RNA Sequencing Experimental Analysis Workflow Using Caenorhabditis elegans.

Autor:	Robledo J; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Nahar SR; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Ruiz MA; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Hendricks RJ; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Burks DJ; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Ladage ML; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Kwon T; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Azad RK; Department of Biological Sciences, University of North Texas, Denton, TX, USA., Padilla PA; Department of Biological Sciences, University of North Texas, Denton, TX, USA. pamela.padilla@unt.edu.
Jazyk:	angličtina
Zdroj:	Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2024; Vol. 2812, pp. 115-141.
DOI:	10.1007/978-1-0716-3886-6_6
Abstrakt:	RNA sequencing is an approach to transcriptomic profiling that enables the detection of differentially expressed genes in response to genetic mutation or experimental treatment, among other uses. Here we describe a method for the use of a customizable, user-friendly bioinformatic pipeline to identify differentially expressed genes in RNA sequencing data obtained from C. elegans, with attention to the improvement in reproducibility and accuracy of results. (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu