DDLS Bioinformatics Support
The Bioinformatics Long-Term Support at SciLifeLab strives to enable excellent and Data-Driven Life Science, by ensuring that peer-reviewed research projects have access to advanced bioinformatics and data science competence, and by providing knowledge transfer and broad community training.
The Bioinformatics Long-Term Support at SciLifeLab strives to enable excellent and Data-Driven Life Science, by ensuring that peer-reviewed research projects have access to advanced bioinformatics and data science competence, and by providing knowledge transfer and broad community training. The bioinformatics support staff is also strongly promoting and applying Reproducible Research, Open Science and FAIR data handling.
Applications will be reviewed three times a year, with application deadlines typically in January, May and October.
NEW! Cryo-EM/structural biology support
As of 2023, DDLS bioinformatics support also offers computational expertise for structural biology projects involving Cryo-EM and Cryo-ET data, potentially combined with other structural biology and structure prediction methods.
Please use the link above.
Curious about what we work on? Please see our project list.
About bioinformatics support at SciLifeLab
The Bioinformatics Long-term Support at SciLifeLab is operated by the SciLifeLab bioinformatics platform (NBIS) and offers extensive bioinformatics support to a limited set of scientifically outstanding projects. This support has been enabled primarily by a generous grant from Knut and Alice Wallenberg Foundation (KAW) and through the Data-Driven Life Science program. The idea is simple: A senior bioinformatician will work on your project for 500 hours for free! Hands-on involvement by the applying research group is required to ensure efficient knowledge transfer.
The Long-Term Support team has internationally competitive expert knowledge in large-scale molecular data analyses and data science. The staff are experts in genomics, transcriptomics, proteomics, epigenetics, metagenomics, metabolomics, single-cell analyses, multi-omics integration and AI/Machine Learning applications, and our joint experience spans across many types of organisms and include projects from both medical, ecological and evolutionary research across all the four Research Areas of the DDLS program. More information about the all types of bioinformatics project support offered by DDLS and SciLifeLab including application and selection criteria for the Long-term Support is found at the NBIS Bioinformatics Support pages.
In addition, all Bioinformatics support staff are also heavily engaged in community training, for example through the SciLifeLab courses and the DDLS training program. The bioinformatics support staff also aim to take a leading role in implementing Reproducible Research, Open Science and FAIR data, working closely with the NBIS Data Management team and the SciLifeLab Data Platform.
Approved projects 2024
Project title | Applicant | Organization |
---|---|---|
The structure of oligomers of the amyloid-β peptide | Andreas Barth | SU |
Ultrastructure of nature’s high performance fiber and novel bioactive hydrogels | Anna Rising | SLU |
Single cell landscape of immune responses in the upper respiratory tract of patients with influenza virus infection. | Anna Smed Sörensen | KI |
Binding mechanism of the chaperone BRICHOS to α-synuclein fibrils | Axel Abelein | KI |
Profiling of histone modifications in type 2 diabetes | Charlotte Ling | LU |
Understanding abundance patterns in Amazonia | Christine Bacon | GU |
Multiomics analysis of patient-derived pancreatic tumor organoid lines | Daniel Öhlund | UmU |
Genetical Genomics and Causation Analysis using Single Cell data | Dominic Wright | LiU |
Prediction of Prophage-related Injection Machines and Unseen Features | Eva Maria Rebrova | LU |
Folding a small, superstable protein within the ribosome | Gunnar von Heijne | SU |
Structural characterization of the leukotriene biosynthetic complex | Jesper Haeggström | KI |
Experimental evolution of dosage compensation | Jessica Abbott | LU |
Studies of the microbiome in cancer | Joakim Dillner | KI |
Exploring the role of transposable elements in human brain evolution | Johan Jakobsson | LU |
Structural basis for potent henipavirus neutralization | Leo Hanke | KI |
Bacterial gene expression and host response during pneumonia | Magnus Paulsson | LU |
The genes and pathways of pain, analysis of sensory neurons diversity | Marcin Szczot | LiU |
De-novo genome annotation of the ball-rolling dung beetle, Kheper lamarcki | Marie Dacke | LU |
Hypervariable loop length of combinatorial library-derived antibodies | Mats Ohlin | LU |
How do somatic mutations contribute to ageing? | Matthew Webster | UU |
Population genomics of wildlife malaria across a quarter of a century | Olof Hellgren | LU |
Identifying secreted proteins and mechanisms in enteroendocrine cells | Olov Andersson | UU |
Cryo-EM studies of the toxin-associated P47 from P. bifermentans. | Pål Stenmark | SU |
Identify drug binding on the eukaryotic ribosome | Robin Fåhraeus | UmU |
Developing a deep learning approach to fully integrate contextual information from remote sensing for species distribution modeling | Tobias Andermann | UU |
The importance of structural variation in early domestication | Torsten Günther | UU |
Spatial gene enrichment analysis with permutation testing | Tuuli Lappalainen | KTH |
Spatio-temporal regulation of the developing enteric nervous system | Ulrika Marklund | KI |
Photosynthetic regulation under high light stress | Wolfgang P Schröder | UmU |
DDLS Data Science Nodes
In the end of May 2022, the SciLifeLab board appointed four national Data Science Nodes (DSNs) as part of the DDLS initiative. The four nodes, one for each DDLS research area, will coordinate and develop national services for databases and data support as well as bioinformatics support to the Swedish research community.
DDLS Data Science Nodes recruitment
All Data Science Nodes and Data Platform staff will be recruited to the participating organizations, enabling them to interact closely with local research and technology environments
The principles of the DDLS Bioinformatics support is described here.
Contact: bioinformatics_wabi@scilifelab.se