Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data

With the advent of ultra high-throughput sequencing technologies, increasingly researchers are turning to deep sequencing for gene expression studies. Here we present a set of rigorous methods for normalization, quantification of noise, and co-expression analysis of deep sequencing data. Using these...

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Detalles Bibliográficos
Autores principales: Balwierz, Piotr J, Carninci, Piero, Daub, Carsten O, Kawai, Jun, Hayashizaki, Yoshihide, Van Belle, Werner, Beisel, Christian, van Nimwegen, Erik
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728533/
https://www.ncbi.nlm.nih.gov/pubmed/19624849
http://dx.doi.org/10.1186/gb-2009-10-7-r79

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728533/
https://www.ncbi.nlm.nih.gov/pubmed/19624849
http://dx.doi.org/10.1186/gb-2009-10-7-r79

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