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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Augustus Resource Report Resource Website 1000+ mentions |
Augustus (RRID:SCR_008417) | software resource, software application, sequence analysis software, data analysis software, data processing software, web application | Software for gene prediction in eukaryotic genomic sequences. Serves as a basis for further steps in the analysis of sequenced and assembled eukaryotic genomes. | software, gene, prediction, eucaryotic, genomic, sequence |
is used by: BRAKER is used by: BRO_annotation is listed by: Debian is listed by: OMICtools is listed by: SoftCite works with: Gsnap2Augustus |
Deutsche Forschungsgemeinschaft (DFG) HO4545/1-1;; STA1009/6-1 ; Institute for Mathematics and Computer Science ; Ernst Moritz Arndt University of Greifswald |
PMID:23700307 DOI:10.1093/bioinformatics/btw494 |
Free, Available for download, Freely available | SCR_015981, OMICS_07777, nif-0000-30133 | https://sources.debian.org/src/autodock-vina/ | SCR_008417 | Augustus: Gene Prediction, WebAUGUSTUS, Augustus, Augustus [gene prediction] | 2025-04-03 11:07:21 | 2961 | |||||
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MODELLER Resource Report Resource Website 5000+ mentions |
MODELLER (RRID:SCR_008395) | software resource, data or information resource, software application, portal, topical portal, simulation software | Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms. | comparative, protein, structure, modelling, satisfaction, spatial, restrain, homology, 3D, alignment, sequence, hydrogen, atom, cluster |
is listed by: SoftCite has parent organization: University of California at San Francisco; California; USA |
Sandler Family Supporting Foundation ; NIGMS R01 GM54762; NIGMS P01 GM71790; NIH P01 A135707; NIGMS U54 GM62529; IBM ; Intel |
Restricted | nif-0000-30054 | SCR_008395 | 2025-04-03 11:07:20 | 5463 | ||||||||
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G protein receptor interaction feature finding instrument Resource Report Resource Website 1+ mentions |
G protein receptor interaction feature finding instrument (RRID:SCR_008343) | service resource, resource, analysis service resource, production service resource | Griffin (G-protein-receptor interacting feature finding instrument) is a high-throughput system to predict GPCR - G-protein coupling selectively with the input of GPCR sequence and ligand molecular weight. This system consists of two parts: 1) HMM section using family specific multiple alignment of GPCRs, 2) SVM section using physico-chemical feature vectors in GPCR sequence. G-protein coupled receptors (GPCR), which is composed of seven transmembrane helices, play a role as interface of signal transduction. The external stimulation for GPCR, induce the coupling with G-protein (Gi/o, Gq/11, Gs, G12/13) followed by different kinds of signal transduction to inner cell. About half of distributed drugs are intending to control this GPCR - G-protein binding system, and therefore this system is important research target for the development of effective drug. For this purpose, it is necessary to monitor, effectively and comprehensively, of the activation of G-protein by identifying ligand combined with GPCR. Since, at present, it is difficult to construct such biochemical experiment system, if the answers for experimental results can be prepared beforehand by using bioinformatics techniques, large progress is brought to G-protein related drug design. Previous works for predicting GPCR-G protein coupling selectivity are using sequence pattern search, statistical models, and HMM representations showed high sensitivity of predictions. However, there are still no works that can predict with both high sensitivity and specificity. In this work we extracted comprehensively the physico-chemical parameters of each part of ligand, GPCR and G-protein, and choose the parameters which have strong correlation with the coupling selectivity of G-protein. These parameters were put as a feature vector, used for GPCR classification based on SVM. | drug, alignment, biochemical, bioinformatic, coupling, gpcr, g-protein, helix, instrument, interface, ligand, molecular, pattern, physico-chemical, receptor interacting, sequence, signal transduction, stimulation, svm, system, technique, transmembrane, weight, instrument, equipment, hardware, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Computational Biology Research Center Core Facility |
National Institute of Advanced Industrial Science and Technology | nif-0000-25210, biotools:griffin | https://bio.tools/griffin | SCR_008343 | Griffin | 2025-04-03 11:07:16 | 3 | |||||||
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PDBj - Protein Data Bank Japan Resource Report Resource Website 10+ mentions |
