Abstract Image memes and specifically their widely known variation image macros are a special new media type that combines text with images used in social to playfully or subtly express humor, irony, sarcasm even hate. It is important accurately retrieve from better capture the cultural aspects of online phenomena detect potential issues (hate-speech, disinformation). Essentially, background an...

We address the problem of de novo motif identification. That is, given a set of DNA sequences we try to identify motifs in the dataset without having any prior knowledge about existence of any motifs in the dataset. We propose a method based on Probabilistic Suffix Trees (PSTs) to identify fixed-length motifs from a given set of DNA sequences. Our experiments reveal that our approach successful...

Background and Aims: Influenza A viruses are important pathogens for humans especially in pandemic episodes. Two adamantane derivates, amantadine and rimantadine, are used for prophylaxis and treatment of influenza A virus infections. However, single amino acid substitutions in the M2 transmembrane domain which lead to amantadine resistance of these viruses occur at residues 26, 27, 30, 31 or 3...

Motif finding is a difficult problem that has been studied for over 20 years. Some older popular motif finders are not suitable for analysis of the large data sets generated by next-generation sequencing. We recently published an efficient approximation (STEME) to the EM algorithm that is at the core of many motif finders such as MEME. This approximation allows the EM algorithm to be applied to...

We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives is obtained by making minor incremental changes to the flight schedule by retiming the flights and the aircraft rotations, subject to a fixed fleet assignment. Approximations of the Pareto optimal front are obtained b...