Simulating complex traits influenced by genes with fuzzy-valued effects in pedigreed populations.
BACKGROUND
Methods involving fuzzy theory have been rarely applied to genetics. We present an open platform for experimentation with fuzzy numbers as a tool to represent imprecise phenotypes in genetic modeling.


RESULTS
A C++ library for simulation of genetic information transmission is introduced. The study of genetic linkage was its first goal, though a design so general as possible has been meant. Fuzzy-valued phenotypes are handled by means of fuzzy numbers.


BACKGROUND
ftp://carleos.etsiig.uniovi.es/pub/falin ftp://fisher.ciencias.uniovi.es/pub/falin ftp://bellman.ciencias.uniovi.es/pub/falin Licensed under the GNU General Public License version 2 (see http://www.gnu.org/licenses/gpl.html).
Carleos
C
C
Departamento Estadistica, Universidad de Oviedo, 33007 Asturias, Spain. carleos@pinon.ccu.uniovi.es
Rodriguez
F
F
Lamelas
H
H
Baro
J A
JA
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D017143:Fuzzy Logic; D008040:Genetic Linkage / Q000235:genetics; D040582:Inheritance Patterns / Q000235:genetics; D008957:Models, Genetic; D010375:Pedigree; D010641:Phenotype; D011381:Programming Languages; D012984:Software; D012985:Software Design; D013269:Stochastic Processes