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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
ABRF CoreMarketplace project created for core facilities tracking. CoreMarketplace (CM) is searchable list of active core facilities that perform scientific research. The CM was initially created by Vermont IDeA Network of Biomedical Research Excellence (INBRE). CoreMarketplace is associated with Association of Biomolecular Research Facilities (ABRF) which is membership association to sponsor and help members to incorporate new biotechnology into their laboratories.
Proper citation: ABRF CoreMarketplace (RRID:SCR_021196) Copy
Public research university in Gainesville, Florida, United States. Member of state university system of Florida with undergraduate and graduate programs in arts and sciences.
Proper citation: University of Florida; Florida; USA (RRID:SCR_000145) Copy
Private, non profit university in Stanford, California, USA for research and undergraduate and graduate studies. Known for its academic strength, wealth, proximity to Silicon Valley, and ranking as one of the world's top universities. Particularly noted for its entrepreneurship and is one of the most successful universities in attracting funding for start-ups.
Proper citation: Stanford University; Stanford; California (RRID:SCR_011538) Copy
Public research university located in London, England.
Proper citation: University College London; London; United Kingdom (RRID:SCR_011603) Copy
http://www.mathworks.com/products/matlab/
Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.
Proper citation: MATLAB (RRID:SCR_001622) Copy
http://amigo.geneontology.org/
Web tool to search, sort, analyze, visualize and download data of interest. Along with providing details of the ontologies, gene products and annotations, features a BLAST search, Term Enrichment and GO Slimmer tools, the GO Online SQL Environment and a user help guide.Used at the Gene Ontology (GO) website to access the data provided by the GO Consortium. Developed and maintained by the GO Consortium.
Proper citation: AmiGO (RRID:SCR_002143) Copy
http://www.neuroconstruct.org/
Software for simulating complex networks of biologically realistic neurons, i.e. models incorporating dendritic morphologies and realistic cell membrane conductance, implemented in Java and generates script files for the NEURON and GENESIS simulators, with support for other simulation platforms (including PSICS and PyNN) in development. neuroConstruct is being developed in the Silver Lab in the Department of Neuroscience, Physiology and Pharmacology at UCL and uses the latest NeuroML specifications, including MorphML, ChannelML and NetworkML. Some of the key features of neuroConstruct are: Creation of networks of biologically realistic neurons, positioned in 3D space. Complex connectivity patterns between cell groups can be specified for the networks. Can import morphology files in GENESIS, NEURON, Neurolucida, SWC and MorphML format for inclusion in network models. Simulations can be run on the NEURON or GENESIS platforms. Cellular processes (synapses/channel mechanisms) can be imported from native script files or created in ChannelML. Recording of simulation data generated by the simulation and visualization/analysis of data. Stored simulation runs can be viewed and managed through the Simulation Browser interface.
Proper citation: neuroConstruct (RRID:SCR_007197) Copy
http://neuralensemble.org/PyNN/
Software Python package for simulator-independent specification of neuronal network models. In other words, you can write the code for a model once, using the PyNN API, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and PCSIM). The API has two parts, a low-level, procedural API (functions create(), connect(), set(), record(), record_v()), and a high-level, object-oriented API (classes Population and Projection, which have methods like set(), record(), setWeights(), etc.). The low-level API is good for small networks, and perhaps gives more flexibility. The high-level API is good for hiding the details and the book-keeping, and is intended to have a one-to-one mapping with FacetsML. The other thing that is required to write a model once and run it on multiple simulators is standard cell models. PyNN translates standard cell-model names and parameter names into simulator-specific names, e.g. standard model IF_curr_alpha is iaf_neuron in NEST and StandardIF in NEURON, while SpikeSourcePoisson is a poisson_generator in NEST and a NetStim in NEURON. Only a small number off cell models have been implemented so far.
Proper citation: PyNN (RRID:SCR_002715) Copy
https://github.com/MetaCell/nwb-explorer
Web application and standalone application to read, visualize and explore content of NWB:N 2 files.Used to share neurophysiological data in Neurodata Without Borders format.
Proper citation: NWB Explorer (RRID:SCR_021151) Copy
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