Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis

BACKGROUND: Experimental designs that take advantage of high-throughput sequencing to generate datasets include RNA sequencing (RNA-seq), chromatin immunoprecipitation sequencing (ChIP-seq), sequencing of 16S rRNA gene fragments, metagenomic analysis and selective growth experiments. In each case th...

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Detalles Bibliográficos
Autores principales: Fernandes, Andrew D, Reid, Jennifer NS, Macklaim, Jean M, McMurrough, Thomas A, Edgell, David R, Gloor, Gregory B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030730/
https://www.ncbi.nlm.nih.gov/pubmed/24910773
http://dx.doi.org/10.1186/2049-2618-2-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030730/
https://www.ncbi.nlm.nih.gov/pubmed/24910773
http://dx.doi.org/10.1186/2049-2618-2-15

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