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Julia Ponomarenko CRG Bioinformatics core CRG Bioinformatics Core: Mission & Vision.

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Presentation on theme: "Julia Ponomarenko CRG Bioinformatics core CRG Bioinformatics Core: Mission & Vision."— Presentation transcript:

1 Julia Ponomarenko CRG Bioinformatics core CRG Bioinformatics Core: Mission & Vision

2 San Diego  Barcelona

3 CRG Bioinformatics Core

4 “A database or a wiki-page is always a good idea. - - Create value … and a job for an administrator.” Toni Hermoso

5 “No, we won’t torture your data to get a desired p-value … just a little bit.” Sarah Bonnin

6 “Single-end or Paired-end? - This is The Question.” Luca Cozzuto

7 “Uff, this a really hard script to deal with. – It has no --n option.” Carlos Company

8 Consulting researchers on bioinformatics tools, data analysis, data management, and interpretation of experimental data. Analyzing of high-throughput sequencing data and conducting transcriptomics and downstream analysis. Developing ad hoc databases and web interfaces. Providing bioinformatics training. Implementing and developing new bioinformatics technologies. Collaborating with research groups. Bioinformatics Core’s Mission – To contribute to the CRG’s research excellence by:

9 To be an integral part of services provided by CRG, via tighter integration and exchange knowledge with other core facilities: Core Facilities Club. Joined meetings with users. Current & Future directions

10 To be “keepers” of bioinformatics technical knowledge created at CRG: Catalogue of in-house developed software. Catalogue of established bioinformatics protocols. Bioinformatics Technical Club. Current & Future directions

11 Training focused on: Developing bioinformatics hands-on skills by PhD students and postdocs: “A wet lab biologist without bioinformatics skills will be soon dead.” (Cedric Notredame) Technology, including both wet and dry lab skills. Career development and acquiring transferable skills (CRG wiki-page on Educational resources). Current & Future directions

12 Technology development: Microbiome analysis. iCLIP (protein-RNA interactions) data analysis. OpenArray data analysis (miRNA profiling). Infrastructure for internal data integration. Current & Future directions


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