458,09 €
508,99 €
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The Role of Bioinformatics in Agriculture
The Role of Bioinformatics in Agriculture
458,09
508,99 €
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This title includes a number of Open Access chapters. Advances in information technology and next generation sequencing have propelled the use of bioinformatics in agriculture, especially in the area of crop improvement. An extremely large amount of genomics data is available from plants and animals due to tremendous improvements in the field. This book acquaints readers with state-of-the-art sequencing technologies, recent developments in computing algorithms, and certain biological perspectiv…
508.99
  • Publisher:
  • ISBN-10: 1771880031
  • ISBN-13: 9781771880039
  • Format: 16 x 23.1 x 3.1 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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This title includes a number of Open Access chapters.

Advances in information technology and next generation sequencing have propelled the use of bioinformatics in agriculture, especially in the area of crop improvement. An extremely large amount of genomics data is available from plants and animals due to tremendous improvements in the field. This book acquaints readers with state-of-the-art sequencing technologies, recent developments in computing algorithms, and certain biological perspectives that influence development of bioinformatics tools by giving specific examples from model plant species. The challenge is now to make sense and use of this wealth of data.

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  • Publisher:
  • ISBN-10: 1771880031
  • ISBN-13: 9781771880039
  • Format: 16 x 23.1 x 3.1 cm, kieti viršeliai
  • Language: English English

This title includes a number of Open Access chapters.

Advances in information technology and next generation sequencing have propelled the use of bioinformatics in agriculture, especially in the area of crop improvement. An extremely large amount of genomics data is available from plants and animals due to tremendous improvements in the field. This book acquaints readers with state-of-the-art sequencing technologies, recent developments in computing algorithms, and certain biological perspectives that influence development of bioinformatics tools by giving specific examples from model plant species. The challenge is now to make sense and use of this wealth of data.

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