2013
DOI: 10.1038/nprot.2013.084
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De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

Abstract: De novo assembly of RNA-Seq data allows us to study transcriptomes without the need for a genome sequence, such as in non-model organisms of ecological and evolutionary importance, cancer samples, or the microbiome. In this protocol, we describe the use of the Trinity platform for de novo transcriptome assembly from RNA-Seq data in non-model organisms. We also present Trinity’s supported companion utilities for downstream applications, including RSEM for transcript abundance estimation, R/Bioconductor packages… Show more

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Cited by 7,316 publications
(6,705 citation statements)
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“…We adopted general methods suggested by Trinity (Haas et al., 2013) and Fu et al. (Fu & He, 2012) to assess the assembly quality.…”
Section: Methodsmentioning
confidence: 96%
“…We adopted general methods suggested by Trinity (Haas et al., 2013) and Fu et al. (Fu & He, 2012) to assess the assembly quality.…”
Section: Methodsmentioning
confidence: 96%
“…After quality control and filtering of reads, all RNA libraries were de novo assembled together as a primary all-isolate transcriptome using Trinity (rel_2.25.13) 75,76 (Supplementary Table 5). Meanwhile, 16 tissue-specific transcriptomes were individually de novo assembled using Trinity (Supplementary Tables 1, 5, and 6).…”
Section: Methodsmentioning
confidence: 99%
“…As the closest assembled genome ( P. equestris , Cai et al., 2015) is highly divergent from Dactylorhiza (their most recent common ancestor lived 55–70 Ma, Givnish et al., 2015), we have assembled de novo with Trinity (Haas et al., 2013) a combined reference transcriptome for both Dactylorhiza species (for details see Appendix S1 and Fig. S2).…”
Section: Methodsmentioning
confidence: 99%