Flow Cytometry

Mark Dunning
4 October 2024 00:00

Support for Flow Cytometry

The Sheffield Bioinformatics Core offers more than just omics analysis! We specialize in applying best-practice, reproducible software to analyze data from diverse technologies, including flow cytometry.

By leveraging the power of R and the freely available Bioconductor project, we can help you unlock valuable insights from your experiments. R offers a wealth of benefits:

  • Reusable Code: Write code once and apply it to future projects, saving time and ensuring consistency.
  • Reproducible Results: Transparent workflows guarantee the integrity and reliability of your findings.
  • Powerful Features: Generate stunning visualizations, conduct advanced statistical analysis, and explore cutting-edge dimension reduction techniques.
  • Free and Open Source: Access a vast library of software packages and a supportive user community – no licensing fees or software limitations.

Our team is well-versed in R and Bioconductor, offering a comprehensive suite of flow cytometry analysis services. We can handle standard tasks like quality control, gating, and cell counting, as well as delve into advanced analysis techniques to answer your specific research questions.

Contact us today to discuss your flow cytometry data analysis needs and explore how we can empower your research!

Blog Home

For queries relating to collaborating with the Bioinformatics Core team on projects: bioinformatics-core@sheffield.ac.uk

Join our mailing list so as to be notified when we advertise talks and workshops by subscribing to this Google Group. You can also connect with us on Linkedin.

Requests for a Bioinformatics support clinic can be made via the Research Software Engineering (RSE) code clinic system. This is monitored by Bioinformatics Core staff, so we will ensure the appropriate expertise (which may involve individuals from multiple teams) will be available to help you

Queries regarding sequencing and library preparation provision at The University of Sheffield should be directed to the Multi-omics facility in SITraN or the Genomics Laboratory in Biosciences.