LOX: Inferring level of expression from diverse methods of census sequencing
Type
ArticleKAUST Department
Biological and Environmental Science and Engineering (BESE) DivisionCenter for Desert Agriculture
Computational Bioscience Research Center (CBRC)
Date
2010-06-10Online Publication Date
2010-06-10Print Publication Date
2010-08-01Permanent link to this record
http://hdl.handle.net/10754/561501
Metadata
Show full item recordAbstract
Summary: We present LOX (Level Of eXpression) that estimates the Level Of gene eXpression from high-throughput-expressed sequence datasets with multiple treatments or samples. Unlike most analyses, LOX incorporates a gene bias model that facilitates integration of diverse transcriptomic sequencing data that arises when transcriptomic data have been produced using diverse experimental methodologies. LOX integrates overall sequence count tallies normalized by total expressed sequence count to provide expression levels for each gene relative to all treatments as well as Bayesian credible intervals. © The Author 2010. Published by Oxford University Press. All rights reserved.Citation
Zhang, Z., Lopez-Giraldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. doi:10.1093/bioinformatics/btq303Publisher
Oxford University Press (OUP)Journal
BioinformaticsPubMed ID
20538728PubMed Central ID
PMC2905554Additional Links
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905554ae974a485f413a2113503eed53cd6c53
10.1093/bioinformatics/btq303
Scopus Count
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