Data supporting the 1000 plant (1KP) transcriptomes initiative

  • Eric Carpenter (Contributor)
  • Naim Matasci (Contributor)
  • Saravanaraj Ayyampalayam (Contributor)
  • Shuangxiu Wu (Contributor)
  • Jing Sun (Contributor)
  • Jun Yu (Contributor)
  • Fabio Rocha Jimenez Vieira (Contributor)
  • Chris Bowler (Contributor)
  • Richard G. Dorrell (Contributor)
  • Matthew A. Gitzendanner (Contributor)
  • Ling Li (Contributor)
  • Wensi Du (Contributor)
  • Kristian K. Ullrich (Contributor)
  • Norman J. Wickett (Contributor)
  • Todd J. Barkmann (Contributor)
  • Michael S Barker (Contributor)
  • James H. Leebens-Mack (Contributor)
  • Gane K S Wong (Contributor)



The 1000 Plants (1KP) transcriptomes initiative explored the genetic diversity of green plants (Viridiplantae) by sequencing RNA from 1,342 samples representing 1,173 species. All of the analyses done for the 1KP capstone, and previous studies on subsets of these data, are based on a series of de novo transcriptome assemblies and related outputs that will be described in the accompanying GigaScience publication. We also describe assessments of the data quality and an analysis to remove cross-contamination between the samples. These data will be useful to researchers with interests in specific gene families, either across the green plant tree of life or in more focused lineages.
Date made availableOct 23 2019
PublisherGigaScience Database

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