No abstract

The development of new generation sequencing has significantly boosted the capacity to generate genomic data, thus increasing the demand to automated genomic analysis tools. After genome sequencing and assembly, genomic annotation is performed, a process that allows the extraction of relevant data from generated sequences, highlighting the identification of protein coding genes. In order to facilitate the expansion of offline analysis of genes for resistance to heavy metals of the species Enterobacter cloacae amazonensis, the software Genomic Annotation Analysis Software-GANAS was developed, which visually details the genes and metabolic subsystems annotated using the platform RAST. The annotated genes were analyzed by software comparing the results in several organisms with known resistance to heavy metals. It was found that strain has more resistance genes than the main patterns found in the literature, thus showing the efficiency of using GANAS.