Webinar Summary

Integer linear programming is increasingly being used in computational biology in non-traditional ways: to model biological phenomena, to analyze biological data, and to extract biological insight from the models and the data. Best-of-breed ILP solvers have proven to be effective in tackling problem instances of importance in biology, thereby opening up huge opportunities in this area. However, there are challenges in effectively using these tools for biological problems.

In this webinar recording, we explore the use of integer programming in computational biology and explain how it differs from traditional uses of integer programming. This will be illustrated through the particular problem of predicting the two-dimensional folding of RNA molecules. It’s important to note that attendees are not required to have a biological background – as all key concepts will be introduced and explained during the webinar.

In the webinar, we discuss:

  • The basic model and problem of RNA folding, and how it is implemented and solved as an integer linear program./li>
  • Simple biological extensions of the basic RNA folding model and how they are modeled and solved using integer linear programming.
  • Two challenging extensions of the model, base-stacking and pseudo-knots, and how these are modeled and solved using integer linear programming.

Presented Materials

You can download the slides presented in this webinar here.

Meet the Experts

What's
New at Gurobi

News
Gurobi 10.0 Delivers Blazing-Fast Speed, Innovative Data Science Integration, and an Enterprise Development and Deployment Experience
Latest release enables data professionals to easily integrate machine learning models into optimization models to solve new types of problems.
 Learn More
Event
Webinar: What’s New in Gurobi 10.0
In this webinar, attendees will get a first look at our upcoming product release, Gurobi 10.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
 Learn More
new content
Cost Savings & Business Benefits for Gurobi Customers
2022 Total Economic Impact™ Study Reveals A 518% ROI with Gurobi
 Learn More