ESR projects

Research project

Development of methods for the functional analysis of single-cell RNA-seq data (WP3)

Rationale and objectives

Although state-of-art computational tools have been developed for clustering cells and identifying marker genes, biological interpretation of the clustering results remains a considerable challenge. This project aims to develop methods for the functional analysis of single-cell RNA sequencing (scRNA-seq) data.

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Following is a brief description of the aims that we seek to achieve during the project:

1) Develop accurate and precise enrichment approaches that integrate various experiment groups with different cell types during functional analysis.

2) Design methods for single-cell data imputations that are pathway-aware.

3) Throughout the project, we will develop the single-cell module of the OmicsBox (BioBam Bioinformatics S.L.); along with that, based on the needs of other ESRs, we will design automated data analysis pipelines and tools.

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Envisioned secondments

Università degli Studi di Firenze (Italy, 2 months), Josep Carreras Leukaemia Research Institute (Spain, 2 months).

PhD programme

PhD in Bioinformatics, University of Valencia, Spain.