Author

Anne Langlois de Septenville

Sorbonne Université

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· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:clustering· 3 Research Focus:benchmarking· 2 Assay:CITE-seq· 2 Research Focus:software / tool· 2 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Frédéric DaviiD· 4 shared Juliana BernardesiD· 4 shared Nika AbdollahiiD· 4 shared Lucile Jeusset· 2 shared Hugues RipocheiD· 1 shared Marine ArmandiD· 1 shared Thibaud Verny· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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4 shared papersBioinformatics

Frédéric DaviORCID

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4 papers

Recent·Most cited

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedMar 29, 2023

ViCloD, an interactive web tool for visualizing B cell repertoires and analyzing intra-clonal diversities: application to human B-cell tumors

Lucile Jeusset, Nika Abdollahi, Thibaud Verny…·Juliana Bernardes

5 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 27, 2022

Reconstructing the evolutionary history of a B cell lineage with minimum spanning tree and genotype abundances

Nika Abdollahi, Lucile Jeusset, Anne Langlois de Septenville…·Juliana Bernardes

ClonalTree reconstructs B cell lineage trees using genotype abundances and minimum spanning trees, outperforming existing methods in speed and accuracy for high-throughput BCR sequencing data.

1 citation

CITE-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 1, 2021

A multi-objective based clustering for identifying clonally-related sequences from high-throughput B cell repertoire data

Nika Abdollahi, Anne Langlois de Septenville, Hugues Ripoche…·Juliana Bernardes

This paper introduces a multi-objective clustering method for identifying clonally-related sequences in B cell repertoire data, showing improved accuracy and efficiency compared to existing tools.

1 citation

long-read sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 30, 2020

Automatic generation of ground truth data for the evaluation of clonal grouping methods in B-cell populations

Nika Abdollahi, Anne Langlois de Septenville, Frédéric Davi, Juliana Bernardes

The paper introduces a method to generate high-precision ground truth data for evaluating clonal grouping methods in B-cell populations using real repertoires and V(D)J annotations.

2 citations

DNA methylationstatistical model

𝕏 PostBluesky