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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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SenseLab Resource Report Resource Website 10+ mentions |
SenseLab (RRID:SCR_007276) | SenseLab | data or information resource, database, organization portal, portal | The SenseLab Project is a long-term effort to build integrated, multidisciplinary models of neurons and neural systems. It was founded in 1993 as part of the original Human Brain Project, which began the development of neuroinformatics tools in support of neuroscience research. It is now part of the Neuroscience Information Framework (NIF) and the International Neuroinformatics Coordinating Facility (INCF). The SenseLab project involves novel informatics approaches to constructing databases and database tools for collecting and analyzing neuroscience information, using the olfactory system as a model, with extension to other brain systems. SenseLab contains seven related databases that support experimental and theoretical research on the membrane properties: CellPropDB, NeuronDB, ModelDB, ORDB, OdorDB, OdorMapDB, BrainPharmA pilot Web portal that successfully integrates multidisciplinary neurocience data. | neuron, model, olfactory system, brain, disease, neuronal, olfactory |
is related to: Neuroscience Information Framework is related to: International Neuroinformatics Coordinating Facility has parent organization: Yale University; Connecticut; USA is parent organization of: SimToolDB |
Aging | Human Brain Project ; Multidisciplinary University Research Initiative ; NIMH ; NIA ; NICD ; NINDS ; NIDCD RO1 DC 009977 |
nif-0000-00017 | SCR_007276 | SciCrunch Registry | SenseLab Project, The SenseLab Project | 2026-10-10 12:42:33 | 41 | ||||||
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A Comprehensive Resource Base for C. elegans K+ Channels Resource Report Resource Website |
A Comprehensive Resource Base for C. elegans K+ Channels (RRID:SCR_008360) | material resource, reagent supplier | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Supplies potassium channel cDNA clones in vectors suitable for functional expression and stocks of gene knockout strains. Supporting this resource base are studies showing the basic biophysical properties of the channels, studies showing the phenotypes of mutants, and information on the cell-type expression patterns of potassium channels. Studies of potassium channel cell-type expression patterns and functional properties; studies of behavioral phenotypes; generation of knockout mutants. Full-length cDNAs encoding C. elegans potassium channels in a vector suitable for functional expression in Xenopus oocytes and mammalian cell lines are available on request. Information is also provided describing the cell-type expression patterns and basic biophysical properties of potassium channels. And data on behavioral phenotypes are also available. C. elegans strains carrying knockouts of potassium channels are also generated and deposited at the C. elegans stock center at the University of Minnesota. | expression, gene, behavioral, biophysical, cdna, c. elegans, cell, clone, ion channel, knockout, mammalian, mutant, oocyte, phenotype, potassium, vector, xenopus | has parent organization: Washington State University; Washington; USA | NCRR R24 RR017342 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25471 | SCR_008360 | SciCrunch Registry | Resource Base for C. elegans K+ Channels | 2026-10-10 12:43:29 | 0 | |||||||
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DTU Resource Report Resource Website 100+ mentions |
DTU (RRID:SCR_008481) | DTU | data or information resource, organization portal, portal | It was founded in 1985 by Professor Rury Holman, specialises in performing diabetes-related national and multinational mega trials in partnership with the NHS, NIH, MRC, BHF, DUK, academic institutions and industry. The DTU also undertakes major modelling and statistical programmes to utilise fully the data available from its many studies, with a particular emphasis on modelling diabetes and cardiovascular disease processes. Current studies include 4-T, ACE, TECOS and UKPDS~Post Study Monitoring. Sponsor. Funded by the UK National Institute for Health Research | has parent organization: University of Oxford; Oxford; United Kingdom | nif-0000-30450 | SCR_008481 | SciCrunch Registry | Diabetes Trials Unit, The Diabetes Trials Unit | 2026-10-10 12:42:35 | 153 | |||||||||
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Neuroscience Gateway Resource Report Resource Website 10+ mentions |
Neuroscience Gateway (RRID:SCR_008915) | NSG | data or information resource, portal, project portal, software resource | 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. | Large, scale, modeling, data, computing, neuroscience, neuron, BRAIN Initiative |
is recommended by: BRAIN Initiative lists: ModelRun is related to: XSEDE - Extreme Science and Engineering Discovery Environment is related to: NEURON is related to: GENESIS Neural Database and Modelers Workspace has parent organization: San Diego Supercomputer Center has parent organization: Neuroscience Information Framework has parent organization: Yale School of Medicine; Connecticut; USA |
BBSRC N005236; NIBIB R01 EB023297; NSF 1146949; NSF 1339856; NSF 1458495; NSF 1458840 |
Free, Freely available | nlx_151553, SCR_015767 | http://www.nitrc.org/projects/nsg/ | SCR_008915 | SciCrunch Registry | Neuroscience Gateway - A Portal for Computational Neuroscience, Neuroscience Gateway, Neuroscience Gateway (NSG) Portal | 2026-10-10 12:42:33 | 25 | |||||
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Neural Simulation Language Resource Report Resource Website |
Neural Simulation Language (RRID:SCR_007308) | data processing software, software application, software resource | 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 | nif-0000-00164 | SCR_007308 | SciCrunch Registry | NSL | 2026-10-10 12:42:31 | 0 | |||||||||||
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Labome Resource Report Resource Website 1+ mentions |
Labome (RRID:SCR_007384) | material resource, reagent supplier | 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). | antibody, reagent, protein, peptide, elisa, cdna clone, microrna, biochemical, database | is used by: NIF Data Federation | nif-0000-00384 | SCR_007384 | SciCrunch Registry | Labome.com, ExactAntigen / Labome, ExactAntigen, ExactAntigen.com | 2026-10-10 12:42:34 | 2 | |||||||||
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De Rerum Natura Resource Report Resource Website |
De Rerum Natura (RRID:SCR_008475) | data or information resource, organization portal, portal | 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 | nif-0000-30438 | SCR_008475 | SciCrunch Registry | De Rerum Natura | 2026-10-10 12:43:30 | 0 | |||||||||||
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ALSPAC Resource Report Resource Website 100+ mentions |
ALSPAC (RRID:SCR_007260) | ALSPAC | data or information resource, portal, project portal | 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. | longitudinal, study, parent, child, health, research, mother, development, research, disease, genetic, environmental | has parent organization: University of Bristol; Bristol; United Kingdom | UK Medical Research Council ; Wellcome Trust ; University of Bristol |
Available to the research community | nif-0000-30224 | SCR_007260 | SciCrunch Registry | The Avon Longitudinal Study of Parents and Children, Avon Longitudinal Study of Parents and Children | 2026-10-10 12:42:31 | 485 | ||||||
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Center for Premature Infant Health and Developement Resource Report Resource Website |
Center for Premature Infant Health and Developement (RRID:SCR_008074) | data or information resource, organization portal, portal | 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. | biomedical, development, health care, preterm, psychological, social science, translational research, treatment | has parent organization: University of Southern California; Los Angeles; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10533 | SCR_008074 | SciCrunch Registry | CPIHD | 2026-10-10 12:42:32 | 0 | ||||||||
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Foundation for Informed Medical Decision Making Resource Report Resource Website 10+ mentions |
Foundation for Informed Medical Decision Making (RRID:SCR_008509) | data or information resource, organization portal, portal | 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. | nif-0000-30583 | http://www.fimdm.org/about.php | SCR_008509 | SciCrunch Registry | Foundation for Informed Medical Decision Making | 2026-10-10 12:42:35 | 17 | ||||||||||
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Bio-Rad Laboratories Resource Report Resource Website 10000+ mentions |
Bio-Rad Laboratories (RRID:SCR_008426) | Bio-Rad | commercial organization | Commercial instrument and chemical vendor. Developer and manufacturer of specialized technological products for life science research and clinical diagnostics markets. | biomaterial analysis service, behavioral analysis service, instrument manufacture, material service resource | SCR_013553, nlx_152296, nif-0000-30176 | https://www.bio-rad.com/ | SCR_008426 | SciCrunch Registry | Bio-Rad, Bio-Rad Laboratories Inc., Bio-Rad Laboratories Inc | 2026-10-10 12:42:32 | 40029 | ||||||||
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A statistical framework for genomic data fusion Resource Report Resource Website 100+ mentions |
A statistical framework for genomic data fusion (RRID:SCR_007219) | data or information resource, data set, software resource, source code | 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. | kernel matrix, random, gene expression, blast, smith-waterman, pfam hmm, hydrophobicity fft, linear interaction, diffusion kernel, protein, membrane, ribosomal | has parent organization: University of Washington; Seattle; USA | PMID:15130933 | nlx_149420 | SCR_007219 | SciCrunch Registry | 2026-10-10 12:42:31 | 155 | |||||||||
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Pedigree-Draw Resource Report Resource Website 1+ mentions |
