Atjaunināt sīkdatņu piekrišanu

E-grāmata: Computers and DNA

  • Formāts: 296 pages
  • Izdošanas datums: 20-Feb-2018
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9780429970016
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 68,87 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: 296 pages
  • Izdošanas datums: 20-Feb-2018
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9780429970016
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

The fields of molecular biology and genetics are faced with an enormous accumulation of information DNA sequencing, associated sequences of amino acids in proteins, genetics, macromolecular structures and other sets have created a quantitative backlog of data which needs to be organized and analyzed.

The fields of molecular biology and genetics are faced with an enormous accumulation of information: DNA sequencing, associated sequences of amino acids in proteins, genetics, macromolecular structures and other sets have created a quantitative backlog of data which needs to be organized and analyzed. Moreover, the rate of data acquisitions is accelerating as improved technologies are used and as organized programs such as the Human Genome Initiative are established. Because of this data's importance, molecular biologists have turned to computational scientists for help in processing this mass of information.The Santa Fe Institute organized a workshop on "The Interface Between Computational Science and DNA Sequencing" in 1998 to address this information crisis. Approximately one hundred molecular biologists, computer scientists, mathematicians, and other scientists in diverse fields met to discuss how computational science can best keep pace with molecular biology. The papers presented at that meeting and included in this volume serve as a comprehensive introduction to the field and as a discussion of research on some of the current problems.
Preface , Introductory , The Human Genome: An Introduction , Computation and the Human Genome Project: An Historical Perspective , What We Have Learned and Will Learn from Sequence Databases , Databases , The Flow of Nucleotide Sequence Data into Data Banks: Role and Impact of Large-Scale Sequencing Projects , DNA Data Bank of Japan: Present Status and Future Plans , BIONET: Status and Future Plans , The Human Gene Mapping Library: Present Status and Future Directions , Sequence Comparisons , High-Efficiency Sequence Database Searching: Use of the Distributed Array Processor , Sequence Searching on Supercomputers , Protein Sequence Comparison on the Connection Machine CM-2 , Computation of d 2: A Measure of Sequence Dissimilarity , Multiple Hypothesis Testing for Sequence Comparisons , Analysis , Superhelical Transitions and DNA Regulation , Non-Continuous Patterns and Compositional Complexity of Nucleic Acid Sequences , Application of Neural Networks and Other Machine Learning Algorithms to DNA Sequence Analysis , CPGA 1 : A Prototype for Analysis of the Sequence-Structure-Function Relationship in the Human Genome Project , Statistical of Nucleic Acid Sequences , GeneSys: A Knowledge Management System for Molecular Biology , Simulation and Analysis of Physical Mapping , Genetic Sequence Semantic and Syntactic Patterns
Thomas Marr