@article{hou_plant_2024,
	title = {Plant pan-genomics: opportunities, advances, and challenges},
	copyright = {https://creativecommons.org/licenses/by/4.0/},
	issn = {2972-3841},
	shorttitle = {Plant {Pan}-{Genomics}},
	url = {https://ojs.bonviewpress.com/index.php/jdsis/article/view/3107},
	doi = {10.47852/bonviewJDSIS42023107},
	abstract = {The pan-genome concept encompasses all individual genome sequences within a species, comprising both core and variable genes. In recent years, it has emerged as a promising avenue for advancing plant genetic evolution and cultivating desirable traits. This review delves into the methodologies for constructing the pan-genome, encompassing various assembly techniques and strategies for representing this data in graphical or linear formats. Emphasis is placed on the critical aspects of high-quality genome assembly, precise annotation, homologous gene identification, and judicious sample selection in pan-genome analysis. Furthermore, we investigate the pan genome's applications in plant genomics, particularly in elucidating genetic transformations during domestication, uncovering genetic variations linked to agronomic traits, and offering insights to guide breeding endeavors.
 
Received: 14 April 2024 {\textbar} Revised: 13 May 2024{\textbar} Accepted: 4 June 2024
 
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
 
Author Contribution Statement
Mingjun Hou: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review \& editing, Visualization, Supervision, Project administration. Shaozi Pang: Writing - review \& editing, Visualization, Supervision.},
	urldate = {2025-02-10},
	journal = {Journal of Data Science and Intelligent Systems},
	author = {Hou, Mingjun and Pang, Shaozi},
	month = jun,
	year = {2024},
}

{"_id":"XvoAu6cbaGdFHXqpg","bibbaseid":"hou-pang-plantpangenomicsopportunitiesadvancesandchallenges-2024","author_short":["Hou, M.","Pang, S."],"bibdata":{"bibtype":"article","type":"article","title":"Plant pan-genomics: opportunities, advances, and challenges","copyright":"https://creativecommons.org/licenses/by/4.0/","issn":"2972-3841","shorttitle":"Plant Pan-Genomics","url":"https://ojs.bonviewpress.com/index.php/jdsis/article/view/3107","doi":"10.47852/bonviewJDSIS42023107","abstract":"The pan-genome concept encompasses all individual genome sequences within a species, comprising both core and variable genes. In recent years, it has emerged as a promising avenue for advancing plant genetic evolution and cultivating desirable traits. This review delves into the methodologies for constructing the pan-genome, encompassing various assembly techniques and strategies for representing this data in graphical or linear formats. Emphasis is placed on the critical aspects of high-quality genome assembly, precise annotation, homologous gene identification, and judicious sample selection in pan-genome analysis. Furthermore, we investigate the pan genome's applications in plant genomics, particularly in elucidating genetic transformations during domestication, uncovering genetic variations linked to agronomic traits, and offering insights to guide breeding endeavors.   Received: 14 April 2024 \\textbar Revised: 13 May 2024\\textbar Accepted: 4 June 2024   Conflicts of Interest The authors declare that they have no conflicts of interest to this work.   Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study.   Author Contribution Statement Mingjun Hou: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Shaozi Pang: Writing - review & editing, Visualization, Supervision.","urldate":"2025-02-10","journal":"Journal of Data Science and Intelligent Systems","author":[{"propositions":[],"lastnames":["Hou"],"firstnames":["Mingjun"],"suffixes":[]},{"propositions":[],"lastnames":["Pang"],"firstnames":["Shaozi"],"suffixes":[]}],"month":"June","year":"2024","bibtex":"@article{hou_plant_2024,\n\ttitle = {Plant pan-genomics: opportunities, advances, and challenges},\n\tcopyright = {https://creativecommons.org/licenses/by/4.0/},\n\tissn = {2972-3841},\n\tshorttitle = {Plant {Pan}-{Genomics}},\n\turl = {https://ojs.bonviewpress.com/index.php/jdsis/article/view/3107},\n\tdoi = {10.47852/bonviewJDSIS42023107},\n\tabstract = {The pan-genome concept encompasses all individual genome sequences within a species, comprising both core and variable genes. In recent years, it has emerged as a promising avenue for advancing plant genetic evolution and cultivating desirable traits. This review delves into the methodologies for constructing the pan-genome, encompassing various assembly techniques and strategies for representing this data in graphical or linear formats. Emphasis is placed on the critical aspects of high-quality genome assembly, precise annotation, homologous gene identification, and judicious sample selection in pan-genome analysis. Furthermore, we investigate the pan genome's applications in plant genomics, particularly in elucidating genetic transformations during domestication, uncovering genetic variations linked to agronomic traits, and offering insights to guide breeding endeavors.\n \nReceived: 14 April 2024 {\\textbar} Revised: 13 May 2024{\\textbar} Accepted: 4 June 2024\n \nConflicts of Interest\nThe authors declare that they have no conflicts of interest to this work.\n \nData Availability Statement\nData sharing is not applicable to this article as no new data were created or analyzed in this study.\n \nAuthor Contribution Statement\nMingjun Hou: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review \\& editing, Visualization, Supervision, Project administration. 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