Genotype to Phenotype Mapping and the Fitness Landscape of the E. coli lac Promoter
暂无分享,去创建一个
[1] C. Harley,et al. Analysis of E. coli promoter sequences. , 1987, Nucleic acids research.
[2] Michael J. Berry,et al. Weak pairwise correlations imply strongly correlated network states in a neural population , 2005, Nature.
[3] J. M. Hoekstra,et al. The Strength of Phenotypic Selection in Natural Populations , 2001, The American Naturalist.
[4] Johannes Berg,et al. Adaptive evolution of transcription factor binding sites , 2003, BMC Evolutionary Biology.
[5] W. Bialek,et al. Maximum entropy models for antibody diversity , 2009, Proceedings of the National Academy of Sciences.
[6] Christie S. Chang,et al. The BioGRID interaction database: 2013 update , 2012, Nucleic Acids Res..
[7] Chris Wiggins,et al. ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context , 2004, BMC Bioinformatics.
[8] Sebastian Bonhoeffer,et al. Exploring the Complexity of the HIV-1 Fitness Landscape , 2012, PLoS genetics.
[9] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[10] David W Hall,et al. Fitness epistasis among 6 biosynthetic loci in the budding yeast Saccharomyces cerevisiae. , 2010, The Journal of heredity.
[11] Fangping Mu,et al. Using Sequence-Specific Chemical and Structural Properties of DNA to Predict Transcription Factor Binding Sites , 2010, PLoS Comput. Biol..
[12] M. Lässig,et al. Evolutionary population genetics of promoters: predicting binding sites and functional phylogenies. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[13] Adam A. Margolin,et al. Multivariate dependence and genetic networks inference. , 2010, IET systems biology.
[14] S. Leibler,et al. Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods , 2009, Proceedings of the National Academy of Sciences.
[15] Gary D Bader,et al. Quantitative analysis of fitness and genetic interactions in yeast on a genome scale , 2010, Nature Methods.
[16] Terence Hwa,et al. Combinatorial transcriptional control of the lactose operon of Escherichia coli , 2007, Proceedings of the National Academy of Sciences.
[17] R. Lenski,et al. Negative Epistasis Between Beneficial Mutations in an Evolving Bacterial Population , 2011, Science.
[18] Ben Hui Liu,et al. Statistical Genomics: Linkage, Mapping, and QTL Analysis , 1997 .
[19] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[20] Joachim Krug,et al. Evolutionary Accessibility of Mutational Pathways , 2011, PLoS Comput. Biol..
[21] D. Mosier,et al. Fitness Epistasis and Constraints on Adaptation in a Human Immunodeficiency Virus Type 1 Protein Region , 2010, Genetics.
[22] P. V. von Hippel,et al. Selection of DNA binding sites by regulatory proteins. Statistical-mechanical theory and application to operators and promoters. , 1987, Journal of molecular biology.
[23] M. Lässig,et al. Nonlinear Fitness Landscape of a Molecular Pathway , 2011, PLoS genetics.
[24] Michael J. Berry,et al. Ising models for networks of real neurons , 2006, q-bio/0611072.
[25] Sebastian Bonhoeffer,et al. A systems analysis of mutational effects in HIV-1 protease and reverse transcriptase , 2011, Nature Genetics.
[26] Goldenfeld,et al. Simple lessons from complexity , 1999, Science.
[27] Nigel F. Delaney,et al. Diminishing Returns Epistasis Among Beneficial Mutations Decelerates Adaptation , 2011, Science.
[28] P. Phillips. Epistasis — the essential role of gene interactions in the structure and evolution of genetic systems , 2008, Nature Reviews Genetics.
[29] D. J. Kiviet,et al. Empirical fitness landscapes reveal accessible evolutionary paths , 2007, Nature.
[30] A. Ferré-D’Amaré,et al. Rapid Construction of Empirical RNA Fitness Landscapes , 2010, Science.
[31] Rob Phillips,et al. Operator sequence alters gene expression independently of transcription factor occupancy in bacteria. , 2012, Cell reports.
[32] D. J. Kiviet,et al. Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes. , 2011, Journal of theoretical biology.
[33] Stephen P. Miller,et al. The Biochemical Architecture of an Ancient Adaptive Landscape , 2005, Science.
[34] Kara Dolinski,et al. The BioGRID Interaction Database: 2011 update , 2010, Nucleic Acids Res..
[35] Ifije E. Ohiorhenuan,et al. Sparse coding and high-order correlations in fine-scale cortical networks , 2010, Nature.
[36] Michael A. Saunders,et al. LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.
[37] J. Krug,et al. Quantitative analyses of empirical fitness landscapes , 2012, 1202.4378.
[38] P. V. von Hippel,et al. Selection of DNA binding sites by regulatory proteins. II. The binding specificity of cyclic AMP receptor protein to recognition sites. , 1988, Journal of molecular biology.
[39] S. Zhong,et al. A Genome-Wide Association Study of Upper Aerodigestive Tract Cancers Conducted within the INHANCE Consortium , 2011, PLoS genetics.
[40] Jason H. Moore,et al. A global view of epistasis , 2005, Nature Genetics.
[41] Rachel B. Brem,et al. The landscape of genetic complexity across 5,700 gene expression traits in yeast. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[42] Mariano J. Alvarez,et al. Genome-wide Identification of Post-translational Modulators of Transcription Factor Activity in Human B-Cells , 2009, Nature Biotechnology.
[43] C. Geyer,et al. INFERRING FITNESS LANDSCAPES , 2010, Evolution; international journal of organic evolution.
[44] Kenneth D. Miller,et al. Adaptive filtering enhances information transmission in visual cortex , 2006, Nature.
[45] J. Kinney,et al. Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence , 2010, Proceedings of the National Academy of Sciences.
[46] Hanlee P. Ji,et al. Next-generation DNA sequencing , 2008, Nature Biotechnology.
[47] G. Church,et al. Modular epistasis in yeast metabolism , 2005, Nature Genetics.
[48] John M. Beggs,et al. A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro , 2008, The Journal of Neuroscience.
[49] N. Goldenfeld,et al. Life is Physics: Evolution as a Collective Phenomenon Far From Equilibrium , 2010, 1011.4125.
[50] Ville Mustonen,et al. Energy-dependent fitness: A quantitative model for the evolution of yeast transcription factor binding sites , 2008, Proceedings of the National Academy of Sciences.
[51] Nigel F. Delaney,et al. Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins , 2006, Science.
[52] U. Alon,et al. Optimality and evolutionary tuning of the expression level of a protein , 2005, Nature.
[53] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[54] Gary D Bader,et al. The Genetic Landscape of a Cell , 2010, Science.
[55] Michael E. Wall,et al. Model of Transcriptional Activation by MarA in Escherichia coli , 2009, PLoS Comput. Biol..
[56] Terence Hwa,et al. On the Selection and Evolution of Regulatory DNA Motifs , 2001, Journal of Molecular Evolution.
[57] Anirvan M. Sengupta,et al. A biophysical approach to transcription factor binding site discovery. , 2003, Genome research.
[58] W. Greene,et al. 计量经济分析 = Econometric analysis , 2009 .