We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Integrated information resource for rice genomes as well as a workbench for comparative genomic analysis among cereal crops. Sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The rice genomes have been annotated for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified. Designed as a basic platform for rice study, the sequenced genomes and related information is presented in systematic and graphical ways for the convenience of in-depth comparative studies. In addition to the comprehensive data of Oryza sativa L. ssp. indica sequenced, BGI-RIS will host carefully curated genome information of Oryza sativa L. ssp. japonica.
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An Antibody supplier
Software application (entry from Genetic Analysis Software)
Database on Drosophila melanogaster exons presented in a splicing graph form. Data is based on release 3.2 of the Drosophila melanogaster genome annotations available at FlyBase. The gene structure information extracted from the annotations were checked, clustered and transformed into splicing graph. The splicing graph form of the gene constructs were then used for classification of the various types of alternative splicing events. In addition, Pfam domains were mapped onto the gene structure. Users can query the database using the query page using BLAST, FlyBase Gene Name, FlyBase Gene Symbol, Pfam Accession Number and Pfam Identifier. This allows users to determine the Drosophila melanogaster homology of their gene using a BLAST search and to visualize the alternative splicing variants if any. Users can also determine genes containing a particular domain using the Pfam Accession Numbers and Identifiers.
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 26, 2019.<br/><br/>Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Software program for creating montages from multiphoton microscopy.
DroSpeGe provides a preview of newly sequenced Drosophila genomes, with genome maps and BLAST sequence search. Genome maps include D. melanogaster genome homology, homologies to nine eukaryote proteomes, marker gene locations, and Drosophila microsatellites. Current genome assemblies can be BLASTed, with links to genome maps of your BLAST matches. Annotation data are available in Gene Finding Format (GFF) for these whole genome comparisons.
The Stanford Genome Technology Center began a whole genome shotgun sequencing of strain SC5314 of Candida albicans. After reaching its original goal of 1.5X mean coverage of the haploid genome (16Mb) in summer, 1998, Stanford was awarded a supplemental grant to continue sequencing up to a coverage of 10X, performing as much assembly of the sequence as possible, using recognizable genes as nucleation points. Candida albicans is one of the most commonly encountered human pathogens, causing a wide variety of infections ranging from mucosal infections in generally healthy persons to life-threatening systemic infections in individuals with impaired immunity. Oral and esophogeal Candida infections are frequently seen in AIDS patients. Few classes of drugs are effective against these fungal infections, and all of them have limitations with regard to efficacy and side-effects.
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Plasma and cell fractions obtained from patients with Diabetes and endocrine diseases and their first degree relatives who agreed to participate in the development of the biorepository. Plasma is aliquoted into multiple specimen containers and stored at -80C. Cell fractions are subjected to DNA and RNA fractionation, aliquoted into multiple specimen containers, and frozen at -70 to -80 degrees centigrade. Anyone who would like to obtain samples from the Biorepository must provide evidence that they have adequate training in the use of bloodborne pathogens, as outlined by OSHA. The investigator must agree to indemnify and hold harmless the Ohio University Diabetes/Endocrine Diseases Biorepository, the Appalachian Rural health Institute, and the Ohio University College of Osteopathic Medicine from any claims, liability, costs, and damages.
The DNA amount in the unreplicated gametic nucleus of an organism is referred to as its C-value, irrespective of the ploidy level of the taxon. The Plant DNA C-values Database currently contains data for 7058 plant species. It combines data from the Angiosperm DNA C-values Database, Gymnosperm DNA C-values Database, the Pteridophyte DNA C-values Database, the Bryophyte DNA C-values Database, together with the addition of the Algae DNA C-values database.
Network service for comparing protein structures in 3D. You submit the coordinates of a query protein structure and Dali compares them against those in the Protein Data Bank (PDB). You receive an email notification when the search has finished. In favourable cases, comparing 3D structures may reveal biologically interesting similarities that are not detectable by comparing sequences. Requests can also be submitted by e-mail to dali-server at helsinki dot fi. The body of the e-mail message must contain atomic coordinates in PDB format. If you want to know the structural neighbours of a protein already in the Protein Data Bank (PDB), you can find them in the Dali Database. If you want to superimpose two particular structures, you can do it in the pairwise DaliLite server. Academic users may download the DaliLite program for local use.
It is a database of RNA Junction and Kissing Loop Structures. RNA is versatile in both its structure and function. Within this database you will to able to find more than 12,000 extracted three-dimensional junction and kissing loop structures as well as detailed annotations for each. If you are interested in RNA as a building block for nano-scale design or if you are analyzing the properties of specific RNA motifs you should find utility in this site. The junctions in this database were extracted using a junction scanning algorithm from a number of structures from the Protein Data Bank. Coming from parent structures, both NMR and crystal, these junctions may be under contextual constraints. It is possible that these constraints play a critical role in the junction's conformation and stability.
These programs have been written over the last 20 years for analysis of our own results. They all do some things that are still not available in any commercial program. The programs are written in protected-mode 32-bit Fortran 90, with some assembler subroutines for fast graphics, and the Gino graphics library. Thus they are essentially DOS programs, though they are usually run from Windows, either via a desktop icon (the .ico files) or in the DOS box. The manuals (now in pdf format), have now all been collected into a single document, DCMANUALS.PDF, which should be downloaded, and the bits that you need can then be printed. Note that some sections are common to many or all programs, e.g. the notes on the graph and histogram drawing subroutines, and it is important to read this before using any of the programs (though there is a lot of online help (hit F1) for the graphics, and also in SCAN. Sponsor. Our work was supported by the Wellcome Trust (project grant 074491) and the Medical Research Council (programme grant G0400869).
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THIS RESOURCE IS NO LONGER IN SERVICE, documented August 19, 2016. A relational database in which all editing information such as substitutions, insertions and deletions occurring in a wide range of organisms is stored and maintained in ad hoc designed textual flat files. Individual genes of interest can be searched by appropriate query strings containing the gene name or the intracellular location or the molecular type (as tRNA, rRNA, intron) or the organism or a combination of the previous terms. Moreover, each record of the REDIdb database can be also retrieved according to its specific accession number (more help on how to perform a REDIdb search is available at the ?help? page). To make easier the browsing of each REDIdb entry and quicker the identification of editing sites, two alternative but complementary facilities have been provided either to graphically display genomic and cDNA sequences or to show the corresponding alignment. In both cases, all editing sites are highlighted in colour and their relative positions are shown by mousing over.
A database of motifs found in plant cis-acting regulatory DNA elements, all from previously published reports. It covers vascular plants only. In addition to the motifs originally reported, their variations in other genes or in other plant species reported later are also compiled. The PLACE database also contains a brief description of each motif and relevant literature with PubMed ID numbers. DDBJ/EMBL/GenBank nucleotide sequence databases accession numbers will be also included. Note: As of January 2007, PLACE is no longer updated or maintained.
Software application that is a data mining strategy for detecting and characterizing nonlinear interactions among discrete attributes (e.g. SNPs, smoking, gender, etc.) that are predictive of a discrete outcome (e.g. case-control status). The MDR software combines attribute selection, attribute construction and classification with cross-validation to provide a powerful approach to modeling interactions. (entry from Genetic Analysis Software)