Welcome to #AskSeerScientists! In this third episode, Ryan Benz, Senior Director of Data Science, talks about data analysis methods and tools being used in proteomics, and what he believes the future of data analysis in proteomics will look like.
Don’t miss this informative conversation about the opportunities and bottlenecks data scientists experience when collecting and analyzing proteomics data. As researchers continue to ask deeper biological questions, conduct larger studies, derive vast amounts of data from Mass Spectrometry, and use machine learning to validate findings, Ryan discusses the importance of starting with a solid study design, bringing together a diverse scientific team, and combining information from all the omics - proteomics, genomics, transcriptomics, etc.
Hear Ryan’s perspective on how he believes proteomics is well-positioned to provide transformative biological insights and innovations and needs to be more accessible to the general scientific community!
Hosted by Seer Community Specialist, Shayan Akhtari.
Listen in to #AskSeerScientists today!
=== Key Topics ===
0:00 - Introduction
0:30 - Data analysis in proteomics
1:40 - Challenges & bottlenecks
3:15 - How challenges are being solved
4:30 - Machine learning & statistical practices
6:00 - Collecting and processing proteomics data
7:00 - Future opportunities in data collection & proteomics
8:25 - Conclusion
=== Resources ===
✭ Visit Seer’s #AskSeerScientists Playlist: • #AskSeerScientists | P...
✭ To learn more about Seer's Proteograph™ Product Suite, watch: A new Gateway to the Proteome: • A New Gateway to the P...
=== Stay Connected With Seer ===
✭ To learn how Seer is empowering the scientific community through the power of proteomics, visit: seer.bio
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