J
Jennifer L. Reed
Researcher at University of Wisconsin-Madison
Publications - 91
Citations - 11668
Jennifer L. Reed is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Metabolic network & Flux balance analysis. The author has an hindex of 43, co-authored 91 publications receiving 10991 citations. Previous affiliations of Jennifer L. Reed include Great Lakes Bioenergy Research Center & University of California, San Diego.
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Journal ArticleDOI
A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.
Adam M. Feist,Christopher S. Henry,Jennifer L. Reed,Markus Krummenacker,Andrew R. Joyce,Peter D. Karp,Linda J. Broadbelt,Vassily Hatzimanikatis,Bernhard O. Palsson +8 more
TL;DR: An updated genome‐scale reconstruction of the metabolic network in Escherichia coli K‐12 MG1655 with increased scope and computational capability is presented, expected to broaden the spectrum of both basic biology and applied systems biology studies of E. coli metabolism.
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An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR)
TL;DR: iJR904 will help to outline the genotype-phenotype relationship for E. coli K-12, as it can account for genomic, transcriptomic, proteomic and fluxomic data simultaneously, and has improved capabilities over iJE660a.
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Genome-scale models of microbial cells: evaluating the consequences of constraints
TL;DR: This work has shown that a constraint-based reconstruction and analysis approach provides a biochemically and genetically consistent framework for the generation of hypotheses and the testing of functions of microbial cells.
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Towards environmental systems biology of Shewanella
James K. Fredrickson,Margaret F. Romine,Alexander S. Beliaev,Jennifer M. Auchtung,Michael E. Driscoll,Timothy S. Gardner,Kenneth H. Nealson,Andrei L. Osterman,Grigoriy E. Pinchuk,Jennifer L. Reed,Dmitry A. Rodionov,Jorge L. M. Rodrigues,Daad A. Saffarini,Margrethe H. Serres,Alfred M. Spormann,Igor B. Zhulin,James M. Tiedje +16 more
TL;DR: Systems-level analysis of the model species Shewanella oneidensis MR-1 and other members of this genus has provided new insights into the signal-transduction proteins, regulators, and metabolic and respiratory subsystems that govern the remarkable versatility of the shewanellae.
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Integrating high-throughput and computational data elucidates bacterial networks
TL;DR: This model is able not only to predict the outcomes of high-throughput growth phenotyping and gene expression experiments, but also to indicate knowledge gaps and identify previously unknown components and interactions in the regulatory and metabolic networks.