The analytical landscape of static and temporal dynamics in transcriptome data

Interpreting gene expression profiles often involves statistical analysis of large numbers of differentially expressed genes, isoforms, and alternative splicing events at either static or dynamic spectrums. Reduced sequencing costs have made feasible dense time-series analysis of gene expression usi...

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Detalles Bibliográficos
Autores principales: Oh, Sunghee, Song, Seongho, Dasgupta, Nupur, Grabowski, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929947/
https://www.ncbi.nlm.nih.gov/pubmed/24600473
http://dx.doi.org/10.3389/fgene.2014.00035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929947/
https://www.ncbi.nlm.nih.gov/pubmed/24600473
http://dx.doi.org/10.3389/fgene.2014.00035

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