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Biomedical technology research center that (1) exploits the budding yeast Saccharomyces cerevisiae to develop novel technologies for investigating and characterizing protein function and protein structure (2) facilitates research and extension of new technologies through collaboration, and (3) actively disseminates data and technology to the research community. Through collaboration, the YRC freely provides resources and expertise in six core technology areas: Protein Tandem Mass Spectrometry, Protein Sequence-Function Relationships, Quantitative Phenotyping, Protein Structure Prediction and Design, Fluorescence Microscopy, Computational Biology.
A database for human SNPs (single nucleotide polymorphisms) that result in PTCs (premature termination codons) and trigger nonsense-mediated mRNA decay (NMD). The SNP2NMD interfaces provide extensive genetic information on and graphical views of the queried SNP, gene, and disease terms.
SNP at Ethnos is a catalog of human SNPs and genes that contain human ethnic variation. The database contains the following results for detecting natural selection and population difference: * Neareast Shrunken Centroid Method Score for detecting ethnic difference * Fst * Hudson, Kreitman and Aguade (HKA) test (1987) * Tajima''''s D test (1989) * Fu and Li D test (1993) It also contains copious links to dbSNP, Entrez Gene, GeneCards, OMIM, HGMD, International HapMap SNP at domain, and Haplotter (EHH). You can search by entering a gene symbol or an rs number in the text box at Data Search page. Search results provide above selection analysis data, rs lists corresponding a searched gene, and a genome viewer which contains functional annotation. The data underlying these analyses are from the Phase I HapMap Project.
This is a database of human C/D box and H/ACA modification guide RNAs. Information on a particular snoRNA can be accessed by three ways: 1- On the Search page, just type the name of the snoRNA (for example ACA17) in the Id window. 2- The Find guide RNA contains the sequences of the human ribosomal rRNAs 28S, 18S and 5.8S, and of the snRNAs U1, U2, U4, U5 and U6, with the positions of modified (2''O-ribose methylated or pseudo-uridinylated) nucleotides, and the identity of the corresponding modification guide RNAs. You can click on the name of the relevant snoRNA. 3- By utilizing the link to the UCSC Human Genome Browser.
A curated database for small nucleolar RNAs and small cajal body-specific RNAs. It presents sno/scaRNA-associated genetic and functional data and provides access to several other database sources via web-accessible search interfaces. Consisting of 1979 sno/scaRNA records obtained from 85 organisms, sno/scaRNAbase is a combination of systematic literature curation and annotation effort. small nucleolar RNA, small cajal body-specific RNA
An object-oriented database of domain-domain interactions observed in structural data. SNAPPI-DB is a useful resource for any analysis of structures but has been opitmised for analysis on domain-domain interactions and domain-ligand interactions. The database has already been employed for 3 studies on the properties of domain-domain interactions and is currently being employed to train a protein-protein interaction predictor and a functional residue predictor. SNAPPI-DB has several features which are not available in other databases, including links to the MSD, speed, being object oriented, storage of multiple domain definitions, and storage of Protein Quaternary Structures (PQS).
A sequence analysis tool providing a simple but detailed analysis of human genes and their variations. For each gene, a gene-gene relationship network can be generated based on protein-protein interaction data, metabolic pathway connections and extended through phylogenetic relations. Snap provides tools for designing sequence primers and evaluating RNA splicing effects of single SNPs - known from the databases or defined by you. Primers can be designed for the amplification or sequencing of cDNA, genomic DNA, introns only or exons only., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
A free software tool to identify length variation of microsatellites from short sequence reads.
