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http://ajp.psychiatryonline.org/audio.aspx
An audio summary of highlights and key articles from each issue of The American Journal of Psychiatry. Users may subscribe to the podcast to get automatic updates with each issue or download each issue''s audio file individually.
Proper citation: American Journal of Psychiatry Podcasts (RRID:SCR_007070) Copy
The REasons for Geographic and Racial Differences in Stroke (REGARDS) project, sponsored by the National Institutes of Health (NIH), is a national study focusing on learning more about the factors that increase a person''s risk of having a stroke. REGARDS is an observational study of risk factors for stroke in adults 45 years or older. 30,239 participants were recruited between January 2003 and October 2007. They completed a telephone interview followed by an in-home physical exam. Measurements included traditional risk factors such as blood pressure and cholesterol levels, and an echocardiogram of the heart. At six month intervals, participants are contacted by phone to ask about stroke symptoms, hospitalizations and general health status. The study is ongoing and will follow participants for many years. The purpose of the REGARDS project is to understand why people in some parts of the country develop more strokes than people in other parts of the country, and why blacks develop more strokes than whites. We hope to learn how to reduce the number of people having strokes.
Proper citation: REGARDS - REasons for Geographic and Racial Differences in Stroke (RRID:SCR_007228) Copy
http://medgen.ugent.be/rtprimerdb/
Database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridization Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimization, and to introduce a certain level of uniformity and standardization among different laboratories. Researchers are encouraged to submit their validated primer and probe sequence, so that other users can benefit from their expertise. The database can be queried using the official gene name or symbol, Entrez or Ensembl Gene identifier, SNP identifier, or oligonucleotide sequence. Different options make it possible to restrict a query to a particular application (Gene Expression Quantification/Detection, DNA Copy Number Quantification/Detection, SNP Detection, Mutation Analysis, Fusion Gene Quantification/Detection, Chromatin immunoprecipitation (ChIP)), organism (Human, Mouse, Rat, and others) or detection chemistry.
Proper citation: RTPrimerDB- The Real-Time PCR and Probe Database (RRID:SCR_007106) Copy
http://www.bmu.psychiatry.cam.ac.uk/software/
Suite of programs developed for fMRI analysis in a Virtual Pipeline Laboratory facilitates combining program modules from different software packages into processing pipelines to create analysis solutions which are not possible with a single software package alone. Current pipelines include fMRI analysis, statistical testing based on randomization methods and fractal spectral analysis. Pipelines are continually being added. The software is mostly written in C. This fMRI analysis package supports batch processing and comprises the following general functions at the first level of individual image analysis: movement correction (interpolation and regression), time series modeling, data resampling in the wavelet domain, hypothesis testing at voxel and cluster levels. Additionally, there is code for second level analysis - group and factorial or ANOVA mapping - after co-registration of voxel statistic maps from individual images in a standard space. The main point of difference from other fMRI analysis packages is the emphasis throughout on the use of data resampling (permutation or randomization) as a basis for inference on individual, group and factorial test statistics at voxel and cluster levels of resolution.
Proper citation: Cambridge Brain Activation (RRID:SCR_007109) Copy
http://weizhong-lab.ucsd.edu/cd-hit/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CD-HIT (RRID:SCR_007105) Copy
http://ncmir.ucsd.edu/downloads/combine_rts2000.shtm
Software program that performs the auto-alignment and the composition of images to create the mosaic.
Proper citation: Combine RTS2000 (RRID:SCR_007104) Copy
This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The name 4DXpress stands for expression database in 4D. The 4D (four dimensions) of 4DXpress can be interpreted either as: 3 spatial dimensions plus time, or as 1. species 2. gene 3. developmental stage 4. anatomical structure. The major focus of this database lies in cross species comparison. The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments. Data was integrated from several species specific expression pattern databases, such as ZFIN, BDGP, GXD, MEPD as well as directly submitted by researchers of the participating groups at EMBL. The 4DXpress database is a project within the Centre for Computational Biology at EMBL. It is developed by Yannick Haudry, Thorsten Henrich and Ivica Letunic and coordinated by Thorsten Henrich. Hugo Berube is developing the 4D ArrayExpress Data Warehouse at EBI for integrating in situ data with microarray data.
Proper citation: Expression Database in 4D (RRID:SCR_007066) Copy
http://purl.bioontology.org/ontology/EP
Ontology that contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels.
