miRNEST is a comprehensive collection of animal, plant and virus microRNA data. The database provides you with 9980 miRNA candidates from 420 animal and plant species predicted in Expressed Sequence Tags, predicted targets for plant candidates, RNA-seq reads mapped to candidates from 29 species, and external data from 12 databases that includes sequences, polymorphism, expression and regulation. In current version, miRNEST 1.0, it contains miRNA from 563 animals, plants and viruses plant species. ... [Information of the supplier]
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. [Source: http://nar.oxfordjournals.org/content/early/2011/11/15/nar.gkr1007.full] ... [Miscellaneous as indicated]
The greengenes web application provides access to the current and comprehensive 16S rRNA gene sequence alignment for browsing, blasting, probing, and downloading. The data and tools presented by greengenes can assist the researcher in choosing phylogenetically specific probes, interpreting microarray results, and aligning/annotating novel sequences. If you are an ARB user, you can use greengenes to keep your own local database current. ... [Information of the supplier]
Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs. ... [Information of the supplier]
The goal of the Nucleic Acid Database Project (NDB) is to assemble and distribute structural information about nucleic acids. The NDB was founded in 1992 by Helen M. Berman, Rutgers University, Wilma K. Olson, Rutgers University, and David Beveridge, Wesleyan University. In addition, Anke Gelblin, Tamas Demeny, S. -H. Hsieh, A.R. Srinivasan, and Bohdan Schneider were members of the original NDB project team. The NDB Project is funded by the National Science Foundation and the Department of Energy. The NDB maintains the mmCIF Web site. mmCIF (macromolecular Crystallographic Information File) is the IUCr-approved data representation for macromolecular structures. ... [Information of the supplier]
Welcome to the Znosko Lab RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database! This tool allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops. To utilize the search function of the database, please select "Search" at the top menu. If you have any questions, please check out our Wiki here or e-mail us via the Contact Us page. Also, please consider registering with the CoSSMos database if this is your first visit. This site functions best at resolutions of at least 1440x900 and is fully compatible with these and later versioned browsers: Internet Explorer 8, Firefox 3.6, Safari XX, and Google Chrome. ... [Information of the supplier]
Viral siRNA Database (VIRsiRNAdb) is a structured collection of experimentally validated siRNAs reported in the scientific literature targeting diverse genes of important human viruses. The curation efforts to date has concentrated mainly on viruses known to be associated with infectious diseases in humans. Currently the database provides experimental information of 1358 siRNAs, mined from relevant Pubmed artcles, which includes siRNA sequence, virus subtype, target gene, GenBank accession, design algorithim, cell type, and efficacy. Further, wherever available, extended information regarding alternative efficacy assays has also been provided. VIRsiRNAdb also allows the users to take advantage of useful tools like siRNAblast, siRNAmap and siTarAlign. As a result our database will become increasingly useful for developing siRNA design tools. Additionally this database will help the user to confirm whether a given siRNA sequence or similar one has already been reported or not and also what experimental conditions were used and which genomic segments are more indispensable for different human viruses. ... [Information of the supplier]
SpliceDisease is a database that collected and curated experimentally supported data of RNA Splicing mutation and disease. The RNA Splicing mutations include cis-acting mutations that disrupt splicing and trans-acting mutations that affecting RNA-dependent functions that cause disease. Information such as EntrezGeneID, gene genomic sequence, mutation (nucleotide substitutions, deletions and insertions), mutation location within the gene, organism, detailed description of the splicing mutation and references are also given. ... [Information of the supplier]
In bacteria, small (~30-500 nt) non-coding RNAs (sRNAs) are the most abundant class of post-transcriptional regulators that are involved in diverse processes including quorum sensing, stress response, virulence and carbon metabolism. Based on the target molecules, sRNAs can be divided into two major groups: (i) mRNA-binding antisense sRNAs and (ii) protein-binding sRNAs. The antisense RNAs can further be categorized as cis-encoded antisense sRNAs, which are completely complementary to their targets, and trans-encoded antisense sRNAs, which are only partially complementary to their targets. In any case, the interaction between antisense RNAs and target mRNAs could direct a plethora of biological regulatory circuits. Recent developments in high-throughput techniques, such as genomic tiling arrays and RNA-Seq have provided invaluable insights into the detection and characterization of bacterial sRNAs. However, a comprehensive bacterial sRNA database is not yet available, especially for integrating and analyzing high-throughput sequencing data. Here, we have designed and constructed BSRD (Bacterial Small regulatory RNA Database) which hosts sRNAs collected from over 783 bacterial species and 957 strains. ... [Information of the supplier]
LncBase hosts elaborated information for, both predicted and experimentally verified, miRNA-lncRNA interactions. The database consists of two distinct modules. The Experimental Module contains detailed information for more than 5,000 interactions, between 2,958 lncRNAs and 120 miRNAs, ranging from miRNA and lncRNA related facts to information specific to their interaction, the experimental validation methodologies and their outcomes. The Prediction Module, which is based on the latest version of DIANA-microT target prediction algorithm (DIANA-microT-CDS), contains detailed information for more than 10 million interactions, between 56,097 lncRNAs and 3,078 miRNAs, ranging from miRNA and lncRNA related details to specific information regarding their interaction sites, graphical representation of their binding and the predicted score. This module exhibits a unique feature for searching the database. Users are able to add genomic locations to their queries thus browsing every miRNA-lncRNA interaction that has at least one MRE located inside the queried locus. ... [Information of the supplier]