A. Cerqueira (MS Student)
A. Ferrolho (MS Student)
D. Yamunaque (MS Student)
D. Lei (MS Student)
M. J. Sousa (PhD Student)
M. Fernandes (MS Student)
M. Pinheiro (MS Student)
R. Vieira (MS Student)
T. Fonseca (MS Student)
♕ I am currently looking for motivated PhD and MSc students,
namely in the areas of computational biology, bioinformatics,
or Information theory. If you are interested, please contact me.
We develop new mathematical and computational models, including their efficient implementation into computer programs for biomedical, anthropological, and coding applications. We address both statistical and algorithmic natures creating innovative data mining and machine learning methodologies. We are currently working on projects such as the development of efficient biological data compression tools, reconstruction and analysis of ancient and extant viral genomes, identification of specific viral signatures, genomic variation quantification, classification of unknown sequences, and metagenomic analysis of ancient DNA samples. The following word map summarizes a part of our works.
In order to promote the development of efficient computational models for the minimal lossless representation of DNA and Amino Acid sequences, we hold two benchmarks. The latest top developments involve the use of neural networks for context mixing and cache hashes in weighted stochastic repeats models. Please, click on the following images to download the sequence data and benchmark with a new compression algorithm.
|Ranking||Bytes||Bps||Time (m)||RAM (GB)||Program||Replication||Factor|