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: Wühr, Martin | 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 | Akey, Joshua

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Models, Chemical
M. L. Skoge, Endres, R. G., and Wingreen, N. S., Receptor-receptor coupling in bacterial chemotaxis: evidence for strongly coupled clusters., Biophys J, vol. 90, no. 12, pp. 4317-26, 2006.
S. Wang and Wingreen, N. S., Cell shape can mediate the spatial organization of the bacterial cytoskeleton., Biophys J, vol. 104, no. 3, pp. 541-52, 2013.
M. Pribyl, Muratov, C. B., and Shvartsman, S. Y., Long-range signal transmission in autocrine relays., Biophys J, vol. 84, no. 2 Pt 1, pp. 883-96, 2003.
A. S. Futran, A Link, J., Seger, R., and Shvartsman, S. Y., ERK as a model for systems biology of enzyme kinetics in cells., Curr Biol, vol. 23, no. 21, pp. R972-9, 2013.
R. V. Kulkarni, Huang, K. Casey, Kloster, M., and Wingreen, N. S., Pattern formation within Escherichia coli: diffusion, membrane attachment, and self-interaction of MinD molecules., Phys Rev Lett, vol. 93, no. 22, p. 228103, 2004.
G. Tkačik and Bialek, W., Diffusion, dimensionality, and noise in transcriptional regulation., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 79, no. 5 Pt 1, p. 051901, 2009.
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.
E. Emberly and Wingreen, N. S., Hourglass model for a protein-based circadian oscillator., Phys Rev Lett, vol. 96, no. 3, p. 038303, 2006.
E. G. Emberly, Mukhopadhyay, R., Wingreen, N. S., and Tang, C., Flexibility of alpha-helices: results of a statistical analysis of database protein structures., J Mol Biol, vol. 327, no. 1, pp. 229-37, 2003.
C. L. Kingsford, Chazelle, B., and Singh, M., Solving and analyzing side-chain positioning problems using linear and integer programming., Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
C. L. Vizcarra, Zhang, N., Marshall, S. A., Wingreen, N. S., Zeng, C., and Mayo, S. L., An improved pairwise decomposable finite-difference Poisson-Boltzmann method for computational protein design., J Comput Chem, vol. 29, no. 7, pp. 1153-62, 2008.
R. Mukhopadhyay, Huang, K. Casey, and Wingreen, N. S., Lipid localization in bacterial cells through curvature-mediated microphase separation., Biophys J, vol. 95, no. 3, pp. 1034-49, 2008.
Models, Genetic
E. Wieschaus, Embryonic transcription and the control of developmental pathways., Genetics, vol. 142, no. 1, pp. 5-10, 1996.
B. Haley, Foys, B., and Levine, M., Vectors and parameters that enhance the efficacy of RNAi-mediated gene disruption in transgenic Drosophila., Proc Natl Acad Sci U S A, vol. 107, no. 25, pp. 11435-40, 2010.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
M. Ronen and Botstein, D., Transcriptional response of steady-state yeast cultures to transient perturbations in carbon source., Proc Natl Acad Sci U S A, vol. 103, no. 2, pp. 389-94, 2006.
P. Andolfatto, Adaptive evolution of non-coding DNA in Drosophila., Nature, vol. 437, no. 7062, pp. 1149-52, 2005.
D. Gresham, Usaite, R., Germann, S. Manuela, Lisby, M., Botstein, D., and Regenberg, B., Adaptation to diverse nitrogen-limited environments by deletion or extrachromosomal element formation of the GAP1 locus., Proc Natl Acad Sci U S A, vol. 107, no. 43, pp. 18551-6, 2010.
G. Tkačik, Callan, C. G., and Bialek, W., Information capacity of genetic regulatory elements., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 78, no. 1 Pt 1, p. 011910, 2008.
G. Tkačik, Walczak, A. M., and Bialek, W., Optimizing information flow in small genetic networks. III. A self-interacting gene., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 85, no. 4 Pt 1, p. 041903, 2012.
A. B. Wolf and Akey, J. M., Outstanding questions in the study of archaic hominin admixture., PLoS Genet, vol. 14, no. 5, p. e1007349, 2018.
A. M. Walczak, Tkačik, G., and Bialek, W., Optimizing information flow in small genetic networks. II. Feed-forward interactions., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 81, no. 4 Pt 1, p. 041905, 2010.
P. Andolfatto, Controlling type-I error of the McDonald-Kreitman test in genomewide scans for selection on noncoding DNA., Genetics, vol. 180, no. 3, pp. 1767-71, 2008.
G. Tkačik, Walczak, A. M., and Bialek, W., Optimizing information flow in small genetic networks., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 80, no. 3 Pt 1, p. 031920, 2009.
