Benchmarking differential expression analysis tools for RNA-Seq: normalization-based vs. log-ratio transformation-based methods

Benchmarking differential expression analysis tools for RNA-Seq: normalization-based vs. log-ratio transformation-based methods

Abstract Background Count data generated by next-generation sequencing assays do not measure absolute transcript abundances. Instead, the data are constrained to an arbitrary “library size” by the sequencing depth of the assay, and typically must be normalized prior to statistical analysis. The cons...

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Bibliographic Details
Main Authors: Thomas P. Quinn, Tamsyn M. Crowley, Mark F. Richardson
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Bioinformatics
Subjects:
High-throughput sequencing analysis
RNA-Seq
Compositional data
Compositional analysis
CoDA
Online Access:http://link.springer.com/article/10.1186/s12859-018-2261-8

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http://link.springer.com/article/10.1186/s12859-018-2261-8

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