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Genome Clustering


Menge:  Stück  
Produktinformationen
cover
cover
Artikel-Nr.:
     858A-9783642263408
Hersteller:
     Springer Verlag
Herst.-Nr.:
     9783642263408
EAN/GTIN:
     9783642263408
Suchbegriffe:
Anwendungssoftware (Fachbücher)
Anwendungssoftwarebücher
Bücher für Datenbanken - englischsp...
Bücher zu Anwendungs-Software - eng...
Knighting in sequence biology Edward N. Trifonov Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast - versity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic traits and habitats are not anymore the playground for the classi- cation. The sequence space is the playground now. The phenotypic traits are - placed by sequence characteristics, "words", in particular. Matter-of-factually, the phenotype and genotype merged, to confusion of both classical and modern p- logeneticists. Accordingly, a completely new vocabulary of stringology, information theory and applied mathematics took over. And a new brand of scientists emerged - those who do know the math and, simultaneously, (do?) know biology. The book is written by the authors of this new brand. There is no way to test their literacy in biology, as no biologist by training would even try to enter into the elite circle of those who masters their almost occult language. But the army of - formaticians, formal linguists, mathematicians humbly (or aggressively) longing to join modern biology, got an excellent introduction to the field of genome cl- tering, written by the team of their kin.
Weitere Informationen:
Author:
Alexander Bolshoy; Zeev Volkovich; Valery Kirzhner; Zeev Barzily
Verlag:
Springer Berlin
Sprache:
eng
Weitere Suchbegriffe: Datenbanken (Fachbücher), Datenbankenbücher, datenbanken (fachbücher), Bioinformatics; Computational Intelligence; General Spectum Approach; Genetics; Genome; classification, Bioinformatics, Computational Intelligence, General Spectum Approach, classification, genetics, genome
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