Optimization aims to make a system or design as effective or functional as possible.
Mathematical optimization methods are widely used in engineering, economics and science …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

The human genome is diploid, which requires assigning heterozygous single nucleotide
polymorphisms (SNPs) to the two copies of the genome. The resulting haplotypes, lists of …

Background Optimization is the key to solving many problems in computational biology.
Global optimization methods, which provide a robust methodology, and metaheuristics in …

The enormous complexity of biological systems at the molecular level must be answered
with powerful computational methods. Computational biology is a young field, but has seen …

Many important problems arising in computational biochemistry and genomics have been
formulated in terms of underlying combinatorial optimization models. In particular, a number …

Genome sequencing studies to date have generally sought to assemble consensus
genomes by merging sequence contributions from multiple homologous copies of each …

Motivation: Haplotype reconstruction based on aligned single nucleotide polymorphism
(SNP) fragments is to infer a pair of haplotypes from localized polymorphism data gathered …

I have addressed the biological rather than bioinformatics aspects of molecular sequence
alignment by covering a series of topics that have been under-valued, particularly within the …

Current genotyping approaches for single-nucleotide variations rely on short, accurate reads
from second-generation sequencing devices. Presently, third-generation sequencing …