Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Building promoter aware transcriptional regulatory networks using siRNA perturbation and deepCAGE
por: Vitezic, Morana, et al.
Publicado: (2010) -
CAGEr: precise TSS data retrieval and high-resolution promoterome mining for integrative analyses
por: Haberle, Vanja, et al.
Publicado: (2015) -
DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility
por: Liu, Qiao, et al.
Publicado: (2022) -
Redefining the transcriptional regulatory dynamics of classically and alternatively activated macrophages by deepCAGE transcriptomics
por: Roy, Sugata, et al.
Publicado: (2015) -
MOIRAI: a compact workflow system for CAGE analysis
por: Hasegawa, Akira, et al.
Publicado: (2014)