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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Topology Data Bank of Transmembrane Proteins Resource Report Resource Website 1+ mentions |
Topology Data Bank of Transmembrane Proteins (RRID:SCR_007964) | TOPDB | data or information resource, database | Collection of transmembrane protein datasets containing experimentally derived topology information from the literature and from public databases. Web interface of TOPDB includes tools for searching, relational querying and data browsing, visualisation tools for topology data. | collection, transmembrane, protein, dataset, topology, public, data, sequence, database |
has parent organization: Hungarian Academy of Sciences; Budapest; Hungary works with: CCTOP |
Hungarian research and development funds ; OTKA ; Öveges fellowship ; Bolyai János Scholarship |
PMID:17921502 | Free, Available for download, Freely available for non commercial users | nif-0000-03568 | SCR_007964 | Topology Data Bank of Transmembrane Proteins, TOPDB | 2026-08-10 09:33:22 | 6 | |||||
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TAndem Splice Site DataBase Resource Report Resource Website 1+ mentions |
TAndem Splice Site DataBase (RRID:SCR_007961) | data or information resource, database | TassDB stores extensive data about alternative splice events at GYNGYN donors and NAGNAG acceptors. Currently, 114,554 tandem splice sites of eight species are contained in the database, 5,209 of which have EST/mRNA evidence for alternative splicing. Users can search by Transcript Accession Number and Gene Symbol, SQL Query, and Tandem Donor/Tandem Acceptor pairs. | bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-03536, biotools:tassdb | https://bio.tools/tassdb | http://helios.informatik.uni-freiburg.de/TassDB/ | SCR_007961 | TassDB | 2026-08-10 09:33:22 | 6 | |||||||
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TargetDB: Structural Genomics Target Search Resource Report Resource Website 10+ mentions |
TargetDB: Structural Genomics Target Search (RRID:SCR_007960) | data or information resource, database | TargetDB, a target registration database, provides information on the experimental progress and status of targets selected for structure determination. Search sequences from the PSI Structural Genomics Centers and other Structural Genomics projects.For more information about how these proteins were cloned, expressed, purified, or other experimental protocols please go to the Protein expression, purification, and crystallization DataBase. | has parent organization: Rutgers University; New Jersey; USA | nif-0000-03535 | SCR_007960 | TargetDB | 2026-08-10 09:33:20 | 19 | ||||||||||
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Bioinformatics Links Directory Resource Report Resource Website 1+ mentions |
Bioinformatics Links Directory (RRID:SCR_008018) | Bioinformatics Links Directory | data or information resource, database | Database of curated links to molecular resources, tools and databases selected on the basis of recommendations from bioinformatics experts in the field. This resource relies on input from its community of bioinformatics users for suggestions. Starting in 2003, it has also started listing all links contained in the NAR Webserver issue. The different types of information available in this portal: * Computer Related: This category contains links to resources relating to programming languages often used in bioinformatics. Other tools of the trade, such as web development and database resources, are also included here. * Sequence Comparison: Tools and resources for the comparison of sequences including sequence similarity searching, alignment tools, and general comparative genomics resources. * DNA: This category contains links to useful resources for DNA sequence analyses such as tools for comparative sequence analysis and sequence assembly. Links to programs for sequence manipulation, primer design, and sequence retrieval and submission are also listed here. * Education: Links to information about the techniques, materials, people, places, and events of the greater bioinformatics community. Included are current news headlines, literature sources, educational material and links to bioinformatics courses and workshops. * Expression: Links to tools for predicting the expression, alternative splicing, and regulation of a gene sequence are found here. This section also contains links to databases, methods, and analysis tools for protein expression, SAGE, EST, and microarray data. * Human Genome: This section contains links to draft annotations of the human genome in addition to resources for sequence polymorphisms and genomics. Also included are links related to ethical discussions surrounding the study of the human genome. * Literature: Links to resources related to published literature, including tools to search for articles and through literature abstracts. Additional text mining resources, open access resources, and literature