U. Ober, Ayroles, J. F., Stone, E. A., Richards, S., Zhu, D., Gibbs, R. A., Stricker, C., Gianola, D., Schlather, M., Mackay, T. F. C., and Simianer, H., Using whole-genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster., PLoS Genet, vol. 8, no. 5, p. e1002685, 2012.
D. S. A. Simakov, Cheung, L. S., Pismen, L. M., and Shvartsman, S. Y., EGFR-dependent network interactions that pattern Drosophila eggshell appendages., Development, vol. 139, no. 15, pp. 2814-20, 2012.
P. Andolfatto, J Scriber, M., and Charlesworth, B., No association between mitochondrial DNA haplotypes and a female-limited mimicry phenotype in Papilio glaucus., Evolution, vol. 57, no. 2, pp. 305-16, 2003.
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.
P. Morize, Christiansen, A. E., Costa, M., Parks, S., and Wieschaus, E., Hyperactivation of the folded gastrulation pathway induces specific cell shape changes., Development, vol. 125, no. 4, pp. 589-97, 1998.
C. T. Murphy, The search for DAF-16/FOXO transcriptional targets: approaches and discoveries., Exp Gerontol, vol. 41, no. 10, pp. 910-21, 2006.
G. Tkačik and Bialek, W., Diffusion, dimensionality, and noise in transcriptional regulation., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 79, no. 5 Pt 1, p. 051901, 2009.
J. P. Huelsenbeck and Andolfatto, P., Inference of population structure under a Dirichlet process model., Genetics, vol. 175, no. 4, pp. 1787-802, 2007.
Y. Kim, Iagovitina, A., Ishihara, K., Fitzgerald, K. M., Deplancke, B., Papatsenko, D., and Shvartsman, S. Y., Context-dependent transcriptional interpretation of mitogen activated protein kinase signaling in the Drosophila embryo., Chaos, vol. 23, no. 2, p. 025105, 2013.
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., A cross-genomic approach for systematic mapping of phenotypic traits to genes., Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
G. I. Lang, Botstein, D., and Desai, M. M., Genetic variation and the fate of beneficial mutations in asexual populations., Genetics, vol. 188, no. 3, pp. 647-61, 2011.
D. J. Wilson, Hernandez, R. D., Andolfatto, P., and Przeworski, M., A population genetics-phylogenetics approach to inferring natural selection in coding sequences., PLoS Genet, vol. 7, no. 12, p. e1002395, 2011.
K. Thornton and Andolfatto, P., Approximate Bayesian inference reveals evidence for a recent, severe bottleneck in a Netherlands population of Drosophila melanogaster., Genetics, vol. 172, no. 3, pp. 1607-19, 2006.
J. D. Jensen, Thornton, K. R., and Andolfatto, P., An approximate bayesian estimator suggests strong, recurrent selective sweeps in Drosophila., PLoS Genet, vol. 4, no. 9, p. e1000198, 2008.
W. Wang, J Cherry, M., Nochomovitz, Y., Jolly, E., Botstein, D., and Li, H., Inference of combinatorial regulation in yeast transcriptional networks: a case study of sporulation., Proc Natl Acad Sci U S A, vol. 102, no. 6, pp. 1998-2003, 2005.
A. Stathopoulos and Levine, M., Localized repressors delineate the neurogenic ectoderm in the early Drosophila embryo., Dev Biol, vol. 280, no. 2, pp. 482-93, 2005.
E. Schneidman, Still, S., Berry, M. J., and Bialek, W., Network information and connected correlations., Phys Rev Lett, vol. 91, no. 23, p. 238701, 2003.
N. S. Wingreen, Miller, J., and Cox, E. C., Scaling of mutational effects in models for pleiotropy., Genetics, vol. 164, no. 3, pp. 1221-8, 2003.
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.
A. Stathopoulos, Van Drenth, M., Erives, A., Markstein, M., and Levine, M., Whole-genome analysis of dorsal-ventral patterning in the Drosophila embryo., Cell, vol. 111, no. 5, pp. 687-701, 2002.
J. Yuan, Doucette, C. D., Fowler, W. U., Feng, X. - J., Piazza, M., Rabitz, H. A., Wingreen, N. S., and Rabinowitz, J. D., Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli., Mol Syst Biol, vol. 5, p. 302, 2009.
S. M. Tilghman, Bartolomei, M. S., Webber, A. L., Brunkow, M. E., Saam, J., Leighton, P. A., Pfeifer, K., and Zemel, S., Parental imprinting of the H19 and Igf2 genes in the mouse., Cold Spring Harb Symp Quant Biol, vol. 58, pp. 287-95, 1993.
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.
D. Papatsenko and Levine, M., Quantitative analysis of binding motifs mediating diverse spatial readouts of the Dorsal gradient in the Drosophila embryo., Proc Natl Acad Sci U S A, vol. 102, no. 14, pp. 4966-71, 2005.
K. C. Rowe, Singhal, S., Macmanes, M. D., Ayroles, J. F., Morelli, T. Lyn, Rubidge, E. M., Bi, K., and Moritz, C. C., Museum genomics: low-cost and high-accuracy genetic data from historical specimens., Mol Ecol Resour, vol. 11, no. 6, pp. 1082-92, 2011.
J. D. Wall, Andolfatto, P., and Przeworski, M., Testing models of selection and demography in Drosophila simulans., Genetics, vol. 162, no. 1, pp. 203-16, 2002.
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.
E. Segal, Shapira, M., Regev, iv, A., Pe'er, D., Botstein, D., Koller, D., and Friedman, N., Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data., Nat Genet, vol. 34, no. 2, pp. 166-76, 2003.
K. Senger, Armstrong, G. W., Rowell, W. J., Kwan, J. M., Markstein, M., and Levine, M., Immunity regulatory DNAs share common organizational features in Drosophila., Mol Cell, vol. 13, no. 1, pp. 19-32, 2004.
D. Botstein, Ira Herskowitz: 1946-2003., Genetics, vol. 166, no. 2, pp. 653-60, 2004.
J. F. Ayroles, Laflamme, B. A., Stone, E. A., Wolfner, M. F., and Mackay, T. F. C., Functional genome annotation of Drosophila seminal fluid proteins using transcriptional genetic networks., Genet Res (Camb), vol. 93, no. 6, pp. 387-95, 2011.
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
E. A. Stone and Ayroles, J. F., Modulated modularity clustering as an exploratory tool for functional genomic inference., PLoS Genet, vol. 5, no. 5, p. e1000479, 2009.
P. A. Leighton, Saam, J. R., Ingram, R. S., and Tilghman, S. M., Genomic imprinting in mice: its function and mechanism., Biol Reprod, vol. 54, no. 2, pp. 273-8, 1996.
P. Andolfatto, Hitchhiking effects of recurrent beneficial amino acid substitutions in the Drosophila melanogaster genome., Genome Res, vol. 17, no. 12, pp. 1755-62, 2007.
S. M. Tilghman, Parental imprinting in the mouse., Harvey Lect, vol. 87, pp. 69-84, 1991.
K. Pfeifer and Tilghman, S. M., Allele-specific gene expression in mammals: the curious case of the imprinted RNAs., Genes Dev, vol. 8, no. 16, pp. 1867-74, 1994.
E. J. Banigan, Gelbart, M. A., Gitai, Z., Wingreen, N. S., and Liu, A. J., Filament depolymerization can explain chromosome pulling during bacterial mitosis., PLoS Comput Biol, vol. 7, no. 9, p. e1002145, 2011.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
P. Jiang, Singh, M., and Coller, H. A., Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay., PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
A. S. Putnam, J Scriber, M., and Andolfatto, P., Discordant divergence times among Z-chromosome regions between two ecologically distinct swallowtail butterfly species., Evolution, vol. 61, no. 4, pp. 912-27, 2007.
O. G. Troyanskaya, Garber, M. E., Brown, P. O., Botstein, D., and Altman, R. B., Nonparametric methods for identifying differentially expressed genes in microarray data., Bioinformatics, vol. 18, no. 11, pp. 1454-61, 2002.
D. J. Brooks, Fresco, J. R., Lesk, A. M., and Singh, M., Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code., Mol Biol Evol, vol. 19, no. 10, pp. 1645-55, 2002.
M. Levine and Davidson, E. H., Gene regulatory networks for development., Proc Natl Acad Sci U S A, vol. 102, no. 14, pp. 4936-42, 2005.
Models, Immunological
T. Mora, Walczak, A. M., Bialek, W., and Callan, C. G., Maximum entropy models for antibody diversity., Proc Natl Acad Sci U S A, vol. 107, no. 12, pp. 5405-10, 2010.
Models, Molecular
M. L. Skoge, Endres, R. G., and Wingreen, N. S., Receptor-receptor coupling in bacterial chemotaxis: evidence for strongly coupled clusters., Biophys J, vol. 90, no. 12, pp. 4317-26, 2006.
S. Nadimpalli Kobren and Singh, M., Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions., Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
L. Furchtgott, Wingreen, N. S., and Huang, K. Casey, Mechanisms for maintaining cell shape in rod-shaped Gram-negative bacteria., Mol Microbiol, vol. 81, no. 2, pp. 340-53, 2011.
M. F. Clasquin, Melamud, E., Singer, A., Gooding, J. R., Xu, X., Dong, A., Cui, H., Campagna, S. R., Savchenko, A., Yakunin, A. F., Rabinowitz, J. D., and Caudy, A. A., Riboneogenesis in yeast., Cell, vol. 145, no. 6, pp. 969-80, 2011.
R. G. Endres, Schulthess, T. C., and Wingreen, N. S., Toward an atomistic model for predicting transcription-factor binding sites., Proteins, vol. 57, no. 2, pp. 262-8, 2004.
K. Casey Huang and Wingreen, N. S., Min-protein oscillations in round bacteria., Phys Biol, vol. 1, no. 3-4, pp. 229-35, 2004.
E. Kruus, Thumfort, P., Tang, C., and Wingreen, N. S., Gibbs sampling and helix-cap motifs., Nucleic Acids Res, vol. 33, no. 16, pp. 5343-53, 2005.
E. G. Emberly, Mukhopadhyay, R., Tang, C., and Wingreen, N. S., Flexibility of beta-sheets: principal component analysis of database protein structures., Proteins, vol. 55, no. 1, pp. 91-8, 2004.
W. Ndifon, Wingreen, N. S., and Levin, S. A., Differential neutralization efficiency of hemagglutinin epitopes, antibody interference, and the design of influenza vaccines., Proc Natl Acad Sci U S A, vol. 106, no. 21, pp. 8701-6, 2009.
W. - L. Ng, Wei, Y., Perez, L. J., Cong, J., Long, T., Koch, M., Semmelhack, M. F., Wingreen, N. S., and Bassler, B. L., Probing bacterial transmembrane histidine kinase receptor-ligand interactions with natural and synthetic molecules., Proc Natl Acad Sci U S A, vol. 107, no. 12, pp. 5575-80, 2010.
E. G. Emberly, Mukhopadhyay, R., Wingreen, N. S., and Tang, C., Flexibility of alpha-helices: results of a statistical analysis of database protein structures., J Mol Biol, vol. 327, no. 1, pp. 229-37, 2003.
S. Weng, Dong, Q., Balakrishnan, R., Christie, K., Costanzo, M., Dolinski, K., Dwight, S. S., Engel, S., Fisk, D. G., Hong, E., Issel-Tarver, L., Sethuraman, A., Theesfeld, C., Andrada, R., Binkley, G., Lane, C., Schroeder, M., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides biochemical and structural information for budding yeast proteins., Nucleic Acids Res, vol. 31, no. 1, pp. 216-8, 2003.
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.
A. V. Persikov and Singh, M., An expanded binding model for Cys2His2 zinc finger protein-DNA interfaces., Phys Biol, vol. 8, no. 3, p. 035010, 2011.
E. G. Emberly, Wingreen, N. S., and Tang, C., Designability of alpha-helical proteins., Proc Natl Acad Sci U S A, vol. 99, no. 17, pp. 11163-8, 2002.
J. H. Fong, Keating, A. E., and Singh, M., Predicting specificity in bZIP coiled-coil protein interactions., Genome Biol, vol. 5, no. 2, p. R11, 2004.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure., PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
R. Mukhopadhyay, Emberly, E., Tang, C., and Wingreen, N. S., Statistical mechanics of RNA folding: importance of alphabet size., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 68, no. 4 Pt 1, p. 041904, 2003.
J. Miller, Zeng, C., Wingreen, N. S., and Tang, C., Emergence of highly designable protein-backbone conformations in an off-lattice model., Proteins, vol. 47, no. 4, pp. 506-12, 2002.
E. G. Emberly, Miller, J., Zeng, C., Wingreen, N. S., and Tang, C., Identifying proteins of high designability via surface-exposure patterns., Proteins, vol. 47, no. 3, pp. 295-304, 2002.
R. C. Kelly, Bolitho, M. E., Higgins, D. A., Lu, W., Ng, W. - L., Jeffrey, P. D., Rabinowitz, J. D., Semmelhack, M. F., Hughson, F. M., and Bassler, B. L., The Vibrio cholerae quorum-sensing autoinducer CAI-1: analysis of the biosynthetic enzyme CqsA., Nat Chem Biol, vol. 5, no. 12, pp. 891-5, 2009.
Models, Neurological
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.
G. J. Stephens, Osborne, L. C., and Bialek, W., Searching for simplicity in the analysis of neurons and behavior., Proc Natl Acad Sci U S A, vol. 108 Suppl 3, pp. 15565-71, 2011.
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.
T. Sharpee and Bialek, W., Neural decision boundaries for maximal information transmission., PLoS One, vol. 2, no. 7, p. e646, 2007.
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, Still, S., Berry, M. J., and Bialek, W., Network information and connected correlations., Phys Rev Lett, vol. 91, no. 23, p. 238701, 2003.
L. C. Osborne, Lisberger, S. G., and Bialek, W., A sensory source for motor variation., Nature, vol. 437, no. 7057, pp. 412-6, 2005.
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.
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.
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.
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.
Models, Statistical
C. Huttenhower and Troyanskaya, O. G., Bayesian data integration: a functional perspective., Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
O. G. Troyanskaya, Garber, M. E., Brown, P. O., Botstein, D., and Altman, R. B., Nonparametric methods for identifying differentially expressed genes in microarray data., Bioinformatics, vol. 18, no. 11, pp. 1454-61, 2002.
