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Derivation of genetic interaction networks from quantitative phenotype data

Becky L Drees†, Vesteinn Thorsson†, Gregory W Carter†, Alexander W Rives, Marisa Z Raymond, Iliana Avila-Campillo, Paul Shannon and Timothy Galitski*

Genome Biology 2005, 6:R38 doi:10.1186/gb-2005-6-4-r38

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Research article   Open Access Highly Accessed

Genetic interaction network of the Saccharomyces cerevisiae type 1 phosphatase Glc7

Michael R Logan, Thao Nguyen, Nicolas Szapiel, James Knockleby, Hanting Por, Megan Zadworny, Michael Neszt, Paul Harrison, Howard Bussey, Craig A Mandato, Jackie Vogel, Guillaume Lesage BMC Genomics 2008, 9:336 (15 July 2008)

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A Caenorhabditis elegans genetic-interaction map wiggles into view

Kristin C Gunsalus Journal of Biology 2008, 7:8 (7 March 2008)

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Commentary   Open Access

Genetic interactions: the missing links for a better understanding of cancer susceptibility, progression and treatment

Christopher A Maxwell, Víctor Moreno, Xavier Solé, Laia Gómez, Pilar Hernández, Ander Urruticoechea, Miguel Pujana Molecular Cancer 2008, 7:4 (10 January 2008)

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Inferring cellular networks – a review

Florian Markowetz, Rainer Spang BMC Bioinformatics 2007, 8(Suppl 6):S5 (27 September 2007)

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Network motif analysis of a multi-mode genetic-interaction network

R James Taylor, Andrew F Siegel, Timothy Galitski Genome Biology 2007, 8:R160 (2 August 2007)

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Statistical and computational methods for the extraction of biological information from dense multi-mode genetic-interaction networks were developed and implemented in open-source software.

Methodology article   Open Access Highly Accessed

Accurate, precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays

Najaf A Shah, Richard J Laws, Bradley Wardman, Lue Zhao, John L Hartman BMC Systems Biology 2007, 1:3 (8 January 2007)

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Automated image analysis of yeast on agar culture arrays provides accurate data on yeast culture biomass, allowing robust quantitative modeling of yeast cell proliferation.

Research   Open Access Highly Accessed

Combinatorial RNA interference in Caenorhabditis elegans reveals that redundancy between gene duplicates can be maintained for more than 80 million years of evolution

Julia Tischler, Ben Lehner, Nansheng Chen, Andrew G Fraser Genome Biology 2006, 7:R69 (2 August 2006)

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High-throughput combinatorial RNAi demonstrates that many duplicated genes in C. elegans can retain redundant functions for more than 80 million years

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

Sean R Collins, Maya Schuldiner, Nevan J Krogan, Jonathan S Weissman Genome Biology 2006, 7:R63 (21 July 2006)

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A new technique for analysis of data from synthetic genetic array and E-MAP technology generates high confidence quantitative epistasis scores.

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