Proper citation: Cardiac Electrophysiology Ontology (RRID:SCR_007065) Copy
Bone Marrow Donors Worldwide (BMDW) is the continuing effort to collect the HLA phenotypes of volunteer stem cell donors and cord blood units, and is responsible for the co-ordination of their worldwide distribution. Participants are 63 stem cell donor registries from 44 countries, and 43 cord blood banks from 25 countries. The current number of donors and cord blood units in the BMDW database is: 14,605,618 (14,178,976 donors and 426,642 CBU''s The original goal to collect the HLA phenotypes of volunteer stem cell donors and cord blood units, and to co-ordinate their world-wide distribution remain their primary goals. But new initiatives have been added: - To maximise the chance of finding a stem cell donor or cord blood unit by providing access to all stem cell donors and cord blood units available in the world. - To minimise the effort required for stem cell donor or cord blood unit searches: only registries with potential stem cell donors or cord blood units need to be contacted. - To provide an estimate of the chance of finding a stem cell donor or cord blood unit for a given patient. - To provide advanced search programs to identify partially matched stem cell donors or cord blood units. - To facilitate search advice requests via the Internet. - To facilitate improvements in family search strategies. - To provide relevant general information for the benefit of the patient. - To provide statistics on the increase of different registries, the number of DNA typed donors, etc. Sponsors: Bone Marrow Donors Worldwide is an initiative of the Immunobiology Working Party of the European Group of Blood and Marrow Transplantation (EBMT) in 1988. Keyworss: Bone marrow, Donor, Cell, Phenotype, Stem cell, Cord blood unit,
Proper citation: Bone Marrow Donors Worldwide (RRID:SCR_007186) Copy
http://brown.edu/academics/molecular-pharmacology-physiology-and-biotechnology/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 20, 2021. Department of Molecular Pharmacology, Physiology, and Biotechnology has closed, effective June 30, 2021. Department of Molecular Pharmacology, Physiology and Biotechnology is basic science department within Brown Medical School, and is full participant in undergraduate based Program in Biology within Division of Biology and Medicine at Brown University.
Proper citation: Brown University Alpert Medical School Department of Molecular Pharmacology Physiology and Biotechnology (RRID:SCR_007222) Copy
Goal of Behavioral Neuroscience Program is to provide student with broad and deep knowledge of physiological and biological factors that control and affect behavior. Through close and personalized student mentor relationship we try to instill in student appreciation for programmatic problem oriented, rather than technique oriented, research. Program provides training toward the PhD for approximately 20 students at time. All students are expected to master core of theoretical and research methods, as well as to become skilled in conduct of their own research. In addition, students tailor their education to fit their own interests and professional goals through selection of appropriate elective courses and research projects.
Proper citation: University at Buffalo Department of Behavioral Neuroscience Program (RRID:SCR_007100) Copy
For more than 75 years, the division of biology has provided many of the major research advances that have made biology the premier science of the 21st century, and has trained many of the world''s most eminent biologists. The division at present has 38 professors of various ranks, who in their classes and laboratories have approximately 100 undergraduates, 100 graduate students, and 160 postdoctoral scholars, as well as more than 250 staff members. We occupy parts or all of seven buildings on the Caltech campus; we also operate a marine laboratory 50 miles from campus. Each building is devoted to state-of-the-art educational facilities and cutting-edge laboratories. We have three major research emphases: Structural, Molecular and Cell Biology; Developmental and Regulatory Biology; and Molecular, Cellular and Integrative Neuroscience. In each area we are trying to solve one of the great problems of modern biology: How do the proteins and other components of cells interact to provide a marvelous nanomachine of more than 100,000 integrated parts, a machine that has numerous extraordinary functions and can reproduce itself? How does a single cell become, by division and formation of new cell types, an entire multicellular organism, which in the case of humans has thousands of different cell types and more than 1 trillion different cells in specific places, communicating to form complex organs? How does the brain, the most complex organ of all, work to allow calculations beyond those of any computer, as well as to demonstrate amazing sensory capabilities, emotions, and consciousness?
Proper citation: California Institute of Technology; Division of Biology (RRID:SCR_007221) Copy
http://purl.bioontology.org/ontology/GRO-CPGA
A structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology, http://bioportal.bioontology.org/ontologies/1587.
Proper citation: Cereal Plant Gross Anatomy Ontology (RRID:SCR_007061) Copy
http://bayesiananalysis.wustl.edu
Welcome to the Bayesian Analysis of Common NMR Problems software home page. This Bayesian analysis software is a series of programs with a Java interface that use Bayesian probability theory to solve common data analysis problems that occur in the sciences and in NMR in particular. Click here for a complete list of the applications addressed. The programs that run the various Bayesian analysis, the server software, were developed at Washington University by Dr. G. Larry Bretthorst and the Java language client interface was developed by Dr. Karen Marutyan. The combination of the server and client software is called the Bayesian Analysis of Common NMR Problems software. However, this name is slightly misleading because this software can analyze data from many different sources, not just NMR data. Additionally, unlike the previous interface to this software, this new interface does not require the user to have access to any specialized NMR software, i.e., this interface is completely independent of Varian''s VnmrJ, although the interface can load and process data from a Varian spectrometer. Sponsors: This resource is supported by the Washington University in St. Louis. Keywords: Analysis, Software, Java, Theory, Science, NMR, Server, Data, Spectrometer,
Proper citation: Bayesian Analysis of Common NMR Problems (RRID:SCR_007182) Copy
Public university in Reading, Berkshire, England. It was founded in 1892 as University College, Reading, a University of Oxford extension college.
