Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

The team’s goal is to develop cutting-edge algorithms to interpret ... If you would rather apply your superb programming and analytical skills towards a cancer cure than to finance and shopping carts, ...

Professor Veli Mäkinen works in the areas of algorithmic bioinformatics and succinct data structures ... Frequently used techniques include dynamic programming, reductions, stringology, and data ...

two or more drugs that work synergistically against a problem like cancer or a viral infection has been developed by bioinformatics experts. An algorithm that can speed up by years the ability to ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...