RNA Biology
Volume 18, 2021 - Issue 11
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Technical Paper
3D RNA-seq: a powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists
Wenbin Guoa Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK;b Information and Computational Sciences, The James Hutton Institute, Dundee, UK
https://orcid.org/0000-0002-1829-6044View further author information
Nikoleta A Tzioutzioua Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UKView further author information
, Gordon Stephenb Information and Computational Sciences, The James Hutton Institute, Dundee, UKView further author information
, Iain Milneb Information and Computational Sciences, The James Hutton Institute, Dundee, UK
https://orcid.org/0000-0002-4126-0859View further author information
Cristiane PG Calixtoa Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
https://orcid.org/0000-0002-9935-9325View further author information
Robbie Waugha Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK;c Cell and Molecular Sciences, The James Hutton Institute, Dundee, UKView further author information
, John W. S. Browna Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK;c Cell and Molecular Sciences, The James Hutton Institute, Dundee, UKCorrespondence[email protected]
View further author information
& View further author information
Runxuan Zhangb Information and Computational Sciences, The James Hutton Institute, Dundee, UKCorrespondence[email protected]
https://orcid.org/0000-0001-7558-765XView further author information
Pages 1574-1587
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Received 08 Sep 2020, Accepted 27 Nov 2020, Published online: 19 Dec 2020
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