Unlock the Power of Proteomics: Hands-On Training for Scientists
Workshop Overview
This interactive workshop provides a comprehensive introduction to proteomics, covering fundamental concepts and practical bioinformatics tools for analyzing discovery proteomics datasets. Designed to benefit scientists across all career stages, from graduate students to experienced researchers in academia and industry. It offers customized solutions to meet your specific research needs and equips you with the skills to effectively explore and interpret proteomics data.
What You Will Learn:
✅ Introduction to discovery proteomics and data-independent acquisition (DIA)
✅ Basics of proteomics workflows (sample prep, mass spectrometry, data acquisition)
✅ Hands-on training with bioinformatics tools for proteomics data analysis
✅ Data visualization and interpretation techniques
✅ Real-world applications and case studies
What You Will Get:
✅ Two-day live workshop covering proteomics fundamentals and data analysis strategies
✅ Access to workshop slides and session recordings 📹
✅ One FREE 30-minute personalized consultation for follow-up support
✅ Certificate of Completion for academic or professional development 📜
Who Should Attend?
🔬 Life science researchers at any stage, including those in academic or industry labs
🎓 Graduate students and postdocs exploring or working in proteomics
💻 Scientists and analysts aiming to integrate bioinformatics tools into their workflow
Pre-Workshop Requirements
Before attending the workshop, please ensure you have the following resources downloaded and installed:
✅ Zoom (https://zoom.us/download)
✅MSConvert
(https://proteowizard.sourceforge.io)
✅ DIA-NN 1.9.2 software (https://github.com/vdemichev/DiaNN/releases/tag/1.9.2)
✅ Skyline-daily software (https://skyline.ms/project/home/software/skyline/begin.view)
✅ Cytoscape (https://cytoscape.org/)
✅ The Python notebooks will be provided during the workshop and accessed through Google Colab, so installing Python on your computer is unnecessary. A Gmail account is required to access these resources. Please note that only minimal coding knowledge is needed, as the pipelines are user-friendly and do not require prior programming experience.
What people say about the workshop:
Agenda: Saturday and Sunday, August 2-3, 2025
9:00 AM – 12:30 PM
All times are in Central Daylight Time (CDT, GMT-5)
Webinar via Zoom (Link provided upon registration)
| Day | Time | Talk |
|---|---|---|
| Saturday, August 2 | 9:00 – 9:25 AM | Introduction to Proteomics |
| Saturday, August 2 | 9:25 – 9:50 AM | Data Independent Acquisition (DIA) and Discovery Proteomics |
| Saturday, August 2 | 9:50 – 10:00 AM | Q&A |
| Saturday, August 2 | 10:05 – 10:30 AM | Case Study: Cancer Biomarkers |
| Saturday, August 2 | 10:30 – 11:20 AM | Upstream Data Processing in DIA-NN and Skyline |
| Saturday, August 2 | 11:25 AM – 12:15 PM | Downstream Data Processing in Python-based Pipelines, Visualization, Protein–Protein Interaction Networks, and Interpretation of Results [Part 1] |
| Saturday, August 2 | 12:15 – 12:30 PM | Q&A |
| Sunday, August 3 | 9:00 – 10:30 AM | Downstream Data Processing in Python-based Pipelines, Visualization, Protein–Protein Interaction Networks, and Interpretation of Results [Part 2] |
| Sunday, August 3 | 10:30 – 10:50 AM | Q&A |
| Sunday, August 3 | 11:00 – 11:50 AM | Overview, Conclusions, and Other Applications |
| Sunday, August 3 | 11:50 AM – 12:30 PM | Q&A and Final Remarks |
About the instructor
Omar Arias-Gaguancela, M.Sc, PhD
Postdoctoral Fellow; Institute for Systems Biology, Seattle, WA
PhD; Biochemistry and Molecular Biology, University of North Texas, Denton, TX
M.Sc; Plant Pathology, Oklahoma State University, Stillwater, OK
