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The Progression in Developing Genomic Resources for Crop Improvement.

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Life (Basel, Switzerland)

|August 26, 2023

Summary

This summary is machine-generated.

Advancements in DNA sequencing technologies have revolutionized genomics, enabling more data generation at lower costs. This evolution drives new plant genome assembly methods and bioinformatics tools for data interpretation.

Keywords:

artificial intelligence assemblies big data bioinformatics tools databases machine learning pan-genomes plant genomes sequencing technologies

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Area of Science:

Genomics and Bioinformatics
Molecular Biology
Computational Biology

Background:

DNA sequencing technologies have undergone rapid evolution and commercialization over the past two decades.
Emerging technologies aim to increase data output while reducing input requirements and costs.
This progress has expanded genomics applications and necessitated advancements in computational infrastructure.

Purpose of the Study:

To review the evolution of DNA sequencing technologies.
To highlight their role in plant genome assembly and downstream applications.
To examine the parallel development of bioinformatics tools and skills.

Main Methods:

Literature review of sequencing technologies.
Analysis of their impact on plant genomics.
Examination of bioinformatics tool development and research team evolution.

Main Results:

Sequencing technology advancements have enabled large-scale plant genome assemblies.
Increased data generation necessitates sophisticated bioinformatics approaches for interpretation.
Researchers are increasingly shifting focus from wet lab to computational analysis.

Conclusions:

The historical progression of sequencing technologies informs future applications.
Integrated development of sequencing tech and bioinformatics is crucial for genomics progress.
Understanding this co-evolution is key to addressing data analysis challenges in plant genomics.