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Seung Y Rhee

Showing results (1-10 of 96) with videos related to

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Trends in Plant Science|March 18, 2014
Interview with Seung Yon RheeSeung Y Rhee
Biochimica Et Biophysica Acta. Gene Regulatory Mechanisms|September 20, 2016
Computational inference of gene regulatory networks: Approaches, limitations and opportunitiesMichael Banf, Seung Y Rhee
Current Opinion in Plant Biology|May 5, 2022
Omics-guided metabolic pathway discovery in plants: Resources, approaches, and opportunitiesKangmei Zhao, Seung Y Rhee
Plant Direct|July 10, 2023
Status of genome function annotation in model organisms and cropsBo Xue, Seung Y Rhee
Scientific Reports|February 2, 2017
Enhancing gene regulatory network inference through data integration with markov random fieldsMichael Banf, Seung Y Rhee
Briefings in Bioinformatics|April 12, 2017
Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolitesArvind K Chavali, Seung Y Rhee
Bio-Protocol|February 15, 2023
Evaluating Plant Drought Resistance with a Raspberry Pi and Time-lapse PhotographyDaniel N Ginzburg, Seung Y Rhee
G3 (Bethesda, Md.)|July 31, 2019
QTG-Finder: A Machine-Learning Based Algorithm To Prioritize Causal Genes of Quantitative Trait Loci in Arabidopsis and RiceFan Lin, Jue Fan, Seung Y Rhee
Functional & Integrative Genomics|February 19, 2003
Arabidopsis genomic information for interpreting wheat EST sequencesBryan Clarke, Mark Lambrecht, Seung Y Rhee
Bioinformatics (Oxford, England)|January 19, 2019
METACLUSTER-an R package for context-specific expression analysis of metabolic gene clustersMichael Banf, Kangmei Zhao, Seung Y Rhee
Pageof 10

Showing results (1-10 of 96) with videos related to

Sort By:
Pageof 10
Trends in Plant Science|March 18, 2014
Interview with Seung Yon RheeSeung Y Rhee
Biochimica Et Biophysica Acta. Gene Regulatory Mechanisms|September 20, 2016
Computational inference of gene regulatory networks: Approaches, limitations and opportunitiesMichael Banf, Seung Y Rhee
Current Opinion in Plant Biology|May 5, 2022
Omics-guided metabolic pathway discovery in plants: Resources, approaches, and opportunitiesKangmei Zhao, Seung Y Rhee
Plant Direct|July 10, 2023
Status of genome function annotation in model organisms and cropsBo Xue, Seung Y Rhee
Scientific Reports|February 2, 2017
Enhancing gene regulatory network inference through data integration with markov random fieldsMichael Banf, Seung Y Rhee
Briefings in Bioinformatics|April 12, 2017
Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolitesArvind K Chavali, Seung Y Rhee
Bio-Protocol|February 15, 2023
Evaluating Plant Drought Resistance with a Raspberry Pi and Time-lapse PhotographyDaniel N Ginzburg, Seung Y Rhee
G3 (Bethesda, Md.)|July 31, 2019
QTG-Finder: A Machine-Learning Based Algorithm To Prioritize Causal Genes of Quantitative Trait Loci in Arabidopsis and RiceFan Lin, Jue Fan, Seung Y Rhee
Functional & Integrative Genomics|February 19, 2003
Arabidopsis genomic information for interpreting wheat EST sequencesBryan Clarke, Mark Lambrecht, Seung Y Rhee
Bioinformatics (Oxford, England)|January 19, 2019
METACLUSTER-an R package for context-specific expression analysis of metabolic gene clustersMichael Banf, Kangmei Zhao, Seung Y Rhee
Pageof 10