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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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WebApollo: A Web-Based Sequence Annotation Editor for Community Annotation Resource Report Resource Website 10+ mentions |
WebApollo: A Web-Based Sequence Annotation Editor for Community Annotation (RRID:SCR_005321) | WebApollo | production service resource, service resource, software resource, source code | WebApollo is an extensible web-based sequence annotation editor for community annotation. No software download is required and the annotations are saved to a centralized database with real-time annotation updating. (The edit server mediates annotation changes made by multiple users.) The Web based client uses JBrowse, is fast and highly interactive. WebApollo accesses many types of genomic data including access to public data from UCSC, Ensembl, and GMOD Chado databases. Source code (BSD License) * Client source code: https://github.com/berkeleybop/jbrowse * Annotation editing engine: http://code.google.com/p/apollo-web * Data model and I/O layer: http://code.google.com/p/gbol * Trellis server code: http://code.google.com/p/genomancer | sequence, annotation, genome |
has parent organization: Lawrence Berkeley National Laboratory has parent organization: University of California at Berkeley; Berkeley; USA has parent organization: Georgetown University; Washington D.C.; USA |
nlx_144381 | SCR_005321 | WebApollo - A Web-Based Sequence Annotation Editor for Community Annotation | 2026-09-05 06:30:41 | 13 | ||||||||
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COILS: Prediction of Coiled Coil Regions in Proteins Resource Report Resource Website 100+ mentions |
COILS: Prediction of Coiled Coil Regions in Proteins (RRID:SCR_008440) | data processing software, software application, software resource | COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation. | software, prediction, database, sequence, coil, globular, protein, probability, bio.tools, FASEB list |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is listed by: OMICtools |
DOI:10.1126/science.252.5009.1162 | biotools:ncoils, OMICS_07850, nif-0000-30263 | https://bio.tools/ncoils, https://sources.debian.org/src/ncoils/ | https://sources.debian.org/src/ncoils/ | SCR_008440 | COILS Server | 2026-09-05 06:30:44 | 169 | ||||||
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Fastahack Resource Report Resource Website 1+ mentions |
Fastahack (RRID:SCR_016090) | software application, software resource | Software application for indexing and extracting sequences and subsequences from FASTA files. It will only generate indexes for FASTA files in which the sequences have self-consistent line lengths. | extract, quickly, subsequence, sequence, FASTA, files, generate, index |
is listed by: Debian is listed by: OMICtools |
Free, Available for download | OMICS_20516 | https://packages.debian.org/stretch/fastahack, https://sources.debian.org/src/fastahack/ | SCR_016090 | 2026-09-05 06:33:01 | 1 | ||||||||
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Fastaq Resource Report Resource Website 10+ mentions |
Fastaq (RRID:SCR_016091) | software resource, software toolkit | Software application for diverse collection of scripts that perform useful and common FASTA/FASTQ manipulation tasks, such as filtering, merging, splitting, sorting, trimming, search/replace, etc. Input and output files can be gzipped (format is automatically detected) and individual Fastaq commands can be piped together. | diverse, script, collect, filter, merge, split, sort, trim, search, replace, file, single-letter code, nucleotide, sequence, peptide, amino acid, text-based, format |
is listed by: Debian is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Free, Available for download, Freely available | OMICS_19987 | https://sources.debian.org/src/fastaq/ | SCR_016091 | 2026-09-05 06:33:01 | 25 | ||||||||
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Peptide Sequence Database Resource Report Resource Website |
Peptide Sequence Database (RRID:SCR_005764) | PepSeqDB | data or information resource, database | The Peptide Sequence Database contains putative peptide sequences from human, mouse, rat, and zebrafish. Compressed to eliminate redundancy, these are about 40 fold smaller than a brute force enumeration. Current and old releases are available for download. Each species'' peptide sequence database comprises peptide sequence data from releveant species specific UniGene and IPI clusters, plus all sequences from their consituent EST, mRNA and protein sequence databases, namely RefSeq proteins and mRNAs, UniProt''s SwissProt and TrEMBL, GenBank mRNA, ESTs, and high-throughput cDNAs, HInv-DB, VEGA, EMBL, IPI protein sequences, plus the enumeration of all combinations of UniProt sequence variants, Met loss PTM, and signal peptide cleavages. The README file contains some information about the non amino-acid symbols O (digest site corresponding to a protein N- or C-terminus) and J (no digest sequence join) used in these peptide sequence databases and information about how to configure various search engines to use them. Some search engines handle (very) long sequences badly and in some cases must be patched to use these peptide sequence databases. All search engines supported by the PepArML meta-search engine can (or can be patched to) successfully search these peptide sequence databases. | peptide, sequence | has parent organization: Edwards Lab | nlx_149230 | SCR_005764 | 2026-09-05 06:31:31 | 0 | |||||||||