A database that integrates all available data associated with the planarian genome, including predicted and annotated genes, ESTs, protein homologies, gene expression patterns and RNAi phenotypes. It is GMOD compliant. The planarian Schmidtea mediterranea is rapidly emerging as a key model organism for the study of regeneration, tissue homeostasis and stem cell biology. Thus, SmedGD features a genome browser, BLAST capability, and other search options in order to facilitate the advancement of scientific knowledge of this organism.<
The SKY/M-FISH and CGH databases provide a public platform for investigators to share and compare their molecular cytogenetic data. The database is open to everyone and all users can view an individual investigator's public data or compare public cases from different investigators. Those wishing to contribute their own data must register and can choose to keep their data private for a period not to exceed two years. Spectral Karyotyping (SKY), Multiplex Fluorescence In Situ Hybridization (M-FISH) and Comparative Genomic Hybridization (CGH) are complementary fluorescent molecular cytogenetic techniques. SKY/M-FISH permits the simultaneous visualization of each human or mouse chromosome in a different color, facilitating the identification of chromosomal aberrations. CGH utilizes the hybridization of differentially labeled tumor and reference DNA to generate a map of DNA copy number changes in tumor genomes.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of known ligand binding sites within the PDB which is navigable by PDB identifier or ligand 3 letter code e.g. NAD. Each binding site has a frequently updated register of structurally similar binding sites sharing atomic similarity detected by geometric hashing. Multiple alignments, structural superpositions and links to other structural databases are also available enabling further analysis. The rapid expansion of structural information for protein-ligand binding sites is potentially an important source of information in structure-based drug design and in understanding ligand cross reactivity and toxicity. We have developed a large database of ligand binding sites extracted automatically from the Protein Data Bank. This has been combined with a method for calculating binding site similarity based on geometric hashing to create a relational database for the retrieval of site similarity and binding site superposition. It contains an all-against-all comparison of binding sites and holds known protein-ligand binding sites, which are made accessible to data mining. Here we demonstrate its utility in two structure-based applications: in determining site similarity and in aiding the derivation of a receptor-based pharmacophore model.
Data analysis service to predict the functional consequences of known and unknown variants.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A collection of manually curated protein structural alignments and their interrelationships. Each multiple alignment within the SISYPHUS database consists of structurally similar regions common to a group of proteins. These regions range from oligomeric biological units, or individual domains to fragments of different size representing either internal structural repeats or motifs common to structurally distinct proteins. The SISYPHUS multiple alignments are displayed with SPICE, a browser that provides an integrated view of protein sequences, structures and their annotations.
This is a site with links to several siRNA services, including siRNA base sequence searches, specificity searches, known siRNA molecule searches, and target sequences. One of the sites, called siSVM, allows users to predict efficacy of siRNAs given their base sequence using features derived from the siRNA sequence. siSVM is designed to allow common methods of siRNA design to be included in the search. This includes motif rules,energy conditions and specificity searching. The second site it links to, siRNA specificity prediction, allows users to perform a specificity search for siRNAs to avoid off-target effects. SpecificityServer is designed to help you identify potential non-specific matches to your siRNA. It incorporates the latest information about non-specific matches (sequence-specific only). The third site it links to, siRNAdb, is a database of known siRNA molecules. It provides a list of sirnaID, target, geneID, geneAcc, TargetStart, and targetEnd.Category: RNA sequence databases
On this site, you can search siRNA records, design siRNAs, or submit siRNA records resulting from your own study (requires register/login). Small interfering RNAs (siRNAs) are a class of 20-25 nucleotide-long double-stranded RNAs, and they are widely used as gene knock-down tool in molecular genetics, functional genomics, and drug discovery studies. However, despite numerous efforts, the design of potent siRNA remains inadequate. Design rules resulting from different studies often disagree with each other, and are often unsatisfactory. Typically, only about 75-80% siRNAs designed based on current rules result in >50% knock-down efficacy. Observing these difficulties, we have established this database of experimentally validated mammalian siRNAs with efficacy ratings. As of August 18, 2008, 17,192 records of experimentally validated siRNAs, targeting 5,086 genes, originated from 6,122 independent studies are hosted in siRecords.
It provides a database based on a pre-computed similarity matrix covering the similarity space formed by >4 million amino acid sequences from public databases and completely sequenced genomes. The database is capable of handling very large datasets and is updated incrementally. For sequence similarity searches and pairwise alignments, we implemented a grid-enabled software system, which is based on FASTA heuristics and the Smith Waterman algorithm. SimpleSIMAP and AdvancedSIMAP retrieve homologs for given protein sequences that need to be contained in the SIMAP database. While SimpleSIMAP provides only selected parameters and preconfigured search spaces, the AdvancedSIMAP allows the user to specify search space, filtering and sorting parameters in a flexible manner. Both types of queries result in lists of homologs that are linked in turn to their homologs. So the web interfaces allow users to explore quickly and interactively the protein world by homology. Sponsors: SIMAP is supported by the Department of Genome Oriented Bioinformatics of the Technische Universitt Mnchen and the Institute for Bioinformatics of the GSF-National Research Center for Environment and Health.
