Searching the RRID Resource Information Network
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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STAR Resource Report Resource Website 10000+ mentions |
STAR (RRID:SCR_004463) | data processing software, alignment software, software application, software resource, image analysis software | Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays. | RNA-seq data, alignment, RNA-seq reads alignment, reference genome, using uncompressed suffix arrays, bio.tools |
is used by: STARsolo is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite |
NHGRI U54 HG004557 | PMID:23104886 DOI:10.1093/bioinformatics/bts635 |
biotools:star, OMICS_01254, SCR_015899 | https://github.com/alexdobin/STAR https://bio.tools/star https://sources.debian.org/src/rna-star/ |
SCR_004463 | Spliced Transcripts Alignment to Reference, Spliced Transcripts Alignment to a Reference (STAR), rna-star, ultrafast universal RNA-seq aligner | 2026-02-14 02:00:44 | 22809 | ||||||
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NCBI BioSystems Database Resource Report Resource Website 100+ mentions |
NCBI BioSystems Database (RRID:SCR_004690) | BioSystems | data repository, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them. | pathway, disease, gene, protein, small molecule, literature, computation, image, biomarker, drug, structural complex, functional set, biological system, molecule, gold standard, bio.tools |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: NCBI Structure is related to: BioCyc is related to: EcoCyc is related to: MetaCyc is related to: Reactome is related to: Pathway Interaction Database is related to: WikiPathways is related to: Gene Ontology has parent organization: NCBI |
NIH | PMID:19854944 | r3d100011033, biotools:biosystems, nlx_69646 | https://bio.tools/biosystems https://doi.org/10.17616/R31K80 |
SCR_004690 | BioSystems Database, NCBI BioSystems | 2026-02-14 02:00:59 | 118 | |||||
|
QuickGO Resource Report Resource Website 500+ mentions |
QuickGO (RRID:SCR_004608) | QuickGO | ontology, web service, data or information resource, controlled vocabulary, data access protocol, software resource, database | A web-based browser for Gene Ontology terms and annotations, which is provided by the UniProtKB-GOA group at the EBI. It is able to offer a range of facilities including bulk downloads of GO annotation data which can be extensively filtered by a range of different parameters and GO slim set generation. The software for QuickGO is freely available under the Apache 2 license. QuickGO can supply GO term information and GO annotation data via REST web services. | gene, ontology, annotation, browser, visualization, search engine, slimmer-type tool, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, windows, mac os x, linux, unix, gold standard, bio.tools |
is listed by: OMICtools is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: STRAP has parent organization: European Bioinformatics Institute |
BBSRC BB/E023541/1 | PMID:19744993 PMID:20157483 |
Apache License, v2, Free for academic use | biotools:quickgo, nlx_60318, OMICS_02276 | https://bio.tools/quickgo | SCR_004608 | Quick GO | 2026-02-14 02:00:45 | 523 | ||||
|
BioPig Resource Report Resource Website 1+ mentions |
BioPig (RRID:SCR_004636) | BioPig | software resource | Software providing a framework for genomic data analysis using Apache Pig and Hadoop. | mapreduce/hadoop, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Lawrence Berkeley National Laboratory |
PMID:24021384 | biotools:biopig, OMICS_01225 | https://bio.tools/biopig | SCR_004636 | 2026-02-14 02:00:58 | 2 | |||||||
|
Small Molecule Pathway Database Resource Report Resource Website 50+ mentions |
Small Molecule Pathway Database (RRID:SCR_004844) | SMPDB | data analysis service, analysis service resource, data or information resource, production service resource, service resource, image, database | An interactive, visual database containing more than 350 small molecule pathways found in humans. More than 2/3 of these pathways (>280) are not found in any other pathway database. SMPDB is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics and systems biology. It is able to do so, in part, by providing exquisitely detailed, fully searchable, hyperlinked diagrams of human metabolic pathways, metabolic disease pathways, metabolite signaling pathways and drug-action pathways. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Each small molecule is hyperlinked to detailed descriptions contained in the HMDB or DrugBank and each protein or enzyme complex is hyperlinked to UniProt. All SMPDB pathways are accompanied with detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram. The database is easily browsed and supports full text, sequence and chemical structure searching. Users may query SMPDB with lists of metabolite names, drug names, genes / protein names, SwissProt IDs, GenBank IDs, Affymetrix IDs or Agilent microarray IDs. These queries will produce lists of matching pathways and highlight the matching molecules on each of the pathway diagrams. Gene, metabolite and protein concentration data can also be visualized through SMPDB''s mapping interface. All of SMPDB''s images, image maps, descriptions and tables are downloadable. | metabolomics, transcriptomics, proteomics, systems biology, small molecule, pathway, human, metabolic pathway, metabolic disease pathway, metabolite signaling pathway, drug-action pathway, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: ConsensusPathDB has parent organization: University of Alberta; Alberta; Canada |
