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 ...

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 ...

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 ...

Run an initial check to be sure the template was installed correctly, install the included Python package as an executable (allows for use of CLI), install required external packages, and make sure ...

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 ...

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 ...

You will be redirected to our submission process. Network bioinformatics sits at the intersection of graph theory, machine learning, and molecular biology, providing a principled framework to model ...

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 ...