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Items: 1 to 20 of 33


Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins.

Mirzaei H, Knijnenburg TA, Kim B, Robinson M, Picotti P, Carter GW, Li S, Dilworth DJ, Eng JK, Aitchison JD, Shmulevich I, Galitski T, Aebersold R, Ranish J.

Proc Natl Acad Sci U S A. 2013 Feb 26;110(9):3645-50. doi: 10.1073/pnas.1216918110. Epub 2013 Feb 6.


Use of pleiotropy to model genetic interactions in a population.

Carter GW, Hays M, Sherman A, Galitski T.

PLoS Genet. 2012;8(10):e1003010. doi: 10.1371/journal.pgen.1003010. Epub 2012 Oct 11.


Correction: quantifying and analyzing the network basis of genetic complexity.

Thompson EG, Galitski T.

PLoS Comput Biol. 2012;8(8). doi: 10.1371/annotation/a4b94e99-6f8a-433e-9a13-17a9f206eb68. Epub 2012 Aug 15.


Quantifying and analyzing the network basis of genetic complexity.

Thompson EG, Galitski T.

PLoS Comput Biol. 2012;8(7):e1002583. doi: 10.1371/journal.pcbi.1002583. Epub 2012 Jul 5. Erratum in: PLoS Comput Biol. 2012 Aug;8(8). doi: 10.1371/annotation/a4b94e99-6f8a-433e-9a13-17a9f206eb68.


Predicting the effects of copy-number variation in double and triple mutant combinations.

Carter GW, Hays M, Li S, Galitski T.

Pac Symp Biocomput. 2012:19-30.


High-throughput tracking of single yeast cells in a microfluidic imaging matrix.

Falconnet D, Niemistö A, Taylor RJ, Ricicova M, Galitski T, Shmulevich I, Hansen CL.

Lab Chip. 2011 Feb 7;11(3):466-73. doi: 10.1039/c0lc00228c. Epub 2010 Nov 18.


A systems-biology approach to modular genetic complexity.

Carter GW, Rush CG, Uygun F, Sakhanenko NA, Galas DJ, Galitski T.

Chaos. 2010 Jun;20(2):026102. doi: 10.1063/1.3455183. Review.


Maximal extraction of biological information from genetic interaction data.

Carter GW, Galas DJ, Galitski T.

PLoS Comput Biol. 2009 Apr;5(4):e1000347. doi: 10.1371/journal.pcbi.1000347. Epub 2009 Apr 3.


Dynamic analysis of MAPK signaling using a high-throughput microfluidic single-cell imaging platform.

Taylor RJ, Falconnet D, Niemistö A, Ramsey SA, Prinz S, Shmulevich I, Galitski T, Hansen CL.

Proc Natl Acad Sci U S A. 2009 Mar 10;106(10):3758-63. doi: 10.1073/pnas.0813416106. Epub 2009 Feb 17.


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

Taylor RJ, Siegel AF, Galitski T.

Genome Biol. 2007;8(8):R160.


Prediction of phenotype and gene expression for combinations of mutations.

Carter GW, Prinz S, Neou C, Shelby JP, Marzolf B, Thorsson V, Galitski T.

Mol Syst Biol. 2007;3:96. Epub 2007 Mar 27.


Control of signaling in a MAP-kinase pathway by an RNA-binding protein.

Prinz S, Aldridge C, Ramsey SA, Taylor RJ, Galitski T.

PLoS One. 2007 Feb 28;2(2):e249.


Antisense transcription controls cell fate in Saccharomyces cerevisiae.

Hongay CF, Grisafi PL, Galitski T, Fink GR.

Cell. 2006 Nov 17;127(4):735-45.


SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology.

Marzolf B, Deutsch EW, Moss P, Campbell D, Johnson MH, Galitski T.

BMC Bioinformatics. 2006 Jun 6;7:286.


Disentangling information flow in the Ras-cAMP signaling network.

Carter GW, Rupp S, Fink GR, Galitski T.

Genome Res. 2006 Apr;16(4):520-6. Epub 2006 Mar 13.


Tools enabling the elucidation of molecular pathways active in human disease: application to Hepatitis C virus infection.

Reiss DJ, Avila-Campillo I, Thorsson V, Schwikowski B, Galitski T.

BMC Bioinformatics. 2005 Jun 20;6:154.


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;6(4):R38. Epub 2005 Mar 31.


Molecular networks in model systems.

Galitski T.

Annu Rev Genomics Hum Genet. 2004;5:177-87. Review.


System-based proteomic analysis of the interferon response in human liver cells.

Yan W, Lee H, Yi EC, Reiss D, Shannon P, Kwieciszewski BK, Coito C, Li XJ, Keller A, Eng J, Galitski T, Goodlett DR, Aebersold R, Katze MG.

Genome Biol. 2004;5(8):R54. Epub 2004 Jul 22.


Defects arising from whole-genome duplications in Saccharomyces cerevisiae.

Andalis AA, Storchova Z, Styles C, Galitski T, Pellman D, Fink GR.

Genetics. 2004 Jul;167(3):1109-21.

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