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BCAWT was developed using python 3.7 with build in and third-party modules.
The usage of BCAWT is made to be very easy where users have only to input a fasta format file containing genes to be analyzed, and a bunch of analysis will be performed with 23 different output files
A genetics tool that identifies genomic regions of shared ancestry
Combinatorial Conflicting Homozygosity (CCH) uses dense Single Nucleotide Polymorphism (SNP) genotypes to identify regions of the genome inherited from a common ancestor among any or all subsets of a group. Analysis is rapid and can identify loci containing genes for dominant traits. CCH is robust to the presence of phenocopies and can detect undisclosed shared common ancestry.
The associated publication regarding CCH may be accessed here:
http://www.biomedcentral.com/1471-2164/16/163
If...
For businesses in all industries interested in an enterprise governance software for boards and leadership teams
Nasdaq Boardvantage helps directors, committees, and leadership teams be better prepared, engaged, and aligned in their collaboration and decision-making processes. Plus, our board portal makes it easier than ever for corporate secretaries and administrators to manage meetings, build agendas, and distribute materials
CDPOPgui is a GUI Frontend for CDPOP
What is CDPOP?
CDPOP (Cost Distance POPulations) is a spatially-explicit simulator of gene-flow in complex landscapes to explain observed population responses and provide a foundation for landscape genetics. The program implements individual-based population modeling with Mendelian inheritance on a resistant landscape. Simulation begins with an initial homogeneous population and followed by divergence through time as functions of individual based...
Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.
A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.