Strategic Research

The CRG Bioinformatics Unit (BioCore)

 The Bioinformatics Unit provides researchers at CRG-CNAG/PRBB and external organizations with services of consultation, planning NGS and other genomic experiments, NGS data processing, analysis and management, software and database development, bioinformatics training, and access to high-performance computing resources at CRG. The Unit works in synergy with the Genomics Unit and the Biomolecular Screening & Protein Technologies Unit (BMS-PT) to support users using high-throughput sequencing technologies from an experiment planning to delivery of timely and reliable results.​ In addition to services provided for fee, we support fully collaborative grant-funded investigations. This includes preliminary data analysis, planning the grant budget and experiments provided by the CRG Core facility, writing the grant, data analysis and biological inference, custom software development, and co-authored dissemination of the grant results.

Main projects

  • 1.

    Analysis of microbiome diversity in the Spanish children saliva from sequences of 16S rRNA

  • 2.

    MyMpn: a database for the systems biology model organism Mycoplasma pneumonia.

  • 3.

    SuperFly: a comparative database for quantified spatio-temporal gene expression patterns in early dipteran embryos



Bioinformatics expertise:

Group Leader:

Julia Ponomarenko

Bioinformatics services offered

  • Consultation on bioinformatics methods and resources,

    Experimental design, budgeting, sample handling and sequencing, grant proposal development, bioinformatics and statistical data analysis, usage of high-performance computing resources at CRG.

  • Bioinformatics training

    In person and via internal and external courses

  • Software development and software evaluation and benchmarking.

    Bioinformatics scripts; data processing and analysis pipelines; integrative bioinformatics web applications; customized genome browsers.

  • Genomics, Transcriptomics and other

    Variant detection; exome and genome re-sequencing; de novo genome assembly; quality assessment of assemblies; analysis of Hi-C, 5C and other high-throughput data. analysis of RNA-seq, ChIP-Seq, microarrays, OpenArray and other high-throughput data; de novo transcriptome assembly; small RNA expression analysis; functional analysis of differentially expressed genes, including GO term, DNA motif and pathway enrichment analysis.