List of Faculty Publications

Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
3',5'-Cyclic-AMP Phosphodiesterases
T. Gregor, Fujimoto, K., Masaki, N., and Sawai, S., The onset of collective behavior in social amoebae., Science, vol. 328, no. 5981, pp. 1021-5, 2010.
3T3 Cells
S. M. Tilghman, DNA methylation: a phoenix rises., Proc Natl Acad Sci U S A, vol. 90, no. 19, pp. 8761-2, 1993.
Access to Information
D. Botstein, It's the data!, Mol Biol Cell, vol. 21, no. 1, pp. 4-6, 2010.
Actins
E. D. Schejter, Rose, L. S., Postner, M. A., and Wieschaus, E., Role of the zygotic genome in the restructuring of the actin cytoskeleton at the cycle-14 transition during Drosophila embryogenesis., Cold Spring Harb Symp Quant Biol, vol. 57, pp. 653-9, 1992.
C. Hunter, Sung, P., Schejter, E. D., and Wieschaus, E., Conserved domains of the Nullo protein required for cell-surface localization and formation of adherens junctions., Mol Biol Cell, vol. 13, no. 1, pp. 146-57, 2002.
J. W. Shaevitz and Fletcher, D. A., Load fluctuations drive actin network growth., Proc Natl Acad Sci U S A, vol. 104, no. 40, pp. 15688-92, 2007.
Y. - C. Wang, Khan, Z., and Wieschaus, E. F., Distinct Rap1 activity states control the extent of epithelial invagination via α-catenin., Dev Cell, vol. 25, no. 3, pp. 299-309, 2013.
M. J. Rosenbluth, Crow, A., Shaevitz, J. W., and Fletcher, D. A., Slow stress propagation in adherent cells., Biophys J, vol. 95, no. 12, pp. 6052-9, 2008.
E. D. Schejter and Wieschaus, E., bottleneck acts as a regulator of the microfilament network governing cellularization of the Drosophila embryo., Cell, vol. 75, no. 2, pp. 373-85, 1993.
R. E. Dawes-Hoang, Parmar, K. M., Christiansen, A. E., Phelps, C. B., Brand, A. H., and Wieschaus, E. F., folded gastrulation, cell shape change and the control of myosin localization., Development, vol. 132, no. 18, pp. 4165-78, 2005.
J. H. Thomas and Wieschaus, E., src64 and tec29 are required for microfilament contraction during Drosophila cellularization., Development, vol. 131, no. 4, pp. 863-71, 2004.
S. van Teeffelen, Wang, S., Furchtgott, L., Huang, K. Casey, Wingreen, N. S., Shaevitz, J. W., and Gitai, Z., The bacterial actin MreB rotates, and rotation depends on cell-wall assembly., Proc Natl Acad Sci U S A, vol. 108, no. 38, pp. 15822-7, 2011.
W. Shi, Peyrot, S. M., Munro, E., and Levine, M., FGF3 in the floor plate directs notochord convergent extension in the Ciona tadpole., Development, vol. 136, no. 1, pp. 23-8, 2009.
L. Simpson and Wieschaus, E., Zygotic activity of the nullo locus is required to stabilize the actin-myosin network during cellularization in Drosophila., Development, vol. 110, no. 3, pp. 851-63, 1990.
J. W. Shaevitz and Fletcher, D. A., Curvature and torsion in growing actin networks., Phys Biol, vol. 5, no. 2, p. 026006, 2008.
J. W. Shaevitz and Gitai, Z., The structure and function of bacterial actin homologs., Cold Spring Harb Perspect Biol, vol. 2, no. 9, p. a000364, 2010.
J. A. Zallen, Cohen, Y., Hudson, A. M., Cooley, L., Wieschaus, E., and Schejter, E. D., SCAR is a primary regulator of Arp2/3-dependent morphological events in Drosophila., J Cell Biol, vol. 156, no. 4, pp. 689-701, 2002.
B. Haarer, Viggiano, S., Hibbs, M. A., Troyanskaya, O. G., and Amberg, D. C., Modeling complex genetic interactions in a simple eukaryotic genome: actin displays a rich spectrum of complex haploinsufficiencies., Genes Dev, vol. 21, no. 2, pp. 148-59, 2007.
A. Marie Sokac and Wieschaus, E., Local actin-dependent endocytosis is zygotically controlled to initiate Drosophila cellularization., Dev Cell, vol. 14, no. 5, pp. 775-86, 2008.
M. A. Postner and Wieschaus, E. F., The nullo protein is a component of the actin-myosin network that mediates cellularization in Drosophila melanogaster embryos., J Cell Sci, vol. 107 ( Pt 7), pp. 1863-73, 1994.
A. C. Martin, Kaschube, M., and Wieschaus, E. F., Pulsed contractions of an actin-myosin network drive apical constriction., Nature, vol. 457, no. 7228, pp. 495-9, 2009.
A. Marie Sokac and Wieschaus, E., Zygotically controlled F-actin establishes cortical compartments to stabilize furrows during Drosophila cellularization., J Cell Sci, vol. 121, no. Pt 11, pp. 1815-24, 2008.
Action Potentials
I. Nemenman, Lewen, G. D., Bialek, W., and van Steveninck, R. R. de Ruyte, Neural coding of natural stimuli: information at sub-millisecond resolution., PLoS Comput Biol, vol. 4, no. 3, p. e1000025, 2008.
E. Schneidman, Puchalla, J. L., Segev, R., Harris, R. A., Bialek, W., and Berry, M. J., Synergy from silence in a combinatorial neural code., J Neurosci, vol. 31, no. 44, pp. 15732-41, 2011.
T. L. Adelman, Bialek, W., and Olberg, R. M., The information content of receptive fields., Neuron, vol. 40, no. 4, pp. 823-33, 2003.
G. Tkačik, Marre, O., Amodei, D., Schneidman, E., Bialek, W., and Berry, M. J., Searching for collective behavior in a large network of sensory neurons., PLoS Comput Biol, vol. 10, no. 1, p. e1003408, 2014.
E. Schneidman, Berry, M. J., Segev, R., and Bialek, W., Weak pairwise correlations imply strongly correlated network states in a neural population., Nature, vol. 440, no. 7087, pp. 1007-12, 2006.
L. C. Osborne, Bialek, W., and Lisberger, S. G., Time course of information about motion direction in visual area MT of macaque monkeys., J Neurosci, vol. 24, no. 13, pp. 3210-22, 2004.
E. Schneidman, Bialek, W., and Berry, M. J., Synergy, redundancy, and independence in population codes., J Neurosci, vol. 23, no. 37, pp. 11539-53, 2003.
T. Sharpee, Rust, N. C., and Bialek, W., Analyzing neural responses to natural signals: maximally informative dimensions., Neural Comput, vol. 16, no. 2, pp. 223-50, 2004.
B. Agüera y Arcas, Fairhall, A. L., and Bialek, W., Computation in a single neuron: Hodgkin and Huxley revisited., Neural Comput, vol. 15, no. 8, pp. 1715-49, 2003.
Adaptation, Physiological
T. Pilizota and Shaevitz, J. W., Fast, multiphase volume adaptation to hyperosmotic shock by Escherichia coli., PLoS One, vol. 7, no. 4, p. e35205, 2012.
S. Neumann, Vladimirov, N., Krembel, A. K., Wingreen, N. S., and Sourjik, V., Imprecision of adaptation in Escherichia coli chemotaxis., PLoS One, vol. 9, no. 1, p. e84904, 2014.
P. Andolfatto, Adaptive evolution of non-coding DNA in Drosophila., Nature, vol. 437, no. 7062, pp. 1149-52, 2005.
Y. Meir, Jakovljevic, V., Oleksiuk, O., Sourjik, V., and Wingreen, N. S., Precision and kinetics of adaptation in bacterial chemotaxis., Biophys J, vol. 99, no. 9, pp. 2766-74, 2010.
R. G. Endres and Wingreen, N. S., Precise adaptation in bacterial chemotaxis through "assistance neighborhoods"., Proc Natl Acad Sci U S A, vol. 103, no. 35, pp. 13040-4, 2006.
G. I. Lang, Rice, D. P., Hickman, M. J., Sodergren, E., Weinstock, G. M., Botstein, D., and Desai, M. M., Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations., Nature, vol. 500, no. 7464, pp. 571-4, 2013.
H. Goodarzi, Bennett, B. D., Amini, S., Reaves, M. L., Hottes, A. K., Rabinowitz, J. D., and Tavazoie, S., Regulatory and metabolic rewiring during laboratory evolution of ethanol tolerance in E. coli., Mol Syst Biol, vol. 6, p. 378, 2010.
Y. Goltsev, Rezende, G. L., Vranizan, K., Lanzaro, G., Valle, D., and Levine, M., Developmental and evolutionary basis for drought tolerance of the Anopheles gambiae embryo., Dev Biol, vol. 330, no. 2, pp. 462-70, 2009.
O. Oleksiuk, Jakovljevic, V., Vladimirov, N., Carvalho, R., Paster, E., Ryu, W. S., Meir, Y., Wingreen, N. S., Kollmann, M., and Sourjik, V., Thermal robustness of signaling in bacterial chemotaxis., Cell, vol. 145, no. 2, pp. 312-21, 2011.
G. J. Stephens, Johnson-Kerner, B., Bialek, W., and Ryu, W. S., From modes to movement in the behavior of Caenorhabditis elegans., PLoS One, vol. 5, no. 11, p. e13914, 2010.
C. H. Hansen, Endres, R. G., and Wingreen, N. S., Chemotaxis in Escherichia coli: a molecular model for robust precise adaptation., PLoS Comput Biol, vol. 4, no. 1, p. e1, 2008.
A. Z. Welch, Gibney, P. A., Botstein, D., and Koshland, D. E., TOR and RAS pathways regulate desiccation tolerance in Saccharomyces cerevisiae., Mol Biol Cell, vol. 24, no. 2, pp. 115-28, 2013.
D. Gresham, Desai, M. M., Tucker, C. M., Jenq, H. T., Pai, D. A., Ward, A., DeSevo, C. G., Botstein, D., and Dunham, M. J., The repertoire and dynamics of evolutionary adaptations to controlled nutrient-limited environments in yeast., PLoS Genet, vol. 4, no. 12, p. e1000303, 2008.
Adenocarcinoma
M. E. Garber, Troyanskaya, O. G., Schluens, K., Petersen, S., Thaesler, Z., Pacyna-Gengelbach, M., van de Rijn, M., Rosen, G. D., Perou, C. M., Whyte, R. I., Altman, R. B., Brown, P. O., Botstein, D., and Petersen, I., Diversity of gene expression in adenocarcinoma of the lung., Proc Natl Acad Sci U S A, vol. 98, no. 24, pp. 13784-9, 2001.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
J. Isaac Murray, Whitfield, M. L., Trinklein, N. D., Myers, R. M., Brown, P. O., and Botstein, D., Diverse and specific gene expression responses to stresses in cultured human cells., Mol Biol Cell, vol. 15, no. 5, pp. 2361-74, 2004.
X. Chen, Leung, S. Y., Yuen, S. T., Chu, K. - M., Ji, J., Li, R., S Y Chan, A., Law, S., Troyanskaya, O. G., Wong, J., So, S., Botstein, D., and Brown, P. O., Variation in gene expression patterns in human gastric cancers., Mol Biol Cell, vol. 14, no. 8, pp. 3208-15, 2003.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
H. Zhao, Whitfield, M. L., Xu, T., Botstein, D., and Brooks, J. D., Diverse effects of methylseleninic acid on the transcriptional program of human prostate cancer cells., Mol Biol Cell, vol. 15, no. 2, pp. 506-19, 2004.
Adenosine Triphosphate
S. M. Block, Asbury, C. L., Shaevitz, J. W., and Lang, M. J., Probing the kinesin reaction cycle with a 2D optical force clamp., Proc Natl Acad Sci U S A, vol. 100, no. 5, pp. 2351-6, 2003.
M. Sun, Wartel, M., Cascales, E., Shaevitz, J. W., and Mignot, T., Motor-driven intracellular transport powers bacterial gliding motility., Proc Natl Acad Sci U S A, vol. 108, no. 18, pp. 7559-64, 2011.
J. D. Rabinowitz, Hsiao, J. J., Gryncel, K. R., Kantrowitz, E. R., Feng, X. - J., Li, G., and Rabitz, H., Dissecting enzyme regulation by multiple allosteric effectors: nucleotide regulation of aspartate transcarbamoylase., Biochemistry, vol. 47, no. 21, pp. 5881-8, 2008.
W. Lu, Su, X., Klein, M. S., Lewis, I. A., Fiehn, O., and Rabinowitz, J. D., Metabolite Measurement: Pitfalls to Avoid and Practices to Follow., Annu Rev Biochem, vol. 86, pp. 277-304, 2017.
K. Casey Huang, Meir, Y., and Wingreen, N. S., Dynamic structures in Escherichia coli: spontaneous formation of MinE rings and MinD polar zones., Proc Natl Acad Sci U S A, vol. 100, no. 22, pp. 12724-8, 2003.
C. N. Peterson, Levchenko, I., Rabinowitz, J. D., Baker, T. A., and Silhavy, T. J., RpoS proteolysis is controlled directly by ATP levels in Escherichia coli., Genes Dev, vol. 26, no. 6, pp. 548-53, 2012.
J. Fan, Kamphorst, J. J., Mathew, R., Chung, M. K., White, E., Shlomi, T., and Rabinowitz, J. D., Glutamine-driven oxidative phosphorylation is a major ATP source in transformed mammalian cells in both normoxia and hypoxia., Mol Syst Biol, vol. 9, p. 712, 2013.
Adenylate Cyclase
T. Gregor, Fujimoto, K., Masaki, N., and Sawai, S., The onset of collective behavior in social amoebae., Science, vol. 328, no. 5981, pp. 1021-5, 2010.
Adipose Tissue, Brown
S. Hui and Rabinowitz, J. D., An unexpected trigger for calorie burning in brown fat., Nature, vol. 560, no. 7716, pp. 38-39, 2018.
ADP-Ribosylation Factor 1
E. S. Click, Stearns, T., and Botstein, D., Systematic structure-function analysis of the small GTPase Arf1 in yeast., Mol Biol Cell, vol. 13, no. 5, pp. 1652-64, 2002.
ADP-Ribosylation Factors
E. S. Click, Stearns, T., and Botstein, D., Systematic structure-function analysis of the small GTPase Arf1 in yeast., Mol Biol Cell, vol. 13, no. 5, pp. 1652-64, 2002.
Adult
I. S. Lossos, Czerwinski, D. K., Alizadeh, A. A., Wechser, M. A., Tibshirani, R., Botstein, D., and Levy, R., Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes., N Engl J Med, vol. 350, no. 18, pp. 1828-37, 2004.
M. L. Whitfield, Finlay, D. R., Murray, J. Isaac, Troyanskaya, O. G., Chi, J. - T., Pergamenschikov, A., McCalmont, T. H., Brown, P. O., Botstein, D., and M Connolly, K., Systemic and cell type-specific gene expression patterns in scleroderma skin., Proc Natl Acad Sci U S A, vol. 100, no. 21, pp. 12319-24, 2003.
S. C. Linn, West, R. B., Pollack, J. R., Zhu, S., Hernandez-Boussard, T., Nielsen, T. O., Rubin, B. P., Patel, iv, R., Goldblum, J. R., Siegmund, D., Botstein, D., Brown, P. O., C Gilks, B., and van de Rijn, M., Gene expression patterns and gene copy number changes in dermatofibrosarcoma protuberans., Am J Pathol, vol. 163, no. 6, pp. 2383-95, 2003.
K. Ranade, Hinds, D., Hsiung, C. Agnes, Chuang, L. - M., Chang, M. - S., Chen, Y. - T., Pesich, R., Hebert, J., Chen, Y. - D. I., Dzau, V., Olshen, R., Curb, D., Botstein, D., Cox, D. R., and Risch, N., A genome scan for hypertension susceptibility loci in populations of Chinese and Japanese origins., Am J Hypertens, vol. 16, no. 2, pp. 158-62, 2003.
T. Sørlie, Perou, C. M., Fan, C., Geisler, S., Aas, T., Nobel, A., Anker, G., Akslen, L. A., Botstein, D., Børresen-Dale, A. - L., and Lønning, P. Eystein, Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer., Mol Cancer Ther, vol. 5, no. 11, pp. 2914-8, 2006.
S. P. Bohen, Troyanskaya, O. G., Alter, O., Warnke, R., Botstein, D., Brown, P. O., and Levy, R., Variation in gene expression patterns in follicular lymphoma and the response to rituximab., Proc Natl Acad Sci U S A, vol. 100, no. 4, pp. 1926-30, 2003.
J. D. Rabinowitz, Lloyd, P. M., Munzar, P., Myers, D. J., Cross, S., Damani, R., Quintana, R., Spyker, D. A., Soni, P., and Cassella, J. V., Ultra-fast absorption of amorphous pure drug aerosols via deep lung inhalation., J Pharm Sci, vol. 95, no. 11, pp. 2438-51, 2006.
