ECC

Enterobacter cloacae complex visualization

Visualization of the average spectra Matrix-Assisted Laser Desorption Ionization-Time Of Flight Mass Spectrometry (MALDI-TOF MS) of the different species of Enterobacter cloacae complex using MALDIquant [1], MALDIrppa [2] and plotly [3] R packages is available here.
- For information concerning this visualization : A. godmer alexandre.godmer@aphp.fr

This work was performed for article (Article in submission) :

Revisiting species identification within the Enterobacter cloacae complex by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

Alexandre Godmer^a,^b , Yahia Benzerara^a, Anne Cécile Normand^d , Nicolas Veziris^a,b, Salah Gallah^a, Catherine Eckert^a,b, Philipe Morand^e, Renaud Piarroux^d,f, Alexandra Aubry^a,b,c,#

^a AP-HP, AP-HP. Sorbonne-Université, Hôpital Saint-Antoine, Département de Bactériologie, Paris, France.

^b Sorbonne Université, Inserm, U1135, Centre d’Immunologie et des Maladies Infectieuses, Paris, France

^c AP-HP, Sorbonne-Université, Hôpital Pitié-Salpêtrière, Laboratoire de Bactériologie-Hygiène, Paris, France

^d AP-HP, Sorbonne-Université, Hôpital Pitié Salpêtrière, Laboratoire de Parasitologie- Mycologie, Paris, France.

^e AP-HP, Centre -Université de Paris, Hôpital Cochin, Paris, France

^f Sorbonne Université, Inserm, UMR-S 1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Paris, France.

^# Address correspondence to Alexandra Aubry, alexandra.aubry@sorbonne-universite.fr

References

[1] Gibb S, Strimmer K. MALDIquant: a versatile R package for the analysis of mass spectrometry data. Bioinformatics. 2012 Sep 1;28(17):2270-1. doi : https://doi.org/10.1093/bioinformatics/bts447 . Epub 2012 Jul 12. PMID: 22796955.

[2] Javier Palarea-Albaladejo, Kevin Mclean, Frank Wright, David G E Smith, MALDIrppa: quality control and robust analysis for mass spectrometry data, Bioinformatics, Volume 34, Issue 3, 01 February 2018, Pages 522 - 523, doi : https://doi.org/10.1093/bioinformatics/btx628

[3] Sievert C (2020). Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC.

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