PDBj - Protein Data Bank Japan (RRID:SCR_008912) | PDBj | data or information resource, storage service resource, service resource, database, data repository | PDBj (Protein Data Bank Japan) maintains a centralized PDB archive of macromolecular structures and provides integrated tools, in collaboration with the RCSB, the BMRB in USA and the PDBe in EU. | protein, macromolecule, structure, sequence, ligand, binding site, nmr, molecule, gold standard |
is recommended by: NIDDK Information Network (dkNET) is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: Worldwide Protein Data Bank (wwPDB) is related to: PDBe - Protein Data Bank in Europe is related to: Biological Magnetic Resonance Data Bank (BMRB) is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Osaka University; Osaka; Japan |
Japan Science and Technology Agency ; NBDC - National Bioscience Database Center |
PDB data, Text and images are free of all copyright restrictions. You can use them free of charge. When you reprint or cite them, Please also cite us as follows: Protein Data Bank Japan (PDBj) Please also see Terms of Use page. | nlx_151484 | SCR_008912 | PDBj, Protein Data Bank Japan | 2025-04-03 11:08:01 | 37 | ||||||
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BeeBase Resource Report Resource Website 50+ mentions |
BeeBase (RRID:SCR_008966) | BeeBase | data or information resource, analysis service resource, service resource, production service resource, database, data set, data analysis service | Gene sequences and genomes of Bombus terrestris, Bombus impatiens, Apis mellifera and three of its pathogens, that are discoverable and analyzed via genome browsers, blast search, and apollo annotation tool. The genomes of two additional species, Apis dorsata and A. florea are currently under analysis and will soon be incorporated.BeeBase is an archive and will not be updated. The most up-to-date bee genome data is now available through the navigation bar on the HGD Home page. | genome, gene set, sequence, bee, genomics, entomology, blast, annotation, pest, pathogen, honey, beehive, insect, bee pollen, bee product, bee culture, pollination, pollinator, bio.tools, FASEB list |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: University of Missouri; Missouri; USA |
Texas Agricultural Experiment Station ; Golden Heritage Foods and Sioux Honey Association ; NHGRI 5-P41-HG000739-13; USDA 2008-35302-18804 |
PMID:21071397 | Open unspecified license, Acknowledgement requested, Data Usage Policy | nlx_152034, biotools:hgd | https://bio.tools/hgd | SCR_008966 | Hymenoptera Genome Database | 2025-04-03 11:08:01 | 56 | ||||
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GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | software resource, software application, analysis service resource, service resource, production service resource, data processing software, data analysis service | Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, motif, genomics, gene ontology, function, compare, ontology or annotation editor, statistical analysis, dna binding motif, dna binding, dna, transcription factor, sequence |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Queensland; Brisbane; Australia has parent organization: MEME Suite - Motif-based sequence analysis tools |
Australian Research Council ; University of Queensland; Brisbane; Australia ; International Research Tuition Award ; NCRR R01 RR021692 |
PMID:20147307 PMID:18544606 |
Free for academic use | nlx_149250 | SCR_008864 | Gene Ontology for Motifs | 2025-04-03 11:07:57 | 3 | |||||
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PRECISE Resource Report Resource Website 10+ mentions |
PRECISE (RRID:SCR_007874) | PRECISE | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Database of interactions between amino acid residues of enzyme and its ligands. Provides summary of interactions between amino acid residues of enzyme and its various ligands including substrate and transition state analogues, cofactors, inhibitors, and products. | enzyme, enzyme and enzyme nomenclature databases, function, align, amino acid, analogue, atom, chain, cofactor, complex, hydrogen bond, inhibitor, interaction, ligand, product, residue, sequence, structure, substrate, transition state | has parent organization: Boston University; Massachusetts; USA | NSF | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21331, SCR_008230 | http://precise.bu.edu/precisedb/ | SCR_007874 | Predicted and Consensus Interaction Sites in Enzymes | 2025-04-03 11:06:35 | 40 | |||||
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GoatMap Database Resource Report Resource Website |
