• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

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

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Zhang, Zhang
    López-Giráldez, Francesc Francisco
    Townsend, Jeffrey P.
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    Center for Desert Agriculture
    Computational Bioscience Research Center (CBRC)
    Date
    2010-06-10
    Online Publication Date
    2010-06-10
    Print Publication Date
    2010-08-01
    Permanent link to this record
    http://hdl.handle.net/10754/561501
    
    Metadata
    Show full item record
    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.
    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/btq303
    Publisher
    Oxford University Press (OUP)
    Journal
    Bioinformatics
    DOI
    10.1093/bioinformatics/btq303
    PubMed ID
    20538728
    PubMed Central ID
    PMC2905554
    Additional Links
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905554
    ae974a485f413a2113503eed53cd6c53
    10.1093/bioinformatics/btq303
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Computational Bioscience Research Center (CBRC); Center for Desert Agriculture

    entitlement

    Related articles

    • Novel software package for cross-platform transcriptome analysis (CPTRA).
    • Authors: Zhou X, Su Z, Sammons RD, Peng Y, Tranel PJ, Stewart CN Jr, Yuan JS
    • Issue date: 2009 Oct 8
    • The filamentous fungal gene expression database (FFGED).
    • Authors: Zhang Z, Townsend JP
    • Issue date: 2010 Mar
    • Importing ArrayExpress datasets into R/Bioconductor.
    • Authors: Kauffmann A, Rayner TF, Parkinson H, Kapushesky M, Lukk M, Brazma A, Huber W
    • Issue date: 2009 Aug 15
    • metahdep: meta-analysis of hierarchically dependent gene expression studies.
    • Authors: Stevens JR, Nicholas G
    • Issue date: 2009 Oct 1
    • Libaffy: software for processing Affymetrix GeneChip data.
    • Authors: Eschrich SA, Hoerter AM
    • Issue date: 2007 Jun 15
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.