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Founded in 1985, the San Diego Supercomputer Center (SDSC) enables international science and engineering discoveries through advances in computational science and data-intensive, high-performance computing. SDSC is considered a leader in data-intensive computing, providing resources, services and expertise to the national research community including industry and academia. The mission of SDSC is to extend the reach of scientific accomplishments by providing tools such as high-performance hardware technologies, integrative software technologies, and deep interdisciplinary expertise to these communities. From 1997 to 2004, SDSC extended its leadership in computational science and engineering to form the National Partnership for Advanced Computational Infrastructure (NPACI), teaming with approximately 40 university partners around the country. Today, SDSC is an Organized Research Unit of the University of California, San Diego with a staff of talented scientists, software developers, and support personnel. A broad community of scientists, engineers, students, commercial partners, museums, and other facilities work with SDSC to develop cyberinfrastructure-enabled applications to help manage their extreme data needs. Projects run the gamut from creating astrophysics visualization for the American Museum of Natural History, to supporting more than 20,000 users per day to the Protein Data Bank, to performing large-scale, award-winning simulations of the origin of the universe or how a major earthquake would affect densely populated areas such as southern California. Along with these data cyberinfrastructure tools, SDSC also offers users full-time support including code optimization, training, 24-hour help desk services, portal development and a variety of other services. As one of the NSF's first national supercomputer centers, SDSC served as the data-intensive site lead in the agency's TeraGrid program, a multiyear effort to build and deploy the world's first large-scale infrastructure for open scientific research. SDSC currently provides advanced user support and expertise for XSEDE (Extreme Science and Engineering Discovery Environment) the five-year NSF-funded program that succeeded TeraGrid in mid-2011.

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• SciCrunch
• 17 years ago - by Anonymous

The San Diego Psychiatric Society is a local medical specialty society. It is the district branch of the American Psychiatric Association and the California Psychiatric Association. The physician members specialize in the diagnosis and treatment of mental and emotional disorders and substance abuse. The San Diego Psychiatric Society's organizational objectives include the advancement and improvement of care for persons with mental illness through public information, education, and awareness programs and material. The society represents over 400 psychiatrists, who are the primary mental health advocates for quality patient care. The organization works to improve the public's awareness of mental illness and increase legislative and financial support of psychiatric care. Members serve in community mental health organizations, and advise the legislature on mental health issues.

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• SciCrunch
• 17 years ago - by Anonymous

The San Diego County Medical Society (SDCMS) is a non-profit organization designed to address San Diego healthcare needs for all patients and physicians through innovation, education and service. The SDCMS Foundation is advancing several innovative programs and initiatives: - The Emergency Department Medical Home (EDMH) Project matches uninsured patients in the emergency department with public and private medical coverage and establishes a medical home for them at local community health centers. - Project Access San Diego (PASD) is a program that connects eligible, low-income, uninsured patients with physicians who provide deeply discounted or pro bono care. - The SDCMS Foundation has also established five medical student scholarships at the UCSD School of Medicine.

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• SciCrunch
• 17 years ago - by Anonymous

Public research university in Edmonton, Alberta, Canada that offers degree programs in a variety of fields including business, arts, education, engineering, nursing, and medicine.

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• SciCrunch
• 16 years ago - submitted by Stephen Larson

The Wellcome Trust is the largest charity in the UK. We fund innovative biomedical research, in the UK and internationally, spending over 600 million each year to support the brightest scientists with the best ideas. The Wellcome Trust is an independent charity funding research to improve human and animal health. Established in 1936 and with an endowment of around 13 billion, it is the UK's largest non-governmental source of funds for biomedical research. What we do We spend over 600 million every year both in the UK and internationally achieving our mission. Funding We support many different kinds of research and activities with the ultimate aim of protecting and improving human and animal health. This support is not restricted to UK researchers - we devote significant funding to international research too. Biomedical science Our biomedical science funding enables the investigation of health and disease in humans and animals. This includes funding for scientists, clinicians and veterinarians at different career stages. Technology transfer Our technology transfer funding supports the development of innovative, early-stage projects with potential medical applications. Medical humanities Our medical humanities funding supports research into biomedical ethics and the history of medicine. Public engagement Our public engagement funding promotes interest, excitement and debate around science and society. Capital funding Our capital funding is for large-scale construction or refurbishment projects in the UK that support science, public engagement, medical history, or the activities of learned societies. Strategic awards Our Strategic Awards provide flexible funding that adds value to excellent research groups. Managing a grant This area contains information and resources to help you manage a grant once it has been awarded, from the grant-start certificate to the end-of-grant report and beyond. Education Resources Teaching and education Resources to help promote contemporary science in the curriculum and to enable young people to engage with biomedical science. Tree of Life Darwin200 Big Picture Science Learning Centres Scientific animations Creative Encounters Courses and conferences Trust-run conferences, courses and workshops for scientists, historians, ethicists, social scientists, teachers, healthcare professionals and policymakers, held in the UK and overseas. Advanced Courses Scientific conferences Conference centres Retreats History of medicine Biomedical ethics Biomedical resources Tools, databases and information to support different areas of biomedical research, including genomics, post-genomics and developmental biology. Animal research Genomics Model organisms Microorganisms Post-genomics Tissues Researcher support Support and advice for all kinds of engagement activities to help you communicate your work in the most effective and rewarding way possible. About researcher support National opportunities Regional opportunities Highlights Publications Browse a wealth of publications covering all aspects of the work we fund. Wellcome Trust websites Explore a range of sites covering key biomedical topics and our public engagement activities.

