AIC Lab Seminar: "Implementing a Label-Free Quantification Method in the crux-toolkit"
Doctoral Student: School of Data Analysis and Artificial Intelligence
On Tuesday, November 28 at 16:00, the Laboratory on AI for Computational Biology will host an online seminar on the topic “Implementing a Label-Free Quantification Method in the crux-toolkit.”
The speaker will be Frank Lawrence Nii Adoquaye Acquaye, graduate student in the Department of Data Analytics and Artificial Intelligence, Faculty of Computer Science.
Annotation:
When doing bottom-up proteomics experiments with mass spectrometry, one seeks not only to identify peptides but also to identify the abundance of said peptides. One way of doing this is through Label-Free Quantification. These methods tend to be cheaper than chemical tagging albeit computationally expensive. However, FlashLFQ implemented a method which speeds up the computation time by orders of magnitude.
The goal of my project is to replicate this algorithm as part of the crux-toolkit thereby providing a more holistic set of tools for crux-toolkit users.