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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.
A web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document. It offers a comprehensive library on top of which more sophisticated systems can be built. The project provides an enhanced interactive environment that includes support for data visualization and facilities for distributed and parallel computation.
Proper citation: IPython (RRID:SCR_001658) Copy
A Python-based environment of open-source software for mathematics, science, and engineering. The core packages of SciPy include: NumPy, a base N-dimensional array package; SciPy Library, a fundamental library for scientific computing; and IPython, an enhanced interactive console.
Proper citation: SciPy (RRID:SCR_008058) Copy
http://sak042.github.io/Wessim/
Software simulator for a targeted resequencing generally known as exome sequencing. Wessim generates a set of artificial DNA fragments for next generation sequencing (NGS) read simulation.
Proper citation: Wessim (RRID:SCR_002567) Copy
Python package for calculation of extracellular potentials from multicompartment neuron models. LFPy can be used to set up a model, run simulations, and calculate the extracellular potentials arising from activity in the given model neuron. It relies on the Python interface provided by the NEURON simulator.
Proper citation: LFPy (RRID:SCR_014805) Copy
https://github.com/Neuroinflab/kCSD-python
Source code for the Python implementation of the kernel Current Source Density method. The method operates in one-, two-, and three-dimensional space to perform nonparametric estimation of transmembrane current sources from local field potentials recorded from arbitrarily distributed electrodes.
Proper citation: kCSD-python (RRID:SCR_015777) Copy
OMPC aims to enable reuse of the huge open and free code base of MATLAB on a free and faster growing Python platform. Running Python and MATLAB in a single interpreter avoids issues with running two separate applications. Python adds general purpose programming libraries to the convenient syntax of the language of technical computing. OMPC is not an interpreter, it lets Python to do the work. This means that if Python gets faster OMPC gets faster too. OMPC translates the m-files preserving the structure of the original programs as much as possible. Although OMPC comes with a library that emulates the features of numerical array of MATLAB there is nothing that will stop you from running the translated code the way you like it. This means that you could run the OMPC generated code on IronPython, Jython, PyPy or whatever else if you write your own numerical class. Sponsors: This resource is supported by RIKEN Brain Science Institute.
Proper citation: An Open-Source MATLAB-to-Python Compiler (RRID:SCR_008409) Copy
Community site to make brain imaging research easier that aims to build software that is clearly written, clearly explained, a good fit for the underlying ideas, and a natural home for collaboration.
Proper citation: Neuroimaging in Python (RRID:SCR_013141) Copy
http://ipython.org/notebook.html
A web application and interactive computational environment where users can combine code execution, rich text, mathematics, plots, and rich media. IPython Notebook consists of two parts, the web application and plain texts. The Ipython Notebook web application is used for interactive authoring of literate computations, in which explanatory text, mathematics, computations, and rich media output may be combined. Input and output are stored in persistent cells that may be edited in-place. The plain text documents, called notebooks, record and distribute the results of the rich computations. Saved files in the notebook can be put under version control and shared with colleagues.
Proper citation: IPython Notebook (RRID:SCR_013984) Copy
https://github.com/common-workflow-language/cwltool
Reference implementation of the Common Workflow Language standards. It provides complete features and tools and comprehensive validation of CWL. The reference implementation consists of two packages. The cwltool package is the primary Python module containing the reference implementation in the cwltool module and console executable by the same name. The cwlref-runner package is optional and provides an additional entry point under the alias cwl-runner, which is the implementation-agnostic name for the default CWL interpreter installed on a host.
Proper citation: cwltool (RRID:SCR_015528) Copy
http://neuralensemble.org/sumatra/
A software tool for managing and tracking projects based on numerical simulation or analysis to support reproducible research. It can be thought of as an automated electronic lab notebook for simulation/analysis projects. Sumatra consists of: a command-line interface, smt, for launching simulations/analyses with automatic recording of information about the context, annotating these records, linking to data files, etc.; a web interface with a built-in web-server, smtweb, for browsing and annotating simulation/analysis results; a LaTeX package and Sphinx extension for including Sumatra-tracked figures and links to provenance information in papers and other documents; and a Python API, on which smt and smtweb are based, that can be used in personalized scripts in place of using smt.
Proper citation: Sumatra (RRID:SCR_001381) Copy
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