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IndelFR - Indel Flanking Region Database Resource Report Resource Website 1+ mentions |
IndelFR - Indel Flanking Region Database (RRID:SCR_006050) | IndelFR | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Indel Flanking Region Database is an online resource for indels and the flanking regions of proteins in SCOP superfamilies, including amino acid sequences, lengths, locations, secondary structure constitutions, hydrophilicity / hydrophobicity, domain information, 3D structures and so on. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid insertion/deletions(indels), substitutions and the relationship between them. The indels were obtained through the pairwise alignment of homologous structures in SCOP superfamilies. The IndelFR database contains 2,925,017 indels with flanking regions extracted from 373,402 structural alignment pairs of 12,573 non-redundant domains from 1053 superfamilies. IndelFR has already been used for molecular evolution studies and may help to promote future functional studies of indels and their flanking regions. | indel, flanking region, protein, structural domain, domain, protein superfamily, protein structure, insertion/deletion, insertion, deletion, protein sequence, sequence, structure, protein domain, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: SCOP: Structural Classification of Proteins is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Shandong University; Shandong; China |
Independent Innovation Foundation of Shandong University 2009JC006; National Natural Science Foundation of China 30970092; National Natural Science Foundation of China 61070017; Scientific Research Reward Fund for excellent Young and Middle-Aged scientists in Shandong Province 20090451326 |
PMID:22127860 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:indelfr, nlx_151448 | https://bio.tools/indelfr | SCR_006050 | IndelFR: Indel Flanking Region Database, Indel Flanking Region Database | 2026-09-05 06:31:33 | 2 | ||||
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FunTree Resource Report Resource Website 1+ mentions |
FunTree (RRID:SCR_006014) | FunTree | data or information resource, database | FunTree provides a range of data resources to detect the evolution of enzyme function within distant structurally related clusters within domain super families as determined by CATH. To access the resource enter a specific CATH superfamily code or search for a structure / sequence / function (either via a EC code or KEGG ligand / reaction ID, PDB ID or UniProtKB ID). Or browse the resource via superfamily / function / structure / metabolites & reactions via the menu on the left panel. FunTree is a new resource that brings together sequence, structure, phylogenetic, chemical and mechanistic information for structurally defined enzyme superfamilies. Gathering together this range of data into a single resource allows the investigation of how novel enzyme functions have evolved within a structurally defined superfamily as well as providing a means to analyse trends across many superfamilies. This is done not only within the context of an enzyme''''s sequence and structure but also the relationships of their reactions. Developed in tandem with the CATH database, it currently comprises 276 superfamilies covering 1800 (70%) of sequence assigned enzyme reactions. Central to the resource are phylogenetic trees generated from structurally informed multiple sequence alignments using both domain structural alignments supplemented with domain sequences and whole sequence alignments based on commonality of multi-domain architectures. These trees are decorated with functional annotations such as metabolite similarity as well as annotations from manually curated resources such the catalytic site atlas and MACiE for enzyme mechanisms. | enzyme function, enzyme superfamily, enzyme, sequence, structure, phylogenetic, chemical, mechanistic, functional annotation, superfamily, gold standard, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: CATH: Protein Structure Classification is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: KEGG is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory; Heidelberg; Germany ; BBSRC ; Wellcome Trust 081989/Z/07/A; DOE contract DE-AC02-06CH11357 |
PMID:22006843 | Free | biotools:funtree, nlx_151402 | https://bio.tools/funtree | SCR_006014 | 2026-09-05 06:31:32 | 4 | |||||
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DBETH - Database for Bacterial ExoToxins for Humans Resource Report Resource Website 1+ mentions |
DBETH - Database for Bacterial ExoToxins for Humans (RRID:SCR_005908) | DBETH | data or information resource, database | Database of Bacterial ExoToxins for Human is a database of sequences, structures, interaction networks and analytical results for 229 exotoxins, from 26 different human pathogenic bacterial genus. All toxins are classified into 24 different Toxin classes. The aim of DBETH is to provide a comprehensive database for human pathogenic bacterial exotoxins. DBETH also provides a platform to its users to identify potential exotoxin like sequences through Homology based as well as Non-homology based methods. In homology based approach the users can identify potential exotoxin like sequences either running BLASTp against the toxin sequences or by running HMMER against toxin domains identified by DBETH from human pathogenic bacterial exotoxins. In Non-homology based part DBETH uses a machine learning approach to identify potential exotoxins (Toxin Prediction by Support Vector Machine based approach). | sequence, structure, interaction network, human, pathogen, bacterial genus, toxin, bacteria, exotoxin, homology, homolog, structure, sequence, domain, prediction, mechanism, activity, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: CSIR - Indian Institute of Chemical Biology; Kolkata; India |
Council of Scientific and Industrial Research; New Delhi; India | PMID:22102573 | nlx_149481, biotools:dbeth | https://bio.tools/dbeth | SCR_005908 | Database for Bacterial ExoToxins for Humans | 2026-09-05 06:31:32 | 2 | |||||
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FT Resource Report Resource Website |
FT (RRID:SCR_006228) | FT | analysis service resource, data analysis service, production service resource, service resource | A web program that can locate residue periodicities in either amino acid or DNA sequences. It is based on an algorithm of Dr. A.D. McLachlan (1977). NOTE: You must use a Java compatible browser to run the application. | residue, periodicity, sequence, amino acid, dna, algorithm |
is related to: DAM-Bio has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
nlx_151783 | SCR_006228 | FT - Study of Residue Periodicities in Sequences | 2026-09-05 06:31:34 | 0 | ||||||||
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Kabat Database of Sequences of Proteins of Immunological Interest Resource Report Resource Website 1+ mentions |
Kabat Database of Sequences of Proteins of Immunological Interest (RRID:SCR_006465) | data or information resource, database | The Kabat Database determines the combining site of antibodies based on the available amino acid sequences. The precise delineation of complementarity determining regions (CDR) of both light and heavy chains provides the first example of how properly aligned sequences can be used to derive structural and functional information of biological macromolecules. The Kabat database now includes nucleotide sequences, sequences of T cell receptors for antigens (TCR), major histocompatibility complex (MHC) class I and II molecules, and other proteins of immunological interest. The Kabat Database searching and analysis tools package is an ASP.NET web-based portal containing lookup tools, sequence matching tools, alignment tools, length distribution tools, positional correlation tools and much more. The searching and analysis tools are custom made for the aligned data sets contained in both the SQL Server and ASCII text flat file formats. The searching and analysis tools may be run on a single PC workstation or in a distributed environment. The analysis tools are written in ASP.NET and C# and are available in Visual Studio .NET 2003/2005/2008 formats. The Kabat Database was initially started in 1970 to determine the combining site of antibodies based on the available amino acid sequences at that time. Bence Jones proteins, mostly from human, were aligned, using the now-known Kabat numbering system, and a quantitative measure, variability, was calculated for every position. Three peaks, at positions 24-34, 50-56 and 89-97, were identified and proposed to form the complementarity determining regions (CDR) of light chains. Subsequently, antibody heavy chain amino acid sequences were also aligned using a different numbering system, since the locations of their CDRs (31-35B, 50-65 and 95-102) are different from those of the light chains. CDRL1 starts right after the first invariant Cys 23 of light chains, while CDRH1 is eight amino acid residues away from the first invariant Cys 22 of heavy chains. During the past 30 years, the Kabat database has grown to include nucleotide sequences, sequences of T cell receptors for antigens (TCR), major histocompatibility complex (MHC) class I and II molecules and other proteins of immunological interest. It has been used extensively by immunologists to derive useful structural and functional information from the primary sequences of these proteins. | functional, align, alignment, amino acid, antibody, antigen, biological, cdr, chain, class i, class ii, combining, complementarity, complex, delineation, heavy, histocompatibility, human, immunological, immunological database, light, macromolecule, mhc, molecule, nucleotide, position, protein, receptor, region, sequence, structural, t cell | has parent organization: Northwestern University; Illinois; USA | nif-0000-21233 | SCR_006465 | Kabat Database | 2026-09-05 06:31:35 | 2 | |||||||||
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NON-RED Resource Report Resource Website 1+ mentions |
NON-RED (RRID:SCR_006225) | NON-RED | analysis service resource, data analysis service, production service resource, service resource | A web tool to select biological sequences from a given set, with similarity / homology less than a user-defined level. This web-based application takes as input a set of N sequences and outputs a set of sequences of user-determined redundancy. Initially, the algorithm runs an all-against-all BLAST alignment on the input data set and creates an NxN matrix of pairwise distances defined by the similarity percentages. In the next step, the algorithm removes the sequence with the largest number of neighbors, causing that sequence not to be counted as a neighbor of any other sequence during the next iterations. It then reassesses the number of neighbors of each sequence and repeats the previous step until the sequences left over have no more neighbors. The user can specify the similarity (%) threshold and the minimum coverage length of the alignments. Sequences with a similarity below the threshold or a smaller coverage than the minimum length are not considered to be neighbors. | protein sequence, nucleotide, blast, algorithm, alignment, similarity, homology, sequence | has parent organization: University of Athens Biophysics and Bioinformatics Laboratory | nlx_151778 | SCR_006225 | NON-RED | 2026-09-05 06:31:34 | 1 | ||||||||
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RAP-DB Resource Report Resource Website 500+ mentions |
RAP-DB (RRID:SCR_006610) | RAP-DB | data or information resource, database | Database that provides the genome sequence assembly of the International Rice Genome Sequencing Project (IRGSP), manually curated annotation of the sequence, and other genomics information that could be useful for comprehensive understanding of the rice biology. RAP-DB contains clone positions, structures and functions of genes validated by cDNAs, RNA genes detected by massively parallel signature sequencing (MPSS) technology and sequence similarity, flanking sequences of mutant lines, transposable elements, etc. Other annotation data such as Gnomon can be displayed along with those of RAP for comparison. | genome sequence assembly, International Rice Genome Sequencing Project, manually curated annotation, sequence, genomics information, |
has parent organization: National Institute of Genetics; Shizuoka; Japan has parent organization: National Institute of Agrobiological Sciences; Ibaraki; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT NT05-3 42996 | PMID:23299411 PMID:18089549 |
Free, Freely available | SCR_015062, nif-0000-03385 | http://rapdb.lab.nig.ac.jp/ | SCR_006610 | Rice Annotation Project, Rice Annotation Project Database | 2026-09-05 06:31:36 | 837 | ||||
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waveTM Resource Report Resource Website 1+ mentions |
waveTM (RRID:SCR_006199) | waveTM | analysis service resource, data analysis service, production service resource, 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 | 2026-09-05 06:31:34 | 3 | |||||
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PRED-TMR Resource Report Resource Website 1+ mentions |
PRED-TMR (RRID:SCR_006203) | PRED-TMR | analysis service resource, data analysis service, production service resource, service resource | A web server that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The algorithm refines a standard hydrophobicity analysis with a detection of potential termini (edges, starts and ends) of transmembrane regions. This allows both to discard highly hydrophobic regions not delimited by clear start and end configurations and to confirm putative transmembrane segments not distinguishable by their hydrophobic composition. The accuracy obtained on a test set of 101 non homologous transmembranes proteins with reliable topologies compares well with that of other popular existing methods. Only a slight decrease in prediction accuracy was observed when the algorithm was applied to all transmembrane proteins of the SwissProt database (release 35). | predict, transmembrane segment, protein, algorithm, sequence, membrane protein, protein structure, transmembrane region, hydrophobicity analysis |
is related to: waveTM is related to: DAM-Bio has parent organization: University of Athens Biophysics and Bioinformatics Laboratory is parent organization of: PRED-TMR2 |
European Union ERBFMRXCT960019 | PMID:10360978 | nlx_151765 | SCR_006203 | PRED-TMR: A novel method for predicting transmembrane segment in proteins based on a statistical analysis of the SwissProt database | 2026-09-05 06:31:34 | 7 | ||||||
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Consensus CDS Resource Report Resource Website 100+ mentions |