Pedigree-Draw (RRID:SCR_008302) | commercial organization, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2024. Software application for pedigree drawing (entry from Genetic Analysis Software) | gene, genetic, genomic, macos, bio.tools |
is listed by: Genetic Analysis Software is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: OMICtools |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154520, OMICS_00213, SCR_010795 | SCR_008302 | SciCrunch Registry | PEDIGREE/DRAW | 2026-10-10 12:42:34 | 1 | ||||||||
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Colorado Assessment Tests - Card Sort Resource Report Resource Website |
Colorado Assessment Tests - Card Sort (RRID:SCR_007331) | data processing software, software application, software resource | 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. | frontal lobe, alcoholism, attention deficit disorder, card sorting task, disfunctional, human, motor disorder, schizophrenia | has parent organization: University of Colorado; Colorado Springs; USA | Aging | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00210 | SCR_007331 | SciCrunch Registry | Card Sort | 2026-10-10 12:42:34 | 0 | |||||||
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German Gene Trap Consortium Resource Report Resource Website |
German Gene Trap Consortium (RRID:SCR_008532) | GGTC | biomaterial supply resource, cell repository, material resource | 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. | phenotyping, molecular neuroanatomy, gene trap sequence tag, embryonic stem cell line, mutation, gene | is listed by: One Mind Biospecimen Bank Listing | German Federal Ministry of Research and Education ; National Genome Research Network |
PMID:15870191 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30613 | http://genetrap.helmholtz-muenchen.de/ | SCR_008532 | SciCrunch Registry | German Gene Trap Consortium | 2026-10-10 12:42:32 | 0 | ||||
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B Cell Interactome Resource Report Resource Website 1+ mentions |
B Cell Interactome (RRID:SCR_008655) | BCI | data or information resource, database, model | 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. | expression, generic, bayesian, b cell, dna, human, interaction, interactome, modulatory, protein, transcriptional |
is related to: ARACNE has parent organization: Columbia University; New York; USA |
PMID:18277385 | Available for download | nif-0000-33034 | SCR_008655 | SciCrunch Registry | 2026-10-10 12:42:33 | 1 | |||||||
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FishFace - An atlas of zebrafish craniofacial development Resource Report Resource Website 1+ mentions |
FishFace - An atlas of zebrafish craniofacial development (RRID:SCR_008894) | FishFace | atlas, data or information resource, reference atlas | 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. | craniofacial development | has parent organization: FaceBase | ARRA ; NIDCR 5RC1DE020655; NICHD PO1 HD22486; NIDCR 1RO1 DE13834; NIDCR U01DE020057 |
nlx_151378 | SCR_008894 | SciCrunch Registry | FishFace: An Atlas of zebrafish craniofacial development, FishFace Atlas | 2026-10-10 12:42:36 | 4 | |||||||
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GenePaint Interactive Anatomy Atlas Resource Report Resource Website |
GenePaint Interactive Anatomy Atlas (RRID:SCR_007680) | GenePaint.org Interactive Anatomy Atlas | atlas, data or information resource, reference atlas | 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. | gene, gene expression, gene expression pattern, cellular resolution, in-situ hybridization, mouse, nissl stain, molecular neuroanatomy resource, development, developing |
is related to: GUDMAP Ontology is related to: NIDDK Information Network (dkNET) has parent organization: Max-Planck-Gesellschaft has parent organization: GenePaint |
nif-0000-02886 | SCR_007680 | SciCrunch Registry | GenePaint Embryo Atlas, GenePaint Atlas of Embryo Maps, GenePaint.org Atlas of Embryo Maps | 2026-10-10 12:42:31 | 0 | ||||||||
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European Molecular Quality Network Resource Report Resource Website 10+ mentions |
European Molecular Quality Network (RRID:SCR_008494) | data or information resource, organization portal, portal | 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 | nif-0000-30493 | SCR_008494 | SciCrunch Registry | EMQN | 2026-10-10 12:43:30 | 43 | |||||||||||
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Compartment Model Kinetic Analysis Tool Resource Report Resource Website |
Compartment Model Kinetic Analysis Tool (RRID:SCR_007359) | data processing software, software application, software resource | 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. | has parent organization: Case Western Reserve University; Ohio; USA | nif-0000-00281 | http://comkat.case.edu/comkat/comkat_wiki/index.php?title=Home | SCR_007359 | SciCrunch Registry | COMKAT: COmpartment Model Kinetic Analysis Tool, COMKAT | 2026-10-10 12:42:31 | 0 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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