilgrm | SCR_004749 | Platform for Interactive Learning by Genomics Results Mining | 2026-02-15 09:18:54 | 1 | |||||
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lapdftext Resource Report Resource Website |
lapdftext (RRID:SCR_006167) | lapdftext, LA-PDFText, | text extraction software, software application, software resource | Software that facilitates accurate extraction of text from PDF files of research articles for use in text mining applications. It is intended for both scientists and natural language processing (NLP) engineers interested in getting access to text within specific sections of research articles. The system extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles. The current version of LA-PDFText is a baseline system that extracts text using a three-stage process: * identification of blocks of contiguous text * classification of these blocks into rhetorical categories * extraction of the text from blocks grouped section-wise. | text mining, pdf, text extraction, natural language processing |
is listed by: FORCE11 has parent organization: University of Southern California; Los Angeles; USA |
NSF 0849977; NIGMS RO1-GM083871; NIMH 1R01MH079068-01A2; NCRR U24 RR025736-01 |
PMID:22640904 | Acknowledgement requested, GNU General Public License, v3 | nlx_151668 | SCR_006167 | Layout-Aware PDF Text Extraction, Layout-Aware Text Extraction from Full-text PDF of Scientific Articles, lapdftext: Layout-Aware Text Extraction from Full-text PDF of Scientific Articles | 2026-02-15 09:19:11 | 0 | |||||
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ESEfinder 3.0 Resource Report Resource Website 100+ mentions |
ESEfinder 3.0 (RRID:SCR_007088) | ESEfinder | service resource, analysis service resource, data analysis service, production service resource | A web-based resource that facilitates rapid analysis of exon sequences to identify putative exonic splicing enhancers (ESEs) responsive to the human SR proteins SF2/ASF, SC35, SRp40 and SRp55, and to predict whether exonic mutations disrupt such elements. | exonic splicing enhancer, sr protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Cold Spring Harbor Laboratory |
NIGMS GM42699; NCI CA88351; NHGRI HG01696 |
PMID:12824367 | Free for non-profit use, Non-commercial, Acknowledgement requested, Commercial use with license | biotools:esefinder, nif-0000-30496 | http://rulai.cshl.edu/tools/ESE2/ https://bio.tools/esefinder |
http://exon.cshl.edu/ESE/ | SCR_007088 | 2026-02-15 09:19:27 | 211 | ||||
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Mouse Mutagenesis Center for Developmental Defects Resource Report Resource Website |
Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) | Mouse Mutagenesis for Developmental Defects | reagent supplier, material resource | THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval. | mutant, embryo, post embryonic, mutagenesis, craniofacial, eye, fertility, growth, lethal, metabolism, neurological, skeletal, skin, coat, urogenital, cryopreserved, enu, defect, birth defect, , patterning defect, growth defect, endocrine defects, neurological anomaly, blood defect, mouse model, human disease, n-ethyl-n-nitrosourea, chromosome 11, phenotype |
is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: NIDDK Information Network (dkNET) is related to: Mutant Mouse Resource and Research Center is related to: Jackson Laboratory has parent organization: Baylor University; Texas; USA |
Aging | NICHD ; NIGMS ; NIA ; NIAMS ; NHLBI ; NIDDK ; NIDCR ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00190 | SCR_007321 | NIH Mouse Mutagenesis Center for Developmental Defects | 2026-02-15 09:19:44 | 0 | |||||
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CellProfiler Image Analysis Software Resource Report Resource Website 1000+ mentions |
CellProfiler Image Analysis Software (RRID:SCR_007358) | software application, image analysis software, data processing software, software resource | Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types. | high-throughput, high content imaging, software, image, cell, phenotype, measurement, subcellular, intensity, size, shape, analysis, algorithm |
is listed by: Debian is related to: CellProfiler Analyst has parent organization: Broad Institute |
NIGMS R01 GM089652; NIGMS RC2 GM092519; NHGRI RL1 HG004671 |
PMID:21349861 PMID:17076895 PMID:19014601 PMID:19188593 |
Free, Available for download, Freely available | SCR_010649, nlx_66812, nif-0000-00280 | https://sources.debian.org/src/cellprofiler/ | SCR_007358 | Cell Profiler, CellProfiler - cell image analysis software | 2026-02-15 09:19:44 | 3265 | |||||
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Oufti Resource Report Resource Website 10+ mentions |
Oufti (RRID:SCR_016244) | software application, image analysis software, data processing software, software resource | Software designed for analysis of microscopy data. It performs sub-pixel precision detection, quantification of cells and fluorescence signals, as well as other image analysis functions. | microscopy, data, imaging, image, analysis, pixel, fluorescent, bio.tools |
is listed by: Debian is listed by: bio.tools |
NIGMS R01 GM065835 | PMID:26538279 | biotools:oufti | https://bio.tools/oufti | SCR_016244 | outfi | 2026-02-15 09:21:34 | 13 | ||||||
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RSRef Resource Report Resource Website 1+ mentions |
