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...

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Detalles Bibliográficos
Autores principales: Hara, Yuichiro, Tatsumi, Kaori, Yoshida, Michio, Kajikawa, Eriko, Kiyonari, Hiroshi, Kuraku, Shigehiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
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

Internet

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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