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          Institute: MPI für terrestrische Mikrobiologie     Collection: Systems and Synthetic Microbiology     Display Documents



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ID: 701602.0, MPI für terrestrische Mikrobiologie / Systems and Synthetic Microbiology
Predicting Chemical Environments of Bacteria from Receptor Signaling
Authors:Clausznitzer, D.; Micali, G.; Neumann, S.; Sourjik, V.; Endres, R.
Language:English
Date of Publication (YYYY-MM-DD):2014-10
Title of Journal:PLoS Computational Biology
Volume:10
Issue / Number:10
Sequence Number of Article:e1003870
Review Status:Peer-review
Audience:Not Specified
External Publication Status:published
Document Type:Article
Communicated by:N.N.
Affiliations:MPI für terrestrische Mikrobiologie/Department of Systems and Synthetic Microbiology
External Affiliations:[Clausznitzer, Diana; Micali, Gabriele; Endres, Robert G.] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, London, England.; [Clausznitzer, Diana; Micali, Gabriele; Endres, Robert G.] Univ London Imperial Coll Sci Technol & Med, Ctr Integrat Syst Biol & Bioinformat, London, England.; [Clausznitzer, Diana] Heidelberg Univ, BioQuant, Heidelberg, Germany.; [Clausznitzer, Diana] Tech Univ Dresden, Inst Med Informat & Biometry, D-01062 Dresden, Germany.; [Neumann, Silke; Sourjik, Victor] Heidelberg Univ, Ctr Mol Biol, DKFZ ZMBH Alliance, Heidelberg, Germany.; [Sourjik, Victor] Max Planck Inst Terr Microbiol, D-35043 Marburg, Germany.
Identifiers:ISI:000344547900024 [ID No:1]
ISSN:1553-734X [ID No:2]
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