A Web-Based Approach for Analyzing Microorganism Sequences

In biology, a mutation is a change in the nucleotide sequence of the genome of a microorganisms (e.g., virus, bacteria). Mutations play an important role in biological processes of microorganisms such as drug resistance. Analyzing these mutations becomes a challenge because microorganisms are described by a big amount of data that must be processed based on reference microorganisms data. Nowadays, scientists in health areas make these analyses manually or using standalone software that provide results in plain text formats, which limit their interpretations. In this paper, we present an approach for analyzing microorganism pathogens. The analysis is performed using the information contained in the nucleotide sequence and comparing it to reference sequences. This approach allows users to calculate changes of nucleotide and amino acid from selected sequences obtained using conