Curator Dashboard

Software tool designed for preparing, visualizing, and exploring human pedigree data used in genetic linkage studies. It converts pedigree and marker data into formats required by popular linkage analysis packages, provides powerful ways to query pedigree data sets, and produces Postscript pedigree drawings that are useful for rapid data review.

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• SciCrunch
• 13 years ago - by Anonymous

International society dedicated to advancing understanding of anatomical and functional organization of human brain using neuroimaging. Primary function of society is to provide educational forums for exchange of up-to-the-minute and groundbreaking research across neuroimaging methods and applications. OHBM achieves this through its member led committees and Annual Meeting that is held in different locations throughout the world.

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• SciCrunch
• 17 years ago - by Anonymous

Commercial company that develops and provides laboratory diagnostics and other medical research products.

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• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 27,2023. Biositemaps represent a mechanism for computational biologists and bio-informaticians to openly broadcast and retrieve meta-data about biomedical data, tools and services (i.e., biomedical resources) over the Internet. All Institutions with an interest in biomedical research can publish a biositemap.rdf file on their Internet site. The technology, developed by the Biositemaps Working Group of the NIH Roadmap National Centers of Biomedical Computing (NCBC), addresses (i) locating, (ii) querying, (iii) composing or combining, and (iv) mining biomedical resources. Each site which intends to contribute to the inventory instantiates a file on its Internet site biositemap.rdf which conforms to a defined RDF schema and uses concepts from the Biomedical Resource Ontology to describe the resources. Each biositemap.rdf file is simply a list of controlled metadata about resources (software tools, databases, material resources) that your organization uses or believes are important to biomedical research. The key enabling technologies are the Information Model (IM) which is the list of metadata fields about each resource (resource_name, description, contact_person, resource_type,...) and the Biomedical Resource Ontology (BRO) which is a controlled terminology for the resource_typeand which is used to improve the sensitivity and specificity of web searches. Biositemaps blend the features of Sitemaps (enabling efficient web-content exploration) and RSS Feeds (a mechanism for wide and effective news dissemination). As a hybrid between Sitemaps and RSS feeds, the Biositemap infrastructure facilitates a decentralized, portable, extensible and computationally tractable generation and consumption of meta-data about existent, revised and new resources for biomedical computation. Web browsers, crawlers and robots can discover, accumulate, process, integrate and deliver Biositemaps content to (human or machine) users in a variety of graphical, tabular, computational formats. Biositemaps content allows such web browsers to pool resource-associated metadata from disparate and diverse sites and present it to the user in an integrated fashion. The Biositemaps protocol provides clues, information and directives for all Biositemap web harvesters that point to the existence and content of such biomedical resources at different sites.

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• SciCrunch
• 17 years ago - by Anonymous

The CCMB was created to facilitate interdisciplinary research in computational medicine and biology and to forge collaborative relationships with faculty across campus and the US. Computational medicine and bioinformatics, is an emerging field that pursues biological questions using advanced computational technology such as complex merged datasets and powerful computing clusters. The Center currently has three components: The Bioinformatics Graduate Program (BGP), The Collaborative Computing & Data Unit, and The Interdisciplinary Research Program. Faculty from all areas of campus are affiliated with the center. The Bioinformatics Graduate Program (BGP) trains masters and Ph.D-level scholars, and oversees the research computing for four faculty members with partial appointments in the program. The Bioinformatics Graduate Program currently has 24 doctoral and 11 master-level students. The Collaborative Computing & Data Unit provides expert support for large cluster computing -- a necessary component for doing research in computational medicine and biology. This core also works with the UM Medical School and Office of the Vice President for Research (OVPR) to address long-term deficits in computing needs across campus. Finally, The Interdisciplinary Research Program oversees several NIH and state-funded projects, the largest being the National Center for Integrative Biomedical Informatics, whose goal is developing tools to facilitate biomedical research. The IDR also provides support to faculty applying for interdisciplinary grants in all areas of bioinformatics research.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Collects, authenticates, maintains and distributes cultures of microorganisms and cultured cells. Its aim is to promote and support the establishment of culture collections and related services, to provide liaison and set up an information network between the collections and their users, to organize workshops and conferences, publications and newsletters and work to ensure the long term perpetuation of important collections. The WFCC (through the activities of Professor Skerman, University of Queensland, Australia, and his colleagues in the 1960's) pioneered the development of an international database on culture resources worldwide. The result is the WFCC World Data Center for Microorganisms (WDCM). This data resource is now maintained at National Institute of Genetics (NIG), Japan and has records of nearly 476 culture collections from 62 countries. The records contain data on the organization, management, services and scientific interests of the collections. Each of these records is linked to a second record containing the list of species held. The WDCM database forms an important information resource for all microbiological activity and also acts as a focus for data activities among WFCC members.

