Evaluating Methods for Isolating Total RNA and Predicting the Success of Sequencing Phylogenetically Diverse Plant Transcriptomes

Evaluating Methods for Isolating Total RNA and Predicting the Success of Sequencing Phylogenetically Diverse Plant Transcriptomes

Next-generation sequencing plays a central role in the characterization and quantification of transcriptomes. Although numerous metrics are purported to quantify the quality of RNA, there have been no large-scale empirical evaluations of the major determinants of sequencing success. We used a combin...

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Bibliographic Details
Main Authors: Johnson, Marc T. J., Carpenter, Eric J., Tian, Zhijian, Bruskiewich, Richard, Burris, Jason N., Carrigan, Charlotte T., Chase, Mark W., Clarke, Neil D., Covshoff, Sarah, dePamphilis, Claude W., Edger, Patrick P., Goh, Falicia, Graham, Sean, Greiner, Stephan, Hibberd, Julian M., Jordon-Thaden, Ingrid, Kutchan, Toni M., Leebens-Mack, James, Melkonian, Michael, Miles, Nicholas, Myburg, Henrietta, Patterson, Jordan, Pires, J. Chris, Ralph, Paula, Rolf, Megan, Sage, Rowan F., Soltis, Douglas, Soltis, Pamela, Stevenson, Dennis, Stewart, C. Neal, Surek, Barbara, Thomsen, Christina J. M., Villarreal, Juan Carlos, Wu, Xiaolei, Zhang, Yong, Deyholos, Michael K., Wong, Gane Ka-Shu
Format: Online
Language:English
Published: Public Library of Science 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504007/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504007/

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