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The National Bioinformatics Infrastructure Sweden (NBIS) www

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Presentation on theme: "The National Bioinformatics Infrastructure Sweden (NBIS) www"— Presentation transcript:

1 The National Bioinformatics Infrastructure Sweden (NBIS) www
The National Bioinformatics Infrastructure Sweden (NBIS) Björn Nystedt, Pär Engström Joint Heads of Bioinformatics Long-term Support

2 SciLifeLab SciLifeLab National service Local scientific center
The Swiss army knife for Swedish Life Science researchers Local scientific center Director: Olli Kallioniemi Co-director: Lena Claesson-Welsh Vision: To be an internationally leading center that develops, uses and provides access to advanced technologies for molecular biosciences with focus on health and environment. 2010: Strategic research initiative 2013: National resource 2015: New management/chairman

3 SciLifeLab national service
SciLifeLab platforms SciLifeLab national service VR National Genomics Infrastructure Clinical Diagnostics National Bioinformatics Infrastructure Sweden SNIC Functional Genomics Bengt Persson Computer resources free for Swedish researchers Merge of BILS, WABI and more; complete National, distributed

4 Bioinformatics know-how as infrastructure
“The scientific community has failed to craft attractive career paths for those who do the analyses it increasingly requires. Institutions and funding bodies must carve out a viable place for bioinformaticians who focus on collaborations, and reward them for their abilities to navigate the myriad demands of multidisciplinary projects.” Health and aging ENVIRONMENT and ECology Evolution and origin of life

5 NBIS Systems biology 5/y Training 30/y Long-term Support
Novel/Customized Long time per project Bioimage informatics Systems biology 5/y Training 30/y Long-term Support Systems development Short-term Support 300/y Compute and storage 800/y Routine/Standardized Short time per project Data management

6 Support, tools and training

7 Custom-tailored support
New contact routes later 2016, stay tuned at Study design consultation (free) + drop-in sessions every all 6 sites Short- and Medium-term support (8h free, then user fee 800 kr/h) Long-term support (500h, free, scientific evaluation) Systems biology (start-up phase) (Recent increase in user fees, due to general infrastructure cut-down by VR)

8 Short-term support Proteomics Systems biology 400 projects/year!
Genomics Biostatistics Metabolomics Support decisions every 2nd week

9 Tailored solutions – high impact
Bioinformatics Long-term Support Wallenberg Advanced Bioinformatics Infrastructure Tailored solutions – high impact 70% of funding Applied bioinformatics: 500h free support/project Variant analyses Transcriptomics Single-cell analyses Epigenetics Metagenomics Metabolomics Proteomics Directors Siv Andersson Gunnar von Heijne Managers Sweden’s strongest unit for analyses of large-scale genomic data (24 FTE) National committee reviews and selects projects based on scientific quality Björn Nystedt Pär Engström Basic science!

10 The team 2013 2014 2015 RNA Cancer Protein evolution DNA Programmer
Lund Johan Reimegård Mikael Huss Estelle P. Wéra Jakub O. Westholm Stefania Giacomello Markus Ringnér Protein evolution DNA Linköping Lund Umeå Diana Ekman Páll Ólason Anna Johansson Alvaro M. Barrio Programmer Malin Larsson Nikolay Oskolkov SystBio/ Integrative Allison Churcher Proteomics Multivariate Everything scRNA Göteborg Göteborg Sanela Kjellqvist Per Unneberg Åsa Björklund Marcel Martin Sergiu Netotea Leif Väremo Bengt Sennblad Mixed competence team Typically both technical and biological skills Average 7 years post PhD 10 Göteborg Göteborg 1 physical + 1 video meeting per month Rasmus Ågren Lena Hansson

11 Application procedure
Open to all research groups in Sweden Applications 3 times every year (accept 5-10 projects per call) Requires hands-on involvement from the research group 500h effective time over ~6-18 calendar months Co-authors according to normal contribution criteria Staff 100% support (not driving own research) National committee

12 Custom-tailored support “Routinely unique” Difficult to forsee/automate
Human health and disease (13) 5 Variant analyses (cohort, family, cell fate) 3 Epigenetics 2 RNA, method 1 Differential gene expression 1 Lipidomics 1 Integrative (Medical) animal models (10) 4 single-cell RNA 2 Differential gene expression 2 Targeted 1 ChipSeq 1 miRNA Ecology/Evolution (8) 3 Population genomics 2 De novo genome assembly/analyses 2 Phylogenomics/genome evolution 1 Epigenetics

13 Happy users, high demand

14 Distribution across universities

15 Your Long-term Support
Effective time 450h + 50h follow-up - excluding: vacations, sick leaves, internal admin - including: within-project admin, 2 weeks follow-up time reading-up/testing on project-specific topics data submission facilitating easy reproduction of results - status and hours reported to PI each calendar month Aim to exit after ~12 calendar months - can be negotiated based on needs Involved people might change over time - The Long-term Support management has the last word on who works in the project We may exit before all hours are used, if all project aims have been reached it turns out that the project is infeasible (e.g. poor data quality) the research group is not sufficiently involved

16 IP Data always owned by the PI - normally never leaves the Uppmax project folder The Long-term Support staff appear on scientific papers according to normal contribution criteria Tools developed by the bioinformatics platform are open source by default, and can be immediately used in other projects - exceptions needs to be agreed on

17 SciLifeLab Bioinformatics Courses
Date Participants Evaluation score (max 5) Introduction to bioinformatics using NGS data April 2013 24 4.6 Nov 2013 4.3 March 2014 4.5 April 2014 3.8 Sept 2014 4.1 Nov 2014 Perl programming for biological sciences May 2013 20 4.4 Oct 2013 May 2014 4.7 Oct 2014 Genome Assembly Human Genetic Variation June 2013 15 Sept 2013 3.9 RNAseq 4.2 RNAseq and proteomics June 2014 Metagenomics TOTAL 394

18 The Swedish Bioinformatics Advisory Program
PhD students get a senior bioinformatician as a personal advisor during 2 years of their PhD. Monthly project meetings + two grand meetings per year to aid networking and knowledge transfer. Currently ~30 PhD students enrolled


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