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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome Resource Report Resource Website |
Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) | HEFalMp | data or information resource, database, service resource | HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool. | human, map, gene, functional, pathway, disease, genomic, analysis, microarray, dna, protein, sequence | has parent organization: Princeton University; New Jersey; USA | New Jersey Commission on Cancer Research ; PhRMA Foundation 2007RSGl9572; NIGMS R01 GM071966; NSF DBI-0546275; NSF IIS-0513552; NHGRI T32 HG003284; NIGMS P50 GM071508 |
PMID:19246570 | nif-0000-37186 | SCR_003506 | Human Experimental / FunctionAL MaPper, Human Experimental/FunctionAL MaPper | 2026-09-05 06:31:21 | 0 | ||||||
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NCBI Protein Database Resource Report Resource Website 1000+ mentions |
NCBI Protein Database (RRID:SCR_003257) | NCBI_GP, NCBI Protein, NCBI GP | data or information resource, database | Databases of protein sequences and 3D structures of proteins. Collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from SwissProt, PIR, PRF, and PDB. | amino acid sequence, nucleotide, dna sequence, protein, sequence, sequence data, structure, function, dna, nucleotide sequence, genomics, protein binding, gold standard |
is used by: NIF Data Federation is listed by: re3data.org is related to: AmiGO is related to: GenBank is related to: RefSeq is related to: TPA is related to: UniProtKB is related to: Protein Information Resource is related to: Protein Research Foundation is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: BioExtract is related to: DIG IT - Database of Immunoglobulins and Integrated Tools has parent organization: NCBI |
Free, Freely available | SCR_017486, r3d100011331, nif-0000-03178 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=protein, https://doi.org/10.17616/R3JH0X | SCR_003257 | Entrez Protein, Protein Database, NCBI Protein Database, Protein sequence database, Entrez Protein Database | 2026-09-05 06:31:20 | 1025 | ||||||
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Coddle-Codons Optimized to Discover Deleterious LEsions Resource Report Resource Website 10+ mentions |
Coddle-Codons Optimized to Discover Deleterious LEsions (RRID:SCR_003003) | CODDLE | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Web-accessible program that identifies the region(s) of a user-selected gene and of its coding sequence (CDS) where the anticipated point mutations are most likely to result in deleterious effects on the gene's function. CODDLe separately handles 1) the prediction of changes which should truncate the protein and destabilize the RNA - nonsense changes and splice junction changes, and 2) the prediction of missense changes which should alter function of the gene product - those in conserved amino acid blocks in the CDS. Because the region(s) identified will be PCR amplified by the user and that amplicon will be used for polymorphism discovery, the application delivers primer pairs selected by Primer3 (Steve Rozen, Helen J. Skaletsky (1996,1997,1998)Primer3.) After selecting a primer pair, CODDLe returns a window with the selected amplicon and tabulates the effects of all possible polymorphisms which could be detected in that amplicon. CODDLe will not identify the regions of a gene where polymorphisms are most likely to be discovered. Others have shown that naturally occurring SNPs are found more often in the untranslated regions of a gene. | codon, deleterious lesion, gene, coding, sequence, mutation, primer, protein sequence, cdna, sequence alignment, coding sequence |
is listed by: 3DVC has parent organization: Fred Hutchinson Cancer Center |
DOE ; Office of Energy Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30262 | SCR_003003 | Choosing codons to Optimize Discovery of Deleterious Lesions, Codons Optimized to Discover Deleterious LEsions | 2026-09-05 06:31:19 | 16 | ||||||
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Mammalian Mitochondrial Genomics Database Resource Report Resource Website |
Mammalian Mitochondrial Genomics Database (RRID:SCR_003084) | MamMiBase | data or information resource, database | Database developed to assist the phylogeneticist user in retrieving individual gene sequence alignments for genes in complete mammalian mitochondrial genomes. Data retrieval in MamMiBase requires three stages. At the first stage, the user must select the mammalian species or group that (s)he wishes to study. In the second stage, the user will select the outgroup from a list that included all species selected in the first stage plus Xenopus laevis and Gallus gallus. Finally, at the third stage, the user will select individual mitochondrial gene alignments or a phylogenetic tree that (s)he wishes to download. | phylogeny, mitochondrial, genome, gene, sequence | has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil | Brazilian Ministry of Science Technology and Innovation ; National Research Council ; Rio de Janeiro Science Foundation ; FAPERJ |
PMID:15713730 | Free, Freely available | nif-0000-03099 | SCR_003084 | 2026-09-05 06:31:19 | 0 | ||||||
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BiSearch: Primer Design and Search Tool Resource Report Resource Website 50+ mentions |
BiSearch: Primer Design and Search Tool (RRID:SCR_002980) | BiSearch | analysis service resource, data analysis service, production service resource, service resource | BiSearch is a primer-design algorithm for DNA sequences. It may be used for both bisulfite converted as well as for original not modified sequences. You can search various genomes with the designed primers to avoid non-specific PCR products by our fast ePCR method. This is especially recommended when primers are designed to amplify the highly redundant bisulfite treated sequences. It has the unique property of analyzing the primer pairs for mispriming sites on the bisulfite-treated genome and determines potential non-specific amplification products with a new search algorithm. The options of primer-design and analysis for mispriming sites can be used sequentially or separately, both on bisulfite-treated and untreated sequences. In silico and in vitro tests of the software suggest that new PCR strategies may increase the efficiency of the amplification. | dna, sequence, primer, design, algorithm, analysis, priming, bisulfite, genome, amplification, in vitro, in silico, amplification, epcr, cytosines | has parent organization: Hungarian Academy of Sciences; Budapest; Hungary | PXE International Inc. GVOP-3.1.1-2004-05-0143/3.0; Boolyai Janos Scholarship ; OTKA T34131; OTKA D42207 |
PMID:17022803 PMID:15653630 |
nif-0000-30170 | SCR_002980 | 2026-09-05 06:31:19 | 54 | |||||||
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TPA Resource Report Resource Website 1+ mentions |
TPA (RRID:SCR_003593) | TPA | data or information resource, database | Database designed to capture experimental or inferential results that support submitter-provided annotation for sequence data that the submitter did not directly determine but derived from GenBank primary data. Records are divided into two categories: * TPA:experimental: Annotation of sequence data is supported by peer-reviewed wet-lab experimental evidence. * TPA:inferential: Annotation of sequence data by inference (where the source molecule or its product(s) have not been the subject of direct experimentation) TPA records are retrieved through the Nucleotide Database and feature information on the sequence, how it was cataloged, and proper way to cite the sequence information. | gene, gene expression, nucleotide sequence, annotation, sequence |
is listed by: re3data.org is related to: GenBank is related to: NCBI Protein Database is related to: NCBI Nucleotide has parent organization: NCBI |
PMID:16901214 | nlx_157738, r3d100010506 | https://doi.org/10.17616/R3KS4H | SCR_003593 | Third Party Annotation, NCBI TPA, NCBI Third Party Annotation | 2026-09-05 06:31:21 | 4 | ||||||
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TFSEARCH: Searching Transcription Factor Binding Sites Resource Report Resource Website 100+ mentions |
TFSEARCH: Searching Transcription Factor Binding Sites (RRID:SCR_004262) | analysis service resource, data analysis service, production service resource, service resource | The TFSEARCH searches highly correlated sequence fragments against TFMATRIX transcription factor binding site profile database in the "TRANSFAC" databases developed at GBF-Braunschweig, Germany. The TFSEARCH program was written by Yutaka Akiyama (Kyoto University, currently at RWCP) in 1995. | vertebrate, arthropod, plant, yeast, dna, sequence, FASEB list |
is related to: TFFACTOR has parent organization: Computational Biology Research Center Core Facility |
PMID:9399875 | nlx_27602 | http://www.cbrc.jp/research/db/TFSEARCH.html | SCR_004262 | TFSEARCH: DNA Transcription Factor Binding Site Prediction, Transcriptional Factor Search, TFSEARCH | 2026-09-05 06:31:23 | 216 | |||||||
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MG-RAST Resource Report Resource Website 1000+ mentions |
MG-RAST (RRID:SCR_004814) | MG RAST | analysis service resource, data analysis service, production service resource, service resource | An automated analysis platform for metagenomes providing quantitative insights into microbial populations based on sequence data. The server primarily provides upload, quality control, automated annotation and analysis for prokaryotic metagenomic shotgun samples. | metagenome, base pair, sequence, phylogenetic, functional analysis, data sharing, metadata, protein, micro biome, analysis platform, bio.tools |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools has parent organization: Argonne National Laboratory |
NIAID contract HHSN272200900040C; DOE contract DE-AC02-06CH11357 |
PMID:18803844 | Acknowledgement requested, Public, Account required | OMICS_01456, biotools:mg-rast | http://metagenomics.nmpdr.org, https://bio.tools/mg-rast | SCR_004814 | The Metagenomics RAST server, Metagenomics RAST, MG-RAST - metagenomics analysis server | 2026-09-05 06:31:26 | 1165 | ||||
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Human Splicing Finder Resource Report Resource Website 1000+ mentions |
Human Splicing Finder (RRID:SCR_005181) | HSF | analysis service resource, data analysis service, production service resource, service resource | Software tool to help study pre-mRNA splicing and to better understand intronic and exonic mutations leading to splicing defects. To calculate the consensus values of potential splice sites and search for branch points, new algorithms were developed. Furthermore, they have integrated all available matrices to identify exonic and intronic motifs, as well as new matrices to identify hnRNP A1, Tra2-? and 9G8. | splicing, mutation, splicing signal, sequence, transcript, nucleotide, exon, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Ensembl has parent organization: National Institute of Health and Medical Research; Rennes; France |
PMID:19339519 | Acknowledgement requested | biotools:human_splicing_finder, OMICS_00176 | https://bio.tools/human_splicing_finder | http://www.umd.be/HSF/ | SCR_005181 | 2026-09-05 06:31:28 | 1009 | |||||
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T4-like genome database Resource Report Resource Website 10+ mentions |
T4-like genome database (RRID:SCR_005367) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of information on bacterial phages. It contains multiple phage genomes, which users can BLAST and MegaBLAST, and also hosts a Phage Forum in which users can discuss phage data. Interactive browsing of completed phage genomes is available using the program. The browser allows users to scan the genome for particular features and to download sequence information plus analyses of those features. Views of the genome are generated showing named genes BLAST similarities to other phages predicted tRNAs and other sequence features. | electron micrograph, genbank data, alignment to ortholog, blast server, dna sequence, genomics database, hydropathy plot, interactive sequence, non-vertebrate, pfam protein domain, protein sequence, protein statistics, sequence, t4-like bacteriophage genome, tulane t4-like sequencing project, viral genome database | has parent organization: Tulane University; Louisiana; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03532 | http://phage.ggc.edu/ | SCR_005367 | T4-like genome database | 2026-09-05 06:31:29 | 14 | |||||||
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Plant Genome Resource at JGI Resource Report Resource Website |
Plant Genome Resource at JGI (RRID:SCR_005315) | JGI Plant Genomics Program | data or information resource, database | The goal of the DOE JGI Plant Genome Program is to shed light on the fundamental biology of photosynthesis and transduction of solar to chemical energy. Other areas of interest include characterizing: * Ecosystems and the role of terrestrial plants and oceanic phytoplankton-in carbon sequestration. * The role of plants in coping with toxic pollutants in soils by hyper-accumulation and detoxification. * Feedstocks for biofuels, e.g., biodiesel from soybean; cellulosic ethanol from perennial grasses. * The ability to respond to environmental change (e.g., loss of diversity from monoculture produces vulnerabilities; nitrogen fixing nodules in legumes reduce fertilizer need). * The generation of useful secondary metabolites (produced largely for disease resistance)- for positive/negative control in agriculture, with attendant influence on global carbon cycle. The Plant Genome Program accomplishes the above through the following activities: # Sequence. Produce genome sequences of key plant (and algal) species to accelerate biofuel development and understand response to climate change. # Function. Develop datasets (and synthetic biology tools) to elucidate functional elements in plant genomes, with special focus on handful of flagship genomes. # Variation. Characterize natural genomic variation in plants (and their associated microbiomes), and relate to biofuel sustainability and adaptation to climate change. # Integration. Provide a centralized hub for the retrieval and deep integrated analysis of plant genome datasets. | plant, genomics, genome, photosynthesis, sequence | has parent organization: DOE Joint Genome Institute | DOE | nlx_144370 | SCR_005315 | Plant Genomics Program at JGI, DOE JGI Plant Genome Program, Plant Genomics Program - Capturing Light to Fuel Our Future | 2026-09-05 06:31:29 | 0 | |||||||
