Curator Dashboard

This website provides summary collections written for a broad audience highlighting some of the significant advances in a particular field. These are not scientific articles although they may reference scientific work. Sponsors: This resource is supported by Nature.com

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• SciCrunch
• 17 years ago - by Anonymous

A web catalog of over 1M antibodies from hundreds of different companies and other research supplies. Biocompare has made large quantities of data available to the antibodyregistry.org facilitating tagging important research reagents to literature and continues to work with the antibodyregistry.

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• SciCrunch
• 17 years ago - by Anonymous

Software packages for 3D visualization: Mayavi2 for data visualization and TVTK for object manipulation.

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• SciCrunch
• 17 years ago - by Anonymous

Phenote is both a complete piece of software and a software toolkit designed to facilitate the annotation of biological phenotypes using ontologies. It provides an interface and infrastructure to record genotype-phenotype pairs, together with the provenance for the annotation. Typical users of Phenote include literature curators, laboratory researchers, and clinicians looking for a method to record data in a user-friendly and computable way. Features of Phenote include the use of any OBO-format ontology, ontology navigation and term information display, bulk sort, copy, edit, and delete of phenotype-genotype character entries, and a variety of export formats. Phenote is a project of the Berkeley Bioinformatics Open-Source Projects (BBOP).

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• SciCrunch
• 17 years ago - by Anonymous

Center that conducts multidisciplinary studies on captive baboons and provides a resource of laboratory-born and laboratory-reared baboons for NIH-sponsored research programs.

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• SciCrunch
• 17 years ago - by Anonymous

MaNIS is a database and infrastructure meant to facilitate open access to combined specimen data from a web browser, enhance the value of specimen collections, conserve curatorial resources, and use a design paradigm that can be easily adopted by other disciplines with similar needs. With support from the National Science Foundation, seventeen North American institutions and their collaborators developed the Mammal Networked Information System. The original objectives of MaNIS were to 1) facilitate open access to combined specimen data from a web browser, 2) enhance the value of specimen collections, 3) conserve curatorial resources, and 4) use a design paradigm that can be easily adopted by other disciplines with similar needs. As an NSF-funded initiative, MaNIS has achieved these objectives while avoiding the need for long-term, external maintenance of the network and centralized data management. As MaNIS faces the future, it is only through expansion of the network, both nationally and internationally, that the real impact of this collaborative effort will be maximized. Participation by other institutions is now welcome and those wishing to join have at their disposal the data standards, software and documentation that were developed for this project. All that is asked of future participants is that they make the same institutional commitment as the original collaborators to maintain their repositories of high-quality specimen collections and make the accompanying data available for the benefit of all. At the time of its inception, development of MaNIS addressed the urgent call for natural history museums to come together to build and support a biodiversity informatics infrastructure to facilitate and enhance research, education, conservation, and public health. That call has now been answered. It is hoped that continued expansion of the network will allow the preservation and sustainable use of biodiversity in all its complexity as we attempt to address the magnitude of human impacts on the Earth''s ecological systems during the 21st century. Supported by NSF

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• SciCrunch
• 17 years ago - by Anonymous

The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The Institute of Neuroinformatics is built of many people covering a wide range of disciplines and research areas. The major research projects and areas are listed below. - Behavior and Cognition: At the Institute of Neuroinformatics researchers investigate in Behavior and Cognition on various levels, ranging from neuronal circuit models of learning and adaptation over psychophysical experiments for color constancy up to modeling complex behavioral tasks such as exploration and goal-directed navigation. - Computation in Neural Circuits: By examining the brains of cats, rats and monkeys, and by making simulations of the cortex, INI hopes to learn how this circuit performs such widely different tasks. This knowledge might lead to advances in how computers are designed, and will certainly lead to advances in the subtlety and power of medical neuroscience. - Neurotechnologies: INI aims to harness the principles of biological computation, which can be expected to have a major impact on the technology market as autonomous intelligence pervades equipment, vehicles, buildings, utilities and clothing. Sponsors: INI is supported by European Union (EU), Gerbert Ruf Stiftung, Neuroscience Center (ZNZ), Swiss Confederation (KTI), Swiss Federal Institute of Technology Zurich (ETH), Swiss National Science Foundation (SNF), University of Zurich (UZH), and VW Stiftung

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• SciCrunch
• 17 years ago - by Anonymous

Collection of some common optical illusions

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• SciCrunch
• 17 years ago - by Anonymous

This site provides information about the NTT Human and Information Science Laboratory. Technologies that enable users to get along well with information and technologies that can handle information properly on computers and networks are the keys to secure and high-quality information distribution services in a network society. In realizing those technologies, a comprehensive understanding of how human beings, the creators and the recipients of information, process information and novel principles for handling information are indispensable. From this viewpoint, the NTT Human and Information Science Laboratory has been pursuing scientific research in two areas: Sensory and Emotion Research, and Sensory and Motor Research. Sponsors: This resource is supported by NTT Communication Science Laboratories.

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• SciCrunch
• 17 years ago - by Anonymous

This web site focuses on neuroscience, the study of the nervous system. Links on this page are limited to those Dr. Chundler finds to be the most interesting and useful.

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• SciCrunch
• 16 years ago - by Anonymous

This page leads you to some screen shots from the Color Vision Demonstrations program CVD for IBM PCs and compatibles as described in this reference: Irtel, H. (1992). Color-vision demonstrations on an IBM PC/AT with VGA. Behavior Research Methods, Instruments, & Computers, 24, 88-89. Note that in order to display these images correctly you need a true color display with 8 bits resolution per color channel.

