Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data

BACKGROUND: Although ultrahigh-throughput RNA-Sequencing has become the dominant technology for genome-wide transcriptional profiling, the vast majority of RNA-Seq studies typically profile only tens of samples, and most analytical pipelines are optimized for these smaller studies. However, projects...

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Detalles Bibliográficos
Autores principales: Paulson, Joseph N., Chen, Cho-Yi, Lopes-Ramos, Camila M., Kuijjer, Marieke L., Platig, John, Sonawane, Abhijeet R., Fagny, Maud, Glass, Kimberly, Quackenbush, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627434/
https://www.ncbi.nlm.nih.gov/pubmed/28974199
http://dx.doi.org/10.1186/s12859-017-1847-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627434/
https://www.ncbi.nlm.nih.gov/pubmed/28974199
http://dx.doi.org/10.1186/s12859-017-1847-x

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