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Web portal that allows free access to supercomputing resources for large scale modeling and data processing. Portal facilitates access and use of National Science Foundation (NSF) High Performance Computing (HPC) resources by neuroscientists.
Proper citation: Neuroscience Gateway (RRID:SCR_008915) Copy
http://www.neuralsimulationlanguage.org/about.html
NSL, Neural Simulation Language, is a simulation system for large-scale general neural networks. NSL provides a simulation environment simplifying the task of modeling neural networks. In particular, NSL supports neural models having as basic data structure neural layers with similar properties and similar connection patterns, where neurons are modeled as leaky integrators with connections subject to diverse learning rules. Development of NSL has gone hand in hand with modeling of neural mechanisms underlying visuomotor coordination, with special emphasis on the analysis of data from anurans, monkeys, and humans. NSL follows an object-oriented design, providing higher level programming abstraction corresponding to neural elements. NSL provides system development tools, such as visualization capabilities and a run-time interpreter, which give the user powerful tools in developing and analyzing models. NSL has been widely used throughout the world for both teaching and research. simulation; software
Proper citation: Neural Simulation Language (RRID:SCR_007308) Copy
Database of hundreds of thousands of products submitted by reagent provider partners, and millions of webpages selected from reagent suppliers. All are organized according to genes, species, and reagent types (antibodies, recombinant proteins, ELISA, siRNA, cDNA clones, biochemicals, and others).
Proper citation: Labome (RRID:SCR_007384) Copy
His research interests cover many different questions in population genetics and molecular evolution. He considers himself an evolutionary geneticist, with strengths in computational biology and stochastic models. He has worked on frequency-dependent selection models, spatial genetic models, indel evolution models, sequence alignment, and phylogenetic models. His current research involves estimating indel rates and length distributions, applying population genetic models to phylogeny reconstruction, and finding de novo mutations and SNPs from next-gen sequencing of human genomes. In addition to running De Rerum Natura, Reed also manages the largest group blog on evolution, The Pandas Thumb. In addition he develops plugins and hacks for the Movable Type blogging software. He is an expert on dispatching MT under FastCGI and Lighttpd, as well as integrating it with jQuery. He was editor and designer of The Open Laboratory: The Best Science Writing on Blogs 2007. He is co-creator of Prof. Steve Steve. Partners. Movable Type Site Meter Melody Lulu
Proper citation: De Rerum Natura (RRID:SCR_008475) Copy
A long-term health research project which follows pregnant women and their offspring in a continuous health and developmental study. More than 14,000 mothers enrolled during pregnancy in 1991 and 1992, and the health and development of their children has been followed in great detail. The ALSPAC families have provided a vast amount of genetic and environmental information over the years which can be made available to researchers globally.
Proper citation: ALSPAC (RRID:SCR_007260) Copy
http://www.usc.edu/schools/medicine/research/institutes/igm/cpihd/
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. CPIHD is a novel Center that blends research and outreach targeting preterm infants and their families. Faculty of the Center work together to find solutions to the complex biomedical, psychological, and social problems associated with preterm delivery. The Center for Premature Infant Health and Development goals are to: discover the causes of health and developmental problems encountered by preterm infants; develop and disseminate optimal family-centered prevention, assessment, and intervention strategies to improve long-term outcomes for preterm infants and families; and eliminate racial disparities in adverse birth outcomes in our community. The missions of CPIHD are: conducting interdisciplinary, translational, and family-centered research; educating the next generation of researchers and practitioners serving preterm infants and their families; and providing community-based outreach to serve families of, and health care workers caring for, preterm infants.
Proper citation: Center for Premature Infant Health and Developement (RRID:SCR_008074) Copy
http://informedmedicaldecisions.org/
Mission The Foundation for Informed Medical Decision Making is a non-profit organization dedicated to assuring that people understand their choices and have the information they need to make sound decisions affecting their health and well being. To accomplish our mission: We promote understanding and adoption of informed medical decision-making. We organize and frame medical evidence in an unbiased manner to help people evaluate their options, particularly in instances where differences in individual preferences and perspectives are likely to affect personal choice. We sponsor research to expand knowledge of how to improve decision quality in health care. Medical Evidence The science of medical care is advancing at a rate that makes the delivery of quality patient-focused care an enormous challenge. New information about disease biology and genetics, rapid development of new tests and treatments, and the shift in disease from largely acute to largely chronic are all important contributing factors. Patient Perspective Medical research on practice variation indicates that patient perspectives are often less important in treatment decisions than factors having little to do with patients or their illnesses, such as geography, economics or supplier-induced demands. The Foundation brings the patient perspective into focus by interviewing real patients who can talk about the choices they made and why. Without the perspective of the patient, we cannot achieve a quality medical decision. Informed Medical Decisions The Foundation believes that it is the convergence of the two concepts: medical evidence and patient perspectives that create a truly informed decision in medical care. Funding The Foundation has worked in a unique partnership with Health Dialog since 1997. Health Dialog delivers patient support services to employers and health plans that are committed to providing excellence to their members or employees. As of July 2006, Health Dialog served seventeen million people through its contracts with healthcare insurers and corporations. Access to the Foundation''s decision support materials is a key benefit that Health Dialog''s clients receive. Health Dialog produces the Foundation''s new programs and distributes decision support materials and services to patients. A portion of Health Dialog''s revenue goes to the Foundation in the form of royalties to support the development of new decision support materials and research on how best to support patient decisions. The Foundation does not accept funding from any source that has a financial interest in any particular approach to medical testing or treatment. Foundation employees and clinical content experts do not accept support from companies that commercially market any kind of treatment or device that might be relevant to a program.
Proper citation: Foundation for Informed Medical Decision Making (RRID:SCR_008509) Copy
Commercial instrument and chemical vendor. Developer and manufacturer of specialized technological products for life science research and clinical diagnostics markets.
Proper citation: Bio-Rad Laboratories (RRID:SCR_008426) Copy
http://noble.gs.washington.edu/proj/sdp-svm/
A statistical framework for genomic data fusion is a computational framework for integrating and drawing inferences from a collection of genome-wide measurements. Each dataset is represented via a kernel function, which defines generalized similarity relationships between pairs of entities, such as genes or proteins. The kernel representation is both flexible and efficient, and can be applied to many different types of data. Furthermore, kernel functions derived from different types of data can be combined in a straightforward fashion. Recent advances in the theory of kernel methods have provided efficient algorithms to perform such combinations in a way that minimizes a statistical loss function. These methods exploit semidefinite programming techniques to reduce the problem of finding optimizing kernel combinations to a convex optimization problem. Computational experiments performed using yeast genome-wide datasets, including amino acid sequences, hydropathy profiles, gene expression data and known protein-protein interactions, demonstrate the utility of this approach. A statistical learning algorithm trained from all of these data to recognize particular classes of proteins--membrane proteins and ribosomal proteins--performs significantly better than the same algorithm trained on any single type of data. Matlab code to center a kernel matrix and Matlab code for normalization are available.
Proper citation: A statistical framework for genomic data fusion (RRID:SCR_007219) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2024. Software application for pedigree drawing (entry from Genetic Analysis Software)
Proper citation: Pedigree-Draw (RRID:SCR_008302) Copy
http://www.catstests.com/Product05.htm
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. CATs Card Sort is a free, general purpose card sorting program which allows the user to design sorting tasks similar to those described by Vigotsky (1934), Weigel (1941), and Grant and Berg (1948). Card sorting tasks have been shown to be particularly sensitive to frontal lobe dysfunction, but have also shown sensitivity to motor disorders, schizophrenia, chronic alcoholism, aging, and attention deficit disorder. The CATs Card Sort package provides extensive flexibility in the development of stimulus cards, allowing the experimenter to define the relevant dimensions of cards in terms of figures, letters or words, figure/letter/word color, card color, figure/letter numerosity, and a user defined dimension. Considerable flexibility is also provided in designing lists of to be sorted cards, sort criteria, and the criteria for sort classification shift. The package also provides limited analysis capabilities as described by Grant and Berg (1948). However, as with all CATs packages raw data can be copied to the clipboard in a format acceptable for import into commonly available spreadsheets such as Excel allowing the user to design analysis routines appropriate to their needs.
Proper citation: Colorado Assessment Tests - Card Sort (RRID:SCR_007331) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on October 23, 2014. Consortium that generated a reference library of gene trap sequence tags (GTST) from insertional mutations generated in mouse embryonic stem (ES) cells. The gene trap database represents a repository of sequences produced in a large scale gene trap screen in mouse ES cells using various gene trapping vectors which are delivered either by electroporation or retroviral infections. A type of retroviral gene trap vector has been developed that can induce conditional mutations in most genes expressed in mouse embryonic stem (ES) cells. The vectors rely on directional site-specific recombination systems that can repair and re-induce gene trap mutations when activated in succession. After the gene traps are inserted into the mouse genome, genetic mutations can be produced at a particular time and place in somatic cells. In addition to their conditional features, the vectors create multipurpose alleles amenable to a wide range of post-insertional modifications. Here they have used these directional recombination vectors to assemble the largest library of ES cell lines with conditional mutations in single genes yet assembled, presently totaling 1,000 unique genes. The trapped ES cell lines, which can be ordered from the German Gene Trap Consortium, are freely available to the scientific community.
Proper citation: German Gene Trap Consortium (RRID:SCR_008532) Copy
http://wiki.c2b2.columbia.edu/califanolab/index.php/BCellInteractome.htm
A network of protein-protein, protein-DNA and modulatory interactions in human B cells. The network contains known interactions (reported in public databases) and predicted interactions by a Bayesian evidence integration framework which integrates a variety of generic and context specific experimental clues about protein-protein and protein-DNA interactions with inferences from different reverse engineering algorithms, such as GeneWays and ARACNE. Modulatory interactions are predicted by the MINDY, an algorithm for the prediction of modulators of transcriptional interactions (please refer to the publication section for more information). The BCI can be downloaded as one tab delimited file containing the complete network (BCI.txt) with each type of interaction explicitly defined.
Proper citation: B Cell Interactome (RRID:SCR_008655) Copy
https://www.facebase.org/fishface/home
ishFace is an atlas of zebrafish craniofacial development. How do the elements of the craniofacial skeleton arise, grow, and reshape? Answers to this question are coming from both molecular-genetic and cell-biological approaches, which rely, first of all, on precise description of the developmental events and processes that comprise skeletogenesis. Zebrafish, with a sophisticated knowledge of its genetics and genomics, with favorable attributes for phenotypic analyses of development, and with patterns of development conserved among all vertebrates, provides a powerful animal model for learning about craniofacial development. In particular, with current transgenic approaches one can examine craniofacial skeletal elements in exquisite cellular detail during an extended period of development within living, intact embryos and larvae an investigative method unsurpassed in accuracy and sensitivity. We constructed this developmental atlas of the craniofacial skeleton, FishFace, to serve as a guide for such study. We hope that the FishFace Atlas will be particularly useful in comparative and mutational analyses where there is interest in understanding the cellular basis of early skeletogenesis. The heart of the FishFace Atlas uses high magnification (generally a 40x objective) confocal image stacks showing transgenically-labelled chondrocytes or osteoblasts, along with mineralized bone matrix, which is visualized by vital staining with Alizarin red. We present these stacks in sequences that follow particular individual cartilages and bones of the first two pharyngeal arches as they develop during embryonic and larval stages. To do so, we build on the foundation set out in the gold standard reference for describing comprehensively skeletal elements in the zebrafish craniofacial complex, Cubbage and Mabee (1996), which used fixed preparations stained for cartilage and bone through adult stages. The FishFace Atlas element development section adds considerable detail to arch one and two early development, particularly at the cellular level, but also in description of element growth and shaping. Other sections of the FishFace Atlas, at lower magnification, provide anatomical context for the element development section, including an interactive tool made by optical projection tomography (OPT) for learning the anatomy of the entire larval skull. Hence, the FishFace Atlas provides the community with an interactive resource with which the user can understand not only the cellular details, but also complex 3D anatomical relationships, of developing elements in the craniofacial skeleton of the zebrafish.
Proper citation: FishFace - An atlas of zebrafish craniofacial development (RRID:SCR_008894) Copy
http://www.genepaint.org/R0_1.htm
A digital atlas of gene expression patterns in the mouse. Expression patterns are determined by non-radioactive in situ hybridization on serial tissue sections. An accompanying atlas based on maps of sagittal sections at embryonic day 14.5. E14.5 NMRI embryo was prepared, sectioned and imaged identically to the embryos used for in situ hybridization. Maps are accessed from the set viewer page using the appropriate button above the image directory. Both, the in situ hybridization section and the appropriate atlas section can be viewed side-by-side. Section thickness is 20 m and inter-section distance is 100 m. Tissue was stained with cresyl violet (Nissl-method). All sections were digitally scanned using a 5x objective. Structures annotated for gene expression are indicated in the maps with red pointers. Boundaries between brain regions are indicated with dashed yellow lines.
