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http://galton.uchicago.edu/~junzhang/LAPSTRUCT.html

Software application to describe population structure using biomarker data ( typically SNPs, CNVs etc.) available in a population sample. The main features different from PCA are: (1) geometrically motivated and graphic model based; (2)robustness of outliers. (entry from Genetic Analysis Software)

Proper citation: LAPSTRUCT (RRID:SCR_007550) Copy   

•   Source: SciCrunch Registry

http://www.floridaaquaculture.com

This web site is your introduction to the world of Florida Aquaculture. It represents a compilation of information about a division in the Florida Department of Agriculture and Consumer Services-the Division of Aquaculture. The Division plays a key role in the regulation of aquaculture facilities and shellfish processing plants, is responsible for opening/closing of shellfish harvesting waters to protect human health, ensures the continued productivity of oyster reefs through a restoration program and issues leases of submerged state lands for aquaculture. The creation of this division is unprecedented for a state agriculture department. Florida''s Division of Aquaculture is one-of-a-kind and serves a unique industry like no other in the United States. Please browse this site and learn more about Florida Aquaculture. I welcome your comments on the topics contained in this web site.

Proper citation: Division of Aquaculture (RRID:SCR_008484) Copy   

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http://senselab.med.yale.edu

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.

Proper citation: SenseLab (RRID:SCR_007276) Copy   

•   Source: SciCrunch Registry

http://nt-salkoff.wustl.edu/portal/hgxpp001.aspx?2

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.

Proper citation: A Comprehensive Resource Base for C. elegans K+ Channels (RRID:SCR_008360) Copy   

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http://www.dtu.ox.ac.uk

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

Proper citation: DTU (RRID:SCR_008481) Copy   

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http://www.nsgportal.org/

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   

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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   

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http://www.exactantigen.com

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   

•   Source: SciCrunch Registry

http://dererumnatura.us/

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   

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http://www.alspac.bris.ac.uk

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   

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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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.biorad.com

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.pedigree-draw.com/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://tikus.gsf.de

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   

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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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry