The Progression in Developing Genomic Resources for Crop Improvement

Ruperao, P and Rangan, P and Shah, T and Thakur, V and Kalia, S and Mayes, S and Rathore, A (2023) The Progression in Developing Genomic Resources for Crop Improvement. Life, 13 (8). 01-28. ISSN 2075-1729

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Sequencing technologies have rapidly evolved over the past two decades, and new technologies are being continually developed and commercialized. The emerging sequencing technologies target generating more data with fewer inputs and at lower costs. This has also translated to an increase in the number and type of corresponding applications in genomics besides enhanced computational capacities (both hardware and software). Alongside the evolving DNA sequencing landscape, bioinformatics research teams have also evolved to accommodate the increasingly demanding techniques used to combine and interpret data, leading to many researchers moving from the lab to the computer. The rich history of DNA sequencing has paved the way for new insights and the development of new analysis methods. Understanding and learning from past technologies can help with the progress of future applications. This review focuses on the evolution of sequencing technologies, their significant enabling role in generating plant genome assemblies and downstream applications, and the parallel development of bioinformatics tools and skills, filling the gap in data analysis techniques

Item Type: Article
Divisions: Center of Excellence in Genomics and Systems Biology
Uncontrolled Keywords: sequencing technologies, plant genomes, pan-genomes, assemblies, bioinformatics tools, databases, big data, artificial intelligence, machine learning
Subjects: Others > Crop Improvement
Others > Plant Genetics
Others > Genetics and Genomics
Depositing User: Mr Nagaraju T
Date Deposited: 01 Aug 2023 05:03
Last Modified: 01 Aug 2023 05:03
Official URL:
Projects: AVISA
Funders: AVISA, ICAR-BMGF, Department of Biotechnology, Government of India
Acknowledgement: PR was a supported by a grant from the Department of Biotechnology, Government of India and AVISA project. We also acknowledge the support of ICAR-BMGF towards the APC. The study is made possible through data available at, we thank the source of the database.
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