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Bioinformatics in bioscience and bioengineering: Recent advances, applications, and perspectives.

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Area of Science:

  • * Bioinformatics
  • * Computational Biology
  • * Data Science in Biology

Background:

  • * Advanced technologies like omics and bioimaging generate massive datasets.
  • * Traditional research methods struggle with the scale and complexity of this data.
  • * Bioinformatics offers computational solutions for biological data interpretation.

Purpose of the Study:

  • * To review the latest bioinformatics methodologies and applications.
  • * To provide an accessible overview for researchers new to the field.
  • * To cover sequencing, imaging, and mass spectrometry techniques.

Main Methods:

  • * Review of bioinformatics applications in next-generation sequencing (genomics, transcriptomics, microbiome).
  • * Introduction to bioinformatic analysis for microscopy imaging in cell biology and plant physiology.
  • * Exploration of informatics for mass spectrometry data, including structure prediction and untargeted analysis.

Main Results:

  • * Detailed overview of bioinformatics tools for analyzing sequencing data.
  • * Explanation of imaging informatics techniques for biological samples.
  • * Discussion of mass spectrometry data analysis methods and their applications.

Conclusions:

  • * Bioinformatics is essential for extracting insights from large biological datasets.
  • * This review equips biologists with foundational knowledge to utilize bioinformatics effectively.
  • * Future trends in bioinformatics for biological research are discussed.