Author

Junjie Fu

Chinese Academy of Agricultural SciencesORCID 0000-0002-4702-2392Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:zebrafish· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Cheng HeiD· 3 shared Guoying WangiD· 3 shared Frank F. WhiteiD· 2 shared Jun ZhengiD· 2 shared Sanzhen LiuiD· 2 shared Ying HuiD· 2 shared Christopher ToomajianiD· 1 shared Erliang ZengiD· 1 shared

Activity by Year

2015-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersGenomics

Cheng HeORCID

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3 papers

Recent·Most cited

Temporal Small RNA Expression Profiling Under Drought Reveals a Potential Regulatory Role of snoRNAs in Drought Responses of Maize

Jun Zheng, Erliang Zeng, Yicong Du, Cheng He, Ying Hu, Zhenzhen Jiao, Kai Wang, Wenxue Li, Maria Ludens, Junjie Fu, Haiyan Wang, Frank F. White, Guoying Wang, Sanzhen Liu

The paper profiles temporal small RNA expression in maize under drought stress and identifies snoRNAs as potential regulators of drought responses.

The Plant Genome · Feb 14, 2019Peer-reviewedGenomics

Unbiased K-mer Analysis Reveals Changes in Copy Number of Highly Repetitive Sequences During Maize Domestication and Improvement

Sanzhen Liu, Jun Zheng, Pierre Migeon, Jie Ren, Ying Hu, Cheng He, Hongjun Liu, Junjie Fu, Frank F. White, Christopher Toomajian, Guoying Wang

The paper uses k-mer analysis of maize genomes to identify changes in repetitive sequence copy numbers during domestication and improvement.

Scientific Reports · Feb 10, 2017Peer-reviewedGenomics

Maize pan-transcriptome provides novel insights into genome complexity and quantitative trait variation

Minliang Jin, Haijun Liu, Cheng He, Junjie Fu, Yingjie Xiao, Yuebin Wang, Weibo Xie, Guoying Wang, Jianbing Yan

This study identifies ePAVs in maize using RNA-seq data and links them to agronomic and metabolic traits, revealing novel sequences absent in the reference genome.

bioRxiv · Jul 12, 2015Genetics