Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
SNPedia Resource Report Resource Website 50+ mentions |
SNPedia (RRID:SCR_006125) | SNPedia | data or information resource, database | Wiki investigating human genetics including information about the effects of variations in DNA, citing peer-reviewed scientific publications. It is used by Promethease to analyze and help explain your DNA. It is based on a wiki model in order to foster communication about genetic variation and to allow interested community members to help it evolve to become ever more relevant. As the cost of genotyping (and especially of fully determining your own genomic sequence) continues to drop, we''''ll all want to know more - a lot more - about the meaning of these DNA variations and SNPedia will be here to help. SNPedia has been launched to help realize the potential of the Human Genome Project to connect to our daily lives and well-being. For more information see the Wikipedia page, http://en.wikipedia.org/wiki/SNPedia * Download URL: http://www.SNPedia.com/index.php/Bulk * Web Service URL: http://bots.SNPedia.com/api.php | dna, genetics, gene, genome, genoset, genotype, medicine, medical condition, genetic variation, dna, genetic variation, genomics, single nucleotide polymorphism, medical association, phenotypic association, genealogical association, variation, genome annotation, phenotype, web service, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
PMID:22140107 | Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | biotools:snpedia, grid.465250.0, nlx_151604 | https://ror.org/0253rdk33, https://bio.tools/snpedia | SCR_006125 | 2026-08-15 11:28:48 | 64 | ||||||
|
RNA CoSSMos Resource Report Resource Website 1+ mentions |
RNA CoSSMos (RRID:SCR_006120) | RNA CoSSMos | data or information resource, database | Database to search through the nucleic acid structures from the Protein Data Bank and examine structural motifs, including (a)symmetric internal loops, bulge loops, and hairpin loops. They have compiled over 2,000 three-dimensional structures, which can now be searched using different parameters, including PDB information, experimental technique, sequence, and motif type. RNA secondary structure is important for designing therapeutics, understanding protein-RNA binding and predicting tertiary structure of RNA. Several databases and downloadable programs exist that specialize in the three-dimensional (3D) structure of RNA, but none focus specifically on secondary structural motifs such as internal, bulge and hairpin loops. To create the RNA CoSSMos database, 2156 Protein Data Bank (PDB) files were searched for internal, bulge and hairpin loops, and each loop''''s structural information, including sugar pucker, glycosidic linkage, hydrogen bonding patterns and stacking interactions, was included in the database. False positives were defined, identified and reclassified or omitted from the database to ensure the most accurate results possible. Users can search via general PDB information, experimental parameters, sequence and specific motif and by specific structural parameters in the subquery page after the initial search. Returned results for each search can be viewed individually or a complete set can be downloaded into a spreadsheet to allow for easy comparison. The RNA CoSSMos database is updated weekly. | secondary structure motif, rna, three-dimensional structure, internal loop, bulge loop, hairpin loop, motif, nucleic acid, structure, secondary structure, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Saint Louis University; Missouri; USA |
NIGMS 1R15GM085699-01A1 | PMID:22127861 | Freely accessible, Acknowledgement requested | nlx_151597, biotools:rna_cossmos | https://bio.tools/rna_cossmos | SCR_006120 | Znosko Lab RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database, Znosko Lab CoSSMos Database, RNA Characterization of Secondary Structure Motifs (RNA CoSSMos), RNA CoSSMos Database, RNA CoSSMos - Characterization of Secondary Structure Motifs, RNA Characterization of Secondary Structure Motifs | 2026-08-15 11:28:44 | 1 | ||||
|
Enzyminer. Resource Report Resource Website 1+ mentions |
Enzyminer. (RRID:SCR_006241) | data or information resource, service resource, database, production service resource | EnzyMiner automatically identifies the PubMed abstracts that contain information on the impact of a protein level mutation on the stability or the activity of a given enzyme. For querying EnzyMiner, please choose an enzyme from the list and specify if you are interested in disease related abstracts or non-disease related abstracts. For disease related abstracts, the mutation list and direct links to the abstracts will be displayed. For those abstracts that are related to non-diseases, in addition to having the mutation list, the abstracts are also categorized into two groups. These two groups determine whether the mutation has an effect on the enzyme''s stability or functionality. If your target enzyme is not in the list, please write the enzyme name to the query box. We will run the EnzyMiner for the desired enzyme and add the results to our database. EnzyMiner has been developed by Computational Biology Lab of Sabanci University. | has parent organization: Sabanci University; Istanbul; Turkey | PMID:19758466 | nif-0000-06673 | SCR_006241 | 2026-08-15 11:28:45 | 2 | ||||||||||
