Author

E. Rochat

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 3 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1

Frequent Co-Authors

S. Joost· 5 shared E. Vajana· 2 shared O. Selmoni· 2 shared A. Guillaume· 1 shared B.-L. Veronique· 1 shared C. Masembe· 1 shared C. Mukasa· 1 shared E. Fabrizi· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersEvolutionary Biology

S. Joost

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Nested species distribution models of Chlamydiales in tick host Ixodes ricinus in Switzerland

E. Rochat, S. Vuilleumier, S. Aeby, G. Greub, S. Joost

The paper models the spatial distribution of ticks and Chlamydiales bacteria in Switzerland from 2009 to 2018, identifying environmental factors and showing an expansion of suitable habitats.

bioRxiv · May 26, 2020Microbiology

Seascape genomics as a new tool to empower coral reef conservation strategies: an example on north-western Pacific Acropora digitifera.

O. Selmoni, E. Rochat, G. Lecellier, B.-L. Veronique, S. Joost

This paper applies seascape genomics and connectivity analysis to identify adaptive genomic regions in Acropora digitifera, providing a framework for coral reef conservation.

bioRxiv · Dec 9, 2019Evolutionary Biology

Sampling strategy optimization to increase statistical power in landscape genomics: a simulation-based approach

O. Selmoni, E. Vajana, A. Guillaume, E. Rochat, S. Joost

This study optimizes sampling strategies for landscape genomics by simulating datasets under different scenarios to improve statistical power and reduce false discoveries.

bioRxiv · Aug 5, 2019Evolutionary Biology

Combining landscape genomics and ecological modelling to investigate local adaptation of indigenous Ugandan cattle to East Coast fever

E. Vajana, M. Barbato, L. Colli, M. Milanesi, E. Rochat, E. Fabrizi, C. Mukasa, M. Del Corvo, C. Masembe, V. Muwanika, F. Kabi, T. S. Sonstegard, H. J. Huson, R. Negrini, S. Joost, , NextGen Consortium

The paper investigates genetic bases of East Coast fever tolerance in Ugandan cattle using landscape genomics and identifies candidate adaptive loci associated with tick resistance and infection tolerance.

bioRxiv · May 5, 2018Evolutionary Biology

Simple rules for an efficient use of Geographic Information Systems in molecular ecology

K. Leempoel, S. Duruz, E. Rochat, I. Widmer, P. Orozco-terWengel, S. Joost

This paper provides guidance on using open-source GIS tools for molecular ecology, focusing on data management, software, and spatial analysis techniques.

bioRxiv · Mar 2, 2017Ecology