RSRef (RRID:SCR_017211) | software application, data processing software, software resource | Software for fitting of atomic models into density maps derived from x-ray crystallography or electron microscopy. | Fitting, atomic, model, density, map, x ray, crystallography, electron, microscopy | NIGMS R01 GM66875; NIGMS R01 GM78538 |
PMID:23376441 | Free, Available for download, Freely available | http://xtal.ohsu.edu/software/rsref/readme.txt | SCR_017211 | 2026-02-15 09:21:59 | 1 | ||||||||
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Phenix.refine Resource Report Resource Website 10+ mentions |
Phenix.refine (RRID:SCR_016736) | Phenix.refine | software application, data processing software, software resource | Software tool for a general purpose crystallographic structure refinement within the PHENIX package. Serves as a critical component in automated model building, final structure refinement, structure validation and deposition to the wwPDB. | crystallographic, structure, refinement, Phenix, model, building, validation |
is listed by: SoftCite is provided by: Phenix |
NIGMS GM063210; US Department of Energy |
PMID:22505256 | Free, Available for download for non profit, For profit access PHENIX through a Consortium agreement, Tutorial available, Acknowledgement requested | SCR_016736 | Python-based Hierarchical ENvironment for Integrated Xtallography.refine, Phenix.refine, Phenix | 2026-02-15 09:21:48 | 39 | ||||||
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mosdepth Resource Report Resource Website 10+ mentions |
mosdepth (RRID:SCR_018929) | software application, data processing software, software resource | Software command line tool for rapidly calculating genome wide sequencing coverage. Measures depth from BAM or CRAM files at either each nucleotide position in genome or for sets of genomic regions. Used for fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing quick coverage calculation for genomes and exomes. | Calculating genome, wide sequencing coverage, depth measurement, BAM file, CRAM file, nucleotide position, genome, genomic region set, WGS exom, targeted sequencing, coverage calculation, exom, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools |
NHGRI R01 HG006693; NHGRI R01 HG009141; NIGMS R01 GM124355; NCI U24 CA209999 |
PMID:29096012 | Free, Available for download, Freely available | OMICS_20873, biotools:mosdepth | https://bio.tools/mosdepth https://sources.debian.org/src/mosdepth/ |
SCR_018929 | 2026-02-15 09:22:17 | 38 | ||||||
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ProteomeTools Resource Report Resource Website 10+ mentions |
ProteomeTools (RRID:SCR_018535) | project portal, data or information resource, portal | Project for building molecular and digital tools from human proteome to facilitate biomedical research, drug discovery, personalized medicine and life science research. | Molecular tool, human proteome, proteome, human, peptide, data |
is related to: ProteomicsDB is related to: ProteomeXchange |
German Federal Ministry of Education and Research ; Alexander von Humboldt Foundation ; American Recovery and Reinvestment Act ; NHGRI RC2 HG005805; NIGMS R01 GM087221; NCRR S10 RR027584; NIGMS P50 GM076547; European Research Council ; Swiss National Science Foundation |
PMID:28135259 | Free, Freely available | http://www.proteometools.org | SCR_018535 | 2026-02-15 09:22:22 | 21 | |||||||
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ClusPro Resource Report Resource Website 500+ mentions |
ClusPro (RRID:SCR_018248) | web service, data access protocol, service resource, software resource | Web tool for protein-protein docking. Server provides removal of unstructured protein regions, application of attraction or repulsion, accounting for pairwise distance restraints, construction of homo-multimers, consideration of small-angle X-ray scattering data, and location of heparin-binding sites. Six different energy functions can be used, depending on protein type.This protocol describes use of various options, construction of auxiliary restraints files, selection of energy parameters, and analysis of results. | Protein-protein docking, protein structure, energy function, energy parameter selection, analysis, data |
has parent organization: Boston University; Massachusetts; USA has parent organization: Stony Brook University; New York; USA |
NIGMS R35 GM118078; NIGMS R01 GM061867 |
PMID:28079879 | Free, Freely available | SCR_018248 | ClusPro 2.0 | 2026-02-15 09:22:12 | 858 | |||||||
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ConnecTF Resource Report Resource Website 1+ mentions |
ConnecTF (RRID:SCR_022577) | web service, data access protocol, software resource | Software platform to integrate transcription factor gene interactions and validate regulatory networks. Gene regulatory network validation. | integrate transcription factor gene interactions, validate regulatory networks, gene regulatory network validation | NIGMS RO1-GM121753; NSF PGRP IOS-1339362; NSF PGRP IOS-1840761; NIGMS F32GM116347 |
PMID:33631799 | Free, Available for download, Freely available | https://github.com/coruzzilab/connectf_server | SCR_022577 | 2026-02-15 09:22:57 | 3 |
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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.
