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Gene Ontology: A Resource for Analysis and Interpretation of Biological Database

Bag om Gene Ontology: A Resource for Analysis and Interpretation of Biological Database

The gene ontology (GO) is a bioinformatics project which aims to merge the representation of gene and characteristics of gene product in all species. It is a thorough and updated compilation of biological information that is utilized as a resource for computational representation of the most recent scientific data available concerning coding as well as non-coding functions of genes. High-throughput biological datasets can be interpreted and analyzed using the GO resource. The goal of the GO analysis is to pinpoint the molecular functions, biological processes and cellular locations of the genes. It utilizes markup language in order to make the genetic data and curated attributes of gene products readable by machine, in a manner which is integrated across all species. This book provides comprehensive insights on gene ontology. It aims to shed light on some of the unexplored aspects of this subject. Those in search of information to further their knowledge will be greatly assisted by this book.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781647403805
  • Indbinding:
  • Hardback
  • Sideantal:
  • 258
  • Udgivet:
  • 26. September 2023
  • Størrelse:
  • 178x16x254 mm.
  • Vægt:
  • 667 g.
  • 8-11 hverdage.
  • 4. Oktober 2024
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Beskrivelse af Gene Ontology: A Resource for Analysis and Interpretation of Biological Database

The gene ontology (GO) is a bioinformatics project which aims to merge the representation of gene and characteristics of gene product in all species. It is a thorough and updated compilation of biological information that is utilized as a resource for computational representation of the most recent scientific data available concerning coding as well as non-coding functions of genes. High-throughput biological datasets can be interpreted and analyzed using the GO resource. The goal of the GO analysis is to pinpoint the molecular functions, biological processes and cellular locations of the genes. It utilizes markup language in order to make the genetic data and curated attributes of gene products readable by machine, in a manner which is integrated across all species. This book provides comprehensive insights on gene ontology. It aims to shed light on some of the unexplored aspects of this subject. Those in search of information to further their knowledge will be greatly assisted by this book.

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