LOX: Inferring level of expression from diverse methods of census sequencing

Handle URI:
http://hdl.handle.net/10754/561501
Title:
LOX: Inferring level of expression from diverse methods of census sequencing
Authors:
Zhang, Zhang; López-Giráldez, Francesc Francisco; Townsend, Jeffrey P.
Abstract:
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.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division; Center for Desert Agriculture; Computational Bioscience Research Center (CBRC)
Publisher:
Oxford University Press (OUP)
Journal:
Bioinformatics
Issue Date:
10-Jun-2010
DOI:
10.1093/bioinformatics/btq303
PubMed ID:
20538728
PubMed Central ID:
PMC2905554
Type:
Article
ISSN:
13674803
Additional Links:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905554
Appears in Collections:
Articles; Center for Desert Agriculture; Computational Bioscience Research Center (CBRC); Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorZhang, Zhangen
dc.contributor.authorLópez-Giráldez, Francesc Franciscoen
dc.contributor.authorTownsend, Jeffrey P.en
dc.date.accessioned2015-08-02T09:12:54Zen
dc.date.available2015-08-02T09:12:54Zen
dc.date.issued2010-06-10en
dc.identifier.issn13674803en
dc.identifier.pmid20538728en
dc.identifier.doi10.1093/bioinformatics/btq303en
dc.identifier.urihttp://hdl.handle.net/10754/561501en
dc.description.abstractSummary: 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.en
dc.publisherOxford University Press (OUP)en
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905554en
dc.titleLOX: Inferring level of expression from diverse methods of census sequencingen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentCenter for Desert Agricultureen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.identifier.journalBioinformaticsen
dc.identifier.pmcidPMC2905554en
dc.contributor.institutionDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, United Statesen
dc.contributor.institutionProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, United Statesen
kaust.authorZhang, Zhangen

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