(The service catalogue is currently being updated)
The UEF Bioinformatics Center provides infrastructure, data analysis, and consultancy services. The Bioinformatic Center has expertise especially in processing data from different omics methodologies and service coverage includes e.g. experimental design, data analysis, data storage, data visualization and workflow development (see below).
The Bioinformatics Center primarily offers services particularly for the UEF research community but services are also available for other Finnish research institutions and non-academic customers. The project requests are evaluated together with customer based on available expertise, feasibility and available resources.
Reports describing the analysis tools and methods used together with analysis results are provided at the end of each project. The data are analyzed using widely used freely available tools and published or in-house developed workflows. The infrastructure services are provided free of charge, but the data analysis and consultancy services are charged based on project fees and actual working hours. More information on the pricing can be found here.
Contribution of the Bioinformatics Center to scientific publications is to be acknowledged in the each article. See more detailed information regarding citing and acknowledgement from Acknowledge or cite.
Here you can find detailed descriptions of our services. If the service you are interested in is not listed below, we encourage you to contact us for further assistance!
Our genomics services include:
GWAS: genome-wide association analysis
Conducted using an in-house pipeline for genomic data quality control and association analyses
Genomic imputation
Performed using the Finnish Institute for Health and Welfare (THL) Biobank’s SISu reference panel (v.4.2, previously v.3)
Data quality control is conducted using the nf-core/rnaseq pipeline
Differential accessibility, peak calling, functional enrichment/ pathway analyses and visualizations are conducted using an in-house pipeline based on the methodology developed by Reske et al.
Data quality control is conducted using the nf-core/rnaseq pipeline
Differential expression, functional enrichment/ pathway analyses and visualizations are conducted using an in-house pipeline built on the nf-core/differentialabundance pipeline
scRNA-seq (Single-Cell RNA-Sequencing)
Measuring gene expression at the single-cell level
Differential expression, functional enrichment/ pathway analyses and visualizations are conducted using an in-house pipeline
We provide tailored analysis and consulting services, including but not limited to:
Data Parsing
Structuring and cleaning complex datasets for analysis
Data Visualization
Creating publication-ready visualizations
Experimental Design
Designing robust studies to maximize research impact
General Statistical Analyses
Applying/ consulting on proper statistical methods
Longitudinal Modeling
Analyzing data over time to identify trends and patterns
Machine Learning Pipelines
Developing predictive models and automated workflows
Metabolomics
Analyzing metabolic profiles for biological insights
Multiomics/Multimodal Data Analyses
Integrating diverse datasets (e.g., genomics, transcriptomics, proteomics, metabolomics, clinical variables) for comprehensive insights
Survival Analyses
Modeling time-to-event data for clinical and research applications
