Author

Margaux Haering

Centre National de la Recherche Scientifique

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· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Organism:human· 2 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1

Frequent Co-Authors

Bianca Hermine HabermanniD· 3 shared Fabio MarchianòiD· 2 shared Andrea Del BondioiD· 1 shared Arno MeileriD· 1 shared Frank SchnorreriD· 1 shared Hélène M. PuccioiD· 1 shared Manuela Weitkunat· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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3 shared papersBioinformatics

Bianca Hermine HabermannORCID

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3 papers

Recent·Most cited

mitoXplorer 3.0, a web tool for exploring mitochondrial dynamics in single-cell RNA-seq data.

Margaux Haering, Andrea Del Bondio, Hélène M. Puccio, Bianca Hermine Habermann

mitoXplorer 3.0 provides new tools for analyzing mitochondrial variability in single-cell RNA-seq data, with applications in understanding mitochondrial dysfunction in disease.

Journal of Molecular Biology · Feb 12, 2025Peer-reviewedBioinformatics

The mitoXplorer 2.0 update: integrating and interpreting mitochondrial expression dynamics within a cellular context

Fabio Marchianò, Margaux Haering, Bianca Hermine Habermann

The paper updates the mitoXplorer platform to integrate mitochondrial expression dynamics with cellular context, introducing new functions for network analysis and transcription factor enrichment.

Nucleic Acids Research · Apr 15, 2022Peer-reviewedBioinformatics

AnnoMiner: a new web-tool to integrate epigenetics, transcription factor occupancy, and transcriptomics data to predict transcriptional regulators

Arno Meiler, Fabio Marchianò, Margaux Haering, Manuela Weitkunat, Frank Schnorrer, Bianca Hermine Habermann

AnnoMiner integrates epigenetic, transcription factor, and transcriptomics data to predict transcriptional regulators without requiring chromatin data from the same process.

Scientific Reports · Jul 29, 2021Peer-reviewedBioinformatics