|
PANOGA Resource Report Resource Website 1+ mentions |
PANOGA (RRID:SCR_006242) | PANOGA | analysis service resource, service resource, data analysis service, production service resource | A web server to devise functionally important pathways through the identification of single nucleotide polymorphism (SNP)-targeted genes within these pathways. The strength of the methodology stems from its multidimensional perspective, where evidence from the following five resources is combined: (i) genetic association information obtained through GWAS, (ii) SNP functional information, (iii) protein-protein interaction network, (iv) linkage disequilibrium and (v) biochemical pathways. | single nucleotide polymorphism, genome-wide association study, pathway, function, gene, genetic association, protein-protein interaction network, linkage disequilibrium, protein-protein interaction |
is listed by: OMICtools has parent organization: Sabanci University; Istanbul; Turkey |
PMID:24413675 | Free, Public, Free for academic use, (source code upon request) | OMICS_02238 | SCR_006242 | Pathway and Network-Oriented GWAS Analysis, Pathway and Network Oriented GWAS (Genome-Wide Association Study) Analysis, Pathway and Network Oriented GWAS Analysis | 2026-08-15 11:28:49 | 7 | ||||||
|
NeuroDojo Resource Report Resource Website |
NeuroDojo (RRID:SCR_006237) | NeuroDojo | data or information resource, blog, narrative resource | A blog by Zen Faulkes, an invertebrate neuroethologist at The University of Texas-Pan American. | brain, behavior, evolution, neuroethology, blogging, internet, sociology, science | Creative Commons Attribution-Noncommercial License, v3 United States | nlx_151811 | SCR_006237 | NeuroDojo - Brains behaviour and evolution | 2026-08-15 11:28:48 | 0 | ||||||||
|
ProPortal Resource Report Resource Website 1+ mentions |
ProPortal (RRID:SCR_006112) | ProPortal | data or information resource, database | ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. Our goal is to provide a source of cross-referenced data across multiple scales of biological organization--from the genome to the ecosystem--embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phage that infect them. The site currently contains the genomes of 13 Prochlorococcus strains, 11 Synechococcus strains and 28 cyanophage strains that infect one or both groups. Cyanobacterial and cyanophage genes are clustered into orthologous groups that can be accessed by keyword search or through a genome browser. Users can also identify orthologous gene clusters shared by cyanobacterial and cyanophage genomes. Gene expression data for Prochlorococcus ecotypes MED4 and MIT9313 allow users to identify genes that are up or downregulated in response to environmental stressors. In addition, the transcriptome in synchronized cells grown on a 24-h light-dark cycle reveals the choreography of gene expression in cells in a ''natural'' state. Metagenomic sequences from the Global Ocean Survey from Prochlorococcus, Synechococcus and phage genomes are archived so users can examine the differences between populations from diverse habitats. Finally, an example of cyanobacterial population data from the field is included. | genomic, metagenomic, transcriptomic, field data, marine cyanobacterium, genome, ecosystem, ecotypic variation, microbial taxon, phage, genome, gene, orthologous gene cluster, cyanobacteria, cyanophage genome, population dynamics, microarray, metagenome, protein, cyanophage, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
NSF OCE-0425602; NSF EF0424599; DOE DE-FG02-02ER63445; DOE DE-FG02-08ER64516; DOE DE-FG02-07ER64506; Gordon and Betty Moore Foundation award letter 495.01 |
PMID:22102570 | Public | nlx_151586, biotools:proportal | https://bio.tools/proportal | SCR_006112 | Prochlorococcus Portal | 2026-08-15 11:28:46 | 9 | ||||
|
Neuromarca Resource Report Resource Website |
Neuromarca (RRID:SCR_006236) | Neuromarca | data or information resource, blog, narrative resource | A blog about neuromarketing, a research methodology born of the fusion of neuroscience and research techniques of conventional marketing in Spanish by Sergio Monge. If you want to read it in English, Google translate does a good job. A good way to learn about practical applications of neuroscience to a field with little exposure in conventional neuroscience academia. The neuromarketing is a branch of market research that uses biometric measurement systems in their studies (EEG, MRI, galvanic skin response, eye-tracking, heart rate ...). One of the most significant differences with conventional research neuromarketing is not content with the verbal statements of the subjects, but aims to go further, unraveling the effect of the unconscious and emotions in decision-making. The author of Neuromarca is Sergio Monge, Degree in Advertising and Public Relations and PhD in Audiovisual Communication and Advertising from the University of the Basque Country / Euskal Herriko Universitatea. Sergio has experience in the field of Corporate Communications and is familiar with the blogosphere and the Internet communication environment. He currently teaches full time for the UPV / EHU and offers some services such as communications and marketing consultant. The interest of the author of this blog by neuroscience and neuromarketing longstanding but his attendance Neuro Connections conference, held from 5 to 7 febreo 2009 in Krakow (Poland), is the main reason he began writing Neuromarca. The intention is that Neuromarca is a repository of articles in Spanish about neuromarketing, so that could be a reference to the Hispanic blogosphere in this emerging discipline. | neuroscience, neuromarketing, spanish, market research, biometric measurement system, eeg, mri, galvanic skin response, eye-tracking, heart rate | nlx_151808 | SCR_006236 | Neuromarca - Blog de Neuromarketing | 2026-08-15 11:28:49 | 0 | |||||||||
|
BoDD Resource Report Resource Website 1+ mentions |
BoDD (RRID:SCR_006592) | BoDD | data or information resource, database | BoDD is an electronic re-incarnation of BOTANICAL DERMATOLOGY by John Mitchell & Arthur Rook. This updated on-line version is made available to users with the kind permission of the original authors. The original edition has been digitized by Google Books. Although BoDD is actively being updated, updates are uploaded to the website only at about monthly intervals. A vast body of information collected by the Editor (Richard J. Schmidt PhD) awaits addition to the database. Users should be aware that some of the information that is currently accessible is neither accurate nor up-to-date. None of the information presented in BoDD should be regarded as a recommendation to treat any disease or disorder. The following are databases that are present in BoDD: -Balsaminaceae -Elaeagnaceae -Gelsemiaceae -Gentianaceae / Potaliacaceae -Hydroleaceae -Loganiaceae / Spigeliaceae / Strychnaceae -Martyniaceae -Orobanchaceae -Phrymaceae -Sabiaceae -Tamaricaceae | elaeagnaceae, gelsemiaceae, balsaminaceae, botanical, dermaotology, disease, disorder, gentianaceae, hydroleaceae, loganiaceae, martyniaceae, orobanchaceae, phrymaceae, plant, potaliacaceae, sabiaceae, spigeliaceae, strychnaceae, tamaricaceae, treatment | nif-0000-21067 | SCR_006592 | The Botanical Dermatology Database, Botanical Dermatology Database, the Botanical Dermatology Database | 2026-08-15 11:28:49 | 2 | |||||||||
|
MCMBB Resource Report Resource Website 1+ mentions |
MCMBB (RRID:SCR_006198) | MCMBB | analysis service resource, service resource, data analysis service, production service resource | A web tool used in the discrimination of beta-barrel outer membrane proteins with a Markov chain model. MCMBB is a fast algorithm, which discriminates beta-barrel outer membrane proteins from globular proteins and from alpha-helical membrane proteins. The algorithm is based on a 1st order Markov Chain model, which captures the alternating pattern of hydrophilic-hydrophobic residues occurring in the membrane-spanning beta-strands of beta-barrel outer membrane proteins. The model achieves high accuracy in discriminating outer membrane proteins, since it can discriminate beta-barrel outer membrane with a correct classification rate of 90.08% and the globular proteins with a correct classification rate of 92.67%. When submitting alpha-helical membrane proteins, the method shows an accuracy of 100%. A score greater than zero, indicates that the protein is more likely to be a beta-barrel outer membrane protein, whereas a result lower than zero, indicates that the protein is probable not a beta-barrel. You may enter up to 1000 sequences in Fasta format. | algorithm, beta-barrel outer membrane protein, globular protein, alpha-helical membrane protein, markov chain model, beta-barrel, protein, outer membrane protein, classification, fasta, model |
is listed by: 3DVC has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
Acknowledgement requested | nlx_151742 | SCR_006198 | MCMBB: Markov Chain Model for Beta Barrels | 2026-08-15 11:28:47 | 2 | |||||||
|
waveTM Resource Report Resource Website 1+ mentions |
waveTM (RRID:SCR_006199) | waveTM | analysis service resource, service resource, data analysis service, production service resource | A web tool for the prediction of transmembrane segments in alpha-helical membrane proteins. A sliding window of 20 residues is used in order to calculate an average residue hydrophobicity profile, using a hydrophobicity scale. Discrete Wavelet Transform is applied on the average residue hydrophobicity signal and the different frequency coefficients produced are adaptively thresholded so that a denoised signal is reconstructed. A dynamic programming algorithm processes the denoised signal to provide the optimal model for the number, the length and the location of membrane-spanning segments. The end points of the predicted segments are extended to include flanking hydrophobic residues. Topology prediction can also be obtained in conjunction with OrienTM (Liakopoulos et al, 2001). Analysis of a non-redundant test set, provides a ~95% per segment accuracy and ~90% per residue accuracy. Now, you can: * Run waveTM on a sequence * Browse the results obtained with the algorithm * View additional material concerning the hydrophobicity scale | wavelet, predict, transmembrane segment, alpha-helical membrane protein, protein, protein sequence, discrete wavelet transform, sequence, hydrophobicity scale, hydrophobicity, transmembrane protein, topology, transmembrane |
is related to: orienTM is related to: PRED-TMR has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
University of Athens; Athens; Greece | PMID:15107018 | Freely available | nlx_151743 | SCR_006199 | waveTM: Wavelet-based transmembrane segment prediction | 2026-08-15 11:28:49 | 3 | |||||
|
PRED-COUPLE 2 Resource Report Resource Website 1+ mentions |
PRED-COUPLE 2 (RRID:SCR_006193) | PRED-COUPLE 2 | analysis service resource, service resource, data analysis service, production service resource | A tool that predicts the coupling specificity of G-protein coupled receptors to G-proteins. We present a method that combines hidden Markov models and a feed-forward artificial neural network to overcome these limitations, while producing the most accurate predictions currently available. Using an up-to-date curated dataset, our method yields a 94% correct classification rate in a 5-fold cross-validation test. The method predicts also promiscuous coupling preferences, including coupling to G12/13, whereas unlike other methods avoids overpredictions (false positives) when non-GPCR sequences are encountered. * The PRED-COUPLE 2.00 system predicts coupling specificty of GPCRs to all families of G-proteins (including G12/13). * Coupling to more than one G-protein families can also be predicted with this tool. * No membrane topology information is required. Furthermore, no membrane topology prediction is executed by this method. * The method is based on a refined library of highly-discriminative Hidden Markov Models. Hits from individual profiles are combined by a feed-forward Artificial Neural Network to produce the final output. * Seven (7) transmembrane receptor signatures from the Pfam database version 17.00 are also applied in order to verify a true GPCR sequence. When a query sequence is not recognized as a 7 transmembrane receptor a message is shown. | predict, g-protein coupled receptor, g-protein, fasta, hidden markov model, coupling specificity | has parent organization: University of Athens Biophysics and Bioinformatics Laboratory | Greek Ministry of National Education and Religious Affairs | PMID:16174684 PMID:15847681 |
Free for academic use | nlx_151738 | SCR_006193 | PRED-COUPLE | 2026-08-15 11:28:49 | 6 | |||||
|
PRED-TMBB Resource Report Resource Website 50+ mentions |
PRED-TMBB (RRID:SCR_006190) | PRED-TMBB | analysis service resource, service resource, data analysis service, production service resource | A web tool, based on a Hidden Markov Model, capable of predicting the transmembrane beta-strands of the gram-negative bacteria outer membrane proteins, and of discriminating such proteins from water-soluble ones when screening large datasets. The model is trained in a discriminative manner, aiming at maximizing the probability of the correct prediction rather than the likelihood of the sequences. The training is performed on a non-redundant database consisting of 16 outer membrane proteins (OMP''s) with their structures known at atomic resolution. We show that we can achieve predictions at least as good comparing with other existing methods, using as input only the amino-acid sequence, without the need of evolutionary information included in multiple alignments. The method is also powerful when used for discrimination purposes, as it can discriminate with a high accuracy the outer membrane proteins from water soluble in large datasets, making it a quite reliable solution for screening entire genomes. This web-server can help you run a discriminating process on any amino-acid sequence and thereafter localize the transmembrane strands and find the topology of the loops. | protein, hidden markov model, prediction, membrane protein, beta-barrel outer membrane protein, gram-negative bacteria, topology, outer membrane protein, beta-barrel protein, probability, transmembrane strand, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
