Evolutionary bioinformatics

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  • Immediately after the first drafts of the human genome sequence were reported almost a decade ago, the importance of genomics and functional genomics studies became well recognized across the broad disciplines of biological sciences research.

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  • This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. Concerning evolutionbased optimization methods, this book presents diverse versions of genetic algorithms, genetic programming, and performance studies and analyses, as well as several particle swarm optimizers and hybrid approaches using neural networks and artificial immunological systems for multi-objective optimization....

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  • In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.[1] Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. Gaps are inserted between the residues so that identical or similar characters are aligned in successive columns.

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  • This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics.

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  • In an effort to shed more light on the early evolutionary history of the heavy-chain subunits of heteromeric amino acid transporters (hcHATs) rBAT and 4F2hc within the a-amylase family GH13, a bioinformatics study was undertaken.

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