We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Large, ongoing, multifactorial study based on nation-wide ascertainment of patients with schizophrenia and bipolar disorder through the Swedish Twin Registry to include both neuroimaging data, neurocognitive function, molecular genetic data and early adverse environmental factors in the same model in a genetic sensitive design. Swedish schizophrenia research will benefit from this large study database of in total 240 affected and healthy twin pairs collected over a 5 year period. The specific aims are: * To elucidate neural endophenotypes for schizophrenia and bipolar disorder and to clarify the extent of overlap in these features between the two syndromes. * To investigate candidate genes and genomic regions for linkage and association with neural endophenotypes for schizophrenia and bipolar disease. * To determine the contributions of adverse prenatal and perinatal conditions to neural changes associated with schizophrenia and bipolar disease. Types of samples * EDTA whole blood * DNA * RNA Number of sample donors: 251 (June 2010)
This study will include 5000 individuals recruited from The National Quality Register for Bipolar Disorder (Bipol��R) and The National Patient Register (Patientregistret) from which subjects with two or more hospitalizations with bipolar disorder will be eligible for inclusion. Bipolar disorder (manodepressive illness) is an often devastating neuropsychiatric disorder associated with considerable morbidity, mortality, human suffering, and societal costs. Genetic epidemiological studies provide indirect evidence of the importance of inheritance as bipolar disorder is clearly familial. Sample types * EDTA whole blood * DNA * Plasma Number of sample donors: 915 (June 2010)
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Study to investigate symptoms of Attention Deficit Hyperactivity Disorder (ADHD) according to DSM-IV in adults with special focus on attention deficit. Information is used from the Swedish Twin study of Adults: genes and Environment (STAGE) from the Swedish Twin Registry. ADHD-discordant and concordant samples of pairs of twins for ADHD are selected from STAGE for studies of brain structure and function with Functional Magnetic Resonance Imaging (fMRI).
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19,2022. The St G??ran Bipolar Study (SBP) is a prospective naturalistic study of patients suffering from bipolar disorder. Consenting patients are enrolled when diagnosed with any of Bipolar I, II, NOS disorder, cyclothymia, or schizoaffective disorder. At baseline, medical and social history is meticulously reviewed and the clinical diagnosis is established using a structured diagnostic instrument. Types of samples * EDTA whole blood * DNA * Plasma * Serum * Cerebrospinal fluid Number of sample donors: 371 (June 2010)
An Antibody supplier
SynDB is an online resource of proteins known or predicted to be related to the synapse or synaptic activity, and extensive information on the proteins'' functions, sequences, structures, expression, pathways, interactions, and disease associations. It is intended to be a repository of current knowledge and data as well as a starting point for future proteomics research in neurobiology. SynDB is the first focused database of the molecular biology of the synapse proteome. It contains the most comprehensive collection of proteins (13809 unique proteins spanning 1979 species and 104 protein domains, Aug 2006) that are known or predicted to be associated with synaptic activities. It integrates extensive information on protein functions, sequences, structures, expression, pathways, interactions, and disease associations. SynDB was generated using a combination of automated approaches, including keyword- and domain-based searches, and manual curation. It serves as a starting point for future neurobiology, neuropharmacology, and neuroinformatics research. Synapse ontology is a set of standard vocabulary which help to describe all synaptic gene products in a consistant way. As in common ontology, synapse ontolgy is composed of all the terms in a hierarchical structure, but specifically restricted to the function and structure annotation of synapse related gene products. Synapse ontology is a callaborative fruit of bioinformatists and neural biologists. Synapse ontolgy is aimed to describe all the synaptic molecules in terms of structure/biochemistry of synapse and physiology/function at synapse in a specied-independent manner. The controled vocabularies are hierarchically structured, so you can browser the related gene products in different levels: for example, you can find all the gene products of synaptic vesicle cycling or ion channels and receptors, or you can zoom in on all the gene products playing roles in the priming step of synaptic vesicle cycling.
Bioinformatics Resource Center for invertebrate vectors. Provides web-based resources to scientific community conducting basic and applied research on organisms considered potential agents of biowarfare or bioterrorism or causing emerging or re-emerging diseases.
