When I ask first-year computer science undergraduate students how to quantify the speed of an algorithm, they look at me puzzled and tell me to just run the algorithm and see how long it takes. Such ...

When scientists first began to clone and sequence genes, the process was laborious and entirely manual. The arrival of automated protein sequencing machines in the early 1980s (Ref. 1) was an event ...

Scalable Graph Algorithms for Bioinformatics using Structure, Parameterization and Dynamic Updates, ERC Consolidator Grant, 9/2025-8/2030 Sequencing technologies have developed to be cheap and ...

NOTE: Some biology, molecular biology, genetics background would help, but not required. Basics regarding the topic will be covered in class. Prerequisites: Elementary discrete mathematics, basic ...

Our research is focused on graph algorithms, from both a theoretical perspective, and a practical perspective motivated by real-world problems in Bioinformatics, such as genome sequencing technologies ...

This is the implementation of three of the most important algorithms that every student interested in the field of Bioinformatics should know (my humble opinion!). For scoring we use PAM250 to ...

Abstract: This paper describes the application of swarm algorithms on bioinformatics data namely protein sequences. The big data that exists in bioinformatics domains require an intelligent method ...

Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled ...