We are a new computational team that researches algorithms for big biological data, such as next-generation sequencing data. Our biological interests include genomics, metagenomics, pan-genomics, and transcriptomics. Our research is done via the development and implementation of algorithms and data structures into software tools, and also collaborations with biology groups.
INCEPTION – Institut Convergence for the study of Emergence of Pathology Through Individuals and Populations
IINCEPTION Goal The Inception’s goal is to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in a range of health issues. Inception program uses Integrative Biology, Social Science […]
2019Comparative assessment of long-read error correction software applied to Nanopore RNA-sequencing data, Brief. Bioinformatics 2019 Jun;.
2019Parallel decompression of gzip-compressed files and random access to DNA sequences, HiCOMB'19, Proceedings of IPDPS 2019.
2019Graph analysis of fragmented long-read bacterial genome assemblies, Bioinformatics 2019 Mar;.
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