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dc.contributor.authorCarpenter, Eric J
dc.contributor.authorMatasci, Naim
dc.contributor.authorAyyampalayam, Saravanaraj
dc.contributor.authorWu, Shuangxiu
dc.contributor.authorSun, Jing
dc.contributor.authorYu, Jun
dc.contributor.authorJimenez Vieira, Fabio Rocha
dc.contributor.authorBowler, Chris
dc.contributor.authorDorrell, Richard G
dc.contributor.authorGitzendanner, Matthew A
dc.contributor.authorLi, Ling
dc.contributor.authorDu, Wensi
dc.contributor.authorK Ullrich, Kristian
dc.contributor.authorWickett, Norman J
dc.contributor.authorBarkmann, Todd J
dc.contributor.authorBarker, Michael S
dc.contributor.authorLeebens-Mack, James H
dc.contributor.authorWong, Gane Ka-Shu
dc.date.accessioned2019-12-17T22:45:33Z
dc.date.available2019-12-17T22:45:33Z
dc.date.issued2019-10-23
dc.identifier.citationEric J Carpenter, Naim Matasci, Saravanaraj Ayyampalayam, Shuangxiu Wu, Jing Sun, Jun Yu, Fabio Rocha Jimenez Vieira, Chris Bowler, Richard G Dorrell, Matthew A Gitzendanner, Ling Li, Wensi Du, Kristian K. Ullrich, Norman J Wickett, Todd J Barkmann, Michael S Barker, James H Leebens-Mack, Gane Ka-Shu Wong, Access to RNA-sequencing data from 1,173 plant species: The 1000 Plant transcriptomes initiative (1KP), GigaScience, Volume 8, Issue 10, October 2019, giz126, https://doi.org/10.1093/gigascience/giz126en_US
dc.identifier.issn2047-217X
dc.identifier.pmid31644802
dc.identifier.doi10.1093/gigascience/giz126
dc.identifier.urihttp://hdl.handle.net/10150/636423
dc.description.abstractBackground: The 1000 Plant transcriptomes initiative (1KP) explored genetic diversity by sequencing RNA from 1,342 samples representing 1,173 species of green plants (Viridiplantae). Findings: This data release accompanies the initiative's final/capstone publication on a set of 3 analyses inferring species trees, whole genome duplications, and gene family expansions. These and previous analyses are based on de novo transcriptome assemblies and related gene predictions. Here, we assess their data and assembly qualities and explain how we detected potential contaminations. Conclusions: These data will be useful to plant and/or evolutionary scientists with interests in particular gene families, either across the green plant tree of life or in more focused lineages.en_US
dc.language.isoenen_US
dc.publisherOXFORD UNIV PRESSen_US
dc.rightsCopyright © The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectRNAen_US
dc.subjectassembliesen_US
dc.subjectcontaminationen_US
dc.subjectgenesen_US
dc.subjectplantsen_US
dc.subjecttranscriptome completenessen_US
dc.titleAccess to RNA-sequencing data from 1,173 plant species: The 1000 Plant transcriptomes initiative (1KP)en_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, CyVerseen_US
dc.contributor.departmentUniv Arizona, Dept Ecol Evolutionary Biolen_US
dc.identifier.journalGIGASCIENCEen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleGigaScience
refterms.dateFOA2019-12-17T22:45:33Z


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Copyright © The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Copyright © The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).