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Mitelman Database of Chromosome Aberrations in Cancer Resource Report Resource Website 100+ mentions |
Mitelman Database of Chromosome Aberrations in Cancer (RRID:SCR_012877) | data or information resource, database | The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer. The data in the Mitelman Database is manually culled from the literature and subsequently organized into three distinct sub-databases, as follows: -The sub-database of cases contains the data that relates chromosomal aberrations to specific tumor characteristics in individual patient cases. It can be searched using either the Cases Quick Searcher or the Cases Full Searcher. -The sub-database of molecular biology and clinical associations contains no data from individual patient cases. Instead, the data is pulled from studies with distinct information about: -Molecular biology associations that relate chromosomal aberrations and tumor histologies to genomic sequence data, typically genes rearranged as a consequence of structural chromosome changes. -Clinical associations that relate chromosomal aberrations and/or gene rearrangements and tumor histologies to clinical variables, such as prognosis, tumor grade, and patient characteristics. It can be searched using the Molecular Biology and Clinical (MBC) Associations Searcher -The reference sub-database contains all the references culled from the literature i.e., the sum of the references from the cases and the molecular biology and clinical associations. It can be searched using the Reference Searcher. CGAP has developed six web search tools to help you analyze the information within the Mitelman Database: -The Cases Quick Searcher allows you to query the individual patient cases using the four major fields: aberration, breakpoint, morphology, and topography. -The Cases Full Searcher permits a more detailed search of the same individual patient cases as above, by including more cytogenetic field choices and adding search fields for patient characteristics and references. -The Molecular Biology Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to gene rearrangements as a consequence of cytogenetic aberrations. -The Clinical Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to clinical associations of cytogenetic aberrations and/or gene rearrangements. -The Recurrent Chromosome Aberrations Searcher provides a way to search for structural and numerical abnormalities that are recurrent, i.e., present in two or more cases with the same morphology and topography. -The Reference Searcher queries only the references themselves, i.e., the references from the individual cases and the molecular biology and clinical associations. Sponsors: This database is sponsored by the University of Lund, Sweden and have support from the Swedish Cancer Society and the Swedish Children''s Cancer Foundation | expression, gene, aberration, abnormality, biology, breakpoint, cancer, cancer databases, characteristic, chromosomal, chromosome, clinical, clone, cytogenetic, genomic, grade, hisotology, human, mice, molecular, morphology, nucleotide, patient, pattern, polymorphism, prognosis, reagent, rearrangement, sequence, single, structural, topography, transcript, tumor, FASEB list | nif-0000-21268 | SCR_012877 | Mitelman Database | 2026-09-05 06:32:03 | 116 | ||||||||||
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Mouse Genome Database Resource Report Resource Website 500+ mentions |
Mouse Genome Database (RRID:SCR_012953) | MGD | data or information resource, database | Community model organism database for laboratory mouse and authoritative source for phenotype and functional annotations of mouse genes. MGD includes complete catalog of mouse genes and genome features with integrated access to genetic, genomic and phenotypic information, all serving to further the use of the mouse as a model system for studying human biology and disease. MGD is a major component of the Mouse Genome Informatics.Contains standardized descriptions of mouse phenotypes, associations between mouse models and human genetic diseases, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information. Data are obtained and integrated via manual curation of the biomedical literature, direct contributions from individual investigators and downloads from major informatics resource centers. MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. | gene, genome, genetic, chromosome, clone, cytogenetic, dna, genomic, inbred, mammalian, mouse, mutant, ortholog, phenotype, primer, protein, reagent, sequence, strain, bio.tools |
is used by: DisGeNET is listed by: Debian is listed by: bio.tools is related to: Mouse Genome Informatics (MGI) has parent organization: Jackson Laboratory |