Consensus CDS (RRID:SCR_006729) | CCDS | data or information resource, database | Database (anonymous FTP) resulting from a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations. Collaborators are EBI, NCBI, UCSC, WTSI and the initial results are also available from the participants'''' genome browser Web sites. In addition, CCDS identifiers are indicated on the relevant NCBI RefSeq and Entrez Gene records and in Map Viewer displays of RNA (RefSeq) and Gene annotations on the reference assembly. | human genome sequence, human protein, mouse genome sequence, mouse protein, protein coding region, gene, genome sequence, genome, sequence, gene annotation, protein, gold standard |
is listed by: OMICtools is related to: Entrez Gene is related to: HomoloGene is related to: MapViewer is related to: VEGA has parent organization: NCBI has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom has parent organization: University of California at Santa Cruz; California; USA |
PMID:24217909 PMID:22434842 PMID:19498102 |
The community can contribute to this resource, Acknowledgement requested | nif-0000-02645, OMICS_01535 | http://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi | SCR_006729 | CCDS Database, NCBI Consensus CDS protein set, NCBI CCDS Database | 2026-09-05 06:31:36 | 242 | |||||
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MyHits Resource Report Resource Website 10+ mentions |
MyHits (RRID:SCR_006757) | data or information resource, database | Database devoted to protein domains. It is also a collection of tools for the investigation of the relationships between protein sequences and motifs described on them. | protein, domain, motif, sequence, predictor, markov, model, gene, expression, mysql, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:17545200 | Free | nif-0000-02962, biotools:myhits | https://bio.tools/myhits | SCR_006757 | MyHit | 2026-09-05 06:31:36 | 41 | ||||||
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Rickettsia Genome Database Resource Report Resource Website 1+ mentions |
Rickettsia Genome Database (RRID:SCR_007102) | data or information resource, database, image | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Rickettsia are obligate intracellular bacteria living in arthropods. They occasionally cause diseases in humans. To understand their pathogenicity, physiologies and evolutionary mechanisms, RicBase is sequencing different species of Rickettsia. Up to now we have determined the genome sequences of R. conorii, R. felis, R. bellii, R. africae, and R. massiliae. The RicBase aims to organize the genomic data to assist followup studies of Rickettsia. This website contains information on R. conorii and R. prowazekii. A R. conorii and R. prowazekii comparative genome map is also available. Images of genome maps, dendrogram, and sequence alignment allow users to gain a visualization of the diagrams. | evolutionary, africae, alignment, arthropod, bacteria, bellii, conorii, dendrogram, disease, genome, genomic, human, intracellular, massiliae, mechanism, pathogenicity, physiology, prowazekii, rickettsia, sequence, specie, journal article, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20993 | SCR_007102 | RicBase | 2026-09-05 06:31:38 | 1 | |||||||||
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UniSTS Resource Report Resource Website 10+ mentions |
UniSTS (RRID:SCR_006843) | UniSTS | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database of sequence tagged sites (STSs) derived from STS-based maps and other experiments. STSs are defined by PCR primer pairs and are associated with additional information such as genomic position, genes, and sequences. Chromosome maps are labeled by name of the originating organism, the map title, total markers, total UniSTSs and links to view maps as well as research documents available through PubMed, another NCBI database. The search functions within UniSTS allow the user to search by gene marker, chromosome, gene symbol and gene description terms to locate markers on specified genes. A representation of the UniSTS datasets is available by ftp. NOTE: All data from this resource have been moved to the Probe database, http://www.ncbi.nlm.nih.gov/probe. You can retrieve all UniSTS records by searching the probe database using the search term unists(properties). (use brackets insead of parenthesis). Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). | marker, primer sequence, mapping, sequence tagged site, genomic position, gene, sequence, nucleotide, nucleotide sequence, chromosome, gold standard |
is listed by: re3data.org is related to: NCBI Probe has parent organization: NCBI |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03614 | SCR_006843 | UniSTS: Integrating Markers and Maps, NCBI UniSTS, Entrez UniSTS | 2026-09-05 06:31:36 | 41 | |||||||
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RNase P Database Resource Report Resource Website 1+ mentions |
RNase P Database (RRID:SCR_006680) | RNase P Database | data or information resource, database | Ribonuclease P is responsible for the 5''-maturation of tRNA precursors. Ribonuclease P is a ribonucleoprotein, and in bacteria (and some Archaea) the RNA subunit alone is catalytically active in vitro, i.e. it is a ribozyme. The Ribonuclease P Database is a compilation of ribonuclease P sequences, sequence alignments, secondary structures, three-dimensional models and accessory information. The database contains information on bacterial, archaeal, and eukaryotic RNase P. The RNase P and protein sequences are available from phylogentically-arranged lists, individual sequences, or aligned in GenBank format. The database also provides secondary structures and 3D models, as well as movies, still images, and other accessory information. | ribonuclease p, ribonucleoprotein, ribozyme, sequence, sequence alignment, secondary structure, 3-d model, rnase p rna | has parent organization: North Carolina State University; North Carolina; USA | Isis Phamaceuticals ; NIGMS GM52894 |
PMID:9847214 | nif-0000-03403 | SCR_006680 | The RNase P Database, Ribonuclease P Database | 2026-09-05 06:31:36 | 8 | ||||||
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Biomolecular Object Network Databank Resource Report Resource Website 10+ mentions |
Biomolecular Object Network Databank (RRID:SCR_007433) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.BOND, which requires registration of a free account, is a resource used to perform cross-database searches of available sequence, interaction, complex and pathway information. BOND integrates a range of component databases including GenBank and BIND, the Biomolecular Interaction Network Database. BOND contains 70+ million biological sequences, 33,000 structures, 38,000 GO terms, and over 200,000 human curated interactions contained in BIND, and is open access. BOND serves the interests of the developing global interactome effort encompassing the genomic, proteomic and metabolomic research communities. BOND is the first open access search resource to integrate sequence and interaction information. BOND integrates BLAST functionality, and contains a well-documented API. BOND also stores annotation links for sequences, including links to Genome Ontology descriptions, MedLine abstracts, taxon identifiers, associated structures, redundant sequences, sequence neighbors, conserved domains, data base cross-references, Online Mendalian Inheritance in Man identifiers, LocusLink identifiers and complete genomes. BIND on BOND The Biomolecular Interaction Network Database (BIND), a component database of BOND, is a collection of records documenting molecular interactions. The contents of BIND include high-throughput data submissions and hand-curated information gathered from the scientific literature. BIND is an interaction database with three classifications for molecular associations: molecules that associate with each other to form interactions, molecular complexes that are formed from one or more interaction(s) and pathways that are defined by a specific sequence of two or more interactions.Interactions A BIND record represents an interaction between two or more objects that is believed to occur in a living organism. A biological object can be a protein, DNA, RNA, ligand, molecular complex, gene, photon or an unclassified biological entity. BIND records are created for interactions which have been shown experimentally and published in at least one peer-reviewed journal. A record also references any papers with experimental evidence that support or dispute the associated interaction. Interactions are the basic units of BIND and can be linked together to form molecular complexes or pathways. The BIND interaction viewer is a tool to visualize and analyze molecular interactions, complexes and pathways. The BIND interaction viewer uses Ontoglyphs to display information about a protein via attributes such as molecular function, biological process and sub-cellular localization. Ontoglyphs allow to graphically and interactively explore interaction networks, by visualizing interactions in the context of 34 functional, 25 binding specificity and 24 sub-cellular localization Ontoglyphs categories. We will continue to provide an open access version of BOND, providing its subscribers with free, unlimited access to a core content set. But we are confident you will soon want to upgrade to BONDplus. | gene, genes, genome, annotation, binding specificity, biological process, complex, dna, genomes, genomic, human, interaction, interactome, ligand, metabolomic, molecular, molecular complex, molecular function, molecular interaction, mouse, ontoglyphs, ontology terms, pathway, photon, protein, protein-protein interactions, proteomic, rna, sequence, structure, sub-cellular localization, taxonomy, unclassified biological entity | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00571 | SCR_007433 | BOND | 2026-09-05 06:31:39 | 17 |
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If you are logged into dkNET 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.
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.
Email: info_at_ dknet.org