goldmines are also listed. * Model Organisms: Included in this category are links to resources for various model organisms ranging from mammals to microbes. These include databases and tools for genome scale analyses. * Other Molecules: Bioinformatics tools related to molecules other than DNA, RNA, and protein. This category will include resources for the bioinformatics of small molecules as well as for other biopolymers including carbohydrates and metabolites. * Protein: This category contains links to useful resources for protein sequence and structure analyses. Resources for phylogenetic analyses, prediction of protein features, and analyses of interactions are also found here. * RNA: Resources include links to sequence retrieval programs, structure prediction and visualization tools, motif search programs, and information on various functional RNAs. | genomics, registry, aggregator, bioinformatics, techniques, human genome, model organism, education |
is listed by: 3DVC is related to: bioDBcore has parent organization: Ontario Institute for Cancer Research |
PMID:20542914 PMID:19528072 PMID:18586831 PMID:17586821 PMID:16845014 PMID:15980476 |
Unless otherwise noted, Creative Commons Attribution-ShareAlike License, 2.5, The community can contribute to this resource | nif-0000-10170 | SCR_008018 | Canadian Bioinformatics.ca Links Directory, Bioinformatics.ca Links Directory | 2026-08-10 09:33:23 | 9 | ||||||
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Taxonomically Broad EST Database Resource Report Resource Website 1+ mentions |
Taxonomically Broad EST Database (RRID:SCR_007962) | data or information resource, database | The taxonomically broad EST database TBestDB serves as a repository for EST data from a wide range of eukaryotes, many of which have previously not been thoroughly investigated. Users can search by annotated name, EC#, and view datasets that contain classification hierarchies for pathways, for reactions (the enzyme nomenclature system), for compounds, and for genes. Most of the data contained in TBestDB has been generated by the labs of the Protist EST Program located in six universities across Canada. | has parent organization: University of Montreal; Quebec; Canada | r3d100012085, nif-0000-03538 | https://doi.org/10.17616/R3P92V, https://doi.org/10.17616/R3P92V | SCR_007962 | TBestDB | 2026-08-10 09:33:22 | 4 | |||||||||
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SYSTOMONAS: SYSTems biology of pseudOMONAS Resource Report Resource Website |
SYSTOMONAS: SYSTems biology of pseudOMONAS (RRID:SCR_007958) | SYSTOMONAS | data or information resource, database | SYSTOMONAS is a comprehensive database of molecular networks in Pseudomonas focusing on Pseudomonas aeruginosa. We use a systems biology approach to get a deeper understanding of all cellular processes of P. aeruginosa during infection. Our long term goal is the development of a dynamic model simulating P. aeruginosa during infection. The basis for such an approach is SYSTOMONAS, a comprehensive database that includes systems data from all levels of analysis as microarray and proteomics data, metabolite measurements, sequence data, gene-regulatory networks and enzyme data. Therefore, we started with metabolomics analysis and extended to transcriptomics, genomics, and proteomics aspects. Along with the wet lab results additional data is stored, which is extracted from literature or derived from other external databases. Major sources of SYSTOMONAS are KEGG, PRODORIC, BRENDA (see section ''Sources''), which are partly stored via the data warehouse system and partly dynamically connected via SOAP, a platform-independent data transfer protocol. Comparing a Pseudomonas protein of interest with other well-characterized proteins may deliver useful insights into the evolution, distribution, and species specific function. Therefore, we searched for all deduced proteins of the SYSTOMONAS database for orthologous proteins in other Pseudomonas species to obtain orthologous protein clusters. Pseudomonas aeruginosa, systems biology, transcriptomics, genomics, proteomics | genomics, proteomics, pseudomonas aeruginosa, systems biology, transcriptomics | has parent organization: Technical University of Braunschweig; Braunschweig; Germany | nif-0000-03529 | http://www.systomonas.de | SCR_007958 | SYSTOMONAS genome Database | 2026-08-10 09:33:22 | 0 | |||||||
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The HIV Positive Selection Mutation Database Resource Report Resource Website |
The HIV Positive Selection Mutation Database (RRID:SCR_007957) | data or information resource, database | This is a dataset of clinical HIV sequences, including a method of decoding the evolutionary pathways by which HIV evolves drug resistance. "Fitness landscape" describing how HIV proteins can evolve, is shown as a kinetic network. Drug resistance is a major problem in the treatment of AIDS, due to the very high mutation rate of human immunodeficiency virus (HIV) and subsequent rapid development of resistance to new drugs. Identification of mutations associated with drug resistance is critical for both individualized treatment selection and new drug design. We have performed an automated mutation analysis of HIV Type 1 (HIV-1) protease and reverse transcriptase (RT) from approximately 50,000 AIDS patient plasma samples sequenced by Specialty Laboratories Inc. from 1999 to mid-2002. This dataset provides a nearly complete mutagenesis of HIV protease and enables the calculation of statistically significant Ka/Ks values for each individual amino acid mutation in protease and RT. Positive selection (i.e., Ka/Ks>1 indicating increased reproductive fitness) detected 19 of 23 known drug-resistant mutation positions in protease and 20 of 34 such positions in RT. We also discovered 163 new amino acid mutations in HIV protease and RT that are strong candidates for drug resistance or fitness. Our results match available independent data on protease mutations associated with specific drug treatments and mutations with positive reproductive fitness, with high statistical significance (the P values for the observed matches to occur by random chance are 1e-5.2 and 1e-16.6, respectively). Our data indicate that positive selection mapping is an analysis that can yield powerful insights from high-throughput sequencing of rapidly mutating pathogens. This database has been made possible by the generous contribution of HIV sequence chromatograms by Specialty Laboratories, Inc. | has parent organization: University of California at Los Angeles; California; USA | PMID:17108357 | nif-0000-03551 | SCR_007957 | The HIV Positive Selection Mutation Database | 2026-08-10 09:33:20 | 0 | |||||||||
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S/MARt DB Resource Report Resource Website 1+ mentions |
S/MARt DB (RRID:SCR_007910) | data or information resource, database | It collects information about scaffold/matrix attached regions and the nuclear matrix proteins that are supposed be involved in the interaction of these elements with the nuclear matrix. It covers the whole range from yeast to human. The SMAR table gives information on individual sequence elements of experimentally proven matrix binding activity. In release 2.3 it contains 500 entries. The sequences therein can be assigned to more than 150 genes from eukaryotic species ranging from yeast to human. The SMARbinder table contains 96 entries (release 2.3), but this figure does not reflect the number of independent S/MAR binding proteins. First of all, homologous factors from different species such as human and mouse SATB1 are given in different entries since they may differ in some aspects. Moreover, products of distinct but very similar genes or alternative splice products are included as separate entries. In some cases a more general term defining a S/MAR-binding activity may appear as one entry eventhough it might be composed of two or more subunits. The SMARbinder table will only contain those proteins of nuclear localization for which an interaction with a well defined S/MAR has been shown. Besides that the SMARbinder table will also include proteins that are proven components of the the salt-resitent (LIS-resistent) nuclear matrix. Gene entries, besides of giving the gene name in a long and a short (abbreviated) denomination, collect all links to individual S/MARs given in S/MARt DB and/or provide pointers to "S/MARbinders". The entries also contain links to transcription factor binding sites listed in TRANSFAC and give a link to the corresponding TRRD entry describing the regulatory features of the gene on different hierarchical levels. | nif-0000-03432 | SCR_007910 | S/MARt DB | 2026-08-10 09:33:19 | 3 | |||||||||||
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PubAnatomy Resource Report Resource Website |
PubAnatomy (RRID:SCR_007999) | PubAnatomy | data or information resource, database | An integrated exploration of biomedical literature and data. An anatomy viewer can be accessed and searches of PubMed literature are visualized as to the anatomical regions that they effect. PubAnatomy takes advantage of the 25-micron voxel level mouse brain structure annotation generated by the Allen Brain Institute and integrates Allen Brain Atlas gene expression data, relationships between brain regions and diseases for more efficient exploration of Medline database and gene expression data. | molecular neuroanatomy resource, literature, paper, publication, pubmed, visual, graphical interface, brain, brain regions, gene expression |
is related to: Allen Mouse Brain Reference Atlas has parent organization: University of Michigan; Ann Arbor; USA |
PMID:21143788 | nif-0000-07729 | SCR_007999 | 2026-08-10 09:33:22 | 0 | ||||||||
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RsiteDB- RNA binding sites database Resource Report Resource Website 1+ mentions |
