References Associated with Literature Topic: Computational analysis Help


Citation
Houser JR, et al.  (2012) Positive roles for negative regulators in the mating response of yeast. Mol Syst Biol 8():586
Hrabe T, et al.  (2012) PyTom: a python-based toolbox for localization of macromolecules in cryo-electron tomograms and subtomogram analysis. J Struct Biol 178(2):177-88
Huang T, et al.  (2012) Deciphering the effects of gene deletion on yeast longevity using network and machine learning approaches. Biochimie 94(4):1017-25
Huang Y and Wu Z  (2012) Game dynamic model for yeast development. Bull Math Biol 74(7):1469-84
Hubler SL and Craciun G  (2012) Mass Distributions of Linear Chain Polymers. J Math Chem 50(6):1458-1483
Hubler SL and Craciun G  (2012) Periodic patterns in distributions of peptide masses. Biosystems 109(2):179-85
Itzhaki Z and Margalit H  (2012) Reduced polymorphism in domains involved in protein-protein interactions. PLoS One 7(4):e34503
Jacklin N, et al.  (2012) Noniterative convex optimization methods for network component analysis. IEEE/ACM Trans Comput Biol Bioinform 9(5):1472-81
James K, et al.  (2012) Is newer better?--evaluating the effects of data curation on integrated analyses in Saccharomyces cerevisiae. Integr Biol (Camb) 4(7):715-27
Jancura P, et al.  (2012) A methodology for detecting the orthology signal in a PPI network at a functional complex level. BMC Bioinformatics 13 Suppl 10():S18
Jay JJ, et al.  (2012) A systematic comparison of genome-scale clustering algorithms. BMC Bioinformatics 13 Suppl 10():S7
Jiang CR, et al.  (2012) Inferring Genetic Interactions via a Data-Driven Second Order Model. Front Genet 3():71
Jiang JQ and McQuay LJ  (2012) Predicting protein function by multi-label correlated semi-supervised learning. IEEE/ACM Trans Comput Biol Bioinform 9(4):1059-69
Jiang JQ and Wu M  (2012) Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study. BMC Bioinformatics 13 Suppl 10():S20
Johnson ME and Edlind TD  (2012) Topological and mutational analysis of Saccharomyces cerevisiae Fks1. Eukaryot Cell 11(7):952-60
Jol SJ, et al.  (2012) System-level insights into yeast metabolism by thermodynamic analysis of elementary flux modes. PLoS Comput Biol 8(3):e1002415
Jones BR, et al.  (2012) ANGES: reconstructing ANcestral GEnomeS maps. Bioinformatics 28(18):2388-90
Joshi A, et al.  (2012) Post-transcriptional regulatory networks play a key role in noise reduction that is conserved from micro-organisms to mammals. FEBS J 279(18):3501-12
Jouhten P, et al.  (2012) Dynamic flux balance analysis of the metabolism of Saccharomyces cerevisiae during the shift from fully respirative or respirofermentative metabolic states to anaerobiosis. FEBS J 279(18):3338-54
Kaganovich M and Snyder MP  (2012) Phosphorylation of yeast transcription factors correlates with the evolution of novel sequence and function. J Proteome Res 11(1):261-8
Kahm M, et al.  (2012) Potassium starvation in yeast: mechanisms of homeostasis revealed by mathematical modeling. PLoS Comput Biol 8(6):e1002548
Kamburov A, et al.  (2012) Cluster-based assessment of protein-protein interaction confidence. BMC Bioinformatics 13(1):262
Karagiannis J  (2012) Decoding the Informational Properties of the RNA Polymerase II Carboxy Terminal Domain. BMC Res Notes 5(1):241
Karschau J, et al.  (2012) Optimal placement of origins for DNA replication. Phys Rev Lett 108(5):058101
Kelly WP and Stumpf MP  (2012) Assessing coverage of protein interaction data using capture-recapture models. Bull Math Biol 74(2):356-74
Kelly WP, et al.  (2012) The degree distribution of networks: statistical model selection. Methods Mol Biol 804():245-62
Kim D, et al.  (2012) The core regulation module of stress-responsive regulatory networks in yeast. Nucleic Acids Res 40(18):8793-802
Kim KH and Sauro HM  (2012) Adjusting phenotypes by noise control. PLoS Comput Biol 8(1):e1002344
Kirik U, et al.  (2012) Multimodel pathway enrichment methods for functional evaluation of expression regulation. J Proteome Res 11(5):2955-67
Kirk P, et al.  (2012) Bayesian correlated clustering to integrate multiple datasets. Bioinformatics 28(24):3290-7