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http://urgi.versailles.inra.fr/OryzaTagLine/

Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Génoplante rice insertion line library. To display the sequence information (Flanking Sequence Tags) resulting from the molecular characterization of the mutagen insertion sites in the collection, Oryza Tag Line is linked to OryGenesDB a GGB-derived interface or FLAGDB++ a Java based interface. Aside from generic data ( production record and seed stock ) Oryza Tag Line includes textual and pictorial information resulting from the following observations: (i.) GUS/GFP expression assays conducted on the primary transformants (T0) and/or T1 progenies (ii.) morpho-physiological alterations detected during the growth of the T1 progenies either in phytotron -up to the 5-6 leaf stage- or under agronomical conditions in the field (collaboration with CIAT, Cali, Colombia).

Proper citation: Oryza Tag Line (RRID:SCR_013254) Copy   

•   Source: SciCrunch Registry

http://plantsp.sdsc.edu

A database of plant protein kinases and phosphatases as well as genomic information for these enzymes. Because protein kinases and phosphatases control so many processes in plants, and occur in networks that unite different cellular processes, a genome wide approach is needed to make significant advances in discovering the roles of these enzymes in the regulation of plant function.

Proper citation: PlantsP (RRID:SCR_013256) Copy   

•   Source: SciCrunch Registry

http://genome.imim.es/cgi-bin/u12db/u12db.cgi

This is a searchable database of U12-type introns. U12-type introns are spliced by the U12-dependent spliceosome and are present in the genomes of many higher eukaryotic lineages including plants, chordates and some invertebrates. Investigations into the evolution and mechanism of U12-depending splicing would be facilitated by access to a catalog of such introns. However, due to their relatively recent discovery and a systematic bias against recognition of non-canonical splice sites in general, the introns defined by U12-type splice sites are under-represented in genome annotations. Such under-representation compounds the already difficult problem of determining gene structures. It also impedes attempts to study these introns genome-wide or phylum-wide. The resource described here, the U12 Intron Database (U12DB), aims to catalog the U12 introns of completely sequenced eukaryotic genomes and associate orthologous introns with each other.Two pathways for the removal of eukaryotic spliceosomal introns exist: a major pathway that is dependent on the main U2 snRNA-containing spliceosome and a minor pathway that is dependent on the low abundance U12 snRNA-containing spliceosome. The two spliceosomes share only one snRNA, U5, but have many of the same protein components in common. They are distinguished mainly by the splice signal sequences in the pre-mRNA to which they bind. U12 consensus sequences for the donor site, RTATCCTTT, and branch point, TTCCTTRAY, are highly conserved and distinct from the U2 consensi. The two spliceosomes also differ in the order of spliceosomal assembly. U11 and U12 form a dimer which then recognizes the donor site and branch point simultaneously, whereas U1 and U2 recognize these sites independently before associating.Computational scans for U12 introns have previously been performed for human (Levine and Durbin, 2001) and Arabidopsis (Zhu and Brendel, 2003). Both scans used similar methodology, essentially predicting introns and confirming them using alignment to expressed sequence. We extended this approach to 20 genomes using spliced alignment of sequence flanking known introns or transcript-confirmed intron predictions to the genomic sequence of orthologous genes. Details can be found in forthcoming article in the Nucleic Acids Research database issue.

Proper citation: U12DB: The U12 Intron Database (RRID:SCR_013410) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/umwdb/

Stride interval fluctuations were studied in ten young, healthy men. Participants had no history of any neuromuscular, respiratory or cardiovascular disorders, and were taking no medications. Mean age was 21.7 years (range: 18-29 years). Height was 1.77 ���� 0.08 meters (mean ���� S.D.) and weight was 71.8 ���� 10.7 kg. All subjects provided informed written consent. Subjects walked continuously on level ground around an obstacle free, long (either 225 or 400 meters), approximately oval path and the stride interval was measured using ultra-thin, force sensitive switches taped inside one shoe. For more details, please see the accompanying publication. Each subject was given an arbitrary id (si01, si02, ... si10). For each subject, there are six data files: normal (.norm), slow (.slow) and fast (.fast) walking for 1 hour each as well as walking in time to a metronome at normal (.metnrm), slow (.metslw) and fast (.metfst) paces.

Proper citation: Long-term Recordings of Gait Dynamics: Unconstrained and Metronomic Walking (RRID:SCR_013258) Copy   

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http://www.ncbi.nlm.nih.gov/Taxonomy/Utils/wprintgc.cgi

Genetic Codes is a summary resource of the taxonomy of each record and assignment of the correct genetic code for every entry in the GenBank database. GenBank format by historical convention displays mRNA sequences using the DNA alphabet. Thus, for the convenience of people reading GenBank records, the genetic code tables shown here use T instead of U. The following genetic codes are described here: The Standard Code The Vertebrate Mitochondrial Code The Yeast Mitochondrial Code The Mold, Protozoan, and Coelenterate Mitochondrial Code and the Mycoplasma/Spiroplasma Code The Invertebrate Mitochondrial Code The Ciliate, Dasycladacean and Hexamita Nuclear Code The Echinoderm and Flatworm Mitochondrial Code The Euplotid Nuclear Code The Bacterial, Archaeal and Plant Plastid Code The Alternative Yeast Nuclear Code The Ascidian Mitochondrial Code The Alternative Flatworm Mitochondrial Code Blepharisma Nuclear Code Chlorophycean Mitochondrial Code Trematode Mitochondrial Code Scenedesmus Obliquus Mitochondrial Code Thraustochytrium Mitochondrial Code

Proper citation: Genetic Codes (RRID:SCR_013092) Copy   

•   Source: SciCrunch Registry

http://mordred.bioc.cam.ac.uk/bipa

A database for protein-nucleic acid interaction that provides various features of protein-nucleic acid interfaces.
There are 2333 protein-nucleic acid PDB complexes, 9547 SCOP domains, and 9633 domain-nucleic acid interfaces in BIPA. BIPA also provides a multiple structural alignment of representative structures at the SCOP family level using the program SALIGN, and the structural alignments were further annotated using the program JOY to detect local environments of amino acids.

Proper citation: Biological Interaction database for Protein-nucleic Acid (RRID:SCR_013371) Copy   

•   Source: SciCrunch Registry

http://yayoi.kansai.jaea.go.jp/colisnp

ColiSNP is a website made up of two databases focused on SNPS. The first database is a database of Single Nucleotide Polymorphism (SNP) located in the protein coding region, and the second is a database of Single Nucleotide Polymorphism (SNP) located in the gene regulation region. The database of Single Nucleotide Polymorphism (SNP) located in the protein coding region is a database of Single Nucleotide Polymorphism (SNP) mapped on protein structure. Users can search the data of SNP on this web site and display the structure of protein with SNP by RasMol. The database of Single Nucleotide Polymorphism (SNP) located in the gene regulation region is a database of Single Nucleotide Polymorphism (SNP) mapped on regulation region. Users can search genes mapped snp on regulation region.

Proper citation: ColiSNP: Database of Single Nucleotide Polymorphism (RRID:SCR_013100) Copy   

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http://www.abrn.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 31,2023.

Proper citation: Australian Prostate Cancer Tissue Bank (RRID:SCR_013221) Copy   

•   Source: SciCrunch Registry

http://cdna01.dna.affrc.go.jp/PIPE

A unification tool which dynamically collects and compiles data from scientific databases in National Institute of Agrobiological Sciences (NIAS), and thereby attempts to encapsulate the genetics and molecular biology of genes from the genomes of Oryza sativa into easy to navigate. The mission of Rice PIPELINE is to provide a unique scientific resource of rice that pools publicly available data commonly sought after for any clone sequence, clone name, GenBank accession number, or keyword.

Proper citation: Rice Pipeline (RRID:SCR_013344) Copy   

•   Source: SciCrunch Registry

http://bioinf.uta.fi/BTKbase/

A mutation registry for X-linked agammaglobulinemia (XLA). BTKbase lists mutation entries of 1,111 patients from 973 unrelated families showing 602 unique molecular events. Agammaglobulinemia is characterized by failure to produce mature B lymphocyte cells and is associated with a failure of Ig heavy chain rearrangement. Two thirds of cases are familial, and one third of cases are believed to arise from new mutations. Mutations of the BTK gene are found in approximately 80% of patients with agammaglobulinemia. The localization of the mutations on the gene and protein for BTK can be analyzed by clicking sequences on the web pages. It includes a mutation browser, which gives users access to mutations in Bruton tyrosine kinase (BTK) protein sequences, and XLA fact file, and forms for users to submit mutation to the dataset.