GoatMap Database (RRID:SCR_008144) | data or information resource, storage service resource, portal, service resource, database, topical portal, data repository | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This website contains information about the mapping of the caprine genome. It contains loci list, phenes list, cartography, gene list, and other sequence information about goats. This website contains 731 loci, 271 genes, and 1909 homologue loci on 112 species. It also allows users to summit their own data for Goatmap. ARK-Genomics is not-for-profit and has collaborators from all over the world with an interest in farm animal genomics and genetics. ARK-Genomics was initially set up in 2000 with a grant awarded from the BBSRC IGF (Investigating Gene Function) initiative and from core resources of the Roslin Institute to provide a laboratory for automated analysis of gene expression using state-of-the-art genomic facilities. Since then, ARK-Genomics has expanded considerably, building up considerable expertise and resources. | farm, gene, animal, caprine, cartography, genome, genomic, goat, homologue, locus, map, mapping, phene, sequence | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20978 | SCR_008144 | GoatMap | 2025-04-03 11:06:58 | 0 | |||||||||
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Bacterial Genomes Resource Report Resource Website 10+ mentions |
Bacterial Genomes (RRID:SCR_008141) | software resource, data or information resource, software application, database, data analysis software, data processing software | This website includes a list of projects that the Sanger Institute is currently working on or completed. All projects consist of the genomic sequencing of different bacteria. Each description of the bacteria includes its classification, a description, and the types of diseases that the bacteria is likely to cause. The Sanger Institute bacterial sequencing effort is concentrated on pathogens and model organisms. Data is accessible in a number of ways; for each organism there is a BLAST server, allowing users to search the sequences with their own query and retrieve the matching contigs. Sequences can also be downloaded directly by FTP. Data is accessible in a number of ways; for each organism there is a BLAST server, allowing you to search the sequences with your own query and retrieve the matching contigs. Sequences can also be downloaded directly by FTP. The primary sequence viewer and annotation tool, Artemis is available for download. This is a portable Java program which is used extensively within the Microbial Genomes group for the analysis and annotation of sequence data from cosmids to whole genomes. The Artemis Comparison Tool (ACT) is also useful for interactive viewing of the comparisons between large and small sequences. | bacteria, bacterial, classification, description, disease, genomic, model, organism, pathogen, sequence, sequencing, model |
is listed by: 3DVC has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
nif-0000-20963 | SCR_008141 | Bacterial Genomes | 2025-04-03 11:06:58 | 12 | |||||||||
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Human Gut Microbiome Initiative Resource Report Resource Website |
Human Gut Microbiome Initiative (RRID:SCR_008137) | topical portal, database, data or information resource, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2022. Human Gut Microbiome Initiative (HGMI) seeks to provide simply annotated, deep draft genome sequences for 100 cultured representatives of the phylogenetic diversity documented by 16S rRNA surveys of the human gut microbiota. Humans are supra-organisms, composed of 10 times more microbial cells than human cells. Therefore, it seems appropriate to consider ourselves as a composite of many species - human, bacterial, and archaeal - and our genome as an amalgamation of human genes and the genes in ''our'' microbial genomes (''microbiome''). In the same sense, our metabolome can be considered to be a synthesis of co-evolved human and microbial traits. The total number of genes present in the human microbiome likely exceeds the number of our H. sapiens genes by orders of magnitude. Thus, without an understanding of our microbiota and microbiome, it not possible to obtain a complete picture of our genetic diversity and of our normal physiology. Our intestine is home to our largest collections of microbes: bacterial densities in the colon (up to 1 trillion cells/ml of luminal contents) are the highest recorded for any known ecosystem. The vast majority of phylogenetic types in the distal gut microbiota belong to just two divisions (phyla) of the domain Bacteria - the Bacteroidetes and the Firmicutes. Members of eight other divisions have also been identified using culture-independent 16S rRNA gene-based surveys. Metagenomic studies of complex microbial communities