NHGRI HG000330 | PMID:21051359 | biotools:mgi, biotools:mgd, nif-0000-10301 | http://www.informatics.jax.org/mgihome/projects/overview.shtml, https://bio.tools/mgd, https://bio.tools/mgi | SCR_012953 | Mouse Genome Informatics: Mouse Genome Database, MGID, Mouse Genome Informatics Database | 2026-09-05 06:32:03 | 545 | |||||
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HOMD Resource Report Resource Website 100+ mentions |
HOMD (RRID:SCR_012770) | HOMD | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on April 14,2022. Database of comprehensive information on the approximately 600 prokaryote species that are present in the human oral cavity. The majority of these species are uncultivated and unnamed, recognized primarily by their 16S rRNA sequences. The HOMD presents a provisional naming scheme for the currently unnamed species so that strain, clone, and probe data from any laboratory can be directly linked to a stably named reference entity. The HOMD links sequence data with phenotypic, phylogenetic, clinical, and bibliographic information. Full and partial oral bacterial genome sequences determined as part of this project and the Human Microbiome Project, are being added to the HOMD as they become available. HOMD offers easy to use tools for viewing all publicly available oral bacterial genomes. Data is also downloadable. | taxon, genome, 16s rna, sequence, actinobacteria, bacteroidetes, chlamydiae, chloroflexi, euryarchaeota, firmicutes, fusobacteria, proteobacteria, spirochaetes, sr1, synergistetes, tenericutes, tm7, nomenclature, naming scheme, human, FASEB list | has parent organization: Forsyth Institute | NIDCR ; ARRA ; DOE contract U01 DE016937; DOE DE016937; DOE DE015847; DOE DE017106 |
PMID:20624719 PMID:20656903 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_22198, r3d100012898 | SCR_012770 | Human Oral Microbiome Database | 2026-09-05 06:32:02 | 137 | |||||
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SYFPEITHI: A Database for MHC Ligands and Peptide Motifs Resource Report Resource Website 100+ mentions |
SYFPEITHI: A Database for MHC Ligands and Peptide Motifs (RRID:SCR_013182) | SYFPEITHI | data or information resource, database | SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules. The entries are compiled from published reports only. It contains a collection of MHC class I and class II ligands and peptide motifs of humans and other species, such as apes, cattle, chicken, and mouse, for example, and is continuously updated. Searches for MHC alleles, MHC motifs, natural ligands, T-cell epitopes, source proteins/organisms and references are possible. Hyperlinks to the EMBL and PubMed databases are included. In addition, ligand predictions are available for a number of MHC allelic products. The database is based on previous publications on T-cell epitopes and MHC ligands. It contains information on: -Peptide sequences -anchor positions -MHC specificity -source proteins, source organisms -publication references Since the number of motifs continuously increases, it was necessary to set up a database which facilitates the search for peptides and allows the prediction of T-cell epitopes. The prediction is based on published motifs (pool sequencing, natural ligands) and takes into consideration the amino acids in the anchor and auxiliary anchor positions, as well as other frequent amino acids. The score is calculated according to the following rules: The amino acids of a certain peptide are given a specific value depending on whether they are anchor, auxiliary anchor or preferred residue. Ideal anchors will be given 10 points, unusual anchors 6-8 points, auxiliary anchors 4-6 and preferred residues 1-4 points. Amino acids that are regarded as having a negative effect on the binding ability are given values between -1 and -3. Sponsors: SYFPEITHI is supported by DFG-Sonderforschungsbereich 685 and theEuropean Union: EU BIOMED CT95-1627, BIOTECH CT95-0263, and EU QLQ-CT-1999-00713. | epitope, allele, allelic, amino acid, ape, bind, cattle, chicken, class i, class ii, human, immunological database, ligand, mhc, molecule, motif, mouse, natural, organism, peptide, product, protein, sequence, specie, t-cell, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University of Tubingen; Tubingen; Germany |
nif-0000-21383, biotools:syfpeithi | https://bio.tools/syfpeithi | SCR_013182 | SYFPEITHI | 2026-09-05 06:32:04 | 269 | |||||||
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Therapeutically Relevant Multiple Pathways Database Resource Report Resource Website 1+ mentions |
