ena-STUDY-CBRC, Computational Bioscience Research Center, KAUST-06-03-2019-09:53:05:292-214
DMAP based habitat-specific metagenomic gene catalogs, http://www.cbrc.kaust.edu.sa/dmap
Samples from several public ENA shotgun metagenomic studies were collected and assembled to predict full length genes. Gene from each habitat were clustered to produce a non-redundant gene catalog. Gene catalogs were annotated for taxonomic and extended gene function information (KO, GO, InterPro, Enzyme, eggNOG, Pathways, Industrial Proteins, Bioactive genes) using Annotation module of Dragon Metagenomic Analysis Platform (DMAP) as Gene Information Tables (GITs). These GITs are useful for data exchange and analysis across different metagenomic analysis platforms and also machine learning or Artificial Intelligence towards monitoring different ecological or host specific environments. To enable access for larger scientific community in order to search, browse or compare samples and gene catalogs, these GITs are indexed using Solr Lucene  and are available through http://www.cbrc.kaust.edu.sa/dmap
Samples from several public ENA shotgun metagenomic studies were collected and assembled to predict full length genes. Gene from each habitat were clustered to produce a non-redundant gene catalog. Gene catalogs were annotated for taxonomic and extended gene function information (KO, GO, InterPro, Enzyme, eggNOG, Pathways, Industrial Proteins, Bioactive genes) using Annotation module of Dragon Metagenomic Analysis Platform (DMAP) as Gene Information Tables (GITs). These GITs are useful for data exchange and analysis across different metagenomic analysis platforms and also machine learning or Artificial Intelligence towards monitoring different ecological or host specific environments. To enable access for larger scientific community in order to search, browse or compare samples and gene catalogs, these GITs are indexed using Solr Lucene  and are available through http://www.cbrc.kaust.edu.sa/dmap