We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.
The Archives of General Psychiatry strives to publish original, state-of-the-art studies and commentaries of general interest to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and allied fields. The Archives seeks to inform and to educate its readers as well as to stimulate debate and further exploration into the nature, causes, treatment, and public health importance of mental illness. Archives of General Psychiatry is an international peer-reviewed journal published 12 times a year. The online version is published on the first Monday of the month. There is a Middle Eastern edition of Archives of Neurology/Psychiatry published quarterly. The editor is interested in publishing high-impact articles that cover the field broadly, from genetic mechanisms to psychotherapeutic intervention trials. The acceptance rate is 17%. The average time from submission to first decision is 32 days; from acceptance to publication, 5.4 months. Its 2008 impact factor is 14.27 (the impact factor is a measure of citation rate per article, and is calculated by dividing 1 year''s worth of citations to a journal''s articles published in the previous 2 years by the number of major articles (eg, research papers, reviews) published by that journal in those 2 years).
A website which provides in-depth fact sheets on aspects of dementia and dementia care. It provides information on member organizations in each state, support and respite services as well as counseling and education available through Alzheimer's Australia. This organization's vision is for a society committed to the prevention of dementia, while valuing and supporting people living with dementia. Alzheimer's Australia manages a wide range of innovative National Programs which provide information, support, counseling, training and education to people with dementia, their families and carers as well as to professionals working in the dementia field.
A publisher of original scholarly work focused on psychiatric education and professional development in academic psychiatry. The journal features work that furthers knowledge in psychiatric education and stimulates improvements in academic psychiatry. Articles address teaching, research, and administration, as well as clinical, organizational, and economic issues relevant to the academic missions of departments of psychiatry. Overview articles present empirical research and critical analysis of important topics in academic psychiatry. Other features include a new ideas section, commentaries, and letters to the editor. Academic Psychiatry also publishes the best papers from meeting workshops, provides a forum for debates, and often presents theme issues that focus on a single area of psychiatric education.
UK’s national facility for mouse genetics and use of mouse models for preclinical study of human disease.Offers services to researchers around the world. Services include free archiving of mouse lines to protect them for future use, distribution of mouse lines from the Archive, breeding and phenotyping of genetically altered mice, and genome engineering services to generate new mouse models.Offers archiving and distribution of mouse lines to safeguard germplasm collected from unique strains and make it readily available to the scientific community.
THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Data analysis software for complete multipoint analysis.
The Institute of Medical Psychology and Behavioral Neurobiology in Germany is an institutional portal established at the Faculty of Medicine of the University of Tbingen in 1993. With the assignment of the chair for Medical Psychology and Medical Sociology to Professor Birbaumer the educational task became the instruction of medical students in Medical Psychology and Medical Sociology. Christoph-Dornier-Center of Clinical Psychology at the University of Tobingen Medical Faculty In March 2001, a new institute of the Christoph Dornier Foundation was opened under the direction of Prof. Niels Birbaumer. The aim of this institute is to advance research in behavioral neurobiology and behavioral medicine. The results of the research should be directly translated into treatments. The emphasis in Tbingen is on the treatment of chronic pain and intractable epilepsy, using a combination of biofeedback training and behavioral therapy. Even though a positive effect of biofeedback has been proven in many controlled studies, the method is still far from being accepted in everyday clinical practice. The outpatient department in Tbingen intends to enable access to this treatment to a wider population of patients. Magnetoencephalography(MEG)-Center The MEG-Center (established 1997) is a central research facility at the University of Tbingen. The Center is operated by the Institute of medical psychology and behavioural Neurobiology and hosts a whole-head 151-channel system built by VSMMedtech (www.vsmmedtech.com). In early 2006 in addition to the wholehead MEG an additional special purpose MEG system will be installed in Tbingen (funded by the DFG and Land Baden Wrttemberg). This MEG is dedicated to the investigation of fetal brain signals in utero (fMEG) . The fMEG will be installed at the University Woman Clinic and operated by the staff of the MEG center. This is the first dedicated fMEG system in Europe. Some content on the website is only in German.