Proper citation: University of Reading; Reading; United Kingdom (RRID:SCR_007135) Copy
http://biodata.mshri.on.ca/osprey/servlet/Index
Osprey is a software platform for visualization of complex interaction networks. Osprey builds data-rich graphical representations from Geno Ontology (GO) annotated interaction data maintained by The Grid. The following list describes some of the important characteristics of the Osprey Network Visualization System: * Portability ( cross platform availability ) o Osprey is available on almost all Platforms that support the latest Java Plugin * Tools for Biological Analysis o Osprey provides many features such as network filters, connectivity filters, advanced layouts, and dataset superimposing which are extremely useful to biologists who are interested in analyzing their data * Powerful Support Database o Integrated with Osprey is a powerful database of interactions and annotation, see section 8. The GRID ( The General Repository of Interaction Datasets ). * Ease of use o Osprey provides an extremely user friendly interface for working with interaction data * Online Database Add-on Ability o Osprey can be incorporated as a standard visualization tool with online databases such as The GRID * Support for figures o Osprey networks can be saved in SVG, PNG and JPG format so they can be used with image programs Sponsors: Development of Osprey was funded by a grant from the Canadian Institutes of Health Research.
Proper citation: Osprey: Network Visualization System (RRID:SCR_007138) Copy
http://bioinf.cs.ucl.ac.uk/software_downloads/biorat/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1,2023. An information extraction (IE) tool specifically designed to perform biomedical IE and which is able to locate and analyze both abstracts and full-length papers. BioRAT is a Biological Research Assistant for Text mining, and incorporates a document search ability with domain-specific IE.
Proper citation: BioRAT (RRID:SCR_007099) Copy
Databases that accept and provide access to paleomagnetic and rock magnetic data. The paleomagnetic data range from individual measurements to specimen, sample or site level results, including a wide variety of derived parameters or associated rock magnetic measurements. The rock magnetic database includes data collected during rock magnetic experiments on remanence, anisotropy, hysteresis and susceptibility. The MagIC Console Software provides an effective environment in Microsoft Excel where users can collate and prepare their paleomagentic and rock magnetic data for uploading in the Online MagIC Database.
Proper citation: Magnetics Information Consortium (RRID:SCR_007098) Copy
Database containing the DNA sequence and annotation of the entire human chromosome 7, encompassing nearly 158 million nucleotides of DNA and 1917 gene structures, are presented; the most up to date collation of sequence, gene, and other annotations from all databases (eg. Celera published, NCBI, Ensembl, RIKEN, UCSC) as well as unpublished data. To generate a higher order description, additional structural features such as imprinted genes, fragile sites, and segmental duplications were integrated at the level of the DNA sequence with medical genetic data, including 440 chromosome rearrangement breakpoints associated with disease. The objective of this project is to generate a comprehensive description of human chromosome 7 to facilitate biological discovery, disease gene research and medical genetic applications. There are over 360 disease-associated genes or loci on chromosome 7. A major challenge ahead will be to represent chromosome alterations, variants, and polymorphisms and their related phenotypes (or lack thereof), in an accessible way. In addition to being a primary data source, this site serves as a weighing station for testing community ideas and information to produce highly curated data to be submitted to other databases such as NCBI, Ensembl, and UCSC. Therefore, any useful data submitted will be curated and shown in this database. All Chromosome 7 genomic clones (cosmids, BACs, YACs) listed in GBrowser and in other data tables are freely distributed.
Proper citation: Chromosome 7 Annotation Project (RRID:SCR_007134) Copy
http://eurofung.net/index.php?option=com_content&task=section&id=3&Itemid=4
The Eurofung project is a Coordination Action with the aim of developing a strategy to build up and maintain an integrated, sustainable European genomic database required for innovative genomics research of filamentous fungal model organisms of interest. This database will become a crystallization point for related systems and then could be integrated and conserved in a central European genomic database. The consortium counts 32 member laboratories, three of which have partner status. A Fungal Industrial Platform (FIP) of 13 members is also associated with the project. The project focuses on several filamentous fungi for different reasons. Aspergillus nidulans has a long record of use as a fungal model organism. Aspergillus niger, Trichoderma reesei and Penicillium chrysogenum are important cell factories used for the production of enzymes and metabolites including compounds such as Beta-lactams with benefits to human health. The human pathogen Aspergillus fumigatus serves not only as a model pathogen, but becomes more and more a serious threat to human health. The project contributes to create the conditions and facilities within Europe to widely apply all genomics technologies in filamentous fungal research. This will greatly expand our knowledge about filamentous fungi. This new genomics information will thus be beneficial to European biotechnology industries and help to improve the prevention and treatment of fungal disease. Expected results: The main results expected from this project are: - The contribution of the community to the manual annotation of important fungal genomes through annotation jamborees. - The realization of an integrated sustainable fungal genomic database through collaboration with bioinformatics centers and incorporation of the community data. - The realization of a fungal genomics knowledge base for the Eurofungbase community and the European fungal biotech industry through meetings, workshops and web-based information. - Intensified collaboration between the members of the network including the participating industries, thus strengthening the infrastructure for high quality fungal genomics research in Europe and furthermore determining joint research targets for the future. -Individualized training of a next generation of young scientists in fungal genomics and biotechnological research.
Proper citation: Eurofungbase (RRID:SCR_007094) Copy
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