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Elisabetta Mereu

Postdoctoral Fellow

National Centre of Genomic Analysis (CNAG-CRG, Spain)

Biography

I’m a postdoctoral fellow in the National Centre of Genomic Analysis of Spain, working as computational scientist at the Single Cell Genomics Team. My research focus on the analysis of omics data that are from individual cells. Being in a high throughput sequencing center, I’m involved in a wide range of projects in collaboration with local and international research groups. As part of the Human Cell Atlas consortium, I recently worked on a multi-center benchmarking of 13 scRNA-seq protocols, with the aim of define guidelines and standards for cell atlas projects.

Interests

  • Single-cell genomics
  • Computational biology
  • Cancer biology

Education

  • PhD in Statistical Genetics, 2015

    University of Cagliari

  • MSc in Mathematics, 2009

    University of Cagliari

  • BSc in Mathematics, 2007

    University of Cagliari

Experience

 
 
 
 
 

Computational Postdoc

National Centre of Genomic Analysis (CNAG-CRG)

May 2016 – Present Barcelona (Spain)
Responsibilities include:

  • Data analysis of scRNA-seq data for biological discovery.
  • Identification of cell types and states under different treatments, conditions and/or genetic backgrounds.
  • Develop statistical tools for the visualization, analysis and biological interpretation.
  • Systematic evaluation of sequencing technologies used in single cell genomics (scRNA-seq, scATAC-seq).

 
 
 
 
 

Data scientist

Bioretics

Jun 2015 – Sep 2015 Italy
Development of optimized machine learning algorithms (mostly Convolutional Neural Networks and Support Vector Machine) for industrial applications.
 
 
 
 
 

Visiting Scientist

Neurology Department of the University of California San Francisco (UCSF)

Oct 2014 – Apr 2015 San Franscisco (CA)
Integration of genomic screening and genetic regulatory information in the context of Multiple Sclerosis (MS) susceptibility.
 
 
 
 
 

PhD Visiting Student

Institute of Genetics and Biomedical Research (Italian Research Council, IRGB-CNR)

Jan 2013 – May 2015 Monserrato, Cagliari (Italy)
Statistical analysis of genetic data from whole exome sequencing in trios and multigenerational families segregating Type 1 Diabetes and Multiple Sclerosis.

Projects

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Benchmarking scRNA-seq protocols for cell atlas projects.

In this study we systematically compared 13 scRNA-seq protocols in many aspects that are relevant for cell atlas projects.

Dissecting the molecular signatures of invasion in Glioblastoma.

In this study we compared three different genetic models to invastigate about the molecular mechanism of invasion in glioblastomas.

Heterogeneity in colorectal cancer.

In this study we used scRNA-seq to describe a previously unappreciated heterogeneity in colorectal cancer cells.

matchSCore2.

matchSCore2 is a user-friendly R package that allows a fast and robust annotation of cell identity by using a reference dataset.

Recent Publications

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Contact

  • Carrer Baldiri Reixac,4, Barcelona, 08028, Spain
  • Parc Cientific de Barcelona - Torre I - 2 floor
  • DM Me