residing in our various body habitats are limited by the availability of suitable reference genomes for confident assignment of short sequence reads generated by highly parallel DNA sequencers, and by knowledge of the professions (niches) of community members. Therefore, HGMI, which represents a collaboration between Washington University''s Genome Center and its Center for Genome Sciences, seeks to provide simply annotated, deep draft genome sequences for 100 cultured representatives of the phylogenetic diversity documented by 16S rRNA surveys of the human gut microbiota. | ecosystem, firmicutes, bacterial, bacteroidetes, body, cell, diversity, genome, gut, habitat, human, metabolom, microbial, microbiome, microbiota, phylogenetic, rrna, sequence, specie, synthesis | has parent organization: Washington University in St. Louis; Missouri; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20960 | http://genome.wustl.edu/projects/athaliana/ | SCR_008137 | HGMI | 2025-04-03 11:06:57 | 0 | |||||||
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dbEST Resource Report Resource Website 100+ mentions |
dbEST (RRID:SCR_008132) | data or information resource, storage service resource, service resource, database, data repository | Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms. | data, sequence, single, pass, cDNA, express, tag, bio.tools, gold standard |
is listed by: Debian is listed by: bio.tools has parent organization: NCBI |
PMID:8401577 | biotools:dbest, nif-0000-20937 | http://www.ncbi.nlm.nih.gov/dbEST/ https://bio.tools/dbest |
SCR_008132 | database Expressed Sequence Tag (EST), database Expressed Sequence Tag | 2025-04-03 11:06:57 | 178 | |||||||
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Gene Regulation Databases Resource Report Resource Website 100+ mentions |
Gene Regulation Databases (RRID:SCR_008033) | Gene Regulation Public Databases | topical portal, data or information resource, portal | In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers academic and non-profit organizations free access to reduced functionality versions of their products. TRANSFAC Professional provides gene regulation analysis solutions, offering the most comprehensive collection of eukaryotic gene regulation data. The professional paid subscription gives customers access to up-to-date data and tools not available in the free version. The public databases currently available for academic and non-profit organizations are: * TRANSFAC: contains data on transcription factors, their experimentally-proven binding sites, and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. * TRANSPATH: provides data about molecules participating in signal transduction pathways and the reactions they are involved in, resulting in a complex network of interconnected signaling components.TRANSPATH focuses on signaling cascades that change the activities of transcription factors and thus alter the gene expression profile of a given cell. * PathoDB: is a database on pathologically relevant mutated forms of transcription factors and their binding sites. It comprises numerous cases of defective transcription factors or mutated transcription factor binding sites, which are known to cause pathological defects. * S/MARt DB: presents data on scaffold or matrix attached regions (S/MARs) of eukaryotic genomes, as well as about the proteins that bind to them. S/MARs organize the chromatin in the form of functionally independent loop domains gained increasing support. Scaffold or Matrix Attached Regions (S/MARs) are genomic DNA sequences through which the chromatin is tightly attached to the proteinaceous scaffold of the nucleus. * TRANSCompel: is a database on composite regulatory elements affecting gene transcription in eukaryotes. Composite regulatory elements consist of two closely situated binding sites for distinct transcription factors, and provide cross-coupling of different signaling pathways. * PathoSign Public: is a database which collects information about defective cell signaling molecules causing human diseases. While constituting a useful data repository in itself, PathoSign is also aimed at being a foundational part of a platform for modeling human disease processes. | element, eukaryote, eukaryotic, expression, functionally, gene, genome, alignment, bind, binding site, cell, chromatin, collaborative, component, coupling, disease, dna, domain, human, matrix, molecular weight, molecule, mononucleotide, network, nucleotide, nucleus, pathological, protein, region, regulated, regulatory, scientific research, sequence, signaling, signal pathway, transcription factor, molecular neuroanatomy resource |
lists: TRANSFAC has parent organization: BIOBASE Corporation |