The study will collect 1,500 cases with schizophrenia and 1,500 well-matched controls ascertained via high-quality Swedish national hospitalization and population registries. Both cases and controls will be population-based and of Scandinavian ancestry. Types of samples * EDTA whole blood * DNA Number of donors: 10 820 (June 2010)
FastFig is a computational tool that lets users seamlessly combine numerical models so that using science is easier than ever. Sign up now for our limited beta release to be among the first to experience FastFig. At Fig Labs, Inc. we develop solutions for scientific data management, analysis and distribution. We specialize in scientific computing solutions and information management systems. Currently, we are developing a web application called FastFig that helps engineers and scientists to collaboratively create, solve and share numerical models. With FastFig you can: * Perform numerical analysis on everything from simple equations to complex models using our dynamic online interface. * Share the functions that you have built along with documentation so that others can use your function. * Search and browse functions to discover what people are calculating all over the world.
A generic set of components that can perform a variety of tasks, such as learn new pattern recognition models, perform specialized search on resource collections, and store knowledge in a repository. W3C standards are used to make data accessible and manageable with semantic web technologies such as OWL, RDF(S), and SKOS. The AIDA Toolkit is directed at groups of knowledge workers that cooperatively search, annotate, interpret, and enrich large collections of heterogeneous documents from diverse locations. The server offers services for: text indexing and statistics, metadata storage and querying, thesaurus reasoning, annotation, text retrieval, spelling correction, synonym detection, and model learning.
Allows users with access to a computer cluster to rapidly align whole-genome bisulfite sequencing or RRBS reads.
Citation standard that offers proper recognition to authors as well as permanent identification through the use of global, persistent identifiers in place of URLs, which can change frequently. Use of universal numerical fingerprints (UNFs) guarantees to the scholarly community that future researchers will be able to verify that data retrieved is identical to that used in a publication decades earlier, even if it has changed storage media, operating systems, hardware, and statistical program format.
The National Evolutionary Synthesis Center (NESCent) is a nonprofit science center dedicated to cross-disciplinary research in evolution. NESCent promotes the synthesis of information, concepts and knowledge to address significant, emerging, or novel questions in evolutionary science and its applications. NESCent achieves this by supporting research and education across disciplinary, institutional, geographic, and demographic boundaries. Synthetic research in evolutionary science takes many forms but includes integrating novel data sets and models to address important problems within a discipline, developing new analytical approaches and tools, and combining methods and perspectives from multiple disciplines to answer and even create new fundamental scientific questions. NESCent facilitates such synthetic research by providing an environment for fertile interactions among scientists. Our Science and Synthesis program sponsors postdoctoral fellows and sabbatical scholars as resident scientists, and two kinds of meetings, working groups and catalysis meetings. Catalysis meetings provide a novel mechanism for bringing together diverse research communities and cultures to identify common interests, while working groups provide an opportunity for scientists to work together intensively on fundamental synthetic questions over a several-year period. These activities are community driven through our application process and evaluated by an external advisory board. Our Informatics program provides state of the art informatics tools to visiting and in-house scientists and aims to take the lead in assembling novel databases and developing new analytical tools for evolutionary biology. Finally it is sponsoring a major initiative to provide a digital data repository for work in evolutionary biology. NESCent''s Education and Outreach group communicates the results of evolutionary biology research to the general public and scientific community, provides outreach to groups who are underrepresented in evolutionary biology and works to improve evolution education.
International, curated, digital repository that makes the data underlying scientific publications discoverable, freely reusable, and citable. Particularly data for which no specialized repository exists. Provides the infrastructure for, and promotes the re-use of, data underlying the scholarly literature. Governed by a nonprofit membership organization. Membership is open to any stakeholder organization, including but not limited to journals, scientific societies, publishers, research institutions, libraries, and funding organizations. Most data are associated with peer-reviewed articles, although data associated with non-peer reviewed publications from reputable academic sources, such as dissertations, are also accepted. Used to validate published findings, explore new analysis methodologies, repurpose data for research questions unanticipated by the original authors, and perform synthetic studies.UC system is member organization of Dryad general subject data repository.