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• SciCrunch
• 17 years ago - by Anonymous

Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.

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• SciCrunch
• 17 years ago - by Anonymous

Award-winning free and open access educational video lectures repository. The lectures are given by distinguished scholars and scientists at the most important and prominent events like conferences, summer schools, workshops and science promotional events from many fields of Science. The portal is aimed at promoting science, exchanging ideas and fostering knowledge sharing by providing high quality didactic contents not only to the scientific community but also to the general public. All lectures, accompanying documents, information and links are systematically selected and classified through the editorial process taking into account also users' comments.

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• SciCrunch
• 14 years ago - by Anonymous

PASS is a computer program which predicts the biological activity spectrum for a compound on the basis of its structural formula. The result of prediction is displayed for free. PASS Inet predicts 3678 pharmacological effects, mechanisms of action, mutagenicity, carcinogenicity, teratogenicity and embryotoxicity. PASS gives you hits in the following: - Finding most probable new leads with required activity spectra among the compounds from in-house and commercial data bases. - Revealing new effects and mechanisms of action for the old substances in corporate and private data bases. - Providing the basis for selection of the most prospective compounds for high throughput screening from the set of available samples. - Determining the assays that are more relevant for a particular compound. Sponsors: This work is supported by the Russian Foundation for Basic Research (Grant # 03-07-90282).

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• SciCrunch
• 17 years ago - by Anonymous

The mission of the VISN 4 MIRECC is the treatment and prevention of comorbid medical, mental health, and/or substance use disorders, with the aim of improving the health, quality of life, and outcomes of healthcare services for veterans with mental illness. This is accomplished through the integration of basic, clinical, and services research and educational and clinical programs. The objectives of this MIRECC are: * Develop new empirical knowledge that can be directly applied to improve the clinical care of veterans * Provide education to providers and trainees to enhance the delivery of high quality healthcare to veterans * Impact public health in terms of veterans' mental health and quality of life * Serve as a national resource in education, research, and treatment of patients with comorbidity, and as a replicable model of excellence in clinical and educational programs Examine causal factors in the development of comorbid conditions. Assess impact of comorbidity on: * the identification and classification of disorders * the development and implementation of treatments * access to treatment and the impact of treatments on outcomes Sponsors: This work is supported by the US Department of Veterans Affairs

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• SciCrunch
• 14 years ago - by Anonymous

Neuroscience software that stores the results of numerous tracer studies in a standardized format and provides various tools for performing summaries and comparisons of these studies.

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• SciCrunch
• 17 years ago - by Anonymous

Biomedical technology research center that develops and validates new imaging methods for detecting brain abnormalities in neurodegenerative diseases, including Alzheimer's disease, vascular dementia, frontotemporal dementia, Parkinson's disease, as well as epilepsy, depression, and other conditions associated with nerve loss in the brain. As people around the globe live longer, the impact of neurodegenerative diseases is expected to increase further with dire social and economical consequences for societies if no effective treatments are developed soon. The development at CIND is aimed to improve magnetic resonance imaging (MRI). The ultimate goal of the scientific program is to identify imaging markers that improve accuracy in diagnosing neurodegenerative diseases at early stages, achieve more reliable prognoses of disease progression, and facilitate the discovery of effective treatment interventions. In addition to addressing the general needs for studying neurodegenerative diseases, another focus of CIND concerns brain diseases associated with military service and war combat, such as post traumatic stress disorder (PTSD), brain trauma, gulf war illness and the long-term effects of these conditions on the mental health of veterans. The symbiosis between CIND and the Veterans Administration Medical Center in San Francisco makes this program uniquely suited to serve military veterans.

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• SciCrunch
• 17 years ago - by Anonymous

We are the center of excellence for research and education on the prevention, understanding, and treatment of PTSD. Our Center has seven divisions across the country. Although we provide no direct clinical care, our purpose is to improve the well-being and understanding of American Veterans. We conduct cutting edge research and apply resultant findings to: Advance the Science and Promote Understanding of Traumatic Stress. The National Center has emerged as the world's leading research and educational center of excellence on PTSD. Its vision is to be the foremost leader in information on PTSD and trauma; information generated internally through its extensive research program, and information synthesized from published scientific research and collective clinical experience that is efficiently disseminated to the field. The Center is organized to facilitate rapid translation of science into practice, assuring that the latest research findings inform clinical care; and translation of practice into science, assuring that questions raised by clinical challenges are addressed using rigorous experimental protocols. By drawing on the specific expertise vested at each separate division (e.g., behavioral, neuroscientific, etc.), the National Center provides a unique infrastructure within which to implement multidisciplinary initiatives regarding the etiology, pathophysiology, diagnosis and treatment of PTSD.

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• SciCrunch
• 15 years ago - by Anonymous

Portal for learning resources about the brain. It includes information and interactive images of transverse brain sections.

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• SciCrunch
• 17 years ago - by Anonymous

Resource that discusses MNI brain, and the difference between the MNI brain and the brain in the Talairach atlas. Approaches to converting MNI coordinates to Talairach coordinates and a few other methods for locating your activation are also presented.Matlab function that transforms MNI coordinates to Talaraich coordinates. The inverse function, tal2mni is also available.

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• SciCrunch
• 13 years ago - by Anonymous

Image acquisition software used to acquire images during magnetic resonance imaging.

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• SciCrunch
• 12 years ago - by Anonymous

Retrieve known single-nucleotide polymorphisms (SNPs) by position or by association with a gene; save, filter, analyze, display or export SNP sets; explore known genes using names or chromosome positions.

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• SciCrunch
• 13 years ago - by Anonymous

Web application for blogging on WordPress that allows users to annotate in the margins of an online text.

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• SciCrunch
• 16 years ago - by Anonymous

Biomedical technology research center that produces open-source software tools for biomedical image-based modeling, biomedical simulation and estimation, and the visualization of biomedical data. The Center works closely with software users and collaborators in a range of scientific domains to produce user-optimized tools and provides advice, technical support, workshops, and education to enhance user success. Biological projects and collaborations drive their development efforts, all with a single unifying vision: to develop the role of image-based modeling and analysis in biomedical science and clinical practice. The CIBC has a strong, ongoing emphasis on software simulation of bioelectric fields, with clinically oriented collaborations in cardiac defibrillation and the diagnosis/treatment of epilepsy. In addition, the CIBC has expanded in recent years to include applications of statistical shape analysis and three-dimensional visualization to mouse genetics and neuroimaging and applications of image and geometry processing to cell biology.

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• SciCrunch
• 17 years ago - by Anonymous

Software package that performs high-dimensional warping of brain images. Standard voxel-based analysis can be applied to these tissue density maps, in order to examine regional volumetrics, effects of disease, or correlations with clinical measurements. In order to make HAMMER as robust as possible to different acquisition protocols and conditions, they provide a distribution that assumes that images have been skull-stripped and segmented into gray matter, white matter, and ventricular CSF. We have other software tools that can perform these steps, including skull stripping, reorientation and reslicing, and segmentation tools. Importantly, they use 250 for WM, 150 for GM, 50 for Ventricles and 10 for CSF in the tissue-segmented brain images. Current modules used for group analysis: Labeling subject brain using a manually-labeled brain Model; Generating RAVENS map for each tissue (WM, GM, VN); Normalizing subject brain images

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• SciCrunch
• 17 years ago - by Anonymous