LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis

Eudes Barbosa, Richard Rottger, Anne-Christin Hauschild, Siomar de Castro Soares, Sebastian Boecker, Vasco Azevedo, Jan Baumbach

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

155 Downloads (Pure)


Distinct bacteria are able to cope with highly diverse lifestyles; for instance, they can be free living or host-associated. Thus, these organisms must possess a large and varied genomic arsenal to withstand different environmental conditions. To facilitate the identification of genomic features that might influence bacterial adaptation to a specific niche, we introduce LifeStyle-Specific-Islands (LiSSI). LiSSI combines evolutionary sequence analysis with statistical learning (Random Forest with feature selection, model tuning and robustness analysis). In summary, our strategy aims to identify conserved consecutive homology sequences (islands) in genomes and to identify the most discriminant islands for each lifestyle.
TidsskriftJournal of Integrative Bioinformatics
Udgave nummer2
Antal sider7
StatusUdgivet - 2017


  • Bacteria
  • Lifestyle
  • Machine Learning
  • Island
  • Homologous genes


Dyk ned i forskningsemnerne om 'LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis'. Sammen danner de et unikt fingeraftryk.