Recent developments and future directions in meta-analysis of differential gene expression in livestock RNA-Seq.
Autor: | Keel BN; USDA-ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, United States., Lindholm-Perry AK; USDA-ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, United States. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in genetics [Front Genet] 2022 Sep 19; Vol. 13, pp. 983043. Date of Electronic Publication: 2022 Sep 19 (Print Publication: 2022). |
DOI: | 10.3389/fgene.2022.983043 |
Abstrakt: | Decreases in the costs of high-throughput sequencing technologies have led to continually increasing numbers of livestock RNA-Seq studies in the last decade. Although the number of studies has increased dramatically, most livestock RNA-Seq experiments are limited by cost to a small number of biological replicates. Meta-analysis procedures can be used to integrate and jointly analyze data from multiple independent studies. Meta-analyses increase the sample size, which in turn increase both statistical power and robustness of the results. In this work, we discuss cutting edge approaches to combining results from multiple independent RNA-Seq studies to improve livestock transcriptomics research. We review currently published RNA-Seq meta-analyses in livestock, describe many of the key issues specific to RNA-Seq meta-analysis in livestock species, and discuss future perspectives. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Keel and Lindholm-Perry.) |
Databáze: | MEDLINE |
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