K. M. Chen, Cofer, E. M., Zhou, J., and Troyanskaya, O. G., Selene: a PyTorch-based deep learning library for sequence data., Nat Methods, vol. 16, no. 4, pp. 315-318, 2019.
Y. Guan, Myers, C. L., Lu, R., Lemischka, I. R., Bult, C. J., and Troyanskaya, O. G., A genomewide functional network for the laboratory mouse., PLoS Comput Biol, vol. 4, no. 9, p. e1000165, 2008.
D. L. Halligan, Eyre-Walker, A., Andolfatto, P., and Keightley, P. D., Patterns of evolutionary constraints in intronic and intergenic DNA of Drosophila., Genome Res, vol. 14, no. 2, pp. 273-9, 2004.
L. S. Chen and Storey, J. D., Eigen-R2 for dissecting variation in high-dimensional studies., Bioinformatics, vol. 24, no. 19, pp. 2260-2, 2008.
G. Tkačik, Callan, C. G., and Bialek, W., Information capacity of genetic regulatory elements., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 78, no. 1 Pt 1, p. 011910, 2008.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
R. V. Kulkarni, Huang, K. Casey, Kloster, M., and Wingreen, N. S., Pattern formation within Escherichia coli: diffusion, membrane attachment, and self-interaction of MinD molecules., Phys Rev Lett, vol. 93, no. 22, p. 228103, 2004.
D. Straile, Eckmann, R., Jüngling, T., Thomas, G., and Löffler, H., Influence of climate variability on whitefish (Coregonus lavaretus) year-class strength in a deep, warm monomictic lake., Oecologia, vol. 151, no. 3, pp. 521-9, 2007.
G. Tkačik and Bialek, W., Diffusion, dimensionality, and noise in transcriptional regulation., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 79, no. 5 Pt 1, p. 051901, 2009.
J. P. Huelsenbeck and Andolfatto, P., Inference of population structure under a Dirichlet process model., Genetics, vol. 175, no. 4, pp. 1787-802, 2007.
L. Abouchar, Petkova, M. D., Steinhardt, C. R., and Gregor, T., Fly wing vein patterns have spatial reproducibility of a single cell., J R Soc Interface, vol. 11, no. 97, p. 20140443, 2014.
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.
J. D. Jensen, Thornton, K. R., and Andolfatto, P., An approximate bayesian estimator suggests strong, recurrent selective sweeps in Drosophila., PLoS Genet, vol. 4, no. 9, p. e1000198, 2008.
Y. -suk Lee, Krishnan, A., Zhu, Q., and Troyanskaya, O. G., Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies., Bioinformatics, vol. 29, no. 23, pp. 3036-44, 2013.
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.
E. Emberly and Wingreen, N. S., Hourglass model for a protein-based circadian oscillator., Phys Rev Lett, vol. 96, no. 3, p. 038303, 2006.
C. Y. Park, Wong, A. K., Greene, C. S., Rowland, J., Guan, Y., Bongo, L. A., Burdine, R. D., and Troyanskaya, O. G., Functional knowledge transfer for high-accuracy prediction of under-studied biological processes., PLoS Comput Biol, vol. 9, no. 3, p. e1002957, 2013.
G. J. Stephens, Mora, T., Tkačik, G., and Bialek, W., Statistical thermodynamics of natural images., Phys Rev Lett, vol. 110, no. 1, p. 018701, 2013.
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.
N. Brenner, Agam, O., Bialek, W., and van Steveninck, Rde Ruyter, Statistical properties of spike trains: universal and stimulus-dependent aspects., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 66, no. 3 Pt 1, p. 031907, 2002.
R. Mukhopadhyay, Emberly, E., Tang, C., and Wingreen, N. S., Statistical mechanics of RNA folding: importance of alphabet size., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 68, no. 4 Pt 1, p. 041904, 2003.
E. Segal, Shapira, M., Regev, iv, A., Pe'er, D., Botstein, D., Koller, D., and Friedman, N., Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data., Nat Genet, vol. 34, no. 2, pp. 166-76, 2003.
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
W. Bialek, Cavagna, A., Giardina, I., Mora, T., Silvestri, E., Viale, M., and Walczak, A. M., Statistical mechanics for natural flocks of birds., Proc Natl Acad Sci U S A, vol. 109, no. 13, pp. 4786-91, 2012.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
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.
Models, Theoretical
Y. Kim, Andreu, M. José, Lim, B., Chung, K., Terayama, M., Jiménez, G., Berg, C. A., Lu, H., and Shvartsman, S. Y., Gene regulation by MAPK substrate competition., Dev Cell, vol. 20, no. 6, pp. 880-7, 2011.
A. M. Berezhkovskii, Batsilas, L., and Shvartsman, S. Y., Ligand trapping in epithelial layers and cell cultures., Biophys Chem, vol. 107, no. 3, pp. 221-7, 2004.
