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Mendel specifications

Information


Unique identifier OMICS_12952
Name Mendel
Alternative name Mendel's Accountant
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C, Fortran, Javascript, Perl
License GNU General Public License version 3.0
Computer skills Medium
Version 2.5
Stability Stable
Maintained Yes

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Documentation


Maintainer


  • person_outline J. Sanford

Publication for Mendel's Accountant

Mendel citations

 (3)
library_books

The waiting time problem in a model hominin population

2015
PMCID: 4573302
PMID: 26376851
DOI: 10.1186/s12976-015-0016-z

[…] y high degree of abstraction inherent in attempting to reduce complex population dynamics to simple mathematical formulas.Comprehensive numerical simulation entails genuine empirical experimentation. Mendel experiments produce outcomes that are neither programmed nor formulated, but are truly emergent in nature – being solely dependent on the interaction of the numerous biological factors. This ca […]

library_books

Genome Evolution by Matrix Algorithms: Cellular Automata Approach to Population Genetics

2014
Genome Biol Evol
PMCID: 4007542
PMID: 24723728
DOI: 10.1093/gbe/evu075

[…] category () and implies a Wright–Fisher population modeling where generations do not overlap (). GEMA has many features similar to previously published programs (GENOMPOP [], SFS_CODE [], FREGENE [], Mendel’s Accountant [] among others, reviewed by ). However, GEMA is designed specifically to answer important questions that have not been addressed with previous programs. Specifically, here we pres […]

library_books

Simulation of Genes and Genomes Forward in Time

2010
Curr Genomics
PMCID: 2851118
PMID: 20808525
DOI: 10.2174/138920210790218007

[…] ] simulates complex demographic and evolutionary models similarly to GenomePop []. KernelPop [] and NEMO [] implement individual-based, spatially explicit models. KernelPop uses the R environment []. Mendel's Accountant [] performs forward-time population simulations and can be supported on parallel cluster computers. quantiNEMO [] allows to investigate the effects of selection, mutation, recombin […]

Citations

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Mendel institution(s)
Department of Horticulture Science, NYSAES, Cornell University, Geneva, NY, USA; Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA; Computational Engineering Department, Mississippi State University, Starkville, MS, USA; Department of Plant, Soil, and Agricultural Systems, Southern Illinois University, Carbondale, IL, USA; Science Departement, Northwestern College, Saint Paul, MN, USA
Mendel funding source(s)
This work was supported in part by the FMS Foundation.

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