Bioinformatics Unit

HEAD OF UNIT

OVERVIEW

The Bioinformatics Unit provides researchers at CRG/PRBB and external organizations with services of consultation, planning NGS experiments, data processing, analysis and management, software and database development, bioinformatics training, and access to high-performance computing resources. The team contributes to research projects by providing support and expertise in programming and advanced data analysis, focusing primarily on high-throughput genomics and transcriptomics technologies including microarrays, genotyping, and next-generation sequencing.

UNIQUE CAPABILITIES

The Bioinformatics Unit works in synergy with the Genomics Unit to support users through all steps of a service, from the planning to the delivery of timely and reliable results.

EQUIPMENT

APPLICATIONS AND SERVICES

• Consultancy on bioinformatics methods and resources
• NGS (WES and WGS) experiment planning and budgeting
• Bioinformatics training
• Software development
  • Development of bioinformatics scripts and more advanced pipelines to automate sequence analyses and genome annotation tasks;
  • Implementation of integrative bioinformatics web applications;
  • Implementation of customized Genome browsers.
• Data Processing and Analysis
  • Processing and analysis of metagenomics data;
  • Processing of high-throughput genomics and transcriptomics data;
  • Analysis of RNA-seq, ChIP-Seq, 5C, OpenArray and other high-throughput data;
  • Identification of differentially expressed genes;
  • Genome variation detection and comparative analysis;
  • Genome re-sequencing;
  • De novo genome assembly;
  • Downstream gene analysis, including GO term, motif and pathway enrichment analysis.
  • Genome functional annotation, including motif, regulatory elements and promoter analysis;
  • Protein functional annotation through multiple sequence alignments, orthology assignments, protein structure comparisons, fold recognition, and phylogenetic analysis.
  • Metagenomics (microbial and fungi communities)
• Data management
  • Construction of ad-hoc databases and web interfaces to allow systematic storage, management, analysis, and search of biologically relevant information;
  • Development of versatile ticketing and project/lab management systems based on the semantic media wiki technology.