Scilifelab
SciLifeLab is a national resource of unique technologies and expertise available to life scientists, closely intertwined with our community of researchers in areas such as biomedicine, ecology and evolution. We bring scientists together across traditional boundaries and foster collaborations with industry, health care, public research organizations and international partners.
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Our infrastructure
At SciLifeLab, we provide access to a range of pioneering technologies in molecular biosciences. Together, our units enable the scientific endeavors of users from academia, industry and health care. Dedicated staff scientists can offer you support throughout the experimental process – from study design to data handling. Regardless of your particular field of work, you are welcome to seek support from our infrastructure.
Most of our technologies are agnostic to applications, meaning they can be used to adress questions in a range of life science disciplines, e.g. precision medicine, ecosystem surveillance and evolutionary biology.
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Infrastructure units
Research at SciLifeLab
At SciLifeLab, no research group is an island. We live by collaboration and gather scientists in a broad range of molecular bioscience research, from health to environmental research, in order to facilitate multidisciplinary studies and networking.
A number of research constellations and initiatives makes up our scientific community, such as the more than 200 affiliated academic research groups, the SciLifeLab Fellows program, Data-driven life science, and lately also a national research program targeting Covid-19.
There’s a truly symbiotic relationship existing with our infrastructure. Our units provide access to the latest biomolecular technologies and expertise to bring research projects to the next level, whilst researchers using our services can team up with our dedicated staff scientists to propel technology development and really push the limit of what is possible in life science.
Upcoming events
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Introduction to bioinformatics using NGS data
This intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment.
NBIS/ELIXIR-SE Tools for Reproducible Research
NBIS / ELIXIR-SE course open for PhD students, postdocs, group leaders and core facility staff at all Swedish universities interested in making their computational analysis more reproducible. Important dates and […]
Biostatistics and Machine Learning II
This course expands on common life science data analysis methods, including dimensionality reduction techniques beyond PCA, mixed-effects models for analysis of repeated measures, and survival analysis. We will also dive deeper into machine learning, covering more classification algorithms, ensemble techniques, optimization strategies and PLS methods for single and multi-omics data analysis
SciLifeLab Linköping Seminar Series 2024: NAISS and NSC
Here we present NAISS and NSC: Life science research is producing and handling large amounts of data. Learn how you can use the supercomputers in your research. Program 13:00 NAISS […]