Impact of RNA-seq attributes on false positive rates in differential expression analysis of de novo assembled transcriptomes

BACKGROUND: High-throughput RNA sequencing studies are becoming increasingly popular and differential expression studies represent an important downstream analysis that often follow de novo transcriptome assembly. If a lot of attention has been given to bioinformatics tools for differential gene exp...

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Detalles Bibliográficos
Autores principales: González, Emmanuel, Joly, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222115/
https://www.ncbi.nlm.nih.gov/pubmed/24298906
http://dx.doi.org/10.1186/1756-0500-6-503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222115/
https://www.ncbi.nlm.nih.gov/pubmed/24298906
http://dx.doi.org/10.1186/1756-0500-6-503

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