Michael E. Driscoll
Boston University
5 Papers
9 Citations
Michael E. Driscoll is an academic researcher from Boston University. The author has contributed to research in topics: Shewanella & Shewanella oneidensis. The author has an hindex of 4, co-authored 5 publications.
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Papers
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.
Identification of Diverse Carbon Utilization Pathways in Shewanella oneidensis MR-1 via Expression Profiling
Michael E. Driscoll,Margie F. Romine,Frank Juhn,Margrethe H. Serres,Lee Anne Mccue,Alexander S. Beliaev,James K. Fredrickson,Timothy S. Gardner +7 more
TL;DR: Results indicate that S. oneidensis possesses a broader capacity for carbon utilization than previously reported, a view with implications for optimizing its role in microbial fuel cell and bioremediative applications.
29
Identification and control of gene networks in living organisms via supervised and unsupervised learning
TL;DR: This review discusses several methods for the identification of gene networks, which are broadly as networks of interacting genes, proteins, and metabolites.
9
Reverse engineering gene regulatory networks
Michael Thompson,Michael E. Driscoll,Timothy S. Gardner,James J. Collins +3 more
- 15 Apr 2005
TL;DR: The approaches discussed aim to gain insights into the logic of combinatorial regulation occurring at a gene promoter, the activity of regulatory factors distinct from their abundance, the identification of key regulators in a gene network, and the prediction of drug compound mode of action.
5
Many Microbe Microarrays Database: Uniformly Normalized Affymetrix Compendia with Structured Experimental Metadata
Jeremiah J. Faith,Michael E. Driscoll,Vincent A. Fusaro,Elissa J. Cosgrove,Boris Hayete,Frank Juhn,Stephen J. Schneider,Timothy S. Gardner +7 more
TL;DR: The experimental condition metadata in M3D is human curated with each chemical and growth attribute stored as a structured and computable set of experimental features with consistent naming conventions and units.