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Foundations and applications of computational genomics

  • University of Sharjah

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

High-throughput technologies have been utilized extensively in life science due to their ability to generate and analyze large datasets, which has revolutionized research methodologies and enabled scientists to explore and understand biological systems at unprecedented levels of detail. These technologies aid in identifying and comprehending human disorders in terms of genomics and proteomics by utilizing the rapidly expanding field of bioinformatics, which analyzes large amounts of biological data, combining biology, statistics, and computer science. To construct a hypothetical phenomenon in drug research and discovery, several computational models aid in understanding and predicting disease states, development, screens, and photography circumstances. This chapter covers the many models and platforms using sophisticated technology for genetic diseases or conditions. Lastly, clarify by going over developmental areas and using a case study.

Original languageEnglish
Title of host publicationDeep Learning in Genetics and Genomics
Subtitle of host publicationVolume 1: Foundations and Introductory Applications
PublisherElsevier
Pages59-75
Number of pages17
ISBN (Electronic)9780443275746
ISBN (Print)9780443275753
DOIs
StatePublished - 1 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bioinformatics
  • Cancer
  • Computational tools
  • Genomics
  • Proteomics

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