A Python package for simulation of genomic evolution on complex and dynamic landscapes Long Description (required)
Geonomics is a Python package for forward-time, individual-based, continuous-space, population genomic simulations on complex and dynamic landscapes. Geonomics models are parameterized by way of an informatively annotated parameters file that provides the user a straightforward means of building models of arbitrary complexity while offering reasonable default settings and “off switches” for parameters and components unrelated to the user’s interests. Models consist of 1) a landscape with one or more environmental layers, each of which can undergo arbitrarily complex environmental change events and 2) one or more species having genomes with realistic architecture and any number of associated phenotypes. Species undergo non-Wright-Fisher evolution in continuous space, with localized mating and mortality, such that species-level phenomena and simulation dynamics are emergent properties of a model’s parameterization. Evolution is comprehensively tracked by way of tskit data structures that record the complete spatial pedigree, providing for the customizable output of rich, 3D data sets in a variety of common formats, including VCF and FASTA for genomic data, GeoTiff for landscape data, and CSV, Shapefile, and GeoJSON for individuals’ nongenomic data (location, environmental values, phenotypes, age, and sex). All of this allows Geonomics to produce realistic landscape genomic results useful for a wide variety of theoretical and empirical purposes. landscape genomics, quantitative trait, multiple traits, environmental change, spatial simulation, agent-based simulation, population dynamics, life history, spatial pedigree, spatially varying selection, non-Wright-Fisher, Python, scripting, visualization https://github.com/erthward/geonomics bo.peng@bcm.edu
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 34117771 ],
Terasaki Hart DE, Bishop AP, Wang IJ ,
Geonomics: Forward-Time, Spatially Explicit, and Arbitrarily Complex Landscape Genomic Simulations. ,
Mol Biol Evol ,
09-27-2021 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=34117771, Primary Citation