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 20,2019.A database of integrated genome resources for the silkworm, Bombyx mori. This database provides access to not only genomic data including functional annotation of genes, gene products and chromosomal mapping, but also extensive biological information such as microarray expression data, ESTs and corresponding references. SilkDB will be useful for the silkworm research community as well as comparative genomics. Recently, an international collaboration has been launched to assemble a complete silkworm genome sequence, which is based on the 6� and 3� draft genome sequences created by Chinese group and Japanese group in 2004 (Mita et al., 2004; Xia et al., 2004), respectively. The genome assembly quality has been greatly improved. Base on a high density SNP genetic map, over 80% of genome sequence could be mapped on 28 chromosomes of the silkworm. The first version of SilkDB was released in 2004. Since that time, the silkworm has become a focus in insect research community and the study of silkworm has been greatly accelerated. Now, we are happy to announce the release of a new version of SilkDB, which updated all of the data, added new information of genome sequence and genes, and provides new tools to facilitate use of the genome database.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A database that provides access to data from several gene expression profile analysis results of smokers and non-smokers. In the experiment, researchers first obtained brushings from intra-pulmonary airways (the right upper lobe carina) and scrapings from the buccal mucosa, from normal smoking and non-smoking volunteers. RNA was isolated from these samples and gene expression profiles from intra-pulmonary airway epithelial cells were analyzed using Affymetrix U133A human gene expression arrays. All microarray data from these experimentshave been stored, preprocessed and analyzed in a relational MySQL database that is accessible through this website.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of stress induced DNA destabilizations. It currently incorporates prokaryotic and eukaryotic genomes only, with archea and viruses to follow. This research group has developed statistical mechanical methods to computationally analyze the occurrence of structural transitions in stressed DNA molecules. When these methods are used to analyze genomic DNA sequences, they make highly precise predictions of the locations at which the DNA duplex is destabilized, and the amount of destabilization experienced. Several experiments have been performed to date to assess stress-induced DNA destabilization in specific DNA sequences, both in vitro and in vivo. In all cases our methods correctly predicted the locations and extents of separated regions at single base pair resolution as functions of the level of imposed superhelical stress. This quantitatively close agreement enables our computational methods to be used with confidence to analyze other sequences, on which experiments have not been performed. We have analyzed a wide variety of genomic DNA sequences in this way, including the complete genomes of Escherichia coli and Saccharomyces cerevisciae. This work has shown that the susceptibility to stress-induced destabilization is closely associated with several classes of DNA regulatory regions, including promoters and terminators, replication origins, nuclear matrix attachment sites, DNase hypersensitive sites, and hotspots for translocation, retrotransposon integration or recombination. Working in collaboration with experimental groups, this approach is providing unprecedented new insights into the precise mechanisms governing numerous biologically important events, including eukaryotic nuclear scaffold attachment to c-myc oncogene regulation, activation of transcription from IHF-regulated genes in E. coli, transcription termination in yeast, and activation of replication of a mutant, encephalopathy-producing JC virus.
The Shanghai Rapeseed Database contains genomic information about the Rapeseed plant. Resources available through the website include BLAST search functions, cDNA library construction, microarray hybridization, SAGE, and ethylmethanesulfonate (EMS) induced mutant population data. Multiple high-throughput genomic approaches were performed to study the gene expression profiles during Brassica napus (huyou-15) seed development and fatty acid (FA) metabolism, as well as the relevant regulation. Serial Analysis of Gene Expression (SAGE) using seed materials obtained a total of 68,716 tags, of which 23,895 were unique and 503 tags were functionally identified, and further revealed the transcriptome of approximately 35,000 transcripts in B. napus developing seeds. Further, ~22,000 independent ESTs were obtained by large-scale sequencing using immature embryos at different stages. 8462 uni-ESTs and 3526 full-length cDNAs were identified respectively, resulting in the systemic identification of B. napus FA biosynthesis-related genes. Gene expression profiles were further studied employing cDNA chip hybridization to reveal the global regulatory network of FA metabolism in developing seeds.