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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Proteomics01:33

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Related Experiment Video

Updated: May 16, 2025

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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Metagenomics studies in aquaculture systems: Big data analysis, bioinformatics, machine learning and quantum

Orkid Coskuner-Weber1, Semih Alpsoy1, Ozgur Yolcu1

  • 1Turkish-German University, Molecular Biotechnology, Sahinkaya Caddesi, No. 106, Beykoz, Istanbul 34820, Turkey.

Computational Biology and Chemistry
|April 5, 2025
PubMed
Summary

Metagenomics, a powerful tool, enhances microbial assessment and pathogen detection in aquaculture. This technology, aided by big data and AI, promises more sustainable and resilient aquaculture systems for global food security.

Keywords:
AquacultureBig data analysisBioinformaticsMachine learningMetagenomicsQuantum computing

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Area of Science:

  • Aquaculture
  • Microbial Ecology
  • Bioinformatics

Background:

  • Aquaculture is crucial for global food security, but dense populations increase disease risks.
  • Pathogen spread and abiotic stressors threaten aquaculture sustainability and yield.

Purpose of the Study:

  • To explore the potential of metagenomics for understanding microbial dynamics in aquaculture.
  • To assess the role of big data analytics, bioinformatics, and machine learning in improving microbial assessment and pathogen detection.

Main Methods:

  • Direct retrieval of genetic material from environmental samples (metagenomics).
  • Application of big data analytics, bioinformatics, and machine learning algorithms.
  • Exploration of quantum computing for enhanced data processing and model construction.

Main Results:

  • Metagenomics provides an expansive, unbiased profile of microbial biodiversity.
  • Enhanced precision in microbial assessment and pathogen detection was achieved.
  • Quantum computing shows potential for overcoming computational limitations.

Conclusions:

  • Metagenomics, combined with advanced computational tools, revolutionizes aquaculture management.
  • Continued technological integration is vital for resilient and sustainable aquaculture.
  • This approach supports meeting escalating global food demands.