Author

Anja Telzerow

European Molecular Biology LaboratoryORCID 0000-0001-9855-0809Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Anja Telzerow1 paper · University Hospital Münster

Biology Disciplines

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Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Athanasios TypasiD· 2 shared A. R. Gontao BrochadoiD· 1 shared Alexandra KoumoutsiiD· 1 shared Daniel C. SéviniD· 1 shared Érick DenamuriD· 1 shared Juan Antonio Cordero VarelaiD· 1 shared Kiran Raosaheb PatiliD· 1 shared Lajos KalmáriD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

Athanasios TypasORCID

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2 papers

Recent·Most cited

Emergent survival and extinction of species within gut bacterial communities

Naomi Iris van den Berg, Melanie Tramontano, Rui Guan, Sergej Andrejev, Sonja Blasche, Yongkyu Kim, Martina Klünemann, A. R. Gontao Brochado, Lajos Kalmár, Anja Telzerow, Peer Bork, Daniel C. Sévin, Athanasios Typas, Kiran Raosaheb Patil

The paper shows how species in gut bacterial communities can survive or go extinct based on resource availability and metabolic interactions, identifying emergent survival and community-driven extinctions.

bioRxiv · Apr 29, 2024 · PreprintMicrobiology

Phenotype prediction in an Escherichia coli strain panel

Marco Galardini, Alexandra Koumoutsi, Lucía Herrera-Domínguez, Juan Antonio Cordero Varela, Anja Telzerow, Omar Wagih, Morgane Wartel, Olivier Clermont, Érick Denamur, Athanasios Typas, Pedro Beltrão

The paper predicts growth defects in Escherichia coli strains using genetic variant impact models and gene function data, achieving reliable predictions for up to 38% of tested conditions.

eLife · Dec 27, 2017Peer-reviewedSystems Biology