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• SciCrunch
• 17 years ago - by Anonymous

The Salk Institute's Laboratory for Cognitive Neuroscience (LCN) is dedicated to the study of the neural and genetic underpinnings of language and cognition. The LCN organizes its resources into two research foci: Linking Gene, Brain, and Cognition, and Language, Modality and the Brain. Linking Gene, Brain, and Cognition: Behavioral Neurogenetics: - This research is designed to increase the understanding of genetically based disorders, to investigate the consequences of genetic alterations on the development of the brain, and to explore the resulting alteration of cognitive capabilities. Language, Modality, and the Brain: - The focus of this research is to obtain a greater understanding of how language and cognition are represented in the brain. Sponsors: This resource is supported by LCN.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This lab is investigating the molecular details of how potassium ion channels open and close (i.e. gating), the cellular regulation of potassium channels in nerve cells, and more recently, their role in drug addiction and mental disorders. There are currently two related areas of focus in the lab. One main area of research is investigating the G protein regulation of GIRK channels, utilizing structural, biochemical and electrophysiological strategies. The other area extends from the G protein regulation experiments to studies that examine the role of GIRK channels in the neural response to drugs of abuse, utilizing biochemical, electrophysiological and behavioral strategies.

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• SciCrunch
• 17 years ago - by Anonymous

Database and web interface developed to store, update and distribute genome sequence data and gene expression data. ASAP was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis. The ASAP database includes multiple genome sequences at various stages of analysis, and gene expression data from preliminary experiments. Use of some of this preliminary data is conditional, and it is the users responsibility to read the data release policy and to verify that any use of specific data obtained through ASAP is consistent with this policy. There are four main routes to viewing the information in ASAP: # a summary page, # a form to query the genome annotations, # a form to query strain collections, and # a form to query the experimental data. Navigational buttons appear on every page allowing users to jump to any of these four points., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 16 years ago - by Anonymous

MedMOLE improves the comprehension of microarray experimental results by grouping co-regulated genes on the basis of the informational content of MEDLINE documents. The tool relies on two components: a gene name extractor and a mining algorithm. The name extractor is based on existing dictionaries of gene names and aliases. The mining algorithm analyses the co-occurrences of words in the selected documents in order to automatically interpret the context, identify where the gene names appear, and map documents/genes into functional classes. DNA microarray technology is a high throughput method for gaining information on gene function. This large amount of data can be analyzed to identify groups of genes that share common expression characteristics, but the obtained results provide little information regarding the presence of functional biological correlations of genes within clusters. The published literature, on the other hand, provides a potential source of information to assist in interpretation of clustering results. We have developed a tool (MedMOLE) that improves the comprehension of microarray experimental results by grouping co-regulated genes on the basis of the informational content of MEDLINE documents. The tool relies on two components: a gene name extractor and a mining algorithm. The name extractor is based on existing dictionaries of gene names and aliases. The mining algorithm analyses the co-occurrences of words in the selected documents in order to automatically interpret the context, identify where the gene names appear, and map documents/genes into functional classes. Microarray transcriptional profiling is a powerful tool used in the study of transcriptional control mechanisms. An important point in the analysis of microarray data is the identification of hidden correlations between the differentially expressed genes generated upon some kind of cell stimulus. Functional annotation is an important topic for microarray data mining, however this is quite limited for complex organisms (e.g. H. sapiens, M. musculus) where a limited number of genes are well characterized and annotated. However, functional data are rapidly accumulating in the scientific literature and most of them are collected by MEDLINE, a database that contains over 11,000,000 biomedical journal citations. A microarray analysis usually generates few hundred of differentially expressed genes and, after statistical validation of the data and transcription profiles clustering, biologists try to identify genes functionally correlated by scientific literature analysis. Even if some tools have been recently developed to simplify information extraction on the MEDLINE database, reading every article requires too much time and labor. Therefore, it is necessary to have some kind of intelligent information extracting system that recognizes gene names inside the texts. The analysis of text documents (e.g. MEDLINE abstracts) can be approached by two different points of view: text mining and information extraction (I.E.). The former aims at the automatic identification of groups of documents that share the same patterns of words, and thus refer to the same topic or theme. The latter aims at providing a structured representation of the textual information and requires a pre-definition of entities and relationships to be looked for inside texts. Thus while the text mining algorithms are general purpose, the information extraction algorithms are specific to the application. Furthermore, the text mining approach is explorative and enables the discovery of new concepts and relations while information extraction only extracts those elements that have already been defined. These two approaches can be integrated: information extraction tools generate databases that can be analyzed using data mining techniques, and, on the other side, text mining tools might take advantage of specific domain information extracted using I.E. techniques. MedMOLE takes advantage of text mining techniques, and simplifies the extraction of functional knowledge by literature abstracts directly/indirectly related to differentially expressed genes identified by microarray technology. Sponsors: This work was partially supported by PRIN 2001 and FIRB 2002 grants.

