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Advances in Bioinformatics

Über Advances in Bioinformatics

The second edition of Advances in Bioinformatics presents the latest developments in bioinformatics in gene discovery, genome analysis, genomics, transcriptomics, proteomics, metabolomics, metabolic flux analysis, drug discovery, and drug repurposing. It includes advancements in the applications of bioinformatics in the analysis of non-coding RNA, next-generation sequencing, genome-scale modelling, high throughput drug screening, precision medicine, automation and artificial intelligence, and machine learning. The chapter also summarizes the technologies and concepts that form the basis of this functional genomics approach. Additionally, the book highlights some of the areas in which bioinformatics resources and methods are being developed to support the drug discovery pipeline. The chapter also discusses the role of bioinformatics in modelling and simulations of molecular biology systems in pathways identification and design. It is a valuable source of information for beginners in bioinformatics and students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in biomedical and allied sciences.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789819984008
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 376
  • Veröffentlicht:
  • 6. Februar 2024
  • Ausgabe:
  • 24002
  • Abmessungen:
  • 160x26x241 mm.
  • Gewicht:
  • 729 g.
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Beschreibung von Advances in Bioinformatics

The second edition of Advances in Bioinformatics presents the latest developments in bioinformatics in gene discovery, genome analysis, genomics, transcriptomics, proteomics, metabolomics, metabolic flux analysis, drug discovery, and drug repurposing. It includes advancements in the applications of bioinformatics in the analysis of non-coding RNA, next-generation sequencing, genome-scale modelling, high throughput drug screening, precision medicine, automation and artificial intelligence, and machine learning. The chapter also summarizes the technologies and concepts that form the basis of this functional genomics approach. Additionally, the book highlights some of the areas in which bioinformatics resources and methods are being developed to support the drug discovery pipeline. The chapter also discusses the role of bioinformatics in modelling and simulations of molecular biology systems in pathways identification and design. It is a valuable source of information for beginners in bioinformatics and students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in biomedical and allied sciences.

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