RsiteDB- RNA binding sites database (RRID:SCR_007906) | data or information resource, database | It is a database that details the interactions of extruded, unpaired RNA nucleotide bases. It presents and classifies the protein binding pockets that accommodate them, and also allows the recognition of similar protein binding patters involved in interactions with different RNA molecules. Given an unbound structure of a target protein, it allows the prediction of its RNA nucleotide binding sites. The goal of this database is to describe, classify, and predict the interactions between protein binding sites and single-stranded RNA bases. Specifically, RsiteDB describes the protein binding pockets that accommodate extruded nucleotides not involved in RNA base pairing. RsiteDB has two modes of operation. Analysis and classification of protein-RNA interactions: Given a protein-RNA complex RsiteDB analyzes its nucleotide and dinucleotide binding sites. It details the properties of the protein binding pockets that accommodate these extruded nucleotides and presents a list of proteins with similar binding pockets. These proteins may have a totally different overall sequences and structural folds. RsiteDB details and visualizes the features shared by all the binding sites classified to the same cluster. Prediction of RNA dinucleotide binding sites: Given a target, potentially unbound, protein structure we search its surface for regions similar to the created 3-D consensus binding patterns of RNA dinucleotides. The recognized regions are predicted to serve as binding sites. Using leave-one-out tests, the success rate of these predictions was estimated to be about 80%. It must be noted that currently we do not aim to predict whether a protein can bind RNA; rather, given an unbound RNA binding protein, our goal is to predict its binding sites and their modes of interaction. In addition, due to a low number of single nucleotide clusters, currently, we do not use them for the prediction. | has parent organization: Tel Aviv University; Ramat Aviv; Israel | SCR_007906 | RsiteDB, RNA binding sites database | 2026-08-10 09:33:20 | 2 | |||||||||||
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ROSPath- Reactive Oxygen Species Related Signaling Pathway Resource Report Resource Website 1+ mentions |
ROSPath- Reactive Oxygen Species Related Signaling Pathway (RRID:SCR_007903) | ROSPath | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 19, 2016. Database that offers information on molecules and interactions involving signaling pathways through literature-based curative explanation and laboratory results as well as basic information through links to other databases. Its major content consists of signaling entities and signaling interactions designed to describe various levels of signaling events. It is designed to convey chemical changes and logical information flow in detail through careful data modeling of complex signaling processes. ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. ROSPath is designed to describe cellular signaling processes in molecular detail and to accumulate data and knowledge regarding signaling pathways with the organized database structure. It offers useful means to researchers by providing curative Information on the signaling pathways of interest and by providing means of managing data produced by high-throughput experiments such as proteomics and genomics tools. Furthermore, its goal is to provide effective and flexible tools for signaling pathway analysis and data mining by means of extensive data modeling and development of computer-aided tools. | has parent organization: Ewha Womans University; Seoul; South Korea | THIS RESOURCE IS NO LONGER IN SERVICE | http://rospath.ewha.ac.kr | SCR_007903 | Reactive Oxygen Species Related Signaling Pathway | 2026-08-10 09:33:20 | 2 | ||||||||
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PolyDoms Resource Report Resource Website 1+ mentions |
PolyDoms (RRID:SCR_007869) | data or information resource, database | An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations. Unlike other databases of similar nature, apart from integrating several coding SNPs (cSNPs) and protein-related information resources, we predict the implications of the non-synonymous SNPs (nsSNPs) using two well known algorithms (SIFT and PolyPhen). The results are presented in an intuitive visualization that depicts the cSNPs mapped onto protein domains and highlights those nsSNPs that are potentially damaging/deleterious or have been reported as disease allelic variants (based on OMIM). The query interface also supports searching for a list of proteins associated with any gene ontology term, pathway, disease term or gene family. Results can also be downloaded as a spreadsheet. The visualization page also provides links to several other related sources and dynamic links to literature references. | SCR_007869 | PolyDoms | 2026-08-10 09:33:20 | 1 | ||||||||||||
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RPG - Ribosomal Protein Gene database Resource Report Resource Website 10+ mentions |
