Statistics and Bioinformatics

Omics Data Analysis and Integration


At Biogenity, we offer a vast number of different types of data analyses. We have you covered, whether you are looking for, e.g.,

  • Quality control of your data
  • Tailored bioinformatic annotation approaches
  • Statistics
  • Biological system bioinformatics
  • Biomolecular modeling
  • Diagnostic and prognostic modeling

Our mission is not only to deliver excellent data science, the communication of the science in the data is also vital for us. We are constantly developing and adding new analytical modules to provide new data expressions, bringing forward all biological messages within.

If you’d like to learn more, we are happy to discuss your project and help you get the most out of your metabolomics analysis.


Let’s discuss your project


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Statistical analysis

Data analysis

At Biogenity, we are experienced with the different omics data. We perform the required filtering and cleaning of the data before the statistical data analysis, so you get reliable data and test the distribution of the data allowing for the correct statistical methods to be applied. We are also looking for outliers, allowing these to be removed before or the statistical analysis to be performed with and without.



The best statistical insight

At Biogenity, the statistical test is not just a student t-test or ANOVA. We are testing the data for normal distribution, etc., and taking into account if it is a large or low sample size. We choose the statistical tools that provide you with the most power for your statistical insight into your omics data. Our report includes all relevant information like fold change, coefficient of variation, p-values, and adjusted p-values, giving you different layers of information to evaluate your findings.


Bioinformatics analysis of expression profile

Data analysis

Bioinformatics is becoming increasingly vital for getting the most value from omics-based studies. At Biogenity, bioinformatics is not only a table of which biological processes could be found using an enrichment analysis.

We are looking for enriched pathways, disease pathways, biological processes, molecular functions, and cellular components. The data is presented in a table and mapped in network plots to highlight which molecules have been annotated and how different, e.g., pathways are molecularly connected. We also offer interactive plots, where you can discover the biological networks, bring forward the molecules of interest, and see how there are affecting the pathways of interest.

Biogenity's data analysis extensively provides you with different figures and tools to discover the information in your data, allowing you to succussed in uncovering the relevant biology for your research aim.

Peptide and protein annotation

Data analysis

At Biogenity, we can also process raw files from most proteomics and peptidomics studies. Processing mass spectrometry-derived data can be complex. Different approaches deliver diverse insight, e.g., proteins can be missing in proteome analysis, yet if we look at the peptide level, we may discover peptides that are fragments of the proteins. These may be relevant, and therefore the fragmentation spectra of the peptides need to be validated.

Whether you want us to confirm the finding, search the data using new databases, perform denovo sequencing or validate MS/MS spectra, we got you covered.

Delivery and discussion

Delivery, post-consultation and discussion

At the conclusion of your data analysis analysis, we ensure a seamless transition from discovery to application. We deliver detailed reports and data, followed by a post-delivery consultation to discuss your study's insights and findings.


What to expect during post-consultation

  • Discussion of the data
  • Exdation of the different steps in the data analysis
  • Q&A to the report(s)

Together, we ensure that you have the best prerequisite for your further research. The consultation can also be used to explore the next step, whether you are looking to expand the project with additional omics studies or validate the results.


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