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Moose specifications

Information


Unique identifier OMICS_21472
Name Moose
Alternative name Multiscale Object-Oriented Simulation environment
Software type Application/Script
Interface Graphical user interface, Application programming interface
Restrictions to use None
Input format SBML,NeuroML,GENESIS kkit and cell.p formats,HDF5,NSDF
Operating system Unix/Linux, Mac OS
Programming languages C++, Python
Parallelization MPI
License GNU General Public License version 3.0
Computer skills Advanced
Version 3.1.3
Stability Stable
Requirements
g++, gsl, python-dev, numpy
Source code URL https://codeload.github.com/BhallaLab/moose/zip/3.1.2
Maintained Yes

Subtool


  • NeuroML reader

Download


download.png

Versioning


No version available

Documentation


Maintainer


  • person_outline Dilawar Singh

Additional information


https://github.com/BhallaLab/moose https://sourceforge.net/projects/moose/

Publication for Multiscale Object-Oriented Simulation environment

Moose citations

 (20)
library_books

Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience

2018
Front Neuroinform
PMCID: 5911506
PMID: 29713272
DOI: 10.3389/fninf.2018.00018

[…] testing. Commonly used frameworks include Travis CI (Continuous Integration), Circle CI, Jenkins, and AppVeyor.Whenever possible, use reliable model development platforms such as NEST, BRIAN, NEURON, MOOSE, NENGO, PyNN, etc. This will increase the likelihood of accurate simulation and will enhance sharing. Similarly, model components should be taken from reliable databases of morphologies, channel […]

call_split

Competition between apex predators? Brown bears decrease wolf kill rate on two continents

2017
PMCID: 5310606
PMID: 28179516
DOI: 10.1098/rspb.2016.2368
call_split See protocol

[…] near the home site; see electronic supplementary material, appendix S1). Model variables in the SCA candidate model set included bear presence, Julian kill date (139–193), pack size (2–9), prey type, moose density (0.02–0.68) and distance to nearest road (0.008–1.16 km). Model variables in the YNP candidate model set included bear presence, Julian kill date (120–211), pack size (2–15), prey type, […]

library_books

Effects of interspecific interaction linked habitat factors on moose resource selection and environmental stress

2017
Sci Rep
PMCID: 5269734
PMID: 28128311
DOI: 10.1038/srep41514

[…] Resource selection models suggested that moose had uniform preferences for some sympatric interspecific interaction-linked habitat factors at the regional scale (Extend Data Table 1). At the regional scale, the three habitat variables were e […]

call_split

Experimental moose reduction lowers wolf density and stops decline of endangered caribou

2017
PeerJ
PMCID: 5580390
PMID: 28875080
DOI: 10.7717/peerj.3736
call_split See protocol

[…] Caribou abundance, adult survival and recruitment estimates were compared across treatment and reference areas, and before and after the moose reduction was initiated. Caribou censuses were conducted every two years on average, from March to early April when they were high in the mountains and their tracks in open snowfields made them […]

library_books

Synaptic input sequence discrimination on behavioral timescales mediated by reaction diffusion chemistry in dendrites

2017
eLife
PMCID: 5426902
PMID: 28422010
DOI: 10.7554/eLife.25827.024

[…] All modeling was carried out using MOOSE, the Multiscale Object-Oriented Simulation Environment (). MOOSE is freely available, open source, and licensed under the GNU Public License version 3. It can be downloaded from moose.ncbs.res.in and GitHu […]

call_split

Prey Selection of Scandinavian Wolves: Single Large or Several Small?

2016
PLoS One
PMCID: 5193335
PMID: 28030549
DOI: 10.1371/journal.pone.0168062
call_split See protocol

[…] i distribution and we therefore fitted a GLMM with a binomial distribution and logit function (lme4 package in R 3.1.2 []). We used a subsample of the total dataset including 365 wolf kills including moose (n = 258) and roe deer (n = 107) from the 16 (one territory excluded: Tenskog) wolf territories for which we could obtain estimates of local (kill site) prey densities and data on snow depth. Be […]

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Moose institution(s)
National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
Moose funding source(s)
Supported by DAE-SRC, DBT, NCBS/TIFR, EU-India Grid and SBCNY/NIGMS.

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