S. Y. Shvartsman, Muratov, C. B., and Lauffenburger, D. A., Modeling and computational analysis of EGF receptor-mediated cell communication in Drosophila oogenesis., Development, vol. 129, no. 11, pp. 2577-89, 2002.
M. I. Monine, Berezhkovskii, A. M., Joslin, E. J., H Wiley, S., Lauffenburger, D. A., and Shvartsman, S. Y., Ligand accumulation in autocrine cell cultures., Biophys J, vol. 88, no. 4, pp. 2384-90, 2005.
U. Ober, Ayroles, J. F., Stone, E. A., Richards, S., Zhu, D., Gibbs, R. A., Stricker, C., Gianola, D., Schlather, M., Mackay, T. F. C., and Simianer, H., Using whole-genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster., PLoS Genet, vol. 8, no. 5, p. e1002685, 2012.
D. S. A. Simakov, Cheung, L. S., Pismen, L. M., and Shvartsman, S. Y., EGFR-dependent network interactions that pattern Drosophila eggshell appendages., Development, vol. 139, no. 15, pp. 2814-20, 2012.
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.
S. Y. Shvartsman and Baker, R. E., Mathematical models of morphogen gradients and their effects on gene expression., Wiley Interdiscip Rev Dev Biol, vol. 1, no. 5, pp. 715-30, 2012.
E. Schneidman, Still, S., Berry, M. J., and Bialek, W., Network information and connected correlations., Phys Rev Lett, vol. 91, no. 23, p. 238701, 2003.
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.
S. Neumann, Hansen, C. H., Wingreen, N. S., and Sourjik, V., Differences in signalling by directly and indirectly binding ligands in bacterial chemotaxis., EMBO J, vol. 29, no. 20, pp. 3484-95, 2010.
M. Osterfield, Du, X. X., Schüpbach, T., Wieschaus, E., and Shvartsman, S. Y., Three-dimensional epithelial morphogenesis in the developing Drosophila egg., Dev Cell, vol. 24, no. 4, pp. 400-10, 2013.
W. Bialek, Cavagna, A., Giardina, I., Mora, T., Pohl, O., Silvestri, E., Viale, M., and Walczak, A. M., Social interactions dominate speed control in poising natural flocks near criticality., Proc Natl Acad Sci U S A, vol. 111, no. 20, pp. 7212-7, 2014.
G. J. Stephens, Mora, T., Tkačik, G., and Bialek, W., Statistical thermodynamics of natural images., Phys Rev Lett, vol. 110, no. 1, p. 018701, 2013.
A. M. Berezhkovskii, Monine, M. I., Muratov, C. B., and Shvartsman, S. Y., Homogenization of boundary conditions for surfaces with regular arrays of traps., J Chem Phys, vol. 124, no. 3, p. 036103, 2006.
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.
H. Li, Tang, C., and Wingreen, N. S., Designability of protein structures: a lattice-model study using the Miyazawa-Jernigan matrix., Proteins, vol. 49, no. 3, pp. 403-12, 2002.
G. J. Stephens and Bialek, W., Statistical mechanics of letters in words., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 81, no. 6 Pt 2, p. 066119, 2010.
B. P. Bratton and Shaevitz, J. W., Simple Experimental Methods for Determining the Apparent Focal Shift in a Microscope System., PLoS One, vol. 10, no. 8, p. e0134616, 2015.
M. Pribyl, Muratov, C. B., and Shvartsman, S. Y., Transitions in the model of epithelial patterning., Dev Dyn, vol. 226, no. 1, pp. 155-9, 2003.
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.
Molecular Motor Proteins
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.
T. Mignot, Shaevitz, J. W., Hartzell, P. L., and Zusman, D. R., Evidence that focal adhesion complexes power bacterial gliding motility., Science, vol. 315, no. 5813, pp. 853-6, 2007.
T. Mora, Bai, F., Che, Y. - S., Minamino, T., Namba, K., and Wingreen, N. S., Non-genetic individuality in Escherichia coli motor switching., Phys Biol, vol. 8, no. 2, p. 024001, 2011.
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.
T. Caspary, Cleary, M. A., Perlman, E. J., Zhang, P., Elledge, S. J., and Tilghman, S. M., Oppositely imprinted genes p57(Kip2) and igf2 interact in a mouse model for Beckwith-Wiedemann syndrome., Genes Dev, vol. 13, no. 23, pp. 3115-24, 1999.
T. Mora, Yu, H., Sowa, Y., and Wingreen, N. S., Steps in the bacterial flagellar motor., PLoS Comput Biol, vol. 5, no. 10, p. e1000540, 2009.
T. Mora, Yu, H., and Wingreen, N. S., Modeling torque versus speed, shot noise, and rotational diffusion of the bacterial flagellar motor., Phys Rev Lett, vol. 103, no. 24, p. 248102, 2009.
