Our expected results will significantly speed up existing Bioinformatics methods, and scale them to inputs that were not feasible before. We expect them to be adopted also for other graph problems in ...

The winning paper gives an efficient algorithm for finding a minimum representation of a set of given strings (k-mers), with various bioinformatics applications, such as compression, or speeding ...

Namely, on efficient algorithms reporting all those paths that appear in any flow decomposition of a network flow, with applications in more accurately reconstructing biological sequences. This work ...

Translational bioinformatics This track prepares students to apply computational tools to analyze biological data, connecting basic science with clinical insights. Coursework includes bioinformatics ...

Basic theory underlying major bioinformatics algorithms (alignment, assembly, hidden markov models) How large genomic datasets are analyzed Research and clinical applications (evolutionary and ...

The longest common subsequence (LCS) problem, a long‐standing challenge in computer science and bioinformatics, seeks to identify the maximum sequence of characters shared by multiple strings ...

Optimizing Background Therapy in Treatment-Experienced HIV-1 Patients by Rules-Based Algorithms and Bioinformatics Jenny Svärd; Anders Sönnerborg Disclosures Future Virology. 2012;7 (8):749-757.

From this shared foundation, students can specialize in one of three advanced tracks: Translational bioinformatics: This track uses computational methods to analyze biological data, bridging bench ...

This article discusses challenges in prosecuting bioinformatics patent applications before the European Patent Office (EPO). The EPO determines the subject-matter eligibility of bioinformatics ...