Greek Ministry of National Education and Religious Affairs | PMID:15215419 PMID:15070403 |
Acknowledgement requested | biotools:pred-tmbb, nlx_151734 | https://bio.tools/pred-tmbb | SCR_006190 | PRED-TMBB: A Hidden Markov Model method capable of predicting and discriminating beta-barrel outer membrane proteins | 2026-08-15 11:28:44 | 58 | ||||
|
StemCellDB Resource Report Resource Website 1+ mentions |
StemCellDB (RRID:SCR_006305) | hES Cell Database | data or information resource, database | Database characterizing and comparing pluripotent human stem cells. The growth and culture conditions of all 21 human embryonic stem cell lines approved under the August 2001 Presidential Executive Order have been analyzed. Available to the scientific community are the results of our rigorous characterization of these cell lines at a more advanced level. | human pluripotent stem cell, human embryonic stem cell line, gene expression, pluripotent, adult, affymetrix microarray platform, agilent microarray platform, gene, stem cell, affymetrix, agilent, microarray, snp, array cgh, methylation, mirna array | has parent organization: National Institutes of Health | NINDS | PMID:23117585 | Public | nlx_151996 | SCR_006305 | NIH Stem Cell Database | 2026-08-15 11:28:48 | 1 | |||||
|
Clinical Genomic Database Resource Report Resource Website 10+ mentions |
Clinical Genomic Database (RRID:SCR_006427) | CGD | data or information resource, database | Manually curated database of all conditions with known genetic causes, focusing on medically significant genetic data with available interventions. Includes gene symbol, conditions, allelic conditions, inheritance, age in which interventions are indicated, clinical categorization, and general description of interventions/rationale. Contents are intended to describe types of interventions that might be considered. Includes only single gene alterations and does not include genetic associations or susceptibility factors related to more complex diseases. | genomic sequencing, genome, clinical, pediatric, adult human, young human, genomic medicine, whole-genome sequencing, gene, organ system, intervention, gene symbol, condition, allelic condition, clinical categorization, manifestation, inheritance, age group, genetic variant, pathogenic mutation |
is used by: NIF Data Federation has parent organization: National Human Genome Research Institute |
NHGRI | PMID:23696674 | Free, Freely available | nlx_152872, r3d100012332 | https://doi.org/10.17616/R31D3C | SCR_006427 | Clinical Genomics Database | 2026-08-15 11:28:50 | 10 | ||||
|
Plant Genomes Central Resource Report Resource Website 10+ mentions |
Plant Genomes Central (RRID:SCR_006541) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 19, 2016. A database of completed or in-progress sequenced plant genomes. The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future. In addition, GenBank accession are provided toward the goal of determining the sequence of that plant genome. | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03298 | http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PlantList.html | SCR_006541 | Plant Genomes Central | 2026-08-15 11:28:51 | 10 | |||||||||
|
HOMSTRAD - Homologous Structure Alignment Database Resource Report Resource Website 10+ mentions |
HOMSTRAD - Homologous Structure Alignment Database (RRID:SCR_006544) | HOMSTRAD | data or information resource, database | A curated database of structure-based alignments for homologous protein families. All known protein structure are clustered into homologous families (i.e., common ancestry), and the sequences of representative members of each family are aligned on the basis of their 3D structures using the programs MNYFIT, STAMP and COMPARER. These structure-based alignments are annotated with JOY and examined individually. | homologous structure, protein, protein family, protein structure, align, 3d structure, structure-based alignment |
is listed by: OMICtools has parent organization: National Institute of Biomedical Innovation; Osaka; Japan |
PMID:14681395 | nif-0000-02977, OMICS_00976 | http://www-cryst.bioc.cam.ac.uk/homstrad | SCR_006544 | HOMologous STRucture Alignment Database | 2026-08-15 11:28:46 | 24 | ||||||
|
GeneTerm Linker Resource Report Resource Website 1+ mentions |
GeneTerm Linker (RRID:SCR_006385) | GTLinker | analysis service resource, service resource, data analysis service, production service resource | Web application that filters and links enriched output data identifying sets of associated genes and terms, producing metagroups of coherent biological significance. The method uses fuzzy reciprocal linkage between genes and terms to unravel their functional convergence and associations. It can also be accessed through its web service. | gene, functional annotation, function, functional metagroup, p-value, annotation, web service |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: InterPro has parent organization: Spanish National Research Council; Madrid; Spain |
PMID:21949701 | Acknowledgement requested | OMICS_02227 | SCR_006385 | GeneTerm Linker - post enrichment functional association by non-redundant reciprocal linkage | 2026-08-15 11:28:50 | 2 | ||||||
|
mitopred Resource Report Resource Website 1+ mentions |
mitopred (RRID:SCR_006135) | MITOPRED | analysis service resource, service resource, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It predicts nuclear-encoded mitochondrial proteins from all eukaryotic species including plants. Prediction is based on the occurrence patterns of Pfam domains (version 16.0) in different cellular locations, amino acid composition and pI value differences between mitochondrial and non-mitochondrial locations. Additionally, you may download MITOPRED predictions for complete proteomes. Re-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. The Mitopred algorithm works based on the differences in the Pfam domain occurrence patters and amino acid composition differences in different cellular compartments. Location specific Pfam domains have been determined from the entire eukaryotic set of Swissprot database. Similarly, differences in the amino acid composition between mitochondrial and non-mitochondrial sequences were pre-calculated. This information is used to calculate location-specific amino acid weights that are used to calculate amino acid score. Similarly, pI average values of the N-terminal 25 residues in different cellular location were also determined. This knowledge-base is accessed by the program during execution. | yeast, c. elegans, drosophila, mouse, human, arabidopsis, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University at Albany; New York; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:mitopred, nif-0000-03956, BioTools:mitopred | https://bio.tools/mitopred, https://bio.tools/mitopred, https://bio.tools/mitopred | SCR_006135 | A genome-scale method for predicting mitochondrial proteins | 2026-08-15 11:28:44 | 7 | ||||||
|
Genotype-IBD Sharing Test Resource Report Resource Website 100+ mentions |
Genotype-IBD Sharing Test (RRID:SCR_006257) | GIST | software application, resource, software resource | Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix. | identical by descent, genotype, gene, genetic, genomic, unix, ms-windows, linux, linkage disequilibrium, linkage, association |
is listed by: Genetic Analysis Software has parent organization: Vanderbilt University; Tennessee; USA |
Vanderbilt Diabetes Center ; NHGRI HG00376; NIDDK DK62370; NHGRI N01-HG-15465 |
PMID:14872409 | nlx_154133 | http://phg.mc.vanderbilt.edu/content/gist | SCR_006257 | 2026-08-15 11:28:45 | 120 | ||||||
|
MEDIE Resource Report Resource Website 1+ mentions |
MEDIE (RRID:SCR_006254) | MEDIE | analysis service resource, service resource, data analysis service, production service resource | An intelligent search engine to retrieve biomedical correlations from MEDLINE, based on indexing by Natural Language Processing and Text Mining techniques. You can find abstracts/sentences in MEDLINE by specifying semantics of correlations; for example, What activates p53 and What causes colon cancer. Semantic search uses a semantic query for finding biomedical correlations. Input a subject, a verb, and an object of a concept (or either of them) into a form. Results of the query will be shown in a second. (E.g., What does p53 activate? (subject=p53, verb=activate)) Reference: Miyao, Yusuke, Tomoko Ohta, Katsuya Masuda, Yoshimasa Tsuruoka, Kazuhiro Yoshida, Takashi Ninomiya and Jun''''ichi Tsujii (2006) Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases. Proceedings COLING-ACL 2006. Sydney, Australia, pp. 1017--1024. | natural language processing, text mining, semantic search, computational linguistics, search engine |
is used by: BioLexicon is listed by: OMICtools is listed by: FORCE11 is related to: MEDLINE has parent organization: University of Tokyo; Tokyo; Japan has parent organization: National Centre for Text Mining |
nif-0000-06682, OMICS_01188 | http://www-tsujii.is.s.u-tokyo.ac.jp/medie/, https://www.force11.org/node/4643 | SCR_006254 | 2026-08-15 11:28:49 | 3 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