BIRD''s mission is to aid the progress of bioinformatics and promote creation of new biology, which has computational, deductive, predictive, and theoretical features. (most of this site is in Japanese) To carry out its responsibilities, BIRD: * Promotes appropriate development of bioinformatics research and development, such as what kinds of databases and analysis software should be developed and what kind of computer facilities are needed for that development. * Maintains the computer environment and network and functions as a funding agency to further promotion plans. * Develops basic databases: genome sequence database, protein 3D structure database, gene expression profile database, molecular interaction database, etc. * Conducts and coordinates integration, enhancement, and standardization of the basic databases. * Develops computing tools for analyzing various kinds of biological and experimental data, data mining from databases, computer simulation of living systems and so on. * Develops ontologies necessary for data and knowledge description of databases storing biological functions and integration of the basic databases. * Conducts and coordinates research and development of innovative and creative technologies and theories which move toward understanding life as an information system, especially approaches by collaboration of computer scientists and experimental scientists. * Provides computer facilities for developing databases and software and making them publicly available. * Sets up training courses for teaching utilization of databases and tools for novices in bioinformatics and sponsors scientific meetings. * Provides community space with high performance computing facilities where innovative ideas are cultivated by free discussion and "trial and error" with the computer in order to promote development of young scientists who will create new biological discoveries based on bioinfomatics and become leaders in the field.
A database, and associated atlas, that characterizes gene expression across genetic backgrounds and sex, expanding beyond the adult male C57BL/6J reference brain comprising the Allen Mouse Brain Atlas to include seven strains of male mice and female C57BL/6J mice. Gene expression was detected using colorimetric RNA in situ hybridization (ISH) that provides cellular level anatomic resolution. ISH data are searchable and organized by gene, strain, or sex.
www.thehumanbrain.info is a unique repository that provides the most detailed and accurate delineations of the brain structures available. It offers multiple, multifarious tools for educational training and scientific use. Free content of the website: Series of images from several heads depicting head and brain anatomy in detail Brain structures are presented in the standard stereotaxic space Consistent color coding uses the same color fr individual structures that can be followed from section to section but also identifying same structures in horizontal, coronal and sagittal planes through the complete head and isolated brain Multiple languages support Innovative navigations allowing effortless switch between the names and descriptions of anatomical structures Terminology organized into a hierarchy defined upon a partitive relationship Structure description Supplementary high resolution images (X-ray, cyto- and myeloarchitecture) Advanced search facilities for structures and abbreviations
Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results.
The objectives of Open Science Summit are to create an annual flagship event and news hub to build and maintain the identity of the international Open Science Movement as well as organize the various sub-communities into an effective, global, socio-technological force for rapid change in science/innovation policy. The Open Science Summit is the first and only event examining the full spectrum of the most crucial policy questions affecting the future of science. We consider the disruptive changes required to improve the functioning of 21st science, including institutional changes, new infrastructure for data driven science, and new practices. Scientists, Hackers, Students, Patients, and Activists, Entrepreneurs, Funders, Citizens should attend. Anyone who cares passionately about unleashing the full potential of Open Science to solve the big problems confronting humanity. Topics include: Synthetic Biology, Open Data, Open Access, Microfinance for Science, Citizen science, DIY Biology, Alternative Funding for Research, Open Source Drug Discovery, The Future of Patents, Accelerating Innovation, Open Genomics/Medicine, and More!
bioView3D is an open source and cross-platform application intended for biologists to visualize 3D stack (laser scanning confocal, etc.) imagery. It runs on Windows, MacOS X and Linux. Features include: - Cross-platform with binaries for Windows, Mac, Linux - Reads many bio image and video formats - Reads meta-data from BioRad PIC, TIFF, Metamorph STK (uncompressed and LZW compressed), Fluoview TIFF, Carl Zeiss LSM 5, PSIA TIFF, Nanoscope II/III - Has two modes of rendering: textures and voxels - On-the-fly 3D visualization (mapping/enhancement) of multi-channel data - Export of fly-over video to several popular formats: QuickTime, WMV, AVI, Flash, MPEG1/2/4 - Visualization of graphical annotations: XML GObjects Sponsors: This work is supported in part by an NSF infrastructure award No. EIA-0080134 and IIS-0808772.