Proper citation: BTKbase (RRID:SCR_013101) Copy   

•   Source: SciCrunch Registry

http://dorina.mdc-berlin.de/rbp_browser/dorina.html

In animals, RNA binding proteins (RBPs) and microRNAs (miRNAs) post-transcriptionally regulate the expression of virtually all genes by binding to RNA. Recent advances in experimental and computational methods facilitate transcriptome-wide mapping of these interactions. It is thought that the combinatorial action of RBPs and miRNAs on target mRNAs form a post-transcriptional regulatory code. We provide a database that supports the quest for deciphering this regulatory code. Within doRiNA, we are systematically curating, storing and integrating binding site data for RBPs and miRNAs. Users are free to take a target (mRNA) or regulator (RBP and/or miRNA) centric view on the data. We have implemented a database framework with short query response times for complex searches (e.g. asking for all targets of a particular combination of regulators). All search results can be browsed, inspected and analyzed in conjunction with a huge selection of other genome-wide data, because our database is directly linked to a local copy of the UCSC genome browser. At the time of writing, doRiNA encompasses RBP data for the human, mouse and worm genomes. For computational miRNA target site predictions, we provide an update of PicTar predictions.

Proper citation: doRiNA (RRID:SCR_013222) Copy   

•   Source: SciCrunch Registry

http://zope.bioinfo.cnio.es/plan2l/plan2l.html

A web-based online search system that integrates text mining and information extraction techniques to access systematically information useful for analyzing genetic, cellular and molecular aspects of the plant model organism Arabidopsis thaliana. The system facilitates a more efficient retrieval of information relevant to heterogeneous biological topics, from implications in biological relationships at the level of protein interactions and gene regulation, to sub-cellular locations of gene products and associations to cellular and developmental processes, i.e. cell cycle, flowering, root, leaf and seed development. Beyond single entities, also predefined pairs of entities can be provided as queries for which literature-derived relations together with textual evidences are returned.

Proper citation: PLAN2L (RRID:SCR_013346) Copy   

•   Source: SciCrunch Registry

http://www.gallartinternet.com/mai/

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 13, 2016. A searchable biotechnology database e-books with information on more than 9000 monoclonal antibodies. This database has antibodies produced for the diagnosis and therapy of human cancer, Alzheimer's disease, AIDS, and other diseases as well as for biomarker and proteomics research. Information such as antibody name, species, type, characteristics, antigen characteristics, and developer or distributor of antibody as well as mentions in journals, patents, abstracts and reports up until 2012 are included.

Proper citation: Monoclonal Antibody Index (RRID:SCR_013227) Copy   

•   Source: SciCrunch Registry

http://orygenesdb.cirad.fr/

The Oryza sativa database displays sequence information resulting from the research of the Centre de cooperation internationale en recherche agronomique pour le developpement. It also includes related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data, etc.). Genome Browser (Gbrowse), a Web-based application for displaying genomic annotations and other features, is the core of our database. The reference annotation layer consists in the 12 rice pseudomolecules released by the TIGR (Version 5.0, January 2007). All the data are superposed as annotations layers and positioned with respect to these pseudomolecules. We developed a set of tools around GBrowse to retrieve as exhaustively as possible information related to queries with several starting points. These tools allow a molecular geneticist to readily find insertion lines (T-DNA, Tos17, Ds) in genes of interest and to retrieve all the associated annotations related to these sequences.

