We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Project creating a DNA biobank from persons admitted to the neurointensive care unit of the Karolinska University Hospital to study possible genetic influences in traumatic brain injuries (TBI). Serum and cerebrospinal fluid sampled during the subacute phase are also collected. Samples were collected prospectively from clinically well characterized patients to allow for studies of association between candidate genes and clinical outcome parameters or biomarkers for relevant disease processes. The aim is to collect samples from 200-400 individuals. Samples will be collected from TBI patients at up to three different occasions. At first sampling, whole blood, serum and liquor will be collected and at the second and third occasions only serum and liquor.
An Antibody supplier.
An imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1����m^3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva. The ViBE-Z database and atlas are stored in HDF5 file format. They are freely available for download. ViBE-Z provides a software that automatically maps gene expression data with cellular resolution to a 3D standard larval zebrafish (Danio rerio) brain. ViBE-Z enhances the data quality through fusion and attenuation correction of multiple confocal microscope stacks per specimen and uses a fluorescent stain of cell nuclei for image registration. It automatically detects 14 predefined anatomical landmarks for aligning new data with the reference brain. ViBE-Z performs colocalization analysis in expression databases for anatomical domains or subdomains defined by any specific pattern. The ViBE-Z database, atlas and software are provided via a web interface.
XuvTools (pronounced ex-you-vee-tools) is a fully automated 3D stitching software for biomedical image data, typically confocal microscopy images. XuvTools runs on Microsoft Windows XP and Vista, Linux and Apple Mac computers. It supports 32 and 64bit operating systems (with 64bit highly preferred). The goal of XuvTools is to provide tools, that combine multiple microscopic recordings to obtain a larger field of view (stitching) and a higher dynamic range (HDR recombination), or better resolution (multi view reconstruction), and to make these tools publicly available. What XuvTools can do: * Full 3D Stitching * Scaling, if the voxel sizes are known from image data * Fully automatic stitching modes * Manual pre-alignment modes * Arbitrary large datasets * Reads stage coordinates if available * free, no hidden costs * Reads many many input formats via LOCI Bio-Formats and Dmitry Fedorov''s BioImage. Limitations of XuvTools: (current limitations, we are working on it!) * No 2D Stitching: stacks need 4 Z-slices or more * No memory management: You need lots of RAM * No rotational alignment * The only supported output formats are: Imaris, HDF5 (No TIFF output support)
The study subjects invited to participate is chosen from the Swedish national Multiple Sclerosis registry and will number around 10 000 individuals to be included during two to three years. The same number of matched controls will also be included in the study. A pilot study with around 100 participants was performed during 2009, and the large scale study started in November 2009. Multiple sclerosis (MS) is a neurological disease that affects the central nervous system. It affects young people and the debut age is between 20 and 40 years. The disease comes with exacerbations but further on leads to disability. The incidence in Sweden is around 5 per 100 000 per year and the prevalence is 125 per 100 000 inhabitants. In total there are estimated around 13000 cases in Sweden and today 9000 of them are registered in the Swedish National Multiple Sclerosis register. Sample types * EDTA whole blood * DNA * Plasma Number of sample donors: 5592 (June 2010)
A virtual database that indexes both BioNOT for negation data, and the Resource Discovery Pipeline: an automated resource discovery and semi-automated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. This virtual database currently indexes the following resources: * BioNOT, http://snake.ims.uwm.edu/bionot/index.php?searchterm=mecp2+autism&submit=Search * Resource Discovery Pipeline, http://lucene1.neuinfo.org/nif_resource/current/
The BLASTatlas is a tool that is useful for mapping and visualizing whole genome homology of genes and proteins within a reference strain compared to other strains or species of one or more prokaryotic organisms using either blastp, blastn, tblastn, or blastx. DNA structural information is also included in the atlas to visualize the DNA chromosomal context of regions. Additional information can be added to these plots. The tool is SOAP compliant and WSDL (web services description language) files are available with programming examples available in Perl. The resolution is per-residue or per nucleotide depending on the regime of the blast search: For each annotation in the reference genome, the best hit in the database genome is found using one of the above algorithms. Each matching or mismatching residue/nucleotide of the best hit (based on BLAST score) is then mapped back to the genome sequence, using the coordinates provided in the annotations. By providing an interoperable method to carry out whole genome visualization of homology, this service offers bioinformaticians as well as biologists an easy-to-adopt workflow that can be directly called from the programming language of the user, hence enabling automation of repeated tasks. This tool can be relevant in many pangenomic as well as in metagenomic studies, by giving a quick overview of clusters of insertion sites, genomic islands and overall homology between a reference sequence and a data set.
A manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker's yeast and Brewer's yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases. YMDB contains metabolites arising from normal S. cerevisiae metabolism under defined laboratory conditions as well as metabolites generated by S. cerevisiae when used in baking and in the production of wines, beers and spirits. YMDB currently contains 2027 small molecules with 857 associated enzymes and 138 associated transporters. Each small molecule has 48 data fields describing the metabolite, its chemical properties and links to spectral and chemical databases. Each enzyme/transporter is linked to its associated metabolites and has 30 data fields describing both the gene and corresponding protein. Users may search through the YMDB using a variety of database-specific tools. The simple text query supports general text queries of the textual component of the database. By selecting either metabolites or proteins in the search for field it is possible to restrict the search and the returned results to only those data associated with metabolites or with proteins. Clicking on the Browse button generates a tabular synopsis of YMDB's content. This browser view allows users to casually scroll through the database or re-sort its contents. Clicking on a given MetaboCard button brings up the full data content for the corresponding metabolite. A complete explanation of all the YMDB fields and sources is available. Under the Search link users will find a number of search options listed in a pull-down menu. The Chem Query option allows users to draw (using MarvinSketch applet or a ChemSketch applet) or to type (SMILES string) a chemical compound and to search the YMDB for chemicals similar or identical to the query compound. The Advanced Search option supports a more sophisticated text search of the text portion of YMDB. The Sequence Search button allows users to conduct BLASTP (protein) sequence searches of all sequences contained in YMDB. Both single and multiple sequence (i.e. whole proteome) BLAST queries are supported. YMDB also supports a Data Extractor option that allows specific data fields or combinations of data fields to be searched and/or extracted. Spectral searches of YMDB's reference compound NMR and MS spectral data are also supported through its MS, MS/MS, GC/MS and NMR Spectra Search links. Users may download YMDB's complete textual data, chemical structures and sequence data by clicking on the Download button.
A software tool designed to aid researchers in browsing through scientific literature. As one reads an online article and encounters a citation that looks important, CSIBS creates a preview summary of the cited document. The key innovation is the contextual tailoring of the automatically generated summaries using the citation and its surrounding text. As this context changes, so too does the citation-specific summary portion of the preview, which contains contextually-relevant sentences extracted from the cited document. The CSIBS preview presents relevant information required to appraise the citation, containing meta-data about the reference, the abstract and the citation-specific summary. Thus, CSIBS, alleviates information overload by enabling the reader to determine whether or not to invest time in exploring the cited article further. Reference, http://www.sciencedirect.com/science/article/pii/S1570826810000181
CSIRO''s hub for innovative information and communication technologies applied across the breadth of CSIRO''s engagement with industry and society. Our Labs * Autonomous systems - CSIRO is developing autonomous technologies to monitor the environment and infrastructure and improve safety and operating efficiency in the mining, manufacturing and agricultural industries. * Information engineering - Science and technology for finding, integrating, managing and delivering services and information in a trusted and secure way. * Wireless & networking - CSIRO is working on enabling technologies for future mobile and wireless communications networks and developing next generation imaging and sensing systems. CSIRO is developing improved communications systems and sensors for innovative medical and industrial applications. * Australia e-Health Research Centre - Through the Australian e-Health Research Centre, CSIRO invests significantly in using information and communication technologies to improve healthcare and clinical treatment for all Australians. * Tasmanian ICT Centre - The Tasmanian ICT Centre has developed a world-class ICT research capacity and conducts innovative applied research in the areas of sensor networks and data management.
A structured controlled vocabulary of the anatomy and development of the Zebrafish (Danio rerio). It includes a list of structures, organized hierarchically into an ontology, with descriptions of each structure. The current version is being written by a consortium of researchers, each serving as an expert for a particular set of anatomical structures. Additional anatomical information derived from the current literature is provided by the ZFIN curation group. Development of a complete and uniform anatomical ontology for the zebrafish is vital to the success of zebrafish science. The anatomical ontology is necessary for: * Effective data dissemination and informatics. * A reference framework. * Interoperability.
Authoring tool to create, share, and collaborate on the web with documents, spreadsheets, presentations, and more in real time. All your changes are saved automatically in Drive.