A markup language and a set of technologies for capturing, storing and operationalizing structured biological knowledge. It also makes the knowledge available to other applications, such as the GTP, as a navigable network of biological facts. The BEL Framework assembles biological facts recorded using BEL syntax. BEL is a use-neutral format for unambiguously capturing biological entities and their inter-relationships and associating them with external vocabularies and ontologies. To facilitate context-based analysis, BEL syntax captures causal (e.g., AKT1 phosphorylates SKP2 at serine 72) and correlative relationships (e.g., increased LRG1 levels in serum are correlated with ovarian cancer) along with the experimental context in which the relationships were observed (e.g., AKT1 phosphorylates SKP2 at serine 72 in HeLa cells) and citations in which the peer reviewed knowledge has been reported (Pubmed ID 19270695 illustrates AKT1 phosphorylation of SKP2 and Pubmed ID 20831812 discusses the correlation between LRG1 and ovarian cancer). The BEL Framework provides an environment for managing and operationalizing biological facts stored in the BEL format (BEL document) and consists of the following components: * A user-friendly, web-based, knowledge-capture and knowledge-management application * A compiler that can assemble composite knowledge networks from multiple sources containing BEL statements from the BEL document store * A portable storage format for compiled BEL statements * Application Programming Interfaces (APIs) to allow applications such as the GTP to access and use the knowledge The BEL Framework is unique in that it is designed to deal with the fundamental contradictions and ambiguities associated with assimilating scientific findings from disparate biological experiments and quality issues associated with manual and algorithm-driven collation methods. Following eight years of development and proprietary use, BEL has proven to be an intuitive and effective language for scientists, supporting the creation of a large knowledgebase used in the interpretation of ''omics data sets via causal relationship-based analytics. BEL and supporting tools are now being made publicly available to the research community through the introduction of the BEL Web Portal. The BEL Web Portal provides public access to BEL language specifications, documentation, knowledge representation examples, and BEL software tools.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19,2022. The BAMS Thesaurus is a part of the larger BAMS The Foundational Model of Connectivity (FMC). The principle of constructing the resource are: 1. Systematic attempts to produce internally consistent classifications and taxonomies require theoretical frameworks for deciding between alternatives. 2. Alternate classification and taxonomy schemes are always possible and must be accommodated. 3. The FMC is based on evidence, not authority. All components are justified by reference to the best observational or experimental evidence from the literature, combined with reference to priority when possible, not by undocumented statements from textbooks, the Web, or elsewhere. 4. The FMC is based on evolving evidence and concepts, revisions are based on enforced rules, and versioning is systematic and historical. The first version of FMC and the foundation of this online version was published in Swanson & Bota (2010). Please cite this reference whenever any part of the FMC is used in any way. This online version of FMC has the following main parts: 1. Thesaurus, which includes an alphabetical list of all concepts and terms used in FMC to date. The preferred terms are in bold. Clicking on each term of the Thesaurus will retrieve its definition, reference, list of synonyms, and a comment form that can be used by registered users. 2. References, which includes an alphabetical list of the literature used to construct FMC. Listed references are associated with the definitions included in the Thesaurus, and PubMed links. 3. Search form that can be used to search for terms defined in FMC, included in their definitions, their abbreviations, and references (search by authors). We strongly recommend to read FMC rules and notations before starting to use the online version.
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 October 4, 2017.<br/><br/>A sub-project of the Cell Centered Database (http://ccdb.ucsd.edu) providing a public repository for animal imaging data sets from MRI and related techniques. The public AIDB website provides the ability for browsing, visualizing and downloading the animal subjected MRI data. The AIDB is a pilot project to serve the current need for public imaging repositories for animal imaging data. The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy. The AIDB data model is modified from the basic model of the CCDB where microscopic images are combined to make 2D, 3D and 4D reconstructions. The CCDB has made available over 40 segmented datasets from high resolution magnetic resonance imaging of inbred mouse strains through the prototype AIDB. These data were acquired as part of the Mouse BIRN project by Drs. G. Allan Johnson and Robert Williams. More information about these data can be found in Badea et al. (2009) (Genetic dissection of the mouse CNS using magnetic resonance microscopy - Pubmed: 19542887)
Software application to create gene maps using either radiation hybrid data or linkage data (entry from Genetic Analysis Software)
EyeBrowse displays expressed sequence tag (EST) cDNA clones from eye tissues (derived from NEIBank and other sources) aligned with current versions of the human, rhesus, mouse, rat, dog, cow, chicken, or zebrafish genomes, including reference sequences for known genes. This gives a simplified view of gene expression activity from different parts of the eye across the genome. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAT search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank. For mouse, there is custom track data for ChIP-on-Chip of RNA-Polymerase-II during photoreceptor maturation.<BR
An integrated exploration of biomedical literature and data. An anatomy viewer can be accessed and searches of PubMed literature are visualized as to the anatomical regions that they effect. PubAnatomy takes advantage of the 25-micron voxel level mouse brain structure annotation generated by the Allen Brain Institute and integrates Allen Brain Atlas gene expression data, relationships between brain regions and diseases for more efficient exploration of Medline database and gene expression data.