Author

Adithi R. Varadarajan

SIB Swiss Institute of BioinformaticsORCID 0000-0002-9581-8598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 3 Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Approach:experimental assay· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Christian H. AhrensiD· 3 shared Bernd WollscheidiD· 2 shared Sandra GötzeiD· 2 shared Andrea PatrignaniiD· 1 shared Christoph DehioiD· 1 shared Damianos P. MelidisiD· 1 shared Frank SchreiberiD· 1 shared Franziska Pietsch· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersSystems Biology

Christian H. AhrensORCID

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3 papers

Recent·Most cited

An integrated model system to gain mechanistic insights into biofilm formation and antimicrobial resistance development in Pseudomonas aeruginosa MPAO1

Adithi R. Varadarajan, Raymond N. Allan, Jules D. P. Valentin, Olga E. Castañeda Ocampo, Vincent Somerville, Franziska Pietsch, Matthias T. Buhmann, Jonathan J. West, Paul J. S. Skipp, Henny C. van der Mei, Qun Ren, Frank Schreiber, Jeremy Stephen Webb, Christian H. Ahrens

The paper validates a model system to identify genes involved in biofilm formation and antibiotic resistance in Pseudomonas aeruginosa MPAO1 using genomics and experimental approaches.

npj Biofilms and Microbiomes · Oct 30, 2020Peer-reviewedSystems Biology

A proteogenomic resource enabling integrated analysis of Listeria genotype-proteotype-phenotype relationships

Adithi R. Varadarajan, Sandra Götze, Maria P. Pavlou, Virginie Grosboillot, Yang Shen, Martin J. Loessner, Christian H. Ahrens, Bernd Wollscheid

The paper develops a proteogenomic resource for Listeria monocytogenes to analyze genotype-proteotype-phenotype relationships using proteotyping and genomic databases.

Journal of Proteome Research · Feb 24, 2020Peer-reviewedSystems Biology

An integrative strategy to identify the entire protein coding potential of prokaryotic genomes by proteogenomics

Ulrich Omasits, Adithi R. Varadarajan, Michael Schmid, Sandra Götze, Damianos P. Melidis, Marc Bourqui, Olga Nikolayeva, Maxime Québatte, Andrea Patrignani, Christoph Dehio, Juerg Ernst Frey, Mark D. Robinson, Bernd Wollscheid, Christian H. Ahrens

The paper develops an integrative proteogenomics strategy to improve prokaryotic genome annotation by combining multiple resources and experimental data, identifying novel ORFs and correcting errors.

Genome Research · Dec 1, 2017Peer-reviewedGenomics