SPDEv3.0: A multidisciplinary integrated data analysis platform

Plant research faces persistent challenges in integrating heterogeneous data and ensuring compatibility across diverse analytical pipelines. The limited automation of existing tools often results in fragmented workflows, reducing analytical efficiency and reproducibility. To address these limitations, we developed SPDEv3.0 as a fully integrated bioinformatics platform with a graphical user interface, consolidating more than 130 functions across seven logically connected modules. SPDEv3.0 streamlines key tasks such as gene family identification, primer design, and genome feature extraction through high-level automation, enabling users to perform complex bioinformatic workflows with minimal manual intervention. For instance, collinearity analysis between Arabidopsis thaliana and A. halleri can be completed in under 2 min using only genome and annotation files, with all intermediate steps executed automatically. In addition, SPDEv3.0 offers over 30 customizable visualization functions, including genomic feature mapping, domain structure illustration, heatmaps, Circos plots, and statistical charting, all designed to help users generate publication-ready figures without coding. A total of 40 classical breeding methods have been implemented in SPDEv3.0, all of which support automated computation following user data input. Benchmarking across a range of plant genomes (including those exceeding 14 Gb) demonstrates SPDEv3.0's robust performance, scalability, and practical utility. By integrating high automation, module interoperability, and extensive visualization capacity, SPDEv3.0 provides a powerful and accessible solution for modern plant genomics and breeding research.

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Publication Details

Journal
PLANT PHYSIOLOGY
Published
2025-10-22
DOI
https://doi.org/10.1093/plphys/kiaf537
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.61
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article

SPDEv3.0: A multidisciplinary integrated data analysis platform

Kangming Jin, Y. H. Li, Xianjia Zhao, Zewei An et al.
2 citations
PLANT PHYSIOLOGY
Genomics and Phylogenetic Studies
1.61
article

SPDEv3.0: A multidisciplinary integrated data analysis platform

Kangming Jin, Y. H. Li, Xianjia Zhao, Zewei An, Tingkai Wu, Wenguan Wu, Xiaobo Wang, Quanling Zhang, Zhi Deng, Han Cheng, Dong Xu, Yuan Yuan
article en
2 citations

Abstract

Plant research faces persistent challenges in integrating heterogeneous data and ensuring compatibility across diverse analytical pipelines. The limited automation of existing tools often results in fragmented workflows, reducing analytical efficiency and reproducibility. To address these limitations, we developed SPDEv3.0 as a fully integrated bioinformatics platform with a graphical user interface, consolidating more than 130 functions across seven logically connected modules. SPDEv3.0 streamlines key tasks such as gene family identification, primer design, and genome feature extraction through high-level automation, enabling users to perform complex bioinformatic workflows with minimal manual intervention. For instance, collinearity analysis between Arabidopsis thaliana and A. halleri can be completed in under 2 min using only genome and annotation files, with all intermediate steps executed automatically. In addition, SPDEv3.0 offers over 30 customizable visualization functions, including genomic feature mapping, domain structure illustration, heatmaps, Circos plots, and statistical charting, all designed to help users generate publication-ready figures without coding. A total of 40 classical breeding methods have been implemented in SPDEv3.0, all of which support automated computation following user data input. Benchmarking across a range of plant genomes (including those exceeding 14 Gb) demonstrates SPDEv3.0's robust performance, scalability, and practical utility. By integrating high automation, module interoperability, and extensive visualization capacity, SPDEv3.0 provides a powerful and accessible solution for modern plant genomics and breeding research.

PLANT PHYSIOLOGYVol. 199(3)
Chinese Academy of Tropical Agricultural Sciences (CN), Shanghai Jiao Tong University (CN), Agricultural Genomics Institute at Shenzhen (CN), Ministry of Education (KR), Chinese Academy of Agricultural Sciences (CN), Sanya University (CN), Ministry of Agriculture and Rural Affairs (CN), Zhejiang University (CN)
Openalex Percentile: Top 14%
Genomics and Phylogenetic Studies
1.61
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