Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166655
Title: Toward kingdom-wide analyses of gene expression
Authors: Julca, Irene
Tan, Qiao Wen
Mutwil, Marek
Keywords: Science::Biological sciences
Issue Date: 2023
Source: Julca, I., Tan, Q. W. & Mutwil, M. (2023). Toward kingdom-wide analyses of gene expression. Trends in Plant Science, 28(2), 235-249. https://dx.doi.org/10.1016/j.tplants.2022.09.007
Project: SFS_RND_SUFP_001_05 
MOE2018-T2-2-053 
Journal: Trends in Plant Science 
Abstract: Gene expression data for Archaeplastida are accumulating exponentially, with more than 300 000 RNA-sequencing (RNA-seq) experiments available for hundreds of species. The gene expression data stem from thousands of experiments that capture gene expression in various organs, tissues, cell types, (a)biotic perturbations, and genotypes. Advances in software tools make it possible to process all these data in a matter of weeks on modern office computers, giving us the possibility to study gene expression in a kingdom-wide manner for the first time. We discuss how the expression data can be accessed and processed and outline analyses that take advantage of cross-species analyses, allowing us to generate powerful and robust hypotheses about gene function and evolution.
URI: https://hdl.handle.net/10356/166655
ISSN: 1360-1385
DOI: 10.1016/j.tplants.2022.09.007
Schools: School of Biological Sciences 
Rights: © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

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