Author

Jacques Nicolas

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· 1 Synthetic Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Anne SiegeliD· 1 shared Arnaud BelcouriD· 1 shared Camille MarchetiD· 1 shared Camille TrottieriD· 1 shared Catherine BoyeniD· 1 shared Catherine LeblanciD· 1 shared Cédric LerouxiD· 1 shared Charlotte Marteau· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Anne SiegelORCID

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3 papers

Recent·Most cited

In vitro construction and long read sequencing analysis of a 24 kb long artificial DNA sequence encoding the Universal Declaration of the Rights of Man and of the Citizen.

Julien Leblanc, Olivier Boullé, Émeline Roux, Jacques Nicolas, Dominique D. Lavenier, Yann Audic

The paper describes an in vitro method to construct a 24 kb long artificial DNA sequence encoding the Universal Declaration of the Rights of Man and of the Citizen using Golden Gate assembly and long-read sequencing analysis.

bioRxiv · Jun 26, 2023 · PreprintSynthetic Biology

Inferring biochemical reactions and metabolite structures to cope with metabolic pathway drift

Arnaud Belcour, Jean Girard, Méziane Aïte, Ludovic Delage, Camille Trottier, Charlotte Marteau, Cédric Leroux, Simon M. Dittami, Pierre Sauleau, Erwan Corre, Jacques Nicolas, Catherine Boyen, Catherine Leblanc, Jonas Collén, Anne Siegel, Gabriel V. Markov

The paper infers new biochemical reactions and metabolite structures in Chondrus crispus, revealing metabolic pathway drift despite conserved phenotypes.

iScience · Jan 17, 2020Peer-reviewedSystems Biology

Clustering de Novo by Gene of Long Reads from Transcriptomics Data

Camille Marchet, Lolita Lecompte, Corinne Da Silva, Corinne Cruaud, Jean‐Marc Aury, Jacques Nicolas, Pierre Peterlongo

This paper introduces a de novo clustering algorithm for long-read transcriptomics data, showing improved performance for Oxford Nanopore reads and non-model species.

Nucleic Acids Research · Sep 10, 2018Peer-reviewedBioinformatics