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• SciCrunch
• 17 years ago - by Anonymous

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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• SciCrunch
• 17 years ago - by Anonymous

Software tool for deriving data-driven alternative splicing (AS) events from RNA-seq data. It analyses the transcripts built by Cufflinks or Scripture and outputs AS event annotations which is compatible with MISO. It can be used for annotating novel AS events from a well-annotated species such as human. It can also be used for species of which known AS event annotation is not available. The current release (v0.1) supports skipped exon events only.

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• SciCrunch
• 13 years ago - by Anonymous

Laboratory that aims to understand the function of the cortical microcircuit by reverse-engineering of the cortical microcircuit using the mouse neocortex in vitro and in vivo as their experimental preparations. The techniques applied are electrophysiology, anatomy, and a variety of optical methods, including infrared-DIC, voltage- and ion-sensitive dye imaging with confocal, two-photon and second harmonic microscopy. They also use laser uncaging, biolistics, electroporation, electron microscopy and numerical simulations, and make extensive use of genetically modified mouse strains. They focus is on two major questions: (1) What is the function of dendritic spines? (2) What are the multicellular patterns of activity under spontaneous or evoked activation of the circuit? Resources include: * Cell Reconstructions: Cell Database, PDF Images, .DAT Files * Circuit Diagrams: Full Circuit Diagram, Inhibitory Circuit Diagram, Excitatory Circuit Diagram, Simplified Circuit Diagram, Layer to Layer Simplified Circuit, Circuit diagram references

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• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. LinkHub is a software system using Semantic Web RDF that manages the graph of identifier relationships and allows exploration with a variety of interfaces. It leverages Semantic Web standards-based integrated data to provide novel information retrieval to identifier-related documents through relational graph queries, simplifies and manages connections to major hubs such as UniProt, and provides useful interactive and query interfaces for exploring the integrated data. For efficiency, it is also provided with relational-database access and translation between the relational and RDF versions. LinkHub is practically useful in creating small, local hubs on common topics and then connecting these to major portals in a federated architecture; LinkHub was used to establish such a relationship between UniProt and the North East Structural Genomics Consortium. LinkHub also facilitates queries and access to information and documents related to identifiers spread across multiple databases, acting as connecting glue between different identifier spaces. LinkHub is available at hub.gersteinlab.org and hub.nesg.org with supplement, database models and full-source code. Sponsors: Funding for this work comes from NIH/NIGMS grant P50 GM62413-01, NIH grant K25 HG02378, and NSF grant DBI-0135442.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS OUT OF SERVICE, documented on April 5, 2017, A software package for the analysis of ChIP-seq data with negative control., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. R software library for genome-wide association analysis for quantitative, binary and time-till-event traits.

