tailieunhanh - Báo cáo sinh học: "Challenges in experimental data integration within genome-scale metabolic models"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Challenges in experimental data integration within genome-scale metabolic models. | Bourguignon et al. Algorithms for Molecular Biology 2010 5 20 http content 5 1 20 AMR ALGORITHMS FOR ID MOLECULAR BIOLOGY MEETING REPORT Open Access Challenges in experimental data integration within genome-scale metabolic models Pierre-Yves Bourguignon 1 2 Areejit Samal1 3 Frangois Képès4 Jurgen Jost 1 5 and Olivier C Martin 3 6 Abstract A report of the meeting Challenges in experimental data integration within genome-scale metabolic models Institut Henri Poincaré Paris October 10-11 2009 organized by the CNRS-MPG joint program in Systems Biology. Meeting Report The meeting Challenges in experimental data integration within genome-scale metabolic models was held at the Institut Henri Poincaré Université Pierre et Marie Curie Paris October 10th and 11th 2009 1 . It brought together leading international researchers in the field of genome-scale metabolic modelling and enzyme-kinetics modelling. As suggested by the title the emphasis was on innovative methodologies aimed at taking better advantage of various experimental data types such as measurements of flux and intra-cellular metabolite concentrations tracing of isotopomers mutant growth phenotypes and gene expression datasets . These kinds of data will increasingly empower researchers aiming to characterize metabolism in various biological systems as well as its evolution. In this report we outline the most important advances presented at the meeting. Model reconstruction and improvement While the number of fully sequenced genomes continues to grow at an exponential rate the number of published reconstructions of metabolic models 2 is dramatically lagging behind the sequencing effort. This slow pace of model reconstruction effort was highlighted by both David Fell Oxford Brookes University UK and Costas Maranas Penn State University USA at the meeting. While various automatic procedures have been introduced during this past decade to assist the reconstruction of metabolic models their output still .

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