The Janus Serum Bank has blood samles from 317 000 Norwegians. The biobank is reserved for cancer research, and is internationally unique regarding size and number of cancer cases. The Janus Serum Bank is a population based biobank reserved for cancer research. The specimens are collected during the period from 1972-2004 and are stored at 25 degrees Celsius. The samples originate from 317 000 persons in Norway who have participated in health studies and also from blood donors in and around Oslo. Today, samples are only collected from earlier donors in the Janus Serum Bank who have developed cancer. The Bank is internationally unique regarding size and number of cancer cases. Annual linkage to the Cancer Registry shows that 52 500 donors are diagnosed with cancer as of December 31, 2009. The main goals of the biobank are to make the material available to cancer researchers over the whole world and deliver quality assured samples and data. The Janus Serum Bank is registered in the Biobank Register (Notification number 737)
This file describes a selection of the behavioral paradigms that have been useful in behaviorally phenotyping mouse mutants.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. An integrated resource hosting combined EST data from Oomycetes. It also separates Soybean ESTs from compatible P.sojae infection libraries. Public soybean unigenes and publicly available soybean infection libraries are also part of this database. Currently in this database we have placed 10 libraries from P.sojae(sHA,sHB,sMA,sML,sMY,sMC,sZG,sZO,sZS,iMY) having 33350 raw sequences. Additionally, there are 99,320 EST sequences from P.infestans from NCBI. For P.infestans sequences cleaning information is not available. These sequences are clustered and assembled and data analysis was performed by us. We have separated Soybean ESTs from P.sojae libraries using insillico methods. The soybean libraries are named as gHA and gHB based on their origin from sHA or sHB. All publicly available soybean unigenes(37,465) are added to this database. For public soybean sequences we did not perform any cleaning or assembly. The unigenes were annotated prior to storing. Recently, we added 37492 ESTs from Hyaloperonospora parasitica. All the ESTs are clustered into unigenes and annotated using blastx to nr database, interproscan, TMHMM and SignalP. Annotations are updated every 3 months.
Public land-grant research university in Reno, Nevada.
The Finnish Cancer Registry maintains a nation-wide database on all cancer cases in Finland going back to 1953. It is also an internationally active institute for statistical and epidemiological cancer research. The Mass Screening Registry is a department of the Finnish Cancer Registry, and is responsible of planning and evaluating national cancer screening programs in Finland. The site contains information on cancer research and up to date statistics on the prevalence of different types of cancer in Finland, the Nordic countries and on a global level. The web pages include information for participants in cancer screening and for professionals involved in organizing such screening.
It consists of a Genome Browser, an LD Search System, and the VaryGene 2 system. The Generic Genome Browser is a combination of database and interactive Web page for manipulating and displaying annotations on genomes, while LDSearchSystem is a search system for linkage disequilibrium (LD) bins. VaryGene 2 is a system to search, display, and download our research results on human polymorphism based on publicly available data and annotations of transcripts presented by H-InvDB. VaryGene 2 provides information about single nucleotide polymorphisms (SNPs), deletion-insertion polymorphisms (DIPs), short tandem repeats (STRs), single amino acid repeats (SARs), structural variation (or copy number variations: CNVs), and their relations to the genome, transcripts, and functional domains. Users can search by polymorphisms, transcripts, STRs/SARs, and CNVs.
The 16 affiliated Model System centers throughout the United States are responsible for gathering and submitting the core data set to the national database as well as conducting research studies on traumatic brain injury (TBI) both in collaboration with the other centers and within our own site. Through our research we hope to learn more about TBI and about the issues and concerns of people with TBI. Our goals are to improve the outcome and quality of life for people who have had brain injuries and for those who are caring for the person with a TBI. The North Texas Traumatic Brain Injury Model System (NT-TBIMS) pools the efforts and talents of individuals from the Departments of Neurosurgery, Neurology, Physical Medicine and Rehabilitation, Psychiatry (Neuropsychiatry), and Neuroradiology of the two leading medical institutions in the North Texas region. To be a patient involved in the research being conducted by the North Texas Traumatic Brain Injury Model System you must have suffered a TBI, be at least 16 years of age, have received initial treatment for the TBI at either Parkland Health and Hospital System or Baylor University Medical Center and then have received rehabilitative care at either Parkland, University Hospital Zale-Lipshy, or Baylor Institute for Rehabilitation. The patient must also be able to understand and sign an informed consent to participate or, if unable, have a family member or a legal guardian who understands the form sign the informed consent for the patient.
This database is intended as a comprehensive resource for UTR (Untranslated Region) biology in C. elegans. The database provides detailed information on UTR structures for all protein-coding mRNAs, and includes annotations extracted from other databases (such as WormBase and PicTar) as well as new annotations generated as part of the NYU UTRome project (including preliminary characterization of UTR clones, USTs (UTR sequence tags), curated sequences, and computational and experimental analysis of functional elements). Examples of functional elements within UTRs include predicted and validated microRNA (miRNA) binding sites (responsible for post-transcriptional gene regulation), putative consensus signals for polyA addition, and predicted secondary structures (which may influence the biological activity of UTRs). The UTRome project is part of the ModEncode Consortium, an NIH initiative to characterize at a genomic scale functional sequence elements encoded in the worm (C. elegans) and fly (D. melanogaster) genomes. UTRs are important portions of mRNAs required for post-transcriptional regulation by interacting with proteins or non-coding RNAs (e.g. microRNAs). To study the role of UTRs we are building a UTR database for C. elegans.