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    Results: 1 to 20 of 84

    1.

    A strategy for extracting and analyzing large-scale quantitative epistatic interaction data.

    Collins SR, Schuldiner M, Krogan NJ, Weissman JS.

    Genome Biol. 2006;7(7):R63.

    PMID:
    16859555
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    2.

    Array-based synthetic genetic screens to map bacterial pathways and functional networks in Escherichia coli.

    Babu M, Gagarinova A, Emili A.

    Methods Mol Biol. 2011;781:99-126.

    PMID:
    21877280
    [PubMed - indexed for MEDLINE]
    3.

    Missing value imputation for epistatic MAPs.

    Ryan C, Greene D, Cagney G, Cunningham P.

    BMC Bioinformatics. 2010 Apr 20;11:197.

    PMID:
    20406472
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    4.

    Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile.

    Schuldiner M, Collins SR, Thompson NJ, Denic V, Bhamidipati A, Punna T, Ihmels J, Andrews B, Boone C, Greenblatt JF, Weissman JS, Krogan NJ.

    Cell. 2005 Nov 4;123(3):507-19.

    PMID:
    16269340
    [PubMed - indexed for MEDLINE]
    5.

    Genome-wide scoring of positive and negative epistasis through decomposition of quantitative genetic interaction fitness matrices.

    Eronen VP, Lindén RO, Lindroos A, Kanerva M, Aittokallio T.

    PLoS One. 2010 Jul 15;5(7):e11611.

    PMID:
    20657656
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    6.

    Array-based synthetic genetic screens to map bacterial pathways and functional networks in Escherichia coli.

    Babu M, Gagarinova A, Greenblatt J, Emili A.

    Methods Mol Biol. 2011;765:125-53.

    PMID:
    21815091
    [PubMed - indexed for MEDLINE]
    7.

    High-throughput genetic interaction mapping in the fission yeast Schizosaccharomyces pombe.

    Roguev A, Wiren M, Weissman JS, Krogan NJ.

    Nat Methods. 2007 Oct;4(10):861-6. Epub 2007 Sep 23.

    PMID:
    17893680
    [PubMed - indexed for MEDLINE]
    8.

    Systems-level approaches for identifying and analyzing genetic interaction networks in Escherichia coli and extensions to other prokaryotes.

    Babu M, Musso G, Díaz-Mejía JJ, Butland G, Greenblatt JF, Emili A.

    Mol Biosyst. 2009 Dec;5(12):1439-55. Epub 2009 Jul 31. Review.

    PMID:
    19763343
    [PubMed - indexed for MEDLINE]
    9.

    Imputing and predicting quantitative genetic interactions in epistatic MAPs.

    Ryan C, Cagney G, Krogan N, Cunningham P, Greene D.

    Methods Mol Biol. 2011;781:353-61.

    PMID:
    21877290
    [PubMed - indexed for MEDLINE]
    10.

    From classical genetics to quantitative genetics to systems biology: modeling epistasis.

    Aylor DL, Zeng ZB.

    PLoS Genet. 2008 Mar 14;4(3):e1000029. Erratum in: PLoS Genet. 2008 May;4(5). doi: 10.1371/annotation/ff93eba8-9567-4f41-b90d-9cdfdf65f747.

    PMID:
    18369448
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    11.

    Quantitative genetic analysis in Saccharomyces cerevisiae using epistatic miniarray profiles (E-MAPs) and its application to chromatin functions.

    Schuldiner M, Collins SR, Weissman JS, Krogan NJ.

    Methods. 2006 Dec;40(4):344-52.

    PMID:
    17101447
    [PubMed - indexed for MEDLINE]
    12.

    Extracting between-pathway models from E-MAP interactions using expected graph compression.

    Kelley DR, Kingsford C.

    J Comput Biol. 2011 Mar;18(3):379-90.

    PMID:
    21385041
    [PubMed - indexed for MEDLINE]
    13.

    Exploring genetic interactions and networks with yeast.

    Boone C, Bussey H, Andrews BJ.

    Nat Rev Genet. 2007 Jun;8(6):437-49. Review.

    PMID:
    17510664
    [PubMed - indexed for MEDLINE]
    14.

    The extensive and condition-dependent nature of epistasis among whole-genome duplicates in yeast.

    Musso G, Costanzo M, Huangfu M, Smith AM, Paw J, San Luis BJ, Boone C, Giaever G, Nislow C, Emili A, Zhang Z.

    Genome Res. 2008 Jul;18(7):1092-9. Epub 2008 May 7.

    PMID:
    18463300
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    15.

    Identifying quantitative trait locus by genetic background interactions in association studies.

    Jannink JL.

    Genetics. 2007 May;176(1):553-61. Epub 2006 Dec 18.

    PMID:
    17179077
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    16.

    Modular epistasis in yeast metabolism.

    Segrè D, Deluna A, Church GM, Kishony R.

    Nat Genet. 2005 Jan;37(1):77-83. Epub 2004 Dec 12.

    PMID:
    15592468
    [PubMed - indexed for MEDLINE]
    17.

    Genetic analysis of an F(2) intercross between two chicken lines divergently selected for body-weight.

    Wahlberg P, Carlborg O, Foglio M, Tordoir X, Syvänen AC, Lathrop M, Gut IG, Siegel PB, Andersson L.

    BMC Genomics. 2009 May 27;10:248.

    PMID:
    19473501
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    18.

    Identification of epistatic effects using a protein-protein interaction database.

    Sun YV, Kardia SL.

    Hum Mol Genet. 2010 Nov 15;19(22):4345-52. Epub 2010 Aug 24.

    PMID:
    20736252
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    19.

    Mining protein networks for synthetic genetic interactions.

    Paladugu SR, Zhao S, Ray A, Raval A.

    BMC Bioinformatics. 2008 Oct 9;9:426.

    PMID:
    18844977
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    20.

    Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies.

    Ma L, Runesha HB, Dvorkin D, Garbe JR, Da Y.

    BMC Bioinformatics. 2008 Jul 21;9:315.

    PMID:
    18644146
    [PubMed - indexed for MEDLINE]
    Free PMC Article

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