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Bioinformatics is a multidisciplinary field that develops system tools and software for understanding more substantial biological data. It is an interdisciplinary field of science, which combines computer science, biology, mathematics, information engineering, and statistics to analyze and interpret biological data. The essential divisions of bioinformatics include biological databases, gene and promoter prediction, sequence alignment, structural bioinformatics, molecular phylogenetics, genomics, and proteomics. Bioinformatics has not only vital for genomic and molecular engineering research, but it has a significant impact on many research areas of biotechnology and biomedical sciences in modelling experimental design. The applications of bioinformatics include molecular medicine, personalized medicine, preventative medicine, gene therapy, drug development, Waste clean-up, microbial genome, climate change studies, alternative energy sources, antibiotic resistance, biotechnology, forensic analysis of microbes, crop improvement, veterinary science, etc. Bioinformatics tools are very appropriate in prediction analytics, analysis and interpretation of preclinical and clinical findings as it shows an increasingly significant role in almost all aspects of drug discovery and drug development. Bioinformatics is used to detect and structurally alter a natural molecule, to design a combination with the preferred properties and to evaluate its therapeutic effects, using theoretical models.

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Related Subjects

  • Biodiversity informatics
  • Bioimage informatics
  • Biomedical text mining
  • Computational biology
  • Computational biomodelling
  • Computational genomics
  • Data Analysis for Life Sciences
  • Databases and ontologies
  • Design of synthetic genetic circuits
  • DNA sequencing
  • Flow cytometry bioinformatics
  • Functional genomics
  • Gene expression
  • Genetics and population analysis
  • Genome analysis
  • Genomic Data Science
  • Health informatics
  • Interaction Analysis
  • Medical Informatics
  • Metabolomics
  • Morphometrics
  • Network Analysis
  • Next-Generation Sequencing
  • Nucleic acid sequence
  • Ontologies and data integration
  • Phylogenetics
  • Proteomics
  • Sequence assembly
  • Statistics and computational linguistics
  • Structural bioinformatics
  • Structure analysis
  • Systems biology

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