RPG - Ribosomal Protein Gene database (RRID:SCR_007904) | RPG | data or information resource, database | It is a database that provides detailed information about ribosomal protein (RP) genes. It contains data from humans and other organisms. Users can search this database by gene name and organism. Each record includes sequences (genomic, cDNA, and amino acid sequences), intron/exon structures, genomic locations, and information about orthologs. In addition, users can view and compare the gene structures from different organisms and make multiple amino acid sequence alignments. RPG also provides information on small nucleolar RNAs (snoRNAs) that are encoded in the introns of RP genes. | has parent organization: University of Missouri; Missouri; USA | http://ribosome.miyazaki-med.ac.jp/ | SCR_007904 | Ribosomal Protein Gene database | 2026-08-10 09:33:19 | 27 | |||||||||
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POINT: Prediction Of INTeractome Resource Report Resource Website 50+ mentions |
POINT: Prediction Of INTeractome (RRID:SCR_007866) | data or information resource, database | POINT is a protein-protein interaction database. It includes annotation of interologs and protein phsophorylation. This work analyzes the applicability of orthologs-based PPI prediction and provide the theoretical upper-bound of this approach. |
has parent organization: National Health Research Institutes; Taipei; Taiwan has parent organization: National Taiwan University; Taipei; Taiwan |
http://point.bioinformatics.tw | SCR_007866 | POINT | 2026-08-10 09:33:20 | 51 | ||||||||||
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CropNet Resource Report Resource Website 1+ mentions |
CropNet (RRID:SCR_007987) | data or information resource, database | The UK Crop Plant Bioinformatics Network (UK CropNet) was established in 1996 as part of the BBSRC''s Plant and Animal Genome Analysis special initiative. Our focus is the development, management, and distribution of information relating to comparative mapping and genome research in crop plants. Find out more about our background or read our UK CropNet paper published in Nucleic Acids Research (pdf reader required).This site hosts a wide range of databases and software developed by UK CropNet, as well as hosting many other plant databases developed in the USA. You can perform a keyword text search across all of these databases or use our UK CropNet BLAST server to search against all of the sequences in these databases. | nif-0000-04189 | SCR_007987 | CropNet | 2026-08-10 09:33:22 | 7 | |||||||||||
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PolyA DB Resource Report Resource Website 100+ mentions |
PolyA DB (RRID:SCR_007867) | PolyA_DB | data or information resource, database | A database of mRNA polyadenylation sites. PolyA_DB version 1 contains human and mouse poly(A) sites that are mapped by cDNA/EST sequences. PolyA_DB version 2 contains poly(A) sites in human, mouse, rat, chicken and zebrafish that are mapped by cDNA/EST and Trace sequences. Sequence alignments between orthologous sites are available. PolyA_SVM predicts poly(A) sites using 15 cis elements identified for human poly(A) sites. | FASEB list | has parent organization: University of Medicine and Dentistry of New Jersey; New Jersey; USA | SCR_007867 | 2026-08-10 09:33:19 | 105 | ||||||||||
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RNAiDB Resource Report Resource Website 10+ mentions |
RNAiDB (RRID:SCR_007900) | data or information resource, database | It provides access to results from RNAi interference studies in C. elegans, including images, movies, phenotypes, and graphical maps. RNAiDB contains all published RNAi experiments in C. elegans that have been deposited in WormBase, including data from the literature and published large-scale RNAi studies. RNAi to gene mappings for all experiments have been re-analyzed using ePCR and/or a sliding n-mer window method to identify all genes in different genomic locations that may potentially be inhibited by each experiment. Gene maps showing canonical and putative alternate mappings are displayed graphically on RNAi Experiment and Gene/ORF card pages. | has parent organization: New York University; New York; USA | SCR_007900 | RNAiDB | 2026-08-10 09:33:20 | 11 | |||||||||||
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Electroencephalogram Database: Prediction of Epileptic Seizures Resource Report Resource Website |
