The ocean could play an important role as reservoir of resistance genes. The genetic information from these type of biological samples tends to encompass big volumes of data and their management can be chaotic and hazy. In this aspect, Python is an efficient tool to automate the estimation of resistance genes by comparing the genetic information of the samples with existing resistance databases.