Please note that eDoc will be permanently shut down in the first quarter of 2021!      Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

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.