SUND DataLab

The SUND DataLab at HeaDS provides data science support for all research groups at SUND and oversees courses and workshops designed to upgrade the data science skills of biomedical researchers in-house at all seniority levels.

Services

Consultations

Our data scientists are here to help you! Check out our areas of expertise:

Omics data analysis (DNA, RNA, proteins, lipids, genomics, etc.)
Need help analyzing omics data? We offer guidance on methods, tools, and workflows for processing and interpreting high-throughput biological datasets.

Experimental design & technical issues pertaining to big biomedical data
Are you planning a study with complex biomedical data? We help you design robust experiments and address technical challenges to ensure reliable downstream analysis.

High performance compute (HPC) onboarding
Don’t know where to start with getting started on an HPC system? We offer support with setup, job scheduling, and efficient use of computational resources for large-scale analyses.

GDPR compliance & FAIR principles
Overwhelmed by the rules and regulations for handling sensitive data? We help you navigate GDPR requirements while implementing FAIR data principles for responsible and reusable research.

Reproducible science, research data management (RDM), git & docker containers
Need to make your research more reproducible? We support you in setting up version control, containerized workflows, and structured RDM practices.

nf-core pipelines
Not sure where to start with nf-core pipelines? We provide guidance on selecting, configuring, and adapting standardized workflows for your analyses.

ML models for biological sequencing data
Need help applying machine learning to sequencing data? We offer guidance on model selection, implementation, and interpretation for biological applications.

Technical support for R and Python programming
We can provide support with coding, debugging, and optimizing data analysis workflows. Check out our courses, too!

Commissioned Research

Would you rather hire the DataLab to perform your analyses for you? We can work with you to perform tailored, end-to-end analyses of complex biological and health datasets, including:

Genomics (population genomics, ancient DNA and metagenomics)
Seeking insights from genomic data? We analyze genetic variation, evolutionary patterns, and microbial communities using advanced computational approaches.

Single-cell and bulk sequencing
DataLab can assist in interpreting sequencing data. We analyze single-cell and bulk datasets to uncover biological signals, cell types, and functional patterns.

Quantitative mass spectrometry (proteins, lipids, glycans, metabolites)
We can perform quantitative analysis and biological interpretation of proteomics, metabolomics, and related datasets.

Spatial transcriptomics
Looking for support in understanding gene expression in spatial context? We analyze spatial transcriptomics data to reveal tissue structure and cellular interactions.

ML models for sequencing data
Are you in need of custom machine learning solutions? We develop and apply models tailored to sequencing data for prediction and pattern discovery.

Data wrangling, manipulation, and clean-up
Feeling overwhelmed at the thought of preparing your data for analysis? We clean, structure, and integrate datasets to ensure high quality and usability.

Custom development
Do you require a tailored computational solution? We develop custom scripts, pipelines, and tools designed specifically for your research needs.

Shiny apps, websites, and tool development
Need interactive tools to explore or share your data? We build Shiny apps and web-based solutions for visualization and communication of results.

SUND DataLab Team