K. H. Desai, Tan, C. Seng, Leek, J. T., Maier, R. V., Tompkins, R. G., and Storey, J. D., Dissecting inflammatory complications in critically injured patients by within-patient gene expression changes: a longitudinal clinical genomics study., PLoS Med, vol. 8, no. 9, p. e1001093, 2011.
Aging
S. Luo, Kleemann, G. A., Ashraf, J. M., Shaw, W. M., and Murphy, C. T., TGF-β and insulin signaling regulate reproductive aging via oocyte and germline quality maintenance., Cell, vol. 143, no. 2, pp. 299-312, 2010.
C. T. Murphy, McCarroll, S. A., Bargmann, C. I., Fraser, A., Kamath, R. S., Ahringer, J., Li, H., and Kenyon, C., Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans., Nature, vol. 424, no. 6946, pp. 277-83, 2003.
C. T. Murphy, Lee, S. - J., and Kenyon, C., Tissue entrainment by feedback regulation of insulin gene expression in the endoderm of Caenorhabditis elegans., Proc Natl Acad Sci U S A, vol. 104, no. 48, pp. 19046-50, 2007.
G. Liu, Rogers, J., Murphy, C. T., and Rongo, C., EGF signalling activates the ubiquitin proteasome system to modulate C. elegans lifespan., EMBO J, vol. 30, no. 15, pp. 2990-3003, 2011.
S. A. McCarroll, Murphy, C. T., Zou, S., Pletcher, S. D., Chin, C. - S., Jan, Y. Nung, Kenyon, C., Bargmann, C. I., and Li, H., Comparing genomic expression patterns across species identifies shared transcriptional profile in aging., Nat Genet, vol. 36, no. 2, pp. 197-204, 2004.
R. DiLoreto and Murphy, C. T., The cell biology of aging., Mol Biol Cell, vol. 26, no. 25, pp. 4524-31, 2015.
S. Luo, Shaw, W. M., Ashraf, J., and Murphy, C. T., TGF-beta Sma/Mab signaling mutations uncouple reproductive aging from somatic aging., PLoS Genet, vol. 5, no. 12, p. e1000789, 2009.
P. S. Minhas, Liu, L., Moon, P. K., Joshi, A. U., Dove, C., Mhatre, S., Contrepois, K., Wang, Q., Lee, B. A., Coronado, M., Bernstein, D., Snyder, M. P., Migaud, M., Majeti, R., Mochly-Rosen, D., Rabinowitz, J. D., and Andreasson, K. I., Macrophage de novo NAD synthesis specifies immune function in aging and inflammation., Nat Immunol, vol. 20, no. 1, pp. 50-63, 2019.
C. Y. Ewald, Landis, J. N., Abate, J. Porter, Murphy, C. T., and T Blackwell, K., Dauer-independent insulin/IGF-1-signalling implicates collagen remodelling in longevity., Nature, vol. 519, no. 7541, pp. 97-101, 2015.
A. L. Tyner, Godbout, R., Compton, R. S., and Tilghman, S. M., The ontogeny of alpha-fetoprotein gene expression in the mouse gastrointestinal tract., J Cell Biol, vol. 110, no. 4, pp. 915-27, 1990.
L. - B. Li, Lei, H., Arey, R. N., Li, P., Liu, J., Murphy, C. T., Xu, X. Z. Shawn, and Shen, K., The Neuronal Kinesin UNC-104/KIF1A Is a Key Regulator of Synaptic Aging and Insulin Signaling-Regulated Memory., Curr Biol, vol. 26, no. 5, pp. 605-15, 2016.
A. - L. Hsu, Murphy, C. T., and Kenyon, C., Regulation of aging and age-related disease by DAF-16 and heat-shock factor., Science, vol. 300, no. 5622, pp. 1142-5, 2003.
R. G. Tepper, Murphy, C. T., and Bussemaker, H. J., DAF-16 and PQM-1: partners in longevity., Aging (Albany NY), vol. 6, no. 1, pp. 5-6, 2014.
R. Kaletsky, Lakhina, V., Arey, R., Williams, A., Landis, J., Ashraf, J., and Murphy, C. T., The C. elegans adult neuronal IIS/FOXO transcriptome reveals adult phenotype regulators., Nature, vol. 529, no. 7584, pp. 92-6, 2016.
S. Luo and Murphy, C. T., Caenorhabditis elegans reproductive aging: Regulation and underlying mechanisms., Genesis, vol. 49, no. 2, pp. 53-65, 2011.
S. A. Camper and Tilghman, S. M., Postnatal repression of the alpha-fetoprotein gene is enhancer independent., Genes Dev, vol. 3, no. 4, pp. 537-46, 1989.
A. L. Kauffman, Ashraf, J. M., M Corces-Zimmerman, R., Landis, J. N., and Murphy, C. T., Insulin signaling and dietary restriction differentially influence the decline of learning and memory with age., PLoS Biol, vol. 8, no. 5, p. e1000372, 2010.
C. T. Murphy, Aging: miRacles of longevity?, Curr Biol, vol. 20, no. 24, pp. R1076-8, 2010.
C. T. Murphy, The search for DAF-16/FOXO transcriptional targets: approaches and discoveries., Exp Gerontol, vol. 41, no. 10, pp. 910-21, 2006.
J. Vacher and Tilghman, S. M., Dominant negative regulation of the mouse alpha-fetoprotein gene in adult liver., Science, vol. 250, no. 4988, pp. 1732-5, 1990.
Alcohol Oxidoreductases
Y. Nibu, Senger, K., and Levine, M., CtBP-independent repression in the Drosophila embryo., Mol Cell Biol, vol. 23, no. 11, pp. 3990-9, 2003.
Aldehyde Oxidoreductases
J. L. Marsh and Wieschaus, E., Germ-line dependence of the maroon-like maternal effect in Drosophila., Dev Biol, vol. 60, no. 2, pp. 396-403, 1977.
Algorithms
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., Accurate proteome-wide protein quantification from high-resolution 15N mass spectra., Genome Biol, vol. 12, no. 12, p. R122, 2011.
O. G. Troyanskaya, Arbell, O., Koren, Y., Landau, G. M., and Bolshoy, A., Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity., Bioinformatics, vol. 18, no. 5, pp. 679-88, 2002.
J. Song and Singh, M., How and when should interactome-derived clusters be used to predict functional modules and protein function?, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
J. W. Shaevitz, Block, S. M., and Schnitzer, M. J., Statistical kinetics of macromolecular dynamics., Biophys J, vol. 89, no. 4, pp. 2277-85, 2005.
C. Huttenhower, Schroeder, M., Chikina, M. D., and Troyanskaya, O. G., The Sleipnir library for computational functional genomics., Bioinformatics, vol. 24, no. 13, pp. 1559-61, 2008.
S. Goyal and Wingreen, N. S., Growth-induced instability in metabolic networks., Phys Rev Lett, vol. 98, no. 13, p. 138105, 2007.
P. V. Gordon, Muratov, C. B., and Shvartsman, S. Y., Local accumulation times for source, diffusion, and degradation models in two and three dimensions., J Chem Phys, vol. 138, no. 10, p. 104121, 2013.
C. H. Hansen, Sourjik, V., and Wingreen, N. S., A dynamic-signaling-team model for chemotaxis receptors in Escherichia coli., Proc Natl Acad Sci U S A, vol. 107, no. 40, pp. 17170-5, 2010.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., Quantitative analysis of fitness and genetic interactions in yeast on a genome scale., Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
P. A. DiMaggio, McAllister, S. R., Floudas, C. A., Feng, X. - J., Rabinowitz, J. D., and Rabitz, H. A., Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies., BMC Bioinformatics, vol. 9, p. 458, 2008.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
C. Huttenhower and Troyanskaya, O. G., Bayesian data integration: a functional perspective., Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps., Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
G. Wallace, Anshus, O. J., Bi, P., Chen, H., Chen, Y., Clark, D., Cook, P., Finkelstein, A., Funkhouser, T., Gupta, A., Hibbs, M., Li, K., Liu, Z., Samanta, R., Sukthankar, R., and Troyanskaya, O., Tools and applications for large-scale display walls., IEEE Comput Graph Appl, vol. 25, no. 4, pp. 24-33, 2005.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
C. Y. Park, Hess, D. C., Huttenhower, C., and Troyanskaya, O. G., Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components., PLoS Comput Biol, vol. 6, no. 11, p. e1001009, 2010.
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