@Article{barbosa17lifestyle,
  author    = {Barbosa, Eudes and R\"ottger, Richard and Hauschild, Anne-Christin and {de Castro Soares}, Siomar and B\"ocker, Sebastian and Azevedo, Vasco and Baumbach, Jan},
  title     = {LifeStyle-Specific-Islands ({LiSSI}): Integrated Bioinformatics Platform for Genomic Island Analysis},
  journal   = {J Integr Bioinform},
  year      = {2017},
  volume    = {14},
  number    = {2},
  pages     = {2017-0010},
  abstract  = {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.},
  created   = {2017-07-05},
  doi       = {10.1515/jib-2017-0010},
  keywords  = {jena; Gene Clusters; Bacteria; Homologous genes; Island; Lifestyle; Machine Learning},
  owner     = {NLM},
  pmid      = {28678736},
  revised   = {2017-07-28},
  timestamp = {2017.11.15},
}

{"_id":"iCXdrjvcY8xFD57Bc","bibbaseid":"barbosa-rttger-hauschild-decastrosoares-bcker-azevedo-baumbach-lifestylespecificislandslissiintegratedbioinformaticsplatformforgenomicislandanalysis-2017","authorIDs":[],"author_short":["Barbosa, E.","Röttger, R.","Hauschild, A.","de Castro Soares , S.","Böcker, S.","Azevedo, V.","Baumbach, J."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Barbosa"],"firstnames":["Eudes"],"suffixes":[]},{"propositions":[],"lastnames":["Röttger"],"firstnames":["Richard"],"suffixes":[]},{"propositions":[],"lastnames":["Hauschild"],"firstnames":["Anne-Christin"],"suffixes":[]},{"propositions":["de Castro Soares"],"lastnames":[],"firstnames":["Siomar"],"suffixes":[]},{"propositions":[],"lastnames":["Böcker"],"firstnames":["Sebastian"],"suffixes":[]},{"propositions":[],"lastnames":["Azevedo"],"firstnames":["Vasco"],"suffixes":[]},{"propositions":[],"lastnames":["Baumbach"],"firstnames":["Jan"],"suffixes":[]}],"title":"LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis","journal":"J Integr Bioinform","year":"2017","volume":"14","number":"2","pages":"2017-0010","abstract":"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.","created":"2017-07-05","doi":"10.1515/jib-2017-0010","keywords":"jena; Gene Clusters; Bacteria; Homologous genes; Island; Lifestyle; Machine Learning","owner":"NLM","pmid":"28678736","revised":"2017-07-28","timestamp":"2017.11.15","bibtex":"@Article{barbosa17lifestyle,\n author = {Barbosa, Eudes and R\\\"ottger, Richard and Hauschild, Anne-Christin and {de Castro Soares}, Siomar and B\\\"ocker, Sebastian and Azevedo, Vasco and Baumbach, Jan},\n title = {LifeStyle-Specific-Islands ({LiSSI}): Integrated Bioinformatics Platform for Genomic Island Analysis},\n journal = {J Integr Bioinform},\n year = {2017},\n volume = {14},\n number = {2},\n pages = {2017-0010},\n abstract = {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.},\n created = {2017-07-05},\n doi = {10.1515/jib-2017-0010},\n keywords = {jena; Gene Clusters; Bacteria; Homologous genes; Island; Lifestyle; Machine Learning},\n owner = {NLM},\n pmid = {28678736},\n revised = {2017-07-28},\n timestamp = {2017.11.15},\n}\n\n","author_short":["Barbosa, E.","Röttger, R.","Hauschild, A.","de Castro Soares , S.","Böcker, S.","Azevedo, V.","Baumbach, J."],"key":"barbosa17lifestyle","id":"barbosa17lifestyle","bibbaseid":"barbosa-rttger-hauschild-decastrosoares-bcker-azevedo-baumbach-lifestylespecificislandslissiintegratedbioinformaticsplatformforgenomicislandanalysis-2017","role":"author","urls":{},"keyword":["jena; Gene Clusters; Bacteria; Homologous genes; Island; Lifestyle; Machine Learning"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://git.bio.informatik.uni-jena.de/fleisch/literature/raw/master/group-literature.bib","creationDate":"2019-11-19T16:29:35.166Z","downloads":0,"keywords":["jena; gene clusters; bacteria; homologous genes; island; lifestyle; machine learning"],"search_terms":["lifestyle","specific","islands","lissi","integrated","bioinformatics","platform","genomic","island","analysis","barbosa","röttger","hauschild","de castro soares ","böcker","azevedo","baumbach"],"title":"LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis","year":2017,"dataSources":["C5FtkvWWggFfMJTFX"]}