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Journal Abstract Search

143 related items for PubMed ID: 18818762

  • 41. Quantitative maps of genetic interactions in yeast - comparative evaluation and integrative analysis.
    Lindén RO, Eronen VP, Aittokallio T.
    BMC Syst Biol; 2011 Mar 24; 5():45. PubMed ID: 21435228
    [Abstract] [Full Text] [Related]

  • 42. Predicting phenotypic variation in yeast from individual genome sequences.
    Jelier R, Semple JI, Garcia-Verdugo R, Lehner B.
    Nat Genet; 2011 Nov 13; 43(12):1270-4. PubMed ID: 22081227
    [Abstract] [Full Text] [Related]

  • 43. An integrated approach to characterize genetic interaction networks in yeast metabolism.
    Szappanos B, Kovács K, Szamecz B, Honti F, Costanzo M, Baryshnikova A, Gelius-Dietrich G, Lercher MJ, Jelasity M, Myers CL, Andrews BJ, Boone C, Oliver SG, Pál C, Papp B.
    Nat Genet; 2011 May 29; 43(7):656-62. PubMed ID: 21623372
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  • 44. 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. PubMed ID: 20657656
    [Abstract] [Full Text] [Related]

  • 45. Global study of holistic morphological effectors in the budding yeast Saccharomyces cerevisiae.
    Suzuki G, Wang Y, Kubo K, Hirata E, Ohnuki S, Ohya Y.
    BMC Genomics; 2018 Feb 20; 19(1):149. PubMed ID: 29458326
    [Abstract] [Full Text] [Related]

  • 46. No Evidence That Protein Noise-Induced Epigenetic Epistasis Constrains Gene Expression Evolution.
    Boross G, Papp B.
    Mol Biol Evol; 2017 Feb 01; 34(2):380-390. PubMed ID: 28025271
    [Abstract] [Full Text] [Related]

  • 47. Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions.
    Li B, Cao W, Zhou J, Luo F.
    BMC Syst Biol; 2011 May 17; 5():73. PubMed ID: 21586150
    [Abstract] [Full Text] [Related]

  • 48. Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.
    van Noort V, Snel B, Huynen MA.
    Genome Biol; 2007 May 17; 8(9):R197. PubMed ID: 17880677
    [Abstract] [Full Text] [Related]

  • 49. Genome-wide mapping of cellular traits using yeast.
    Parts L.
    Yeast; 2014 Jun 17; 31(6):197-205. PubMed ID: 24700360
    [Abstract] [Full Text] [Related]

  • 50. Predicting the effects of copy-number variation in double and triple mutant combinations.
    Carter GW, Hays M, Li S, Galitski T.
    Pac Symp Biocomput; 2012 Jun 17; ():19-30. PubMed ID: 22174259
    [Abstract] [Full Text] [Related]

  • 51. Mining protein networks for synthetic genetic interactions.
    Paladugu SR, Zhao S, Ray A, Raval A.
    BMC Bioinformatics; 2008 Oct 09; 9():426. PubMed ID: 18844977
    [Abstract] [Full Text] [Related]

  • 52. Derivation of genetic interaction networks from quantitative phenotype data.
    Drees BL, Thorsson V, Carter GW, Rives AW, Raymond MZ, Avila-Campillo I, Shannon P, Galitski T.
    Genome Biol; 2005 Oct 09; 6(4):R38. PubMed ID: 15833125
    [Abstract] [Full Text] [Related]

  • 53. PCLPred: A Bioinformatics Method for Predicting Protein-Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation.
    Li LP, Wang YB, You ZH, Li Y, An JY.
    Int J Mol Sci; 2018 Mar 29; 19(4):. PubMed ID: 29596363
    [Abstract] [Full Text] [Related]

  • 54. Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants.
    Gallegos JE, Adames NR, Rogers MF, Kraikivski P, Ibele A, Nurzynski-Loth K, Kudlow E, Murali TM, Tyson JJ, Peccoud J.
    NPJ Syst Biol Appl; 2020 May 06; 6(1):11. PubMed ID: 32376972
    [Abstract] [Full Text] [Related]

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  • 58. A gene's ability to buffer variation is predicted by its fitness contribution and genetic interactions.
    Wang GZ, Liu J, Wang W, Zhang HY, Lercher MJ.
    PLoS One; 2011 Mar 02; 6(3):e17650. PubMed ID: 21407817
    [Abstract] [Full Text] [Related]

  • 59. Imputing and predicting quantitative genetic interactions in epistatic MAPs.
    Ryan C, Cagney G, Krogan N, Cunningham P, Greene D.
    Methods Mol Biol; 2011 Mar 02; 781():353-61. PubMed ID: 21877290
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