A Cytoscape plugin that performs integrated gene set analysis using information from interaction, pathways and processes databases. The plugin integrates information from three separate web servers specializing in enrichment analysis, pathways expansion and topological matching. It uses the TopoGSA server to identify topological analogies between the user selected gene set and the known pathways and processes. TopoGSA finds the most similar biological mechanism using the topological features of the interaction network of a user selected gene set. It is also able to suggest genes related to the query gene set using two pathway analysis servers EnrichNet and PathExpand. Both these servers are using a different topological matching algorithms that extends the query gene set with genes from the pathway databases. This integration substantially simplifies the analysis of user gene sets and the interpretation of the results.
Database of Bacterial ExoToxins for Human is a database of sequences, structures, interaction networks and analytical results for 229 exotoxins, from 26 different human pathogenic bacterial genus. All toxins are classified into 24 different Toxin classes. The aim of DBETH is to provide a comprehensive database for human pathogenic bacterial exotoxins. DBETH also provides a platform to its users to identify potential exotoxin like sequences through Homology based as well as Non-homology based methods. In homology based approach the users can identify potential exotoxin like sequences either running BLASTp against the toxin sequences or by running HMMER against toxin domains identified by DBETH from human pathogenic bacterial exotoxins. In Non-homology based part DBETH uses a machine learning approach to identify potential exotoxins (Toxin Prediction by Support Vector Machine based approach).
Vector database is a digital collection of vector backbones assembled from publications and commercially available sources. This is a free resource for the scientific community that is compiled by Addgene. Only the plasmids deposited at Addgene are available for purchase through this website.
Service and open API to tag the people, places, facts and events in your content. You hand the Web Service unstructured text (like news articles, blog postings, your term paper, etc.) and it returns semantic metadata in RDF format. Using natural language processing and machine learning techniques, the Calais Web Service examines your text and locates the entities, facts, and events. Calais then processes the entities, facts and events extracted from the text and returns them to the caller in RDF format. * Calais Tagaroo: If you are on WordPress, this plug-in automatically tags content as you type. It can also fetch images from Flickr and videos from Google Video. * Calais Marmoset: To manipulate your search results appearance in Google and Yahoo!, which is simple javacode you embed in your site pages. It will collect the metadata from your page (in the form of RDFa) and hand it over to Google Rich Snippets> and Yahoo! Search Monkey so that you can customize the way your search results appear. * Semantic Proxy: If you want to extract metadata from Web pages using URLs * Calais Collection: For the open source platform Drupal, you can find a complete Calais Collection of modules for easy integration. * OpenPublish: for building a new site from the ground up, this free Content Management System is based on Drupal. OpenPublish bakes-in OpenCalais from the ground up to semantify your site and automate the creation of ''related reading'' widgets, ''topic hubs'' and more.
Database that gathers, generates, and shares taxa, images, videos, and sounds to freely provide knowledge about life on earth to increase awareness and understanding of living nature. Free EOL memberships are ranked so members have greater authority and editorial abilities based on their level of expertise.
The Global Biodiversity Information Facility (GBIF) was established by governments in 2001 to encourage free and open access to biodiversity data, via the Internet. Through a global network of countries and organizations, GBIF promotes and facilitates the mobilization, access, discovery and use of information about the occurrence of organisms over time and across the planet. GBIF provides three core services and products: # An information infrastructure an Internet-based index of a globally distributed network of interoperable databases that contain primary biodiversity data information on museum specimens, field observations of plants and animals in nature, and results from experiments so that data holders across the world can access and share them # Community-developed tools, standards and protocols the tools data providers need to format and share their data # Capacity-building the training, access to international experts and mentoring programs that national and regional institutions need to become part of a decentralized network of biodiversity information facilities. GBIF and its many partners work to mobilize the data, and to improve search mechanisms, data and metadata standards, web services, and the other components of an Internet-based information infrastructure for biodiversity. GBIF makes available data that are shared by hundreds of data publishers from around the world. These data are shared according to the GBIF Data Use Agreement, which includes the provision that users of any data accessed through or retrieved via the GBIF Portal will always give credit to the original data publishers. * Explore Species: Find data for a species or other group of organisms. Information on species and other groups of plants, animals, fungi and micro-organisms, including species occurrence records, as well as classifications and scientific and common names. * Explore Countries: Find data on the species recorded in a particular country, territory or island. Information on the species recorded in each country, including records shared by publishers from throughout the GBIF network. * Explore Datasets: Find data from a data publisher, dataset or data network. Information on the data publishers, datasets and data networks that share data through GBIF, including summary information on 10028 datasets from 419 data publishers.