Author

Annekathrin Ludt

University Medical Center of the Johannes Gutenberg University Mainz

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fédérico MariniiD· 2 shared Christoph DieterichiD· 1 shared Enio GjergaiD· 1 shared Etienne BoileauiD· 1 shared Jan Linke· 1 shared Konstantin StrauchiD· 1 shared Thiago Britto‐BorgesiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Fédérico MariniORCID

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2 papers

Recent·Most cited

Magnetique: An interactive web application to explore transcriptome signatures of heart failure

Thiago Britto‐Borges, Annekathrin Ludt, Etienne Boileau, Enio Gjerga, Fédérico Marini, Christoph Dieterich

Magnetique provides an interactive web tool to explore transcriptome signatures of heart failure using RNA-seq data from cardiomyopathy patients and donors.

Journal of Translational Medicine · Nov 7, 2022Peer-reviewedBioinformatics

GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

Fédérico Marini, Annekathrin Ludt, Jan Linke, Konstantin Strauch

GeneTonic provides an R/Bioconductor package to streamline RNA-seq data interpretation by integrating differential expression and functional enrichment analyses into interactive visualizations and reports.

BMC Bioinformatics · Dec 1, 2021Peer-reviewedBioinformatics