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

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

Abstract 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,...

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Bibliographic Details
Main Authors: Joseph N. Paulson, Cho-Yi Chen, Camila M. Lopes-Ramos, Marieke L. Kuijjer, John Platig, Abhijeet R. Sonawane, Maud Fagny, Kimberly Glass, John Quackenbush
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
GTEx
RNA-Seq
Quality control
Filtering
Preprocessing
Normalization
Online Access:http://link.springer.com/article/10.1186/s12859-017-1847-x

Internet

http://link.springer.com/article/10.1186/s12859-017-1847-x

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