Therapeutically Relevant Multiple Pathways Database (RRID:SCR_013471) | data or information resource, database | The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This database currently contains 11 entries of multiple pathways, 97 entries of individual pathways, 120 targets covering 72 disease conditions along with 120 sets of drugs directed at each of these targets. Each entry can be retrieved through multiple methods including multiple pathway name, individual pathway name and disease name. Additional information provided include protein name, synonyms, Swissprot AC number, species, gene name and location, protein sequence (AASEQ) and gene sequence (NTSEQ) as well as potential therapeutic implications while applicable. Cross-links to other databases are provided which include Genecard, GDB, Locuslink, NCBI, KEGG, OMIM, SwissProt to facilitate the access of more detailed information about various aspects of the particular target or non-target protein. Queries can be submitted by entering or selecting the required information in any one or combination of the fields in the form. User can specify full name or any part of the name in a text field, or choose one item from an selection field. Sponsors: TRMP is supported by the National University of Singapore. | drug, gene, condition, disease, intermolecular interactions and signaling pathways databases, ligand, literature, location, pathway, protein, sequence, specie, target, therapeutic, therapy | nif-0000-21402 | SCR_013471 | TRMP | 2026-09-05 06:32:07 | 3 | ||||||||||
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Manipulate and Display a DNA Sequence Resource Report Resource Website |
Manipulate and Display a DNA Sequence (RRID:SCR_013470) | Manipulate and Display a DNA Sequence | analysis service resource, data analysis service, production service resource, service resource | A software tool that allows users to input a DNA (or RNA) sequence and obtain its inverse, complement or inverse complement. The program can also be used to display a DNA sequence and its complement in double-stranded format. Functions after users paste a DNA sequence into the upper text box, then click the appropriate button to place a manipulated form of the sequence in the lower text box. | dna sequence, dna, rna, sequence, inverse, complement, inverse complement, base number | has parent organization: Colorado State University; Colorado; USA | nif-0000-31779 | SCR_013470 | Manipulate Display a DNA Sequence | 2026-09-05 06:32:07 | 0 | ||||||||
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Codon and Codon-Pair Usage Tables Resource Report Resource Website 1+ mentions |
Codon and Codon-Pair Usage Tables (RRID:SCR_018504) | CoCoPUTs | data or information resource, database | Database includes genomic codon-pair and dinucleotide statistics of all organisms with sequenced genome. Facilitates genetic variation analyses and recombinant gene design. Derived from all available GenBank and RefSeq data. | Codon-pair, codon, nucleotide, gene, genomic codon pair, dinucleotide statistic, sequence, genetic variation, recombinant gene design, data |
is related to: GenBank is related to: RefSeq |
PMID:31029701 | Free, Freely available | SCR_018504 | 2026-09-05 06:32:16 | 6 | ||||||||
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Database of Antimicrobial Activity and Structure of Peptides Resource Report Resource Website 50+ mentions |
Database of Antimicrobial Activity and Structure of Peptides (RRID:SCR_016600) | DBAASP | data or information resource, database | Collection of manually curated data regarding structure and antimicrobial activity of natural and synthetic peptides. Provides the information and analytical resources to develop antimicrobial compounds with the high therapeutic index. | data, collection, structure, antimicrobial, activity, natural, synthetic, peptide, sequence | International Science and Technology Center ; NIAID G2102; Shota Rustaveli National Science Foundation FR397718014 |
PMID:26578581 PMID:27060142 |
Free, Freely available | SCR_016600 | DataBase of Antimicrobial Activity and Structure of Peptides, Database of Antimicrobial Activity and Structure of Peptides | 2026-09-05 06:32:13 | 53 | |||||||
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RegulomeDB Resource Report Resource Website 100+ mentions |
RegulomeDB (RRID:SCR_017905) | data or information resource, database, service resource | Database that annotates SNPs with known and predicted regulatory elements in intergenic regions of H. sapiens genome. Known and predicted regulatory DNA elements include regions of DNAase hypersensitivity, binding sites of transcription factors, and promoter regions that have been biochemically characterized to regulation transcription. Source of these data include public datasets from GEO, ENCODE project, and published literature. | Annotate, SNP, regulatory, DNA, element, intergenic, region, human, genome, sequence, DNAase, hypersensitivity, binding, site, transcription, factor, promoter, region, data, FASEB list | Beta Cell Consortium ; NHGRI U54 HG 004558 |
PMID:22955989 | Free, Freely available | SCR_017905 | 2026-09-05 06:32:15 | 161 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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