BIOBASE | nif-0000-10230 | SCR_008033 | gene-regulation.com: Public Databases for Academic and Non-profit Organizations | 2025-04-03 11:06:48 | 127 | |||||||
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HPV Sequence Database Resource Report Resource Website 1+ mentions |
HPV Sequence Database (RRID:SCR_008154) | topical portal, database, data or information resource, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 23, 2016. The Human Papillomaviruses Database collects, curates, analyzes, and publishes genetic sequences of papillomaviruses and related cellular proteins. It includes molecular biologists, sequence analysts, computer technicians, post-docs and graduate research assistants. This Web site has two main branches. The first contains our four annual data books of papillomavirus information, called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. and the second contains papillomavirus genetic sequence data. There is also a New Items location where we store the latest changes to the database or any other current news of interest. Besides the compendium, we also provide genetic sequence information for papilloma viruses and related cellular proteins. Each year they publish a compendium of papillomavirus information called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. which can now be downloaded from this Web site. | gene, genetic, alignment, amino acid, biologist, cellular protein, genome, human, molecular, papilloma, papillomavirus, phylogenetic, sequence, virus | has parent organization: Los Alamos National Laboratory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21000 | http://www.stdgen.lanl.gov/ | SCR_008154 | HPVSD | 2025-04-03 11:06:59 | 4 | |||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | software resource, data or information resource, software application, training material, portal, short course material, database, topical portal, data analysis software, data processing software, narrative resource | Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2025-04-03 11:06:49 | 793 | ||||||||
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PiGenome Resource Report Resource Website |
PiGenome (RRID:SCR_013394) | PiGenome | data or information resource, analysis service resource, service resource, production service resource, database, data analysis service | Database for ESTs (Expressed Sequence Tags), consensus sequences, bacterial artificial chromosome (BAC) clones, BES (BAC End Sequences). They have generated 69,545 ESTs from 6 full-length cDNA libraries (Porcine Abdominal Fat, Porcine Fat Cell, Porcine Loin Muscle, Liver and Pituitary gland). They have also identified a total of 182 BAC contigs from chromosome 6. It is very valuable resources to study porcine quantitative trait loci (QTL) mapping and genome study. Users can explore genomic alignment of various data types, including expressed sequence tags (ESTs), consensus sequences, singletons, QTL, Marker, UniGene and BAC clones by several options. To estimate the genomic location of sequence dataset, their data aligned BES (BAC End Sequences) instead of genomic sequence because Pig Genome has low-coverage sequencing data. Sus scrofa Genome Database mainly provide comparative map of four species (pig, cattle, dog and mouse) in chromosome 6. | gene expression, genome, sequence, gene, expressed sequence tag, consensus sequence, bac clone, bac end sequence, bac contig, quantitative trait loci, singleton, marker, unigene, chromosome 6, blast, transcript, bacterial artificial chromosome, snp, alignment |
is related to: Gene Ontology has parent organization: National Institute of Animal Science; Gyeonggi-do; South Korea |
National Institute of Animal Science; Gyeonggi-do; Korea ; Korean Rural Development Administration ; Biogreen21 Project 20050301034467 |
PMID:19082661 | nlx_153888 | http://pigenome.nabc.go.kr/ | SCR_013394 | Sus scrofa Genome database, Pig Genome Database, Pigenome database | 2025-04-03 11:10:08 | 0 | |||||
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PlantNATsDB - Plant Natural Antisense Transcripts DataBase Resource Report Resource Website 1+ mentions |
PlantNATsDB - Plant Natural Antisense Transcripts DataBase (RRID:SCR_013278) | PlantNATsDB | data or information resource, analysis service resource, service resource, production service resource, database, data analysis service | Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources involving approximately 2 million NAT pairs in 69 plant species. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs. GO annotation and high-throughput small RNA sequencing data currently available were integrated to investigate the biological function of NATs. A ''''Gene Set Analysis'''' module based on GO annotation was designed to dig out the statistical significantly overrepresented GO categories from the specific NAT network. PlantNATsDB is currently the most comprehensive resource of NATs in the plant kingdom, which can serve as a reference database to investigate the regulatory function of NATs. | natural antisense transcript, annotation, high-throughput, small rna sequencing, function, regulatory function, predict, sequence, small rna, blast, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: Gene Expression Omnibus has parent organization: Zhejiang University; Zhejiang; China |
