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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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DBD: Transcription factor prediction database Resource Report Resource Website 10+ mentions |
DBD: Transcription factor prediction database (RRID:SCR_002300) | DBD | data or information resource, database, service resource | Database of predicted transcription factors in completely sequenced genomes. The predicted transcription factors all contain assignments to sequence specific DNA-binding domain families. The predictions are based on domain assignments from the SUPERFAMILY and Pfam hidden Markov model libraries. Benchmarks of the transcription factor predictions show they are accurate and have wide coverage on a genomic scale. The DBD consists of predicted transcription factor repertoires for 930 completely sequenced genomes. | predicted transcription factor, transcription factor, dna-binding domain, proteome, sequence, domain family, protein sequence, genome, prediction |
is listed by: OMICtools is related to: SUPERFAMILY is related to: Pfam has parent organization: MRC Laboratory of Molecular Biology |
PMID:18073188 PMID:16381970 |
Acknowledgement requested | nif-0000-02726, OMICS_00531 | SCR_002300 | DNA-binding domain | 2026-08-29 11:29:22 | 10 | ||||||
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Ligand-Gated Ion Channel Database Resource Report Resource Website 1+ mentions |
Ligand-Gated Ion Channel Database (RRID:SCR_002418) | LGICdb | data or information resource, database | Database providing access to information about transmembrane proteins that exist under different conformations, with three primary subfamilies: the cys-loop superfamily, the ATP gated channels superfamily, and the glutamate activated cationic channels superfamily. Due to the lack of evolutionary relationship, these three superfamilies are treated separately. It currently contains 554 entries of ligand-activated ion channel subunits. In this database one may find: the nucleic and proteic sequences of the subunits. Multiple sequence alignments can be generated, and some phylogenetic studies of the superfamilies are provided. Additionally, the atomic coordinates of subunits, or portion of subunits, are provided when available. Redundancy is kept to a minimum, i.e. one entry per gene. Each entry in the database has been manually constructed and checked by a researcher of the field in order to reduce the inaccuracies to a minimum. NOTE: This database is not actively maintained anymore. People should not consider it as an up-to-date trustable resource. For any new work, they should consider using alternative sources, such as UniProt, Ensembl, Protein Databank etc. | equilibrium, extracellular, gabaa, gated, gene, genetics, 3d model, alignment, anionic, atomic, atp, cationic, cellular, molecular, channel, compartment, computation, conformation, coordinate, cys-loop, glutamate, glycine, histamine, homologous, ion, ion channel, ligand, membrane, nicotinic, nucleic acid, phylogenetic, pore, portion, proteic, nucleic acid, protein, phylogeny, receptor, segment, sequence, sequence data, serotonin, subunit, superfamily, transmembrane |
is listed by: re3data.org has parent organization: European Bioinformatics Institute |
College of France; Paris; France ; Centre National de la Recherche Scientifique ; European Union ; Biotech and Biomed contracts ; French Ministry of Higher Education and Research ; Institut Pasteur |
PMID:16381861 PMID:11125117 |
nif-0000-00037, r3d100010796 | https://doi.org/10.17616/R3Q90D | SCR_002418 | LGIC Database | 2026-08-29 11:29:15 | 1 | |||||
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object-oriented Transcription Factors Database Resource Report Resource Website 1+ mentions |
object-oriented Transcription Factors Database (RRID:SCR_002435) | data or information resource, database | ooTFD (object-oriented Transcription Factors Database) is a successor to TFD, the original Transcription Factors Database. This database is aimed at capturing information regarding the polypeptide interactions which comprise and define the properties of transcription factors. ooTFD contains information about transcription factor binding sites, as well as composite relationships within transcription factors, which frequently occur as multisubunit proteins that form a complex interface to cellular processes outside the transcription machinery through protein-protein interactions. ooTFD contains information represented in TFD but also allows the representation of containment, composite, and interaction relationships between transcription factor polypeptides. It is designed to represent information about all transcription factors, both eukaryotic and prokaryotic, basal as well as regulatory factors, and multiprotein complexes as well as monomers. | eukaryotic, expression, factor, gene, basal, binding site, biochemical, biology, cellular, complex, genome, genomic, information, interaction, molecule, monomer, multisubunit, nucleotide sequences, transcriptional regulator sites, transcription factors, object, polypeptide, process, prokaryotic, property, protein, protein-protein interaction, regulatory, sequence, transcription | has parent organization: IFTI-Mirage | PMID:10592257 PMID:9847215 PMID:9399874 |
Free, Freely available | nif-0000-21303 | SCR_002435 | ooTFD | 2026-08-29 11:29:17 | 2 | |||||||
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ABS: A Database of Annotated Regulatory Binding Sites From Orthologous Promoters Resource Report Resource Website 1+ mentions |
ABS: A Database of Annotated Regulatory Binding Sites From Orthologous Promoters (RRID:SCR_002276) | ABS | data or information resource, database | Public database of known binding sites identified in promoters of orthologous vertebrate genes that have been manually curated from bibliography. We have annotated 650 experimental binding sites from 68 transcription factors and 100 orthologous target genes in human, mouse, rat or chicken genome sequences. Computational predictions and promoter alignment information are also provided for each entry. For each gene, TFBSs conserved in orthologous sequences from at least two different species must be available. Promoter sequences as well as the original GenBank or RefSeq entries are additionally supplied in case of future identification conflicts. The final TSS annotation has been refined using the database dbTSS. Up to this release, 500 bps upstream the annotated transcription start site (TSS) according to REFSEQ annotations have been always extracted to form the collection of promoter sequences from human, mouse, rat and chicken. For each regulatory site, the position, the motif and the sequence in which the site is present are available in a simple format. Cross-references to EntrezGene, PubMed and RefSeq are also provided for each annotation. Apart from the experimental promoter annotations, predictions by popular collections of weight matrices are also provided for each promoter sequence. In addition, global and local alignments and graphical dotplots are also available. | gene, alignment, annotation, binding, computational, genome, nucleotide, ortholog, prediction, promoter, sequence, target, transcription, transcriptional factor, binding site, promoter sequence, protein motif, benchmark, transcription factor binding site, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: IntegromeDB has parent organization: Center for Genomic Regulation; Barcelona; Spain |
European Union FP6 contract LSHG-CT-2003-503265 | PMID:16381947 | Acknowledgement requested, GNU General Public License, v2 | biotools:alggen, nif-0000-21006 | https://bio.tools/alggen | SCR_002276 | A database of Annotated regulatory Binding Sites from orthologous promoters | 2026-08-29 11:29:16 | 3 | ||||
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DrugBank Resource Report Resource Website 5000+ mentions |
DrugBank (RRID:SCR_002700) | DrugBank | data or information resource, database | Bioinformatics and cheminformatics database that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. | drug, target, pathway, structure, pharmacology, drug class, chemical, pharmaceutical, drug target, sequence, reaction, interaction, protein, proteome, blast, data analysis service, small molecule-protein, small molecule, clinical medicine, pharmacy, medicine, pharmaceutical biotechnology, cheminformatics, FASEB list |
is used by: NIF Data Federation is used by: Open PHACTS is used by: In vivo - In silico Metabolite Database is used by: GEROprotectors is listed by: OMICtools is listed by: re3data.org is related to: ConsensusPathDB is related to: PharmGKB Ontology is related to: Allen Institute Neurowiki is related to: Coremine Medical is related to: MalaCards is related to: PSICQUIC Registry is related to: DrugPort is related to: Integrated Manually Extracted Annotation has parent organization: University of Alberta; Alberta; Canada |
Genome Alberta ; Genome Canada ; GenomeQuest Inc. ; Canadian Institutes of Health Research |
PMID:16381955 PMID:21059682 PMID:18048412 |
Free, Freely available | nif-0000-00417, OMICS_01580, r3d100010544 | https://doi.org/10.17616/R3V60M | SCR_002700 | 2026-08-29 11:29:16 | 5839 | |||||
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Evolutionary Lineage Inferred from Structural Analysis Resource Report Resource Website 1+ mentions |
