Antonio Rausell

The Clinical Bioinformatics lab

Antonio Rausell
  • Yufei Luo
  • Barthélémy Caron
  • Akira Cortal

Best publications

RAUSELL A* Innate immune defects in HIV permissive cell lines. Retrovirology 2016. 13:43.


JULIA M, TELENTI A, RAUSELL A. Sincell: an R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq Bioinformatics 2015; 31 (20) 3380-3382


BARTHA I*, RAUSELL A*, McLAREN P, TARDAGUILA M, MOHAMMADI P, FELLAY J, TELENTI A. *Co-first authorship. Heterozygous gene truncation delineates the human haploinsufficient genome. Plos Computational Biology 2015; 11(12) e1004647


RAUSELL A, MOHAMMADI P, McLAREN PJ, BARTHA I, XENARIOS I, FELLAY J, TELENTI A Analysis of stop-gain and frameshift variants in human innate immunity genes. Plos Computational Biology 2014;10 (7), e1003757


RAUSELL A, JUAN D,PAZOS F, VALENCIA A. Protein interactions and ligand binding: from protein subfamilies to functional specificity. Proc Natl Acad Sci USA 2010; 107 (5), 1995-2000


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The Clinical Bioinformatics lab

Dr. Antonio Rausell has an Engineering degree with a focus in Biotechnology and a PhD in Bioinformatics. He did his PhD under the supervision of Prof. Alfonso Valencia at the Spanish National Cancer Research Center (CNIO). From 2012 until February 2016 he worked as a postdoctoral researcher with a double affiliation to the Swiss Institute of Bioinformatics (SIB) with Prof. Ioannis Xenarios, and the University Hospital of Lausanne with Prof. Amalio Telenti. During that time he specialized in the study of the genetic basis of susceptibility to infectious diseases and the heterogeneity in the innate immune response at single-cell level. His findings have contributed to better characterizing two main paradigms arising from large-scale genome and transcriptome sequencing projects: A) the widespread potential to cause disease of rare loss-of-function variants occurring in heterozygosis through haploinsufficiency or negative dominance; and B) the transcriptional basis of the heterogeneity in permissiveness to infection across single cells within individuals.
 
In March 2016, Dr. Rausell joined the Imagine Institute as Director of the new Clinical Bioinformatics lab. His group develops bioinformatics tools with a clinical focus in two main areas of current research in genetic diseases:
 
1) Functional assessment of human genetic variants, by contributing methods to predict disease-causing variants, their integration in Personalized Medicine pipelines and their application to exome/genome sequencing projects currently ongoing at the Imagine Institute and the Necker Hospital.
 
2) Analyses of high-dimensional single-cell data in functional genomics studies addressing intra-individual cell heterogeneity and how it relates to immune disorders and susceptibility to infectious diseases. These analyses are being performed in collaboration with Imagine’s experimental research groups and aim at the identification of markers with a clinical value for diagnosis and treatment.
 
Bioinformatics Methods & Software:
 
Sincell: R/Bioconductor package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data. http://bioconductor.org/packages/sincell
NUTVAR: Null and Truncating variant analysis. Sequence-based functional annotation of truncating variants from genome and exome data. http://nutvar.labtelenti.org
S3det - MCdet: C++ software for the prediction of functional specificity residues and protein subfamilies from multiple sequence alignments using Multiple Correspondence Analysis. Software integrated in TreeDet server http://treedet.bioinfo.cnio.es and distributed within JDet package
JDet: interactive calculation and visualization of function-related conservation patterns in multiple sequence alignments and structures. http://csbg.cnb.csic.es/JDet