Analysis and correction of compositional bias in sparse sequencing count data

Analysis and correction of compositional bias in sparse sequencing count data

Abstract Background Count data derived from high-throughput deoxy-ribonucliec acid (DNA) sequencing is frequently used in quantitative molecular assays. Due to properties inherent to the sequencing process, unnormalized count data is compositional, measuring relative and not absolute abundances of t...

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Bibliographic Details
Main Authors: M. Senthil Kumar, Eric V. Slud, Kwame Okrah, Stephanie C. Hicks, Sridhar Hannenhalli, Héctor Corrada Bravo
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Genomics
Subjects:
Compositional bias
Normalization
Empirical Bayes
Data integration
Count data
Metagenomics
Online Access:http://link.springer.com/article/10.1186/s12864-018-5160-5

Internet

http://link.springer.com/article/10.1186/s12864-018-5160-5

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