Our research focuses on investigating disease signatures within the adaptive immune repertoire and applying these insights for diagnostic purposes. We analyze the adaptive immune repertoire to better understand cancer and other diseases, aiming to enhance early detection and personalized treatment strategies.
Additionally, we collaborate closely with experimentalists to gain structural insights into the functions of biological macromolecules. This interdisciplinary approach allows us to bridge the gap between theoretical research and practical applications, contributing to advancements in medical science.
Multiple sequence alignment (MSA) is an important step in many comparative analyses of biological sequences, and MAFFT is one of the most popular programs for building MSAs. Since the first release in 2002, we have been actively developing the standalone and online versions of MAFFT to improve their accuracy, speed and utility in practical situations, and have provided different options for newly emerging types of data and analysis.
Recently-added features to the MAFFT program include interactive selection of sequences for phylogenetic tree inference, parallel processing to make more accurate options applicable to a larger number of sequences and respond to the demands of large-scale analysis and new options specifically for virus genome alignment including SARS-CoV-2.