National Natural Sciences Foundation of China 30971743; National Natural Sciences Foundation of China 31050110121; National Natural Sciences Foundation of China 31071659; Ministry of Science and Technology of China 2009DFA32030; Program for New Century Excellent Talents in University of China NCET-07-0740; Huazhong Agricultural University Scientific and Technological Self-innovation Foundation 2010SC07 |
PMID:22058132 | Free | nlx_151492, biotools:plantnatsdb | https://bio.tools/plantnatsdb | SCR_013278 | Plant Natural Antisense Transcripts DataBase | 2025-04-03 11:09:58 | 9 | ||||
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Residual Variation Intolerance Score (RVIS) Resource Report Resource Website 1+ mentions |
Residual Variation Intolerance Score (RVIS) (RRID:SCR_013850) | RVIS | narrative resource, standard specification, data or information resource | A gene-based score intended to help in the interpretation of human sequence data. The score is designed to rank genes in terms of whether they have more or less common functional genetic variation relative to the genome wide expectation given the amount of apparently neutral variation the gene has. A gene with a positive score has more common functional variation, and a gene with a negative score has less and is referred to as intolerant. | gene, score, sequence, interpretation, rank, functional genetic variation | is listed by: Columbia University; New York; USA | NIH Epi4K Sequencing ; Bioinformatics and Biostatistics Core U01NS077303 |
DOI:10.1371/journal.pgen.1003709 | SCR_013850 | Residual Variation Intolerance Score | 2025-04-03 11:10:35 | 8 | |||||||
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GeneTack Resource Report Resource Website 1+ mentions |
GeneTack (RRID:SCR_011953) | GeneTack | data or information resource, analysis service resource, service resource, production service resource, database, data analysis service | Tools for frameshift prediction and a frameshift database. | genomic sequence, transcript sequence, sequence, metagenomic sequence, frameshift |
is listed by: OMICtools has parent organization: Georgia Institute of Technology; Georgia; USA |
OMICS_01540 | SCR_011953 | GeneTack: tools for frameshift prediction | 2025-04-03 11:09:05 | 1 | ||||||||
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JiffyNet Resource Report Resource Website 1+ mentions |
JiffyNet (RRID:SCR_011954) | software resource, software application, analysis service resource, service resource, production service resource, simulation software, data analysis service | Web based instant protein network modeler for newly sequenced species. Web server designed to instantly construct genome scale protein networks using protein sequence data. Provides network visualization, analysis pages and solution for instant network modeling of newly sequenced species. | protein network, protein, network, genome, sequence, pathway annotation, network visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Yonsei University; Seoul; South Korea |
National Research Foundation of Korea ; Next-Generation BioGreen 21 Program |
PMID:23685435 | Free, Freely available | OMICS_01548, biotools:jiffynet | https://bio.tools/jiffynet | SCR_011954 | 2025-04-03 11:09:05 | 1 | ||||||
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BWA Resource Report Resource Website 1000+ mentions |
BWA (RRID:SCR_010910) | BWA | alignment software, software resource, image analysis software, software application, sequence analysis software, data analysis software, data processing software | Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp. | sequence, alignment, reference, genome, human, short, long, read, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: shovill is related to: Proovread is related to: BWA-MEM2 has parent organization: SourceForge is required by: RelocaTE |
PMID:19451168 PMID:20080505 DOI:10.1093/bioinformatics/btp324 |
Free, Available for download, Freely available | SCR_015853, biotools:bwa-sw, OMICS_00654 | https://sourceforge.net/projects/bio-bwa/files/ https://bio.tools/bwa-sw https://sources.debian.org/src/bwa/ |
SCR_010910 | Burrows-Wheeler Aligner (BWA), Burrows-Wheeler Aligner | 2025-04-03 11:08:56 | 2095 |
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