Genome Alberta ; Genome Canada |
PMID:19948758 | nlx_143926, biotools:smpdb, r3d100012753 | https://bio.tools/smpdb https://doi.org/10.17616/R3TB93 |
SCR_004844 | SMPDB (The Small Molecule Pathway Database), Small Molecule Pathway Database (SMPDB) | 2026-02-14 02:00:45 | 95 | |||||
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NCBI Probe Resource Report Resource Website 10+ mentions |
NCBI Probe (RRID:SCR_004816) | NCBI Probe | data repository, storage service resource, data or information resource, service resource, database | Public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications including genotyping, gene expression studies, SNP discovery, genome mapping, and gene silencing. Probe records contain information on reagent distributors, probe effectiveness, and computed sequence similarities. The database is constantly updated, with over 11,000,000 probes available. Users may deposit their data into NCBI Probe Database. | reagent, probe, registry, nucleic acid, gene expression, gene mapping, gene silencing, dna data bank, nucleic acid probe, gold standard, bio.tools |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: UniSTS has parent organization: NCBI |
Public, The community can contribute to this resource | nlx_80513, r3d100010780, biotools:ncbi_dbprobe | http://www.ncbi.nlm.nih.gov/sites/entrez?db=probe https://bio.tools/ncbi_dbprobe https://doi.org/10.17616/R3D041 |
SCR_004816 | NCBI Probe Database, Entrez Probe Database, ProbeDB, Probe Database, dbProbe | 2026-02-14 02:00:47 | 17 | ||||||
|
SLIQ Resource Report Resource Website 1+ mentions |
SLIQ (RRID:SCR_005003) | SLIQ | software resource | Software for simple linear inequalities based Mate-Pair reads filtering and scaffolding. A set of simple linear inequalities (SLIQ) derived from the geometry of contigs on the line that can be used to predict the relative positions and orientations of contigs from individual mate pair reads and thus produce a contig digraph. The SLIQ inequalities can also filter out unreliable mate pairs and can be used as a pre-processing step for any scaffolding algorithm. This tool filters mate pairs and then produces a Directed Contig Graph (contig diGraph). Also provided is a Naive scaffolder that can then produce scaffolds out of the contig diGraph. | python, scaffolding, contig position, contig orientation, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Rutgers University; New Jersey; USA |
PMID:23057825 | biotools:sliq, OMICS_00048 | https://bio.tools/sliq | SCR_005003 | Simple linear inequalities, SLiQ: Simple linear inequalities based Mate-Pair reads filtering and scaffolding | 2026-02-14 02:01:03 | 3 | ||||||
|
European Genome phenome Archive Resource Report Resource Website 500+ mentions |
European Genome phenome Archive (RRID:SCR_004944) | EGA | data repository, storage service resource, web service, data set, data or information resource, service resource, data access protocol, software resource | Web service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The repository allows you to explore datasets from numerous genotype experiments, supplied by a range of data providers. The EGA''s role is to provide secure access to the data that otherwise could not be distributed to the research community. The EGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project. As an example, only members of the EGA team are allowed to process data in a secure computing facility. Once processed, all data are encrypted for dissemination and the encryption keys are delivered offline. The EGA also supports data access only for the consortium members prior to publication. | phenomenon, trait, sequence, genotype, experiment, case-control, population, family study, snp, cnv, phenotype, genomic, gold standard, bio.tools |
is used by: Blueprint Epigenome is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
PMID:34791407 | Restricted | BioTools:ega, biotools:ega, r3d100011242, OMICS_01028, nlx_91316 | https://ega-archive.org/ https://bio.tools/ega https://bio.tools/ega https://doi.org/10.17616/R3W619 |
SCR_004944 | , The European Genome-phenome Archive, The European Genome-phenome Archive (EGA), EGA | 2026-02-14 02:01:01 | 605 | |||||
|
SOPRA Resource Report Resource Website 10+ mentions |
SOPRA (RRID:SCR_005035) | SOPRA | software resource | Software tool to exploit the mate pair/paired-end information for assembly of short reads from high throughput sequencing platforms, e.g. Illumina and SOLiD. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Rutgers University; New Jersey; USA |
PMID:20576136 | Acknowledgement requested | biotools:sopra, OMICS_00049 | https://bio.tools/sopra | SCR_005035 | SOPRA - Statistical Optimization of Paired Read Assembly, Statistical Optimization of Paired Read Assembly | 2026-02-14 02:00:48 | 20 | |||||
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SSPACE Resource Report Resource Website 100+ mentions |