S. P. Gross, Welte, M. A., Block, S. M., and Wieschaus, E. F., Dynein-mediated cargo transport in vivo. A switch controls travel distance., J Cell Biol, vol. 148, no. 5, pp. 945-56, 2000.
Molecular Sequence Annotation
P. A. Gibney, Lu, C., Caudy, A. A., Hess, D. C., and Botstein, D., Yeast metabolic and signaling genes are required for heat-shock survival and have little overlap with the heat-induced genes., Proc Natl Acad Sci U S A, vol. 110, no. 46, pp. E4393-402, 2013.
A. A. Caudy, Guan, Y., Jia, Y., Hansen, C., DeSevo, C., Hayes, A. P., Agee, J., Alvarez-Dominguez, J. R., Arellano, H., Barrett, D., Bauerle, C., Bisaria, N., Bradley, P. H., J Breunig, S., Bush, E., Cappel, D., Capra, E., Chen, W., Clore, J., Combs, P. A., Doucette, C., Demuren, O., Fellowes, P., Freeman, S., Frenkel, E., Gadala-Maria, D., Gawande, R., Glass, D., Grossberg, S., Gupta, A., Hammonds-Odie, L., Hoisos, A., Hsi, J., Hsu, Y. - H. Huang, Inukai, S., Karczewski, K. J., Ke, X., Kojima, M., Leachman, S., Lieber, D., Liebowitz, A., Liu, J., Liu, Y., Martin, T., Mena, J., Mendoza, R., Myhrvold, C., Millian, C., Pfau, S., Raj, S., Rich, M., Rokicki, J., Rounds, W., Salazar, M., Salesi, M., Sharma, R., Silverman, S., Singer, C., Sinha, S., Staller, M., Stern, P., Tang, H., Weeks, S., Weidmann, M., Wolf, A., Young, C., Yuan, J., Crutchfield, C., McClean, M., Murphy, C. T., Llinás, M., Botstein, D., Troyanskaya, O. G., and Dunham, M. J., A new system for comparative functional genomics of Saccharomyces yeasts., Genetics, vol. 195, no. 1, pp. 275-87, 2013.
A. Ochoa, Llinás, M., and Singh, M., Using context to improve protein domain identification., BMC Bioinformatics, vol. 12, p. 90, 2011.
D. Botstein, Why we need more basic biology research, not less., Mol Biol Cell, vol. 23, no. 21, pp. 4160-1, 2012.
D. Ghersi and Singh, M., Disentangling function from topology to infer the network properties of disease genes., BMC Syst Biol, vol. 7, p. 5, 2013.
J. F. Ayroles, Laflamme, B. A., Stone, E. A., Wolfner, M. F., and Mackay, T. F. C., Functional genome annotation of Drosophila seminal fluid proteins using transcriptional genetic networks., Genet Res (Camb), vol. 93, no. 6, pp. 387-95, 2011.
Molecular Sequence Data
A. S. Putnam, J Scriber, M., and Andolfatto, P., Discordant divergence times among Z-chromosome regions between two ecologically distinct swallowtail butterfly species., Evolution, vol. 61, no. 4, pp. 912-27, 2007.
P. R. Haddrill, Thornton, K. R., Charlesworth, B., and Andolfatto, P., Multilocus patterns of nucleotide variability and the demographic and selection history of Drosophila melanogaster populations., Genome Res, vol. 15, no. 6, pp. 790-9, 2005.
J. M. Guberman, Fay, A., Dworkin, J., Wingreen, N. S., and Gitai, Z., PSICIC: noise and asymmetry in bacterial division revealed by computational image analysis at sub-pixel resolution., PLoS Comput Biol, vol. 4, no. 11, p. e1000233, 2008.
X. J. Guan, Arhin, G., Leung, J., and Tilghman, S. M., Linkage between vitamin D-binding protein and alpha-fetoprotein in the mouse., Mamm Genome, vol. 7, no. 2, pp. 103-6, 1996.
S. R McIsaac, Oakes, B. L., Botstein, D., and Noyes, M. B., Rapid synthesis and screening of chemically activated transcription factors with GFP-based reporters., J Vis Exp, no. 81, p. e51153, 2013.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
M. Lagha, Bothma, J. P., Esposito, E., Ng, S., Stefanik, L., Tsui, C., Johnston, J., Chen, K., Gilmour, D. S., Zeitlinger, J., and Levine, M. S., Paused Pol II coordinates tissue morphogenesis in the Drosophila embryo., Cell, vol. 153, no. 5, pp. 976-87, 2013.
M. Shakoury-Elizeh, Tiedeman, J., Rashford, J., Ferea, T., Demeter, J., Garcia, E., Rolfes, R., Brown, P. O., Botstein, D., and Philpott, C. C., Transcriptional remodeling in response to iron deprivation in Saccharomyces cerevisiae., Mol Biol Cell, vol. 15, no. 3, pp. 1233-43, 2004.
