Abracadabra

I currently work as a scientific programmer at the Fred Hutchinson Cancer Research Center in the RGLab. I am a developper and administrator for the ImmuneSpace portal. Additionaly, I handle data analysis and create and maintain R package for various projects.

In 2011, I completed my master degree in Bioinformatics and Biostatistics at Université Paris-Sud. My training ended with a six months internship in the Department of Biochemistry and Biophysics, at Stockholm University under the supervision of Prof. Arne Elofsson.

Software

Following is a list of R packages I am currently maintaining. These packages are available on my GitHub page or the RGLab's GitHub page.

ImmuneSpaceR

An R API to download an manipulate data from ImmuneSpace. The package uses references classes for efficient caching of the data.

Bioconductor, GitHub


PICS

For the analysis of ChIP-Seq data, PICS (Probabilistic Inference for ChIP-Seq) identifies genomic regions bound by transcription factors. The algorithm is implemented in C and makes use of parallel computing.

Bioconductor, GitHub


PING

PING increments on PICS and propose a method for the detection of nucleosome positions for both single-end and paired-end sequencing data. The packages also includes graphic tools for the representation and comparison of results.

Bioconductor, GitHub


pepStat

This package predicts antibody binding sites on peptides using microarray data.

Bioconductor, GitHub


pepDat

pepDat is a data package that contains datasets and sample files used for examples and vignettes in the peptide microarray analysis pipeline.

Bioconductor, GitHub


Pviz

Pviz is an R package for peptide visualisation inspired by and depending on the popular Gviz. It introduces new types of track and extends the existing ones in order to deal with amino-acid based data such as peptide microarray.

Bioconductor, GitHub


LumiR

Currently a work in progress, LumiR provides S4 structures and functions to manipulate and analyse Luminex Bead Array Multiplex Assay data. It is designed to handle raw data from the three main manufacturer: Luminex, MiraiBio and BioRad.

GitHub


PING plot

Summary plot of a PING analysis


Pviz plot

Pviz plot of antibody response frequency calculated by pepStat analysis


LumiR plot

Fitting of 5-Parameter Logistic curves using LumiR

Publications

  • Lucia Vojtech, Sangsoon Woo, Sean Hughes, Claire Levy, Lamar Ballweber, Renan Sauteraud, Johanna Strobl, Katharine Westerberg, Raphael Gottardo, Muneesh Tewari and Florian Hladik. Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functions Nucleic Acids Research doi: 10.1093/nar/gku347 (2014)

  • Greg C. Imholte, Renan Sauteraud, Bette Korber, Robert T. Bailer, Ellen T. Turk, Xiaoying Shen, Georgia D. Tomaras, John R. Mascola, Richard A. Koup, David C. Montefiori, Raphael Gottardo A computational framework for the analysis of peptide microarray antibody binding data with application to HIV vaccine profiling Journal of Immunological Methods, Volume 395, Issues 1–2, 30 September 2013, Pages 1–13

  • Sangsoon Woo, Xuekui Zhang, Renan Sauteraud, Francois Robert, Raphael Gottardo. PING 2.0: an R/Bioconductor package for nucleosome positioning using next-generation sequencing data. Bioinformatics 29(16): 2049-2050 (2013)


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