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Benjamin Crawford Pierce is the Henry Salvatori Professor [1] of computer science at the University of Pennsylvania. Pierce joined Penn in 1998 from Indiana University and held research positions at the University of Cambridge and the University of Edinburgh. He received his Ph.D. from Carnegie Mellon University in 1991.
The general selection model (GSM) is a model of population genetics that describes how a population's allele frequencies will change when acted upon by natural selection. [ 1 ] [ better source needed ]
Types and Programming Languages, ISBN 0-262-16209-1, is a book by Benjamin C. Pierce on type systems published in 2002. A review by Frank Pfenning called it "probably the single most important book in the area of programming languages in recent years."
Example for a trait under positive selection. The Price equation shows that a change in the average amount of a trait in a population from one generation to the next is determined by the covariance between the amounts of the trait for subpopulation and the fitnesses of the subpopulations, together with the expected change in the amount of the trait value due to fitness, namely ():
Genetic architecture is an overall explanation of all the genetic factors that play a role in a complex trait and exists as the core foundation of quantitative genetics. With the use of mathematical models and statistical analysis, like GWAS, researchers can determine the number of genes affecting a trait as well as the level of influence each ...
A genetic marker is a gene or DNA sequence with a known location on a chromosome that can be used to identify individuals or species.It can be described as a variation (which may arise due to mutation or alteration in the genomic loci) that can be observed.
A monohybrid cross is a cross between two organisms with different variations at one genetic locus of interest. [1] [2] The character(s) being studied in a monohybrid cross are governed by two or multiple variations for a single location of a gene.
Developing software for pattern recognition is a major topic in genetics, molecular biology, and bioinformatics.Specific sequence motifs can function as regulatory sequences controlling biosynthesis, or as signal sequences that direct a molecule to a specific site within the cell or regulate its maturation.