An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pcbi.1007696

https://doi.org/10.1371/journal.pcbi.1007696

The SONATA data format for efficient description of large-scale network models

Cited by: 26
Author(s): Kael Dai, Juan Hernando, Yazan N. Billeh, Sergey L. Gratiy, Judit Planas, Andrew P. Davison, Salvador Dura‐Bernal, Padraig Gleeson, Adrien Devresse, Benjamin Dichter, Michael Gevaert, James G. King, Werner A. H. Van Geit, Arseny V. Povolotsky, Eilif Müller, Jean-Denis Courcol, Anton Arkhipov
Published: over 5 years ago

Software Mentions 8

bioconductor: GENESIS
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
Papers that mentioned: 243
Very Likely Science (100)
cran: config
Manage Environment Specific Configuration Values
Papers that mentioned: 33
Very Likely Science (77)
pypi: config
A hierarchical, easy-to-use, powerful configuration module for Python
Papers that mentioned: 33
Very Likely Science (65)
pypi: glibc
Pure-Python bindings to glibc (based on ctypes)
Papers that mentioned: 11
Very Likely Science (65)
pypi: NEURON
Empirically-based simulator for modeling neurons and networks of neurons
Papers that mentioned: 766
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pyNeuroML
Python utilities for NeuroML
Papers that mentioned: 3
Very Likely Science (100)
pypi: PyNN
A Python package for simulator-independent specification of neuronal network models
Papers that mentioned: 131
Very Likely Science (90)