Proper citation: GenePaint Interactive Anatomy Atlas (RRID:SCR_007680) Copy
Welcome to the EMQN website. EMQN is a not-for-profit organisation promoting quality in molecular genetic testing through the provision of external quality assessment (proficiency testing schemes) and the organisation of best practice meetings and publication of guidelines. The European Molecular Genetics Quality Network (EMQN) started in October 1998 after a successful pilot trial. From January 1999 to March 2002, the network was supported by a grant from the European Commission under the Standards Measurement and Testing Programme (contract number SMT4-CT98-7515). From April 2002, the network is supported by subscriptions from it users. External Quality Assessment (EQA): There are 26 EQA schemes being offered in 2010. To participate you must be a registered member of the network. For more information on EQA schemes, click the link here. Best Practice: EMQN is actively promoting ''best practice'' meetings on individual diseases. To assist in this process, EMQN will be organising best practice meetings. To participate you must be a registered member of the network. Following the meeting, draft best practice guidelines are produced and publised on this and other related websites, for example, the web site of the UK Clinical Molecular Genetics Society (CMGS). To find out more about best practice click here. Administration: The EMQN is based at the National Genetics Reference Laboratory (Manchester), St Mary''s Hospital, Manchester, The United Kingdom. The Network is co-ordinated and administered by Dr''s Rob Elles and Simon Patton. A management group is responsible for the activities and direction of the network. National partners in different countries help to disseminate information about the network. Quality Policy The EMQN provides a comprehensive range of quality assurance programs for molecular genetics to laboratories and industry worldwide. The European Molecular Genetics Quality Network (EMQN) is committed to helping ensure diagnostic molecular genetic laboratory test results are accurate, reliable and comparable wherever they are produced. The EMQN will provide a high quality and timely service which takes into account the needs and requirements of its users. Objectives To help to raise and maintain the standards of diagnostic clinical molecular genetic testing. To undertake and promote educational activities. To be a leading authority in quality assurance . To design and provide the best possible materials and data management. To design and provide quality reports that are timely and valid. To provide professional support and consultation. To develop new programs as required. To participate in peer review. To strive for continual improvement of the quality system. Sponsor. the network was supported by a grant from the European Commission under the Standards Measurement and Testing Programme (contract number SMT4-CT98-7515
Proper citation: European Molecular Quality Network (RRID:SCR_008494) Copy
The NCGC Pharmaceutical Collection (NPC) is a comprehensive, publically-accessible collection of approved and investigational drugs for high-throughput screening that provides a valuable resource for both validating new models of disease and better understanding the molecular basis of disease pathology and intervention. The NPC has already generated several useful probes for studying a diverse cross section of biology, including novel targets and pathways. NCGC provides access to its set of approved drugs and bioactives through the Therapeutics for Rare and Neglected Diseases (TRND) program and as part of the compound collection for the Tox21 initiative, a collaborative effort for toxicity screening among several government agencies including the US Environmental Protection Agency (EPA), the National Toxicology Program (NTP), the US Food and Drugs Administration (FDA), and the NCGC. Of the nearly 2750 small molecular entities (MEs) that have been approved for clinical use by US (FDA), EU (EMA), Japanese (NHI), and Canadian (HC) authorities and that are amenable to HTS screening, we currently possess 2,400 as part of our screening collection. The NPC resource currently consists of (i) the physical collection suitable for high throughput screening (HTS) and (ii) the informatics browser and database. Putting together the physical collection has been surprisingly challenging in terms of the time and effort required in the informatics, compound management and synthetic chemistry related activities required for this endeavor. We provide access to the NPC screening library through collaboration. Please contact our Scientific Director Dr. Chris Austin for additional information. The other half of the NPC resource is the NPC browser. This is a self-contained software that is actively developed and maintained by the informatics group to provide electronic access to the NPC content. The latest version of the NPC browser for various platforms can be downloaded.
Proper citation: NCGC Pharmaceutical Collection (RRID:SCR_006909) Copy
https://www.guidetopharmacology.org/nciuphar.jsp
Issues guidelines for nomenclature and classification of human biological targets, including targets of current and future prescription medicines. Works to facilitate interface between discovery of new sequences from Human Genome Project and designation of derived entities as functional biological targets and potential drug targets. Developes database which provides access to data on all known biological targets.
Proper citation: NC-IUPHAR (RRID:SCR_006901) Copy
http://comkat.case.edu/index.php?title=Home
COMKAT is a software package for compartmental modeling oriented for biomedical image quantification. Free for academic research use, COMKAT has various functions for modeling and imaging analysis in both command-line function and GUIs. COMKAT is MATLAB software for compartmental modeling oriented to nuclear medicine applications (PET & SPECT). It supports models of a wide range complexity including multiple injection, receptor model with saturation. It supports many image formats, including DICOM images. Using either the command line interface or GUI, models are easily specified, solved or used to fit experimental data. Sensitivity equations are supported. No mathematical derivations are required on the part of the user.
Proper citation: Compartment Model Kinetic Analysis Tool (RRID:SCR_007359) Copy
Founded in 1981, ZymoGenetics is a biopharmaceutical company focused on the development and commercialization of therapeutic proteins. ZymoGenetics is publicly traded (NASDAQ: ZGEN) and headquartered in Seattle, Washington in the historic Seattle City Light Steam Plant building. Our mission is to create novel protein drugs that will significantly help patients fight their diseases. We have contributed to the discovery or development of six recombinant protein products now marketed by other companies. Current programs target viral infection, cancer, inflammatory diseases and bleeding. Our first internally developed product, RECOTHROM Thrombin, topical (Recombinant), was approved by the U.S. Food and Drug Administration (FDA) on January 17, 2008 for use as a topical hemostat to control moderate bleeding during surgical procedures and is now marketed in the United States. We have a promising pipeline of novel therapeutics, which we are developing on our own or in collaboration with partners.
Proper citation: Zymo Genetics (RRID:SCR_008602) Copy
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