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Shian Su

Showing results (1-10 of 25) with videos related to

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NAR Genomics and Bioinformatics|January 6, 2022
Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with <i>Glimma</i> 2.0Hasaru Kariyawasam, Shian Su, Oliver Voogd, et al.
Genome Biology|February 9, 2020
Opportunities and challenges in long-read sequencing data analysisShanika L Amarasinghe, Shian Su, Xueyi Dong, et al.
Bioinformatics (Oxford, England)|November 29, 2019
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methodsShian Su, Luyi Tian, Xueyi Dong, et al.
F1000Research|June 29, 2019
BiocPkgTools: Toolkit for mining the <i>Bioconductor</i> package ecosystemShian Su, Vincent J Carey, Lori Shepherd, et al.
Plos Computational Biology|October 25, 2021
NanoMethViz: An R/Bioconductor package for visualizing long-read methylation dataShian Su, Quentin Gouil, Marnie E Blewitt, et al.
Genome Biology|December 15, 2021
Benchmarking UMI-based single-cell RNA-seq preprocessing workflowsYue You, Luyi Tian, Shian Su, et al.
F1000Research|January 16, 2019
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeRCharity W Law, Monther Alhamdoosh, Shian Su, et al.
Bioinformatics (Oxford, England)|February 17, 2017
Glimma: interactive graphics for gene expression analysisShian Su, Charity W Law, Casey Ah-Cann, et al.
NAR Genomics and Bioinformatics|November 24, 2025
stPipe: a flexible and streamlined R/Bioconductor pipeline for preprocessing sequencing-based spatial transcriptomics dataYang Xu, Callum J Sargeant, Yue You, et al.
F1000Research|March 17, 2025
A streamlined workflow for long-read DNA methylation analysis with NanoMethViz and BioconductorShian Su, Lucinda Xiao, James Lancaster, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
NAR Genomics and Bioinformatics|January 6, 2022
Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with <i>Glimma</i> 2.0Hasaru Kariyawasam, Shian Su, Oliver Voogd, et al.
Genome Biology|February 9, 2020
Opportunities and challenges in long-read sequencing data analysisShanika L Amarasinghe, Shian Su, Xueyi Dong, et al.
Bioinformatics (Oxford, England)|November 29, 2019
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methodsShian Su, Luyi Tian, Xueyi Dong, et al.
F1000Research|June 29, 2019
BiocPkgTools: Toolkit for mining the <i>Bioconductor</i> package ecosystemShian Su, Vincent J Carey, Lori Shepherd, et al.
Plos Computational Biology|October 25, 2021
NanoMethViz: An R/Bioconductor package for visualizing long-read methylation dataShian Su, Quentin Gouil, Marnie E Blewitt, et al.
Genome Biology|December 15, 2021
Benchmarking UMI-based single-cell RNA-seq preprocessing workflowsYue You, Luyi Tian, Shian Su, et al.
F1000Research|January 16, 2019
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeRCharity W Law, Monther Alhamdoosh, Shian Su, et al.
Bioinformatics (Oxford, England)|February 17, 2017
Glimma: interactive graphics for gene expression analysisShian Su, Charity W Law, Casey Ah-Cann, et al.
NAR Genomics and Bioinformatics|November 24, 2025
stPipe: a flexible and streamlined R/Bioconductor pipeline for preprocessing sequencing-based spatial transcriptomics dataYang Xu, Callum J Sargeant, Yue You, et al.
F1000Research|March 17, 2025
A streamlined workflow for long-read DNA methylation analysis with NanoMethViz and BioconductorShian Su, Lucinda Xiao, James Lancaster, et al.
Pageof 3