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Optimizing and benchmarking de novo transcriptome sequencing: from library preparation to assembly evaluation
BACKGROUND: RNA-seq enables gene expression profiling in selected spatiotemporal windows and yields massive sequence information with relatively low cost and time investment, even for non-model species. However, there remains a large room for optimizing its workflow, in order to take full advantage...
Autores principales: | Hara, Yuichiro, Tatsumi, Kaori, Yoshida, Michio, Kajikawa, Eriko, Kiyonari, Hiroshi, Kuraku, Shigehiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652379/ https://www.ncbi.nlm.nih.gov/pubmed/26581708 http://dx.doi.org/10.1186/s12864-015-2007-1 |
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