SSPACE (RRID:SCR_005056) | SSPACE | software resource | A stand-alone software program for scaffolding pre-assembled contigs using paired-read data. Main features are: a short runtime, multiple library input of paired-end and/or mate pair datasets and possible contig extension with unmapped sequence reads. | scaffolding, contig, genome, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:21149342 DOI:10.1093/bioinformatics/btq683 |
GNU General Public License, Registration required | biotools:sspace, OMICS_00050 | https://bio.tools/sspace https://sources.debian.org/src/sspace/ |
SCR_005056 | 2026-02-14 02:01:02 | 426 | ||||||
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Percolator: Semi-supervised learning for peptide identification from shotgun proteomics datasets Resource Report Resource Website 1000+ mentions |
Percolator: Semi-supervised learning for peptide identification from shotgun proteomics datasets (RRID:SCR_005040) | data or information resource, software resource, database | Percolator post-processes the results of a shotgun proteomics database search program, re-ranking peptide-spectrum matches so that the top of the list is enriched for correct matches. Shotgun proteomics uses liquid chromatography-tandem mass spectrometry to identify proteins in complex biological samples. We describe an algorithm, called Percolator, for improving the rate of peptide identifications from a collection of tandem mass spectra. Percolator uses semi-supervised machine learning to discriminate between correct and decoy spectrum identifications, correctly assigning peptides to 17% more spectra from a tryptic dataset and up to 77% more spectra from non-tryptic digests, relative to a fully supervised approach. The yeast-01 data is available in tab delimetered format. The SEQUEST parameter file and target database for the yeast and worm data are also available. | worm, yeast, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Washington; Seattle; USA |
PMID:17952086 | biotools:percolator, nlx_98814 | https://bio.tools/percolator | SCR_005040 | Percolator | 2026-02-14 02:00:48 | 2482 | |||||||
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MBCluster.Seq Resource Report Resource Website 1+ mentions |
MBCluster.Seq (RRID:SCR_005079) | MBCluster.Seq | software resource | Software to cluster genes based on Poisson or Negative-Binomial model for RNA-Seq or other digital gene expression (DGE) data. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:24191069 | GNU General Public License, >/=v3 | OMICS_01417, biotools:mbcluster.seq | https://bio.tools/mbcluster.seq | SCR_005079 | MBCluster.Seq: Model-Based Clustering for RNA-seq Data | 2026-02-14 02:00:50 | 1 | |||||
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GRASS Resource Report Resource Website 50+ mentions |
GRASS (RRID:SCR_005071) | GRASS | software resource | A generic algorithm for scaffolding next-generation sequencing assemblies. | next-generation sequencing, scaffolding, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:22492642 | GNU General Public License, v3 | biotools:GRASS, OMICS_00043 | https://bio.tools/GRASS | SCR_005071 | GRASS: a generic algorithm for scaffolding next-generation sequencing assemblies, GeneRic ASembly Scaffolder | 2026-02-14 02:00:48 | 89 | |||||
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SINA Resource Report Resource Website 100+ mentions |
SINA (RRID:SCR_005067) | SINA | data analysis service, analysis service resource, production service resource, service resource, software resource | Service to align and optionally taxonomically classify your rRNA gene sequences. The results can be combined with any other sequences aligned by SINA or taken from the SILVA databases by concatenation of FASTA files or using the ARB MERGE tool. Note: Submission is currently limited to at most 1000 sequences of at most 6000 bases each. If your requirements exceed this limitation, get Opens internal link in current windowSINA for local installation. | alignment, taxonomic classification, rrna, gene sequence, fasta, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: SILVA is related to: ARB project has parent organization: Max Planck Institute for Marine Microbiology; Bremen; Germany |
PMID:22556368 | Free, Available for download, Freely available | OMICS_01438, biotools:sina | https://bio.tools/sina https://sources.debian.org/src/sina/ https://github.com/epruesse/SINA |
SCR_005067 | SINA Alignment Service, SILVA Incremental Aligner | 2026-02-14 02:01:02 | 369 | |||||
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G-BLASTN Resource Report Resource Website |
G-BLASTN (RRID:SCR_005062) | G-BLASTN | software resource | A GPU-accelerated nucleotide alignment tool based on the widely used NCBI-BLAST. It can produce exactly the same results as NCBI-BLAST, and it also has very similar user commands. It also supports a pipeline mode, which can fully utilize the GPU and CPU resources when handling a batch of medium to large sized queries. | parallel computation 4, blast, alignment, nucleotide, gpu, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: NCBI BLAST has parent organization: Hong Kong Baptist University; Hong Kong; China has parent organization: SourceForge |
Hong Kong Baptist University; Hong Kong; China FRG2/11-12/158; NVIDIA |
PMID:24463183 | Free | OMICS_02263, biotools:g-blastn | http://sourceforge.net/projects/gblastn/ https://bio.tools/g-blastn |
SCR_005062 | 2026-02-14 02:01:02 | 0 | |||||
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VFS Resource Report Resource Website 1+ mentions |
VFS (RRID:SCR_005138) | VFS | software resource | A versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base resolution. It combines soft-clipping information, read-pair analysis, and targeted de novo assembly to discover and annotate viral-human fusion events. A simple yet effective empirical statistical model is used to evaluate the quality of fusion breakpoints. Minimal user defined parameters are required. | ubuntu, debian, high-throughput sequencing, virus, reconstruct, fusion transcript, transcript, integration, fusion, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: SourceForge has parent organization: Chinese University of Hong Kong; Hong Kong; China |
PMID:23314323 | GNU General Public License, v3 | OMICS_00224, biotools:viralfusionseq | https://bio.tools/viralfusionseq | SCR_005138 | ViralFusionSeq, ViralFusionSeq (VFS) | 2026-02-14 02:01:03 | 1 | |||||
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MMAPPR Resource Report Resource Website 1+ mentions |
MMAPPR (RRID:SCR_005092) | MMAPPR | software resource | A software analysis pipeline for mapping mutations using RNA-seq that works without parental strain information, without the requirement of a pre-existing snp map of the organism, and without erroneous assumptions that recombination occurs at the same frequency across the genome. In addition, it compensates for the considerable amount of noise in RNA-seq datasets and simultaneously identifies the region where the mutation lies and generates a list of putative coding region mutations in the linked genomic segment. MMAPPR can utilize RNA-seq datasets from isolated tissues or whole organisms that are often generated for phenotypic analysis and gene network analysis in novel mutants. | mutation, rna-seq, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Utah; Utah; USA |
PMID:23299975 | Acknowledgement requested | OMICS_01361, biotools:mmappr | https://bio.tools/mmappr | SCR_005092 | Mutation Mapping Analysis Pipeline for Pooled RNA-seq | 2026-02-14 02:01:02 | 7 | |||||
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FusionMap Resource Report Resource Website 50+ mentions |
FusionMap (RRID:SCR_005242) | FusionMap | software resource | An efficient fusion aligner which aligns reads spanning fusion junctions directly to the genome without prior knowledge of potential fusion regions. It detects and characterizes fusion junctions at base-pair resolution. FusionMap can be applied to detect fusion junctions in both single- and paired-end dataset from either gDNA-Seq or RNA-Seq studies. FusionMap runs under both Windows and Linux (requiring MONO) environments. Although it can run on 32 bit machine, it is recommended to run on 64-bit machine with 8GB RAM or more. If you have an ArrayStudio License, you can run the fusion detection easily through its GUI. | windows, linux, c#, fusion gene, next-generation sequencing, gene, reference indexing, read filtering, fusion alignment, reporting, alignment, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:21593131 | Free, Non-commercial | biotools:fusionmap, OMICS_00316 | https://bio.tools/fusionmap | SCR_005242 | 2026-02-14 02:01:05 | 88 | ||||||
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rQuant Resource Report Resource Website 1+ mentions |
rQuant (RRID:SCR_005150) | rQuant | software resource | Software for quantitative detection of alternative transcripts with RNA-Seq data. The method, based on quadratic programming, estimates biases introduced by experimental settings and is thus a powerful tool to reveal and quantify novel (alternative) transcripts. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Galaxy |
PMID:20551130 | biotools:rquant.web, OMICS_01286 | https://bio.tools/rquant.web | SCR_005150 | rQuant: quantitative detection of alternative transcripts with RNA-Seq data | 2026-02-14 02:01:03 | 1 | ||||||
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ShoRAH Resource Report Resource Website 10+ mentions |
ShoRAH (RRID:SCR_005211) | ShoRAH | software resource | A software package that allows for inference about the structure of a population from a set of short sequence reads as obtained from ultra-deep sequencing of a mixed sample. The package contains programs that support mapping of reads to a reference genome, correcting sequencing errors by locally clustering reads in small windows of the alignment, reconstructing a minimal set of global haplotypes that explain the reads, and estimating the frequencies of the inferred haplotypes. | linux, mac os x, windows, next-generation sequencing, c++, python, perl, structure, population, short sequence read, haplotype, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: ETH Zurich; Zurich; Switzerland |
PMID:21521499 | GNU General Public License, v3 | biotools:shorah, OMICS_00231 | https://bio.tools/shorah | SCR_005211 | Short Reads Assembly into Haplotypes, ShoRAH - Short Reads Assembly into Haplotypes | 2026-02-14 02:00:50 | 35 |
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