Computational Systems Biology
Jason McDermott [ et al.] [ editor ]
Computational Systems Biology - New York Humana Press 2009 - xviii, 587 p. : ill. ; 27 cm. - Methods in molecular biology (Clifton, N.J.), v. 541.; Springer protocols. .
Network components: Identification of cis-regulatory elements in gene co-expression networks using A-GLAM / Leonardo Mariño-Ramírez ... [et al.]. Structure-based Ab initio prediction of transcription factor-binding sites / L. Angela Liu and Joel S. Bader. Inferring protein-protein interactions from multiple protein domain combinations / Simon P. Kanaan ... [et al.]. Prediction of protein-protein interactions : a study of the co-evolution model / Itai Sharon, Jason V. Davis, and Golan Yona. Computational reconstruction of protein-protein interaction networks : algorithms and issues / Eric Franzosa, Bolan Linghu, and Yu Xia. Prediction and integration of regulatory and protein-protein interactions / Duangdao Wichadakul, Jason McDermott, and Ram Samudrala. Detecting hierarchical modularity in biological networks / Erzsebet Ravasz -- Network inference: Methods to reconstruct and compare transcriptional regulatory networks / M. Madan Babu, Benjamin Lang, and L. Aravind. Learning global models of transcriptional regulatory networks from data / Aviv Madar and Richard Bonneau. Inferring molecular interactions pathways from eQTL data / Imran Rashid, Jason McDermott, and Ram Samudrala. Methods for the inference of biological pathways and networks / Roger E. Bumgarner and Ka Yee Yeung. Network dynamics: Exploring pathways from gene co-expression to network dynamics / Huai Li, Yu Sun, and Ming Zhan. Network dynamics / Herbert M. Sauro. Kinetic modeling of biological systems / Haluk Resat, Linda Petzold, and Michel F. Pettigrew. Guidance for data collection and computational modelling of regulatory networks / Adam Christopher Palmer, and Keith Edward Shearwin -- Function and evolutionary systems biology: Maximum likelihood method for reconstruction of the evolution of eukaryotic gene structure / Liran Carmel ... [et al.]. Enzyme function prediction with interpretable models / Umar Syed and Golan Yona. Using evolutionary information to find specificity-determining and co-evolving residues / Grigory Kolesov and Leonid A. Mirny. Connecting protein interaction data, mutations, and disease using bioinformatics / Jake Y. Chen, Eunseog Youn, and Sean D. Mooney. Effects of functional bias on supervised learning of a gene network model / Insuk Lee and Edward M. Marcotte -- Computational infrastructure for systems biology: Comparing algorithms for clustering of expression data : how to assess gene clusters / Golan Yona, William Dirks, and Shafquat Rahman. Bioverse API and web application / Michal Guerquin ... [et al.] . Computational representation of biological systems / Zach Frazier ... [et al.]. Biological network inference and analysis using SEBINI and CABIN / Ronald Taylor and Mudita Singhal.
This volume sees expert investigators contribute chapters which bring together biological data and computational/mathematical models of the data to aid researchers create a system that provides both predictive and mechanistic information for a model organism.
9781588299055
Systems biology. Biological systems -Computer simulation. Molecular biology -Data processing. Computational biology.
570.113 COM
Computational Systems Biology - New York Humana Press 2009 - xviii, 587 p. : ill. ; 27 cm. - Methods in molecular biology (Clifton, N.J.), v. 541.; Springer protocols. .
Network components: Identification of cis-regulatory elements in gene co-expression networks using A-GLAM / Leonardo Mariño-Ramírez ... [et al.]. Structure-based Ab initio prediction of transcription factor-binding sites / L. Angela Liu and Joel S. Bader. Inferring protein-protein interactions from multiple protein domain combinations / Simon P. Kanaan ... [et al.]. Prediction of protein-protein interactions : a study of the co-evolution model / Itai Sharon, Jason V. Davis, and Golan Yona. Computational reconstruction of protein-protein interaction networks : algorithms and issues / Eric Franzosa, Bolan Linghu, and Yu Xia. Prediction and integration of regulatory and protein-protein interactions / Duangdao Wichadakul, Jason McDermott, and Ram Samudrala. Detecting hierarchical modularity in biological networks / Erzsebet Ravasz -- Network inference: Methods to reconstruct and compare transcriptional regulatory networks / M. Madan Babu, Benjamin Lang, and L. Aravind. Learning global models of transcriptional regulatory networks from data / Aviv Madar and Richard Bonneau. Inferring molecular interactions pathways from eQTL data / Imran Rashid, Jason McDermott, and Ram Samudrala. Methods for the inference of biological pathways and networks / Roger E. Bumgarner and Ka Yee Yeung. Network dynamics: Exploring pathways from gene co-expression to network dynamics / Huai Li, Yu Sun, and Ming Zhan. Network dynamics / Herbert M. Sauro. Kinetic modeling of biological systems / Haluk Resat, Linda Petzold, and Michel F. Pettigrew. Guidance for data collection and computational modelling of regulatory networks / Adam Christopher Palmer, and Keith Edward Shearwin -- Function and evolutionary systems biology: Maximum likelihood method for reconstruction of the evolution of eukaryotic gene structure / Liran Carmel ... [et al.]. Enzyme function prediction with interpretable models / Umar Syed and Golan Yona. Using evolutionary information to find specificity-determining and co-evolving residues / Grigory Kolesov and Leonid A. Mirny. Connecting protein interaction data, mutations, and disease using bioinformatics / Jake Y. Chen, Eunseog Youn, and Sean D. Mooney. Effects of functional bias on supervised learning of a gene network model / Insuk Lee and Edward M. Marcotte -- Computational infrastructure for systems biology: Comparing algorithms for clustering of expression data : how to assess gene clusters / Golan Yona, William Dirks, and Shafquat Rahman. Bioverse API and web application / Michal Guerquin ... [et al.] . Computational representation of biological systems / Zach Frazier ... [et al.]. Biological network inference and analysis using SEBINI and CABIN / Ronald Taylor and Mudita Singhal.
This volume sees expert investigators contribute chapters which bring together biological data and computational/mathematical models of the data to aid researchers create a system that provides both predictive and mechanistic information for a model organism.
9781588299055
Systems biology. Biological systems -Computer simulation. Molecular biology -Data processing. Computational biology.
570.113 COM