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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, Head 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 provides state-of-the art services
NGI (One of the largest sequencing centers in Europe) X-Ten, HiSeq, MiSeq, PacBio, IonTorrent, MinIon, Optical mapping Next Generation Diagnostics Sequencing and other omics for new clinical applications Bioinformatics ~65 FTE for custom-tailored project support, methods and systems development, data publishing, training Single-cell omics Single-cell transcriptomics, genomics, and proteomics

4 SciLifeLab national service
SciLifeLab platforms SciLifeLab national service VR National Genomics Infrastructure Next Generation Diagnostics National Bioinformatics Infrastructure Sweden SNIC Single-cell omics Bengt Persson Computer resources free for Swedish researchers Ongoing merge of BILS, WABI and more; complete National, distributed

5 Support, tools and training

6 Support

7 Custom-tailored support
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 Bioinformatics support
Proteomics Systems biology 300 projects/year Genomics ~25 FTE Biostatistics Metabolomics Support decisions every 2nd week 800 SEK/h

9 Genome assembly and annotation
Henrik Lantz projects per year Highly specialized staff and robust pipelines Tight user interaction Numerous manual and semi-manual QC steps Supports ENA submission Editable user interface Cost effective with high quality!

10 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 Basic science! Björn Nystedt Pär Engström

11 The team 2013 2014/15 2015/16 RNA Cancer Protein evolution DNA
Lund Johan Reimegård Pär Engström 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 11 Göteborg Göteborg 1 physical + 1 video meeting per month Rasmus Ågren Lena Hansson

12 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 Next deadline Oct 28!

13 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

14 Single-cell Already ~20% of our active projects
Newt limb regeneration (A Simón, KI) Epigenetic states in oligodendrocytes (Castelo-Branco, KI) Development of dopamine neurons (Perlmann, KI) Neural stem cell characteristics (Muhr, KI) Development of lung epithelium (Samakovlis, SU) Lineage tracing of single cells by WGS (Frisén, KI) In vitro differentiation of human iPS cells from human neurological disorders (Dahl, UU) Fibroblast signatures in breast cancer (Pietras, LU)

15 BigData/Integrative omics
4 FTE, joint effort by Long-term Support and Systems Biology Combine data from SciLifeLab platforms Building tools and resources for handling very large and/or complex biological data sets Typically performed in the context of longer support projects State-of-the-art analytical methods for integrating multi-modal biological data sets, eg - Machine learning/deep learning - Graph-based models - Genome-scale metabolic models Support track for integrative projects First call Feb 2016; First few projects initiated Involves extensive integration of data

16 Happy users, high demand

17 Tools

18 Tools and infrastructure
Compute and storage of sensitive data Local EGA ePouta integration pilot microMosler Pouta Blueprints web-servers with EGI cloud vo.NBIS.se WGS tools and resources SweGen 1000 genomes WGS somatic variant calling WF WGS structural variation WF Software maintenance MrBayes Structure prediction web services Assembly and annotation Falcon on Milou ENA submission help Other tools and resources Human Metabolic Atlas (HMA) Haloplex variant calling pipeline WhatsHap: Genomic phasing IgDiscover: Immunorepertoire Open prioritization and background descriptions Tools and development projects needs to be much more visible! Work in progress…

19 SweGen: 1000 Swedish genomes
SweGen Variant Frequency Database 950 twin registry + 50 Northern Sweden Deep coverage WGS (30X) ExAC browser interface Data Beacon Full SNP frequency table download 1st release yesterday! Funding: SciLifeLab Sequencing: NGI Variant calling: NGI QC: NBIS Data access interface: NBIS

20 Training

21 National PhD level bioinformatics courses at SciLifeLab
Joint efforts by SciLifeLab staff and researchers (+ more) Introduction to omics data analysis 4 x Introduction to Bioinformatics using NGS data, 5 days (Manfred Grabherr) 1 x Omics data analysis, 10 days (Erik Fredlund, Lukas Orre) Advanced topical courses 2 x RNAseq, 3 days (Johan Reimegård) 1 x Genome assembly, 2 days (Henrik Lantz) 1 x Genome annotation, 2 days (Henrik Lantz) 1 x Metagenomics, 2 days (Anders Andersson, Thijs Ettema) 1 x Proteomics, 4 days (Fredrik Levander) Programming 2 x Python, 2 days (Frédéric Haziza, Sergiu Netotea) 2 x Perl, 5 days (Matt Webster) 1 x R programming Foundations for Life Scientists, 5 days (Marcin Kierczak) 1 x Unix/Linux Tutorial for beginners, 3 days (Mihaela Martis) Suggested additions Human WGS, genetic variation Human WGS, cancer >200 students/year Very positive course evaluations Teacher-dense Good for networking

22 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. New call out soon!

23 Looking ahead

24 The future is bright  ..and integrated! ..and unbalanced! Volume
Integration Systems/processes Data scientists Mikael Huss BigData/Integrative bioinformatics Data

25 We’re here for you! www.nbis.se


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