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10.1002/biot.201000059.abs Mathematical modeling of complex gene expression programs is an emerging tool for understanding disease mechanisms. However, identification of large models sometimes requires training using qualitative, conflicting or even contradictory data sets. One strategy to...
10.1002/biot.201090035.abs Cover illustration: Systems Biology for Biotech Applications is the topic of this BTJ special issue edited by Nathan D. Price and Sang Yup Lee. You will find the latest progress on genome‐scale in silico models of metabolism, building the blueprint of life and...
10.1002/biot.201000178.abs News: Feeding the stem cells GM or not‐GM? How spiders spin their silk Cell test for airborne compounds Imaging stem cell niches Global map of gene expression Biofilm reactor design Watching photosynthesis Fluorine MRI applications Ecotype evolution Omega‐3...
10.1002/biot.200900247.abs The advent of high throughput genome‐scale bioinformatics has led to an exponential increase in available cellular system data. Systems metabolic engineering attempts to use data‐driven approaches – based on the data collected with high throughput technologies –...
10.1002/biot.201000124.abs Genome‐scale metabolic models have been appearing with increasing frequency and have been employed in a wide range of biotechnological applications as well as in biological studies. With the metabolic model as a platform, engineering strategies have become more...
10.1002/biot.201000084.abs Constraint‐based genome‐scale metabolic models are becoming an established tool for using genomic and biochemical information to predict cellular phenotypes. While these models provide quantitative predictions for individual reactions and are readily scalable for...
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