Quantitative spatial analysis of bacterial transcriptome and chromosome structural data with GRATIOSA: application to twin-supercoiled domain distribution

Maïwenn Pineau, Raphaël Forquet, Sylvie Reverchon, William Nasser, Florence Hommais, Sam Meyer

Open source

DOI
10.1093/nar/gkaf452
Published
2025-05-22
Container
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Open access
unknown

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BibTeX

@article{allodium:10.1093/nar/gkaf452,
  title = {Quantitative spatial analysis of bacterial transcriptome and chromosome structural data with GRATIOSA: application to twin-supercoiled domain distribution},
  author = {Maïwenn Pineau and Raphaël Forquet and Sylvie Reverchon and William Nasser and Florence Hommais and Sam Meyer},
  year = {2025},
  journal = {Nucleic Acids Research},
  doi = {10.1093/nar/gkaf452},
  url = {https://doi.org/10.1093/nar/gkaf452}
}

RIS

TY  - JOUR
TI  - Quantitative spatial analysis of bacterial transcriptome and chromosome structural data with GRATIOSA: application to twin-supercoiled domain distribution
AU  - Maïwenn Pineau
AU  - Raphaël Forquet
AU  - Sylvie Reverchon
AU  - William Nasser
AU  - Florence Hommais
AU  - Sam Meyer
PY  - 2025
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkaf452
UR  - https://doi.org/10.1093/nar/gkaf452
ER  - 

APA

Pineau, M., Forquet, R., Reverchon, S., Nasser, W., Hommais, F., & Meyer, S. (2025). Quantitative spatial analysis of bacterial transcriptome and chromosome structural data with GRATIOSA: application to twin-supercoiled domain distribution. Nucleic Acids Research. https://doi.org/10.1093/nar/gkaf452

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