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• SciCrunch
• 13 years ago - by Anonymous

It aims to help researchers to utilize information more efficiently from the published association data. This database is freely accessible only for academic users under the GNU GPL PADB indexes the sentences containing "associat*" or "case-control*" or "cohort*" or "meta-analysis" or "systematic review" or "odds ratio*" or "hazard ratio*" or "risk ratio*" or "relative risk*" from PubMed abstracts and automatically extracts the numeric values of odds ratios, hazard ratios, risk ratios and relative risks data when available. PADB automatically identifies HUGO official symbols of human genes using NCBI Entrez Gene data, and each gene is linked to the UCSC genome browser and International HapMap Project database. Furthermore, molecular pathways listed in BioCarta or KEGG databases can be accessed through the link using CGAP gene annotation data. Also, each record in PADB is linked to GAD or HPLD if it is available from those databases. Currently, (Last Update of Database Contents : Dec. 20, 2006) PADB indexes more than 1,500,000 abstracts including about 190,000 risk values ranging from 0.00001 to 4878.9 and 3,442 human genes related to 461 molecular pathways. Sponsors: This work was supported by the Brain Korea 21 Project for Medical Science, Yonsei University, Seoul, Korea and a faculty research grant of Yonsei University College of Medicine for 2006, Seoul, Korea.

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• SciCrunch
• 17 years ago - by Anonymous

Service and training support for academic, government, and private sector scientists worldwide in genomics, including laboratory experimentation, statistical analysis, and comprehensive bioinformatics support, including large-scale genome comparisons, algorithm and tools development, and database curation, annotation and hosting. The Centre for Applied Genomics hosts a variety of databases related to ongoing supported projects: *Autism Chromosome Rearrangement Database *Cystic Fibrosis Mutation Database *The Lafora Progressive Myoclonus Epilepsy Mutation and Polymorphism Database *Database of Genomic Variants *The Chromosome 7 Annotation Project *Human Genome Segmental Duplication Database *Non-Human Segmental Duplication Database Healthy control DNA samples from the Ontario Population Genomics Platform are available. The Biobanking and Databasing Facility provides DNA extraction from lymphoblasts, fibroblasts and other cell types, archiving of white cell pellets, preparation and immortalization of cell lines, and comprehensive databasing and tracking of samples and/or cell lines within the facility.

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• SciCrunch
• 14 years ago - by Anonymous

VA provides Internships, Postdoctoral Fellowships, and Practicum Training in many sites across the U.S. With about 470 internship positions at 93 locations and 260 postdoctoral fellowship positions at 65 sites funded each year, VA is the largest provider of training in Psychology in the nation. We have continued to expand our training opportunities and added 70 additional positions for the 2011-2012 academic year. These positions included additional internship and postdoctoral positions within existing training programs and the development of new internship programs in Boise ID, Canandaigua NY, Columbia SC, Huntington WV, Indianapolis IN, Madison WI, Philadelphia PA, Tuscaloosa AL, and West Palm Beach FL. In the meantime, the four internships started in 2008 (Anchorage AK, Asheville NC, Iowa City IA, and Richmond VA) have graduated their second classes and have now begun their third year. The internship program in Richmond is accredited through 2017. The other three programs do not yet have APA accreditation, but all have begun the accreditation process. In the interim, graduates of these programs will be eligible for employment as psychologists within the Department of Veterans Affairs just as are graduates from accredited programs. All existing VA Internship and many Postdoctoral Psychology training programs hold APA accreditation status.

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• SciCrunch
• 16 years ago - by Anonymous

The ArkDB database system aims to provide a comprehensive public repository for genome mapping data from farmed and other animal Species. The system also aims to provide a route in to genomic and other sequence from the initial viewpoint of linkage mapping, RH mapping, physical mapping or - possibly more importantly - QTL mapping data. Sponsors: ArkDB is funded by Biotechnology and Biological Sciences Research Council (BBSRC), UK. Cat, Chicken, Cow, Deer, Duck, Horse, Pig, Quail, Salmon, Sea Bass, Sheep, Turkey, QLT map, Linkage map, RH map, Farm animal, Genome map, Sequence, Mapping

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• SciCrunch
• 17 years ago - by Anonymous

A freely accessible on-line systems biology resource devoted to all aspects of protein modification, as well as other post-translational modifications. It provides valuable and unique tools for both cell biologists and mass spectroscopists. PhosphoSite is a human- and mouse-centric database. It includes features such as: viewing the locations of modified residues on molecular models; browsing and searching MS2 records by disease, tissue, and cell line; submitting lists of peptides to identify previously reported genes; searching by sub-cellular localization, treatment, tissues, cell types, cell lines and diseases, and protein types and protein domains; searching for experimentally-verified kinase substrates and viewing preferred substrate motifs; and viewing MS2 spectra for peptides and sites not previously published.

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• SciCrunch
• 17 years ago - by Anonymous