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What We Do
We help you decide if omics fits your program.
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Analytical Capabilities
End-to-end study support, from sample to manuscript.
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Working with NSL
Grant plans, consultations, or a quick phone call.
Common questions from researchers
Omics datasets are complex and costly to generate, making it essential to maximize their value. At Nelson Scientific Labs, we provide customized analysis, meaningful insights, and publication-ready reports tailored to the unique goals of your study.
NSL provides scientific consulting, research software solutions, bioinformatics, statistical analysis, multi-omics data integration, AI/ML-enabled analytics, and translational research support tailored to biomedical and life sciences organizations.
We support projects across radiation biology, oncology, immunology, genomics, transcriptomics, proteomics, metabolomics, biomarker discovery, precision medicine, and other translational research areas.
We partner with academic institutions, biotechnology companies, healthcare organizations, and government agencies on translational research projects spanning radiation biology, cancer research, and multi-omics biomarker discovery.
No. Our research software solutions and analysis services are designed so you can access advanced data science without in-house programming expertise — we handle the technical pipeline and deliver interpretable results.
Both. We support projects across the full lifecycle, from study design and grant proposal development through data interpretation and manuscript preparation.
Yes. Our team has experience supporting projects intended for translational research, clinical validation, and regulatory pathways, including analyses designed to support diagnostic and biomarker development.
Yes. We provide publication-quality visualizations, comprehensive analytical reports, and documentation that can support manuscripts, grant applications, regulatory submissions, and scientific presentations.
Yes. We assist with interpretation of results, figure development, statistical methods sections, and scientific writing to support publication in peer-reviewed journals.
We work with a wide range of biomedical data, including metabolomics, lipidomics, proteomics, transcriptomics, genomics, clinical datasets, imaging-derived features, and other multi-modal research data.
Yes. Every project is tailored to the scientific objectives, study design, and available data. We develop customized analytical workflows rather than relying solely on standardized pipelines.
Yes. We specialize in multi-omics integration, combining data from multiple molecular platforms with clinical and experimental variables to identify biomarkers, biological pathways, and predictive models.
Our analyses are tailored to each project and may include traditional biostatistics, multivariate analysis, machine learning, AI-assisted feature selection, predictive modeling, pathway analysis, and network-based approaches. We select methods based on the scientific question rather than applying a one-size-fits-all approach.
Most projects begin with a consultation to discuss your research objectives, study design, available data, and desired outcomes. We then recommend an analytical strategy and provide a proposal outlining the scope of work, timeline, and deliverables.
Project timelines vary depending on the scope, complexity, and size of the dataset. Smaller analyses may be completed within a few weeks, while larger multi-omics studies typically require several months. We provide an estimated timeline during project planning.
We treat all client data as confidential and implement secure data handling practices. We are happy to execute confidentiality agreements (NDAs) prior to beginning a project.
NSL combines expertise in biomedical research, bioinformatics, biostatistics, AI/ML, and research software development. Rather than simply delivering analyses, we work as scientific collaborators to help clients answer complex biological questions and translate data into meaningful discoveries.
Contact us to schedule an initial consultation. We’ll discuss your research goals, available data, project timeline, and how NSL can help achieve your objectives.