Author

Ruth Grene

Virginia TechORCID 0000-0001-8205-6232Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Song LiiD· 2 shared Ji‐Young LeeiD· 1 shared Jiyoung LeeiD· 1 shared Lenwood S. HeathiD· 1 shared Qi SongiD· 1 shared Shamima AkteriD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Song LiORCID

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2 papers

Recent·Most cited

Comparing Time Series Transcriptome Data Between Plants Using A Network Module Finding Algorithm

Jiyoung Lee, Lenwood S. Heath, Ruth Grene, Song Li

The paper describes a protocol to compare time series transcriptome data between plants using a network module finding algorithm to identify conserved developmental stages.

Plant Methods · Jun 1, 2019Peer-reviewedBioinformatics

Prediction of condition-specific regulatory maps in Arabidopsis using integrated genomic data

Qi Song, Ji‐Young Lee, Shamima Akter, Ruth Grene, Song Li

This study develops ConSReg to predict condition-specific gene regulatory networks in Arabidopsis using genomic data, showing improved performance with ATAC-seq and identifying key regulators in root cell types.

bioRxiv · Mar 1, 2019 · PreprintBioinformatics