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Statistics for Bioinformatics

- Methods for Multiple Sequence Alignment

Bag om Statistics for Bioinformatics

With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs. This book provides an in-depth introduction to the most widely used methods and software. Understand the dynamics that animate Health SystemsThese studies explore tracks to build sustainable and equal architecture of health systemsThe advantages and disadvantages of the different ways of care integration and the managment of Health information

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781785482168
  • Indbinding:
  • Hardback
  • Sideantal:
  • 146
  • Udgivet:
  • 23. november 2016
  • Størrelse:
  • 239x162x14 mm.
  • Vægt:
  • 368 g.
  • BLACK WEEK
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 9. december 2024

Beskrivelse af Statistics for Bioinformatics

With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs. This book provides an in-depth introduction to the most widely used methods and software.
Understand the dynamics that animate Health SystemsThese studies explore tracks to build sustainable and equal architecture of health systemsThe advantages and disadvantages of the different ways of care integration and the managment of Health information

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