| Título: | Error Analysis and Propagation in Metabolomics Data Analysis |
| Autores: | Moseley, Hunter N B; University of Louisville |
| Fecha: | 2013-02-19 |
| Publicador: | Computacional and structural biotechnology journal |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
| Tema: | No aplica |
| Descripción: | Error analysis plays a fundamental role in describing the uncertainty in experimental results. It has several fundamental uses in metabolomics including experimental design, quality control of experiments, the selection of appropriate statistical methods, and the determination of uncertainty in results. Furthermore, the importance of error analysis has grown with the increasing number, complexity, and heterogeneity of measurements characteristic of ‘omics research. The increase in data complexity is particularly problematic for metabolomics, which has more heterogeneity than other omics technologies due to the much wider range of molecular entities detected and measured. This review introduces the fundamental concepts of error analysis as they apply to a wide range of metabolomics experimental designs and it discusses current methodologies for determining the propagation of uncertainty in appropriate metabolomics data analysis. These methodologies include analytical derivation and approximation techniques, Monte Carlo error analysis, and error analysis in metabolic inverse problems. Current limitations of each methodology with respect to metabolomics data analysis are also discussed. |
| Idioma: | Inglés |
1 Systems biology and metabolic engineering of Arthrospira cell factories por Klanchui, Amornpan,Vorapreeda, Tayvich,Vongsangnak, Wanwipa,Kannapho, Chiraphan,Cheevadhanarak, Supapon,Meechai, Asawin | 6 The Role of INDY in Metabolic Regulation por Willmes, Diana M; Charité University School of Medicine Berlin,Birkenfeld, Andreas L; Charité University School of Medicine Berlin |
2 Structure-based Methods for Computational Protein Functional Site Prediction por KC, Dukka B; North Carolina A&T State University | 7 The Biochemistry of Vitreoscilla hemoglobin por Stark, Benjamin C.; Illinois Institute of Technology,Dikshit, Kanak L.; Institute of Microbial Technology,Pagilla, Krishna R.; Illinois Institute of Technology |
3 Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering por Verma, Rajni; Jacobs University Bremen,Schwaneberg, Ulrich; RWTH Aachen University,Roccatano, Danilo; Jacobs University Bremen | 8 A method to predict edge strands in beta-sheets from protein sequences por Guilloux, Antonin,Caudron, Bernard,Jestin, Jean-Luc |
4 MD simulation studies to investigate iso-energetic conformational behaviour of modified nucleosides m2G and m22G present in tRNA por Bavi, Rohit S,Sambhare, Susmit B,Sonawane, Kailas D; Structural Bioinformatics Unit,
Department of Biochemistry,
Shivaji University, Kolhapur 416 004,
Maharashtra (M.S.), India. | 9 Conformational Sampling in Template-Free Protein Loop Structure Modeling: An Overview por Li, Yaohang; Old Dominion University |
5 Metabolomics in the identification of biomarkers of dietary intake por O’Gorman, Aoife,Gibbons, Helena,Brennan, Lorraine | 10 Development of microorganisms for cellulose-biofuel consolidated bioprocessings: metabolic engineers’ tricks por Mazzoli, Roberto; University of Torino, Italy. |