Evolutionary Lineage Inferred from Structural Analysis (RRID:SCR_002343) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. ELISA is an online database that combines functional annotation with structure and sequence homology modeling to place proteins into sequence-structure-function neighborhoods. The atomic unit of the database is a set of sequences and structural templates that those sequences encode. A graph that is built from the structural comparison of these templates is called PDUG (protein domain universe graph). It introduces a method of functional inference through a probabilistic calculation done on an arbitrary set of PDUG nodes. Further, all PDUG structures are mapped onto all fully sequenced proteomes allowing an easy interface for evolutionary analysis and research into comparative proteomics. ELISA is the first database with applicability to evolutionary structural genomics explicitly in mind. | evolutionary, function, functional, analysis, annotation, atomic unit, calculation, comparative, domain, genomic, homology, modeling, place, probabilistic, protein, protein domain and protein classification databases, proteome, proteomic, sequence, structural, structure, template | has parent organization: Boston University; Massachusetts; USA | PMID:12952559 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21141 | SCR_002343 | ELISA | 2026-08-29 11:29:23 | 1 | |||||||
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Database of Transcribed Sequences Resource Report Resource Website 10+ mentions |
Database of Transcribed Sequences (RRID:SCR_002334) | data or information resource, database | DoTS (Database Of Transcribed Sequences) is a human and mouse transcript index created from all publicly available transcript sequences. The input sequences are clustered and assembled to form the DoTS Consensus Transcripts that comprise the index. These transcripts are assigned stable identifiers of the form DT.123456 (and are often referred to as dots). The transcripts are in turn clustered to form putative DoTS Genes. These are assigned stable identifiers of the form DG.1234356. As of September 1, 2004, the DoTS annotation team has manually annotated 43,164 human and 78,054 mouse DoTS Transcripts (DTs), corresponding to 3,939 human and 7,752 mouse DoTS Genes (DGs). Use the manually annotated gene query to see the DoTS Transcripts that have been manually annotated. The focus of the DoTS project is integrating the various types of data (e.g., EST sequences, genomic sequence, expression data, functional annotation) in a structured manner which facilitates sophisticated queries that are otherwise not easy to perform. DoTS is built on the GUS Platform which includes a relational database that uses controlled vocabularies and ontologies to ensure that biologically meaningful queries can be posed in a uniform fashion. An easy way to start using the site is to search for DoTS Transcripts using an existing cDNA or mRNA sequence. Click on the BLAST tab at the top of the page and enter your sequence in the form provided. All the transcripts with significant sequence similarity to your query sequence will be displayed. Or use one of the provided queries to retrieve transcripts using a number of criteria. These queries are listed on the query page, which can also be reached by clicking on the tab marked query at the top of the page. Finally, the boolean query page allows these queries to be combined in a variety of ways. Sponsors: Funding provided by -NIH grant RO1-HG-01539-03 -DOE grant DE-FG02-00ER62893 | expression, functional, gene, annotation, biological, cdna, genomic, human, index, model organisms and comparative genomics databases, mouse, mrna, sequence, structure, transcribed, transcript | has parent organization: University of Pennsylvania; Philadelphia; USA | nif-0000-21125 | SCR_002334 | DoTs | 2026-08-29 11:29:17 | 15 | |||||||||
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MachiBase Resource Report Resource Website 1+ mentions |
MachiBase (RRID:SCR_003078) | MachiBase | data or information resource, database | Database for Drosophila melanogaster transcription profiling that allows users to search the Drosophilia genome, see sequence overviews, and look at various transcripts. The data were generated in conjunction with the recently developed high-throughput genome sequencer Illumina / Solexa using a newly developed 5'-end mRNA collection method. Approximately 25 million 25-27 nucleotide (nt) 5'-end mRNA tags from the embryos, larvae, young males, young females, old males, old females, and S2 (culture cell line) of D. melanogaster were collected. By arranging this vast amount of expression tag with other annotated data, they have built a one-stop service for Drosophila melanogaster transcription profiling. | transcription profiling, genome, sequence, transcript, mrna, promoter, gene expression, development, embryo, larvae, young, male, female, old, s2, culture, cell line, expressed sequence tag, solexa |
is listed by: OMICtools has parent organization: University of Tokyo; Tokyo; Japan |
PMID:18842623 | Free, Available for download, Freely available | OMICS_01878, nif-0000-03092 | SCR_003078 | 2026-08-29 11:29:26 | 1 | |||||||
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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 | 2026-08-29 11:29:28 | 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 | 2026-08-29 11:29:19 | 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 | 2026-08-29 11:29:20 | 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 | 2026-08-29 11:29:26 | 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 | 2026-08-29 11:29:18 | 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 | 2026-08-29 11:29:23 | 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 | 2026-08-29 11:29:31 | 216 | |||||||
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Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes Resource Report Resource Website 1+ mentions |
Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) | data or information resource, data set | Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients. | molecular, taxonomy, lung, carcinoma, cancer, death, mrna, expression, sequence, data, adenocarcinoma, neuroendocrine, gene, type ii pneumocyte, analysis, metastasis, integration, mrna expression profiling | has parent organization: Broad Institute | Lung cancer | NCI U01 CA84995 | PMID:11707567 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30292 | SCR_003010 | Cancer Genomics Publication | 2026-08-29 11:31:52 | 2 | |||||
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UniProt Chordata protein annotation program Resource Report Resource Website |
UniProt Chordata protein annotation program (RRID:SCR_007071) | Chordata protein annotation program | data or information resource, data set | Data set of manually annotated chordata-specific proteins as well as those that are widely conserved. The program keeps existing human entries up-to-date and broadens the manual annotation to other vertebrate species, especially model organisms, including great apes, cow, mouse, rat, chicken, zebrafish, as well as Xenopus laevis and Xenopus tropicalis. A draft of the complete human proteome is available in UniProtKB/Swiss-Prot and one of the current priorities of the Chordata protein annotation program is to improve the quality of human sequences provided. To this aim, they are updating sequences which show discrepancies with those predicted from the genome sequence. Dubious isoforms, sequences based on experimental artifacts and protein products derived from erroneous gene model predictions are also revisited. This work is in part done in collaboration with the Hinxton Sequence Forum (HSF), which allows active exchange between UniProt, HAVANA, Ensembl and HGNC groups, as well as with RefSeq database. UniProt is a member of the Consensus CDS project and thye are in the process of reviewing their records to support convergence towards a standard set of protein annotation. They also continuously update human entries with functional annotation, including novel structural, post-translational modification, interaction and enzymatic activity data. In order to identify candidates for re-annotation, they use, among others, information extraction tools such as the STRING database. In addition, they regularly add new sequence variants and maintain disease information. Indeed, this annotation program includes the Variation Annotation Program, the goal of which is to annotate all known human genetic diseases and disease-linked protein variants, as well as neutral polymorphisms. | chordata, protein, protein annotation, functional annotation, human, non-human vertebrate, xenopus laevis, xenopus tropicalis, zebrafish, protein sequence, protein sequencing, nucleotide sequence, sequence, annotation, sequence variant, disease, proteome, gold standard |
is related to: Human Proteomics Initiative is related to: UniProtKB has parent organization: UniProt |
nlx_143879 | SCR_007071 | 2026-08-29 11:31:53 | 0 | |||||||||
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CUDASW++ Resource Report Resource Website 1+ mentions |
CUDASW++ (RRID:SCR_008862) | CUDASW++ | software resource, source code | CUDASW++ is a bioinformatics software for Smith-Waterman protein database searches that takes advantage of the massively parallel CUDA architecture of NVIDIA Tesla GPUs to perform sequence searches 10x-50x faster than NCBI BLAST. In this algorithm, we deeply explore the SIMT (Single Instruction, Multiple Thread) and virtualized SIMD (Single Instruction, Multiple Data) abstractions to achieve fast speed. This algorithm has been fully tested on Tesla C1060, Tesla C2050, GeForce GTX 280 and GTX 295 graphics cards, and has been incorporated to NVIDIA Tesla Bio Workbench. * Operating System: Linux * Programming language: CUDA and C * Other requirements: CUDA SDK and Toolkits 2.0 or higher | smith-waterman, bioinformatics, protein, protein database, sequence, simt, simd, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: SourceForge has parent organization: Nanyang Technological University; Singapore; Singapore |
PMID:19416548 PMID:20370891 |
Open-source | nlx_149212, biotools:cudasw | https://bio.tools/cudasw | SCR_008862 | CUDASW++ (Smith Waterman) | 2026-08-29 11:32:11 | 5 | |||||
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VectorFriends Resource Report Resource Website |
VectorFriends (RRID:SCR_001230) | VectorFriends | commercial organization, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Sequence analysis software for molecular biologists. | cloning, isothermal assembly, pcr, primer design, data management, sequence analysis, sequence, analysis, primer, windows, mac os | is listed by: OMICtools | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02113 | SCR_001230 | 2026-08-29 11:31:46 | 0 | ||||||||
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Perlegen/NIEHS National Toxicology: Mouse Genome Resequencing Project Resource Report Resource Website 1+ mentions |
Perlegen/NIEHS National Toxicology: Mouse Genome Resequencing Project (RRID:SCR_000726) | Mouse Resequencing Project | data or information resource, data set | THIS RESOURCE IS NO LONGER IN SERVICE, Documented on August 12, 2014. Data, grouped by chromosome, available as flat files for download, of identified DNA polymorphisms (SNPs) in 15 commonly used strains of inbred laboratory mice. Perlegen's SNP, genotype (empirical and imputed), haplotype, trace, and PCR primer data has been compiled with NCBI Mouse Build information to produce data files for public use. Using high-density oligonuclueotide array technology, the study identified over 8 million SNPs and other genetic differences between these strains and the previously sequenced C57BL/6J reference strains (Phase 1). By leveraging data provided by Mark Daly's research team at the Broad Institute, genotypes were also predicted for 40 other common strains (Phase 2). Under an extension to the contract, Eleazar Eskin's group at UCLA has used this data to evaluate SNP associations with phenotypes from the Mouse Phenome Project (the Mouse Phenome Database), and to construct haplotype maps for a total of 94 inbred strains (the Mouse HapMap Project). SNP and genotype positions have been mapped from their original reference coordinates to NCBI Mouse Build 37 coordinates. Note that C57BL6/J strain was not selected for re-sequencing as this data would have been almost entirely redundant with the NCBI reference sequence. Since we did not actually determine genotypes for C57BL6/J, we did not submit genotypes for this strain to dbSNP. However, implicit genotypes for C57BL6/J can be obtained from the reference sequence at each SNP position (the reference allele is the first allele in the ALLELES column). The data is available for download in two different compressed file formats. The files are saved as both PC .zip files and Unix compressed .gz files. At this website, you can: * Learn more about the goals of the Perlegen mouse resequencing project. * Learn more about the array-based resequencing technology used in the project. * Download the SNPs, genotypes, and other data generated by the project, plus sequences of the long-range PCR primers used for SNP discovery. * Browse the mouse genome for SNPs. * View the haplotype blocks within the mouse genome. Mouse Genome Browser The Mouse Genome Browser can be used to visualize genes and the SNPs discovered in this study of genome-wide DNA variation in 15 commonly used, genetically diverse strains of inbred laboratory mice. The reference genome is the C57BL/6J strain NCBI build 37 mouse sequence. In addition to the experimentally-derived genotypes for the original 15 strains, the imputed genotypes for 40 additional inbred mouse strains can also be accessed. Mouse Haplotype Analysis The sequences of 16 commonly used, genetically diverse strains of inbred laboratory mice were analyzed to determine their haplotype structure. The Ancestry Browser shows which ancestral sequence each inbred strain most resembles, along with statistics on the pairwise similarity between the ancestral strains. The Haplotype Viewer shows the haplotype block boundaries and the pairwise similarity for all 56 strains: the 15 used for SNP discovery, the reference strain (C57BL/6J), and the 40 additional strains for which the genotypes were imputed. | genetic variation, chromosome, dna, genome, genotype, haplotype, oligonuclueotide, inbred mouse strain, polymorphism, sequence, single-nucleotide polymorphism, c57bl6/j | is related to: Mouse HapMap Imputation Genotype Resource | NIEHS ; HHSN29120045530C (N01-ES-45530) |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21746 | SCR_000726 | 2026-08-29 11:31:47 | 3 |
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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.
