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Titlebook: Computational Methods in Genome Research; Sándor Suhai Book 1994 Springer Science+Business Media New York 1994 Chromosom.DNA.chromosome.da

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书目名称Computational Methods in Genome Research
编辑Sándor Suhai
视频video
图书封面Titlebook: Computational Methods in Genome Research;  Sándor Suhai Book 1994 Springer Science+Business Media New York 1994 Chromosom.DNA.chromosome.da
描述The application of computational methods to solve scientific and pratical problems in genome research created a new interdisciplinary area that transcends boundaries traditionally separating genetics, biology, mathematics, physics, and computer science. Computers have been, of course, intensively used for many year~ in the field of life sciences, even before genome research started, to store and analyze DNA or proteins sequences, to explore and model the three-dimensional structure, the dynamics and the function of biopolymers, to compute genetic linkage or evolutionary processes etc. The rapid development of new molecular and genetic technologies, combined with ambitious goals to explore the structure and function of genomes of higher organisms, has generated, however, not only a huge and burgeoning body of data but also a new class of scientific questions. The nature and complexity of these questions will require, beyond establishing a new kind of alliance between experimental and theoretical disciplines, also the development of new generations both in computer software and hardware technologies, respectively. New theoretical procedures, combined with powerful computational facil
出版日期Book 1994
关键词Chromosom; DNA; chromosome; databases; development; evolution; genetics; genome mapping; polymer; protein; pro
版次1
doihttps://doi.org/10.1007/978-1-4615-2451-9
isbn_softcover978-1-4613-6042-1
isbn_ebook978-1-4615-2451-9
copyrightSpringer Science+Business Media New York 1994
The information of publication is updating

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Book 1994these questions will require, beyond establishing a new kind of alliance between experimental and theoretical disciplines, also the development of new generations both in computer software and hardware technologies, respectively. New theoretical procedures, combined with powerful computational facil
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Data Management Tools for Scientific Applications: Framework, Status, and Genomic Applications,share data, such heterogeneous data management systems need a unified (integrated) view of their underlying applications. The semantic (schema) integration process required for constructing such a view involves complex structural and data conversion mappings..We discuss in this paper problems concer
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Statistical Models of Chromosome Evolution, Darwinian evolution came out of a consideration of a combination of animal and plant breeding, adaptation of organism to environment, and comparative studies both morphological and biogeographical. The aim of phylogenetic inference is narrower. It attempts to elucidate the order of descent of organ
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