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• SciCrunch
• 17 years ago - by Anonymous

Non profit, private research and education institution that performs molecular and genetic research used to generate methods for better diagnostics and treatments for cancer and neurological diseases. Research of cancer causing genes and their respective signaling pathways, mutations and structural variations of the human genome that could cause neurodevelopmental and neurodegenerative illnesses such as autism, schizophrenia, and Alzheimer's and Parkinson's diseases and also research in plant genetics and quantitative biology.

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• SciCrunch
• 17 years ago - by Anonymous

This website contains a list of classic articles in visual perception. They are listed alphabetically by the last name if the article''s author.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Vision Science is a large discipline at the ANU that is found in several teaching and research faculties and several large research institutes. About 85 research staff participate in all forms of vision science from machine vision, to neurophysiology, behaviour and cognition. The scale of analysis ranges from molecular to systems approaches and covers insect, vertebrate and human visual systems. Topics such as disease and development of the human visual system are also covered. CVS works to connect and sustain the component parts of the ANU vision science community.

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• SciCrunch
• 17 years ago - by Anonymous

Data analysis service that allows to process CEL files from Affymetrix, Inc. GeneChip Gene 1.0 ST Arrays to identify alternative splicing.

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• SciCrunch
• 13 years ago - by Anonymous

Public research university in New South Wales, Australia which offers degree programs across a wide spectrum of disciplines, as well as providing research facilities to scientists

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• SciCrunch
• 16 years ago - submitted by Andrea Stagg

Catacomb consists of a set of frameworks for various types of models in neuroscience, user interfaces to facilitate building models within these frameworks, and numerical algorithms to compute their behavior. The available frameworks include reaction kinetics, reaction diffusion systems, kinetic scheme models of ion channels, small neuron models and integrate and fire networks. It is a library of models (data structures and algorithms) covering a range of problems in neuroscience together with a versatile graphical user interface for constructing and running specific instances of the models. Some features of Catacomb include: * Class models. There is a growing set of classes containing data structures and calculation methods for various problem domains in neuroscience - reaction schemes, stochastic channel models, integrate-and-fire networks, cell geometry et al. * Dynamic interface builder. Using Java''s reflection capabilities, individual user interfaces are constructed for each class model allowing new instances to be created and displaying the results of any calculation methods they may contain. * Parameter watching. Using Java threads, the calculations are rerun and results displayed whenever parameters upon which they depend are changed. * Session recording. Operations can be recorded and played back for illustrating how to use Catacomb or for preconfigured demonstrations of model behavior. * Compatible with JPython. Catacomb does not include its own interpreter except in the minimal sense required to parse its own saved files. But its objects and methods are accessible to JPython which can be used for command line access or scripting. * Applet building. The contents of windows in the display can be extracted and packaged together in a single panel for loading as an applet. The model is saved as a java source file which, once compiled, can be packaged with the original Catacomb archive for loading from a Web page. See the AppletConfigEditor.

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• SciCrunch
• 17 years ago - by Anonymous

Combines genetic and epigenetic data to facilitate SNP classification, prioritization and prediction of their functional effect.

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• SciCrunch
• 13 years ago - by Anonymous

The Compendium is a collection of hypertext summaries on the central topics in computer vision. We have organized an index of about 700 topics. (The top-level categories are listed at the bottom of this message.) Everyone will have written some notes on a few topics - we propose to set up the WWW links from the central index to your text. Thus, everyone can benefit from your efforts, and the computer vision community can advance by having a common set of widely read text materials available at virtually no expense to your library nor students. The Compendium is intended to be a clear summary of methods and applications of computer vision, organized into sections covering the main topics of practice and research. Each section will contain a number of topics, and each topic will be a hyperlink to a set of materials associated with that text. Sponsors: CVonline is a projected funded by the Edinburgh University.

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• SciCrunch
• 17 years ago - by Anonymous

CONICAL is a C++ class library for building simulations common in computational neuroscience. Currently its focus is on compartmental modeling, with capabilities similar to GENESIS and NEURON. Future classes may support reaction-diffusion kinetics and more. A key feature of CONICAL is its cross-platform compatibility; it has been fully co-developed and tested under Unix, DOS, and Mac OS. Any C++ compiler which adheres to the emerging ANSI standard should be able to compile the CONICAL classes without modification. It is intended to encourage the rapid development of simulator software, especially on non-Unix systems where such software is sorely lacking. The present focus of the CONICAL library of C++ classes is compartmental modeling. A model neuron is built out of compartments, usually with a cylindrical shape. When small enough, these open-ended cylinders can approximate nearly any geometry, just as the stack of cylinders approximates a cone in the logo above. While any compartment has passive electrical properties (like a simple resistor-capacitor circuit), more interesting properties require the use of active ion channels whose conductance varies as a function of the time or membrane voltage. A standard Hodgkin-Huxley ion channel is included as one of the built-in CONICAL object types. Most of the voltage-gated ion channels in the literature can be directly implemented merely by setting the parameters of this class. For extensibility, this class is derived from several layers of more general classes. Connections between neurons can be implemented in several ways. For a gap junction (i.e., simple electrical connection), a passive current (or pair of currents, one in each direction) can be used. Synapses are more complex objects, but used in a similar fashion. The Alpha-function synapse is a very popular model of synaptic transmission, and is a basic CONICAL class. More complex (and realistic) synapses can be built using the Markov-model synapse. (A Markov model can be used on its own for other purposes as well.) In addition to classes directly related to neural modeling, CONICAL contains several other useful object types. These include a current injector, and a column-oriented output stream for storing data in table form.

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• SciCrunch
• 17 years ago - by Anonymous