Author

Carine Legrand

German Cancer Research CenterORCID 0000-0002-0992-3886Unclaimed ORCID profile · follow to get notified of new preprints

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Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Francesca TuortoiD· 2 shared Frank LykoiD· 2 shared Mark HelmiD· 2 shared Alan G. HendrickiD· 1 shared Alper AkayiD· 1 shared Annika Kötter· 1 shared Ashok PrasadiD· 1 shared David JordaniD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

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10 top collaborators · 31 mutual co-author links

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2 shared papersGenetics

Francesca TuortoORCID

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3 papers

Recent·Most cited

Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets

Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand, Khanh Dao Duc

This paper introduces DeCOr-MDS, a robust MDS method that detects and corrects orthogonal outliers to improve embedding quality in biological datasets.

Frontiers in Bioinformatics · Aug 10, 2023Peer-reviewedBioinformatics

Translational adaptation to heat stress is mediated by 5-methylcytosine RNA modification in Caenorhabditis elegans

Isabela Cunha Navarro, Francesca Tuorto, David Jordan, Carine Legrand, Jonathan L. Price, Fabian Braukmann, Alan G. Hendrick, Alper Akay, Annika Kötter, Mark Helm, Frank Lyko, Eric Alexander Miska

This study shows that m5C RNA modification in C. elegans affects translation efficiency and adaptation to heat stress by modulating leucine and proline decoding.

The EMBO Journal · Dec 7, 2020Peer-reviewedGenetics

Statistically robust methylation calling for whole-transcriptome bisulfite sequencing reveals distinct methylation patterns for mouse RNAs

Carine Legrand, Francesca Tuorto, Mark Hartmann, Reinhard Liebers, Dominik Jacob, Mark Helm, Frank Lyko

The paper develops a computational method to accurately call methylation in whole-transcriptome bisulfite sequencing data, revealing new methylation patterns in mouse RNAs.

Genome Research · Sep 1, 2017Peer-reviewedBioinformatics