Electroencephalogram Database: Prediction of Epileptic Seizures (RRID:SCR_008032) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 29,2025. Electroencephalogram (EEG) data recorded from invasive and scalp electrodes. The EEG database contains invasive EEG recordings of 21 patients suffering from medically intractable focal epilepsy. The data were recorded during an invasive pre-surgical epilepsy monitoring at the Epilepsy Center of the University Hospital of Freiburg, Germany. In eleven patients, the epileptic focus was located in neocortical brain structures, in eight patients in the hippocampus, and in two patients in both. In order to obtain a high signal-to-noise ratio, fewer artifacts, and to record directly from focal areas, intracranial grid-, strip-, and depth-electrodes were utilized. The EEG data were acquired using a Neurofile NT digital video EEG system with 128 channels, 256 Hz sampling rate, and a 16 bit analogue-to-digital converter. Notch or band pass filters have not been applied. For each of the patients, there are datasets called ictal and interictal, the former containing files with epileptic seizures and at least 50 min pre-ictal data. the latter containing approximately 24 hours of EEG-recordings without seizure activity. At least 24 h of continuous interictal recordings are available for 13 patients. For the remaining patients interictal invasive EEG data consisting of less than 24 h were joined together, to end up with at least 24 h per patient. An interdisciplinary project between: * Epilepsy Center, University Hospital Freiburg * Bernstein Center for Computational Neuroscience (BCCN), Freiburg * Freiburg Center for Data Analysis and Modeling (FDM). | electrode, electroencephalogram (eeg), epilepsy, epileptic seizure, focal, algorithm, analysis, behavioral, brain, cardiac, computational, data, defibrillator, hippocampus, medically, modeling, neocortical, neuroscience, patient, predict, seizure, stimulation, structure, surgical, model |
is listed by: 3DVC has parent organization: University of Freiburg; Baden-Wurttemberg; Germany |
University of Freiburg; Baden-Wurttemberg; Germany | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10217 | SCR_008032 | EEG Database | 2026-08-10 09:33:23 | 0 | |||||||
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SitesBase Resource Report Resource Website 1+ mentions |
SitesBase (RRID:SCR_007932) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of known ligand binding sites within the PDB which is navigable by PDB identifier or ligand 3 letter code e.g. NAD. Each binding site has a frequently updated register of structurally similar binding sites sharing atomic similarity detected by geometric hashing. Multiple alignments, structural superpositions and links to other structural databases are also available enabling further analysis. The rapid expansion of structural information for protein-ligand binding sites is potentially an important source of information in structure-based drug design and in understanding ligand cross reactivity and toxicity. We have developed a large database of ligand binding sites extracted automatically from the Protein Data Bank. This has been combined with a method for calculating binding site similarity based on geometric hashing to create a relational database for the retrieval of site similarity and binding site superposition. It contains an all-against-all comparison of binding sites and holds known protein-ligand binding sites, which are made accessible to data mining. Here we demonstrate its utility in two structure-based applications: in determining site similarity and in aiding the derivation of a receptor-based pharmacophore model. | has parent organization: University of Leeds; West Yorkshire; United Kingdom | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_007932 | SitesBase | 2026-08-10 09:33:20 | 3 | ||||||||||
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RISSC - Ribosomal Internal Spacer Sequence Collection Resource Report Resource Website 1+ mentions |
RISSC - Ribosomal Internal Spacer Sequence Collection (RRID:SCR_007898) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 25, 2013. RISSC is a database of ribosomal 16S-23S spacer sequences intended mainly for molecular biology studies in typing, phylogeny and population genetics. Ribosomal spacers have proven to be extremely useful tools for typing and identifying closely related prokaryotes due to their high variability in size and/or sequence, much more so than the flanking 16S and 23S rRNA genes. These genes are commonly used to establish molecular relationships among microbes at a taxonomic level of species or higher (e.g genus, domain...). However their internal transcribed spacers (ITS) are much more useful to discriminate at the species or even strain level. Currently, many published papers are showing the growing importance of these regions of the ribosomal operon in these types of studies. A second, much shorter, ribosomal spacer can be found between rRNA genes 23S and 5S, also of phylogenetic interest. We intend to incorporate them into the database in the near future. By creating RISSC, our intention is to provide the scientific community with a comprehensive set of ribosomal spacer sequences, fully edited and characterized with a key feature as is the presence/absence of tRNA genes within them, ready to be used and compared with their own ITS sequences. | THIS RESOURCE IS NO LONGER IN SERVICE | http://egg.umh.es/rissc | SCR_007898 | RISSC | 2026-08-10 09:33:19 | 1 |
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