The Progression in Developing Genomic Resources for Crop Improvement.
artificial intelligence
assemblies
big data
bioinformatics tools
databases
machine learning
pan-genomes
plant genomes
sequencing technologies
Journal
Life (Basel, Switzerland)
ISSN: 2075-1729
Titre abrégé: Life (Basel)
Pays: Switzerland
ID NLM: 101580444
Informations de publication
Date de publication:
31 Jul 2023
31 Jul 2023
Historique:
received:
15
06
2023
revised:
21
07
2023
accepted:
25
07
2023
medline:
26
8
2023
pubmed:
26
8
2023
entrez:
26
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37629524
pii: life13081668
doi: 10.3390/life13081668
pmc: PMC10455509
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Bill & Melinda Gates Foundation
ID : INV-037010
Pays : United States
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