Proper citation: OryGenesDB (RRID:SCR_013226) Copy   

•   Source: SciCrunch Registry

http://agem.cnb.csic.es/VisualOmics/aGEM/

Database platform of an integrated view of eight databases (mouse gene expression resources: EMAGE, GXD, GENSAT, BioGPS, ABA, EUREXPRESS; human gene expression databases: HUDSEN, BioGPS and Human Protein Atlas) that allows the experimentalist to retrieve relevant statistical information relating gene expression, anatomical structure (space) and developmental stage (time). Moreover, general biological information from databases such as KEGG, OMIM and MTB is integrated too. It can be queried using gene and anatomical structure. Output information is presented in a friendly format, allowing the user to display expression maps and correlation matrices for a gene or structure during development. An in-depth study of a specific developmental stage is also possible using heatmaps that relate gene expression with anatomical components. This is a powerful tool in the gene expression field that makes easy the access to information related to the anatomical pattern of gene expression in human and mouse, so that it can complement many functional genomics studies. The platform allows the integration of gene expression data with spatial-temporal anatomic data by means of an intuitive and user friendly display., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: aGEM (RRID:SCR_013349) Copy   

•   Source: SciCrunch Registry

http://snp.ims.u-tokyo.ac.jp/

JSNP is a database of Japanese Single Nucleotide Polymorphisms. It includes BLAST capability, keyword search, mapping information, and other tools that allow users to gather information on SNP's. SNPs are the most common form of DNA sequence variation. They are useful polymorphic markers to investigate genes susceptible to diseases or those related to drug responsiveness. Furthermore, a small subset of SNPs directly influences to the quality and/or quantity of the gene product, and increase a risk to certain diseases and to severe side effect by drugs. Through a discovery of a large number of SNPs, we would like to contribute to identification of disease-related genes and also to establish a diagnostic method to avoid drug side-effect.

Proper citation: Japanese Single Nucleotide Polymorphisms (RRID:SCR_013076) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/slpdb/

MIT-BIH Polysomnographic Database is a collection of recordings of multiple physiologic signals during sleep. Subjects were monitored in Boston''s Beth Israel Hospital Sleep Laboratory for evaluation of chronic obstructive sleep apnea syndrome, and to test the effects of constant positive airway pressure (CPAP), a standard therapeutic intervention that usually prevents or substantially reduces airway obstruction in these subjects. The database contains over 80 hours'' worth of four-, six-, and seven-channel polysomnographic recordings, each with an ECG signal annotated beat-by-beat, and EEG and respiration signals annotated with respect to sleep stages and apnea

Proper citation: MIT-BIH polysomnographic (RRID:SCR_013078) Copy   

•   Source: SciCrunch Registry

http://www.deathdomain.org/

A manually curated database of protein-protein interactions for Death Domain Superfamily. The Death Domain Database provides a detailed summary of PPI data, which fits into 3 categories: interaction, characterization, and functional role. Users can find in-depth information specified in the literature on relevant analytical methods, structural information. The DD superfamily currently comprises four subfamilies: * Death domain (DD) subfamily * Death effector domain (DED) subfamily * Caspase recruitment domain (CARD) subfamily * Pyrin domain (PYD) subfamily

Proper citation: Death Domain database (RRID:SCR_013231) Copy   

•   Source: SciCrunch Registry

http://flytrap.med.yale.edu/

The FlyTrap database presents the current results of large scale protein trapping screens that provide both information on which cells express each tagged gene, and subcellular localization of GFP-tagged proteins. Expression is under the control of endogenous promoter and enhancer elements, allowing for visualization of normal expression patterns. Drosophila proteins tagged with Green Fluorescent Protein (GFP) were created by insertion into genes of an artificial exon encoding GFP flanked by splice acceptor (SA) and splice donor (SD) sequences so that expression of GFP relies on splicing into mature mRNAs and in-frame fusion.

Proper citation: FlyTrap- GFP Protein Trap Database (RRID:SCR_013354) Copy   

•   Source: SciCrunch Registry

http://www.collectf.org/browse/home/

A database of experimentally-validate transcription factor binding sites (TFBS) in the Bacteria domain. CollecTF places special emphasis on providing a curation process that captures the experimental support for sites as reported by authors in peer-reviewed publications. Reported binding sites are mapped to NCBI RefSeq complete genome records. The database can be browsed by transcription factor families, NCBI taxonomy or experimental support, or through customized searches integrating these three elements.

Proper citation: CollecTF (RRID:SCR_014405) Copy   

•   Source: SciCrunch Registry