K. Casey Huang, Mukhopadhyay, R., and Wingreen, N. S., A curvature-mediated mechanism for localization of lipids to bacterial poles., PLoS Comput Biol, vol. 2, no. 11, p. e151, 2006.
J. Vacher, Camper, S. A., Krumlauf, R., Compton, R. S., and Tilghman, S. M., raf regulates the postnatal repression of the mouse alpha-fetoprotein gene at the posttranscriptional level., Mol Cell Biol, vol. 12, no. 2, pp. 856-64, 1992.
J. P. Roose, Diehn, M., Tomlinson, M. G., Lin, J., Alizadeh, A. A., Botstein, D., Brown, P. O., and Weiss, A., T cell receptor-independent basal signaling via Erk and Abl kinases suppresses RAG gene expression., PLoS Biol, vol. 1, no. 2, p. E53, 2003.
M. Peifer and Wieschaus, E., The segment polarity gene armadillo encodes a functionally modular protein that is the Drosophila homolog of human plakoglobin., Cell, vol. 63, no. 6, pp. 1167-76, 1990.
D. L. Halligan, Eyre-Walker, A., Andolfatto, P., and Keightley, P. D., Patterns of evolutionary constraints in intronic and intergenic DNA of Drosophila., Genome Res, vol. 14, no. 2, pp. 273-9, 2004.
D. Gresham, Usaite, R., Germann, S. Manuela, Lisby, M., Botstein, D., and Regenberg, B., Adaptation to diverse nitrogen-limited environments by deletion or extrachromosomal element formation of the GAP1 locus., Proc Natl Acad Sci U S A, vol. 107, no. 43, pp. 18551-6, 2010.
E. K. Farley, Olson, K. M., Zhang, W., Brandt, A. J., Rokhsar, D. S., and Levine, M. S., Suboptimization of developmental enhancers., Science, vol. 350, no. 6258, pp. 325-8, 2015.
C. Rauskolb, Smith, K. M., Peifer, M., and Wieschaus, E., extradenticle determines segmental identities throughout Drosophila development., Development, vol. 121, no. 11, pp. 3663-73, 1995.
T. P. O'Brien, Metallinos, D. L., Chen, H., Shin, M. K., and Tilghman, S. M., Complementation mapping of skeletal and central nervous system abnormalities in mice of the piebald deletion complex., Genetics, vol. 143, no. 1, pp. 447-61, 1996.
P. Barron Abitua, T Gainous, B., Kaczmarczyk, A. N., Winchell, C. J., Hudson, C., Kamata, K., Nakagawa, M., Tsuda, M., Kusakabe, T. G., and Levine, M., The pre-vertebrate origins of neurogenic placodes., Nature, vol. 524, no. 7566, pp. 462-5, 2015.
K. Thornton, Bachtrog, D., and Andolfatto, P., X chromosomes and autosomes evolve at similar rates in Drosophila: no evidence for faster-X protein evolution., Genome Res, vol. 16, no. 4, pp. 498-504, 2006.
K. D. Irvine and Wieschaus, E., fringe, a Boundary-specific signaling molecule, mediates interactions between dorsal and ventral cells during Drosophila wing development., Cell, vol. 79, no. 4, pp. 595-606, 1994.
C. I. Brannan, Dees, E. C., Ingram, R. S., and Tilghman, S. M., The product of the H19 gene may function as an RNA., Mol Cell Biol, vol. 10, no. 1, pp. 28-36, 1990.
P. M. Ferree, Frydman, H. M., Li, J. M., Cao, J., Wieschaus, E., and Sullivan, W., Wolbachia utilizes host microtubules and Dynein for anterior localization in the Drosophila oocyte., PLoS Pathog, vol. 1, no. 2, p. e14, 2005.
M. Peifer and Wieschaus, E., The product of the Drosophila melanogaster segment polarity gene armadillo is highly conserved in sequence and expression in the housefly Musca domestica., J Mol Evol, vol. 36, no. 3, pp. 224-33, 1993.
C. Rauskolb, Peifer, M., and Wieschaus, E., extradenticle, a regulator of homeotic gene activity, is a homolog of the homeobox-containing human proto-oncogene pbx1., Cell, vol. 74, no. 6, pp. 1101-12, 1993.
D. Hendrix, Levine, M., and Shi, W., miRTRAP, a computational method for the systematic identification of miRNAs from high throughput sequencing data., Genome Biol, vol. 11, no. 4, p. R39, 2010.
S. Hayashi, Rubinfeld, B., Souza, B., Polakis, P., Wieschaus, E., and Levine, A. J., A Drosophila homolog of the tumor suppressor gene adenomatous polyposis coli down-regulates beta-catenin but its zygotic expression is not essential for the regulation of Armadillo., Proc Natl Acad Sci U S A, vol. 94, no. 1, pp. 242-7, 1997.

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