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Home Search Quick Search Advanced Fulltext Browse Collections Persons My eDoc Session History Login Name: Password: Documentation Help Support Wiki Direct access to document ID:	Institute: MPI für terrestrische Mikrobiologie     Collection: Systems and Synthetic Microbiology     Display Documents   history 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] The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.