fMLC: fast multi-level clustering and visualization of large molecular datasets

@article{Vu2018fMLCFM,
  title={fMLC: fast multi-level clustering and visualization of large molecular datasets},
  author={Duong Vu and Sonja Georgievska and Szaniszlo Szoke and Arnold Kuzniar and Vincent Robert},
  journal={Bioinformatics},
  year={2018},
  volume={34 9},
  pages={1577-1579}
}
Motivation Despite successful applications of data clustering and visualization techniques in molecular sequence identification, current technologies still do not scale to large biological datasets. Results We address this problem by a new multi-threaded tool, fMLC, primarily developed to cluster DNA sequences, that is supplemented with an interactive web-based visualization component, DiVE. fMLC enabled to compare, cluster and visualize 350K ITS fungal sequences at the species level. It took… CONTINUE READING
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