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Correction to: Generation of expressed sequence tags for discovery of genes responsible for floral traits of Chrysanthemum morifolium by next-generation sequencing technology
BMC Genomics volume 18, Article number: 954 (2017)
Correction
After publication of the original article [1] the authors noted that the following errors had occurred:
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Figures 5, 7 and 9 are incomplete in the original article. The updated, full figures are included in this Correction.
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In the section Transcription factors, the last two sentences at the end of the first paragraph contain some incorrect information.
The following information has been corrected and is visible in the sentence below:
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“all” TF families has been corrected to “almost all”
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6368 TF contigs has been corrected to 6996 TF contigs
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2132 TF clusters has been revised to 2375 TF clusters
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In this study, we confirmed that almost all TF families that had been reported in Arabidopsis [13] were also conserved in chrysanthemums (Table 3). Our data sets contain 6996 TF contigs, which are consolidated into 2375 TF clusters (Table 3). For the classification of the TFs in chrysanthemums, we employed the information of Arabidopsis TFs in the PlantTFDB database [12].
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The sentence “We identified a total of 46 highly homologouscontigs that encoded TPS that were combined into 30 clusters” should have been removed from the section “Terpene biosynthesis”.
The original article has also been updated.
Reference
Sasaki K, Mitsuda N, Nashima K, Kishimto K, Katayose Y, Kanamori H, Ohmiya A. Generation of expressed sequence tags for discovery of genes responsible for floral traits of Chrysanthemum morifolium by next-generation sequencing technology. BMC Genomics. 2017;18:683. https://doi.org/10.1186/s12864-017-4061-3
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The original article can be found online at https://doi.org/10.1186/s12864-017-4061-3.
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Sasaki, K., Mitsuda, N., Nashima, K. et al. Correction to: Generation of expressed sequence tags for discovery of genes responsible for floral traits of Chrysanthemum morifolium by next-generation sequencing technology. BMC Genomics 18, 954 (2017). https://doi.org/10.1186/s12864-017-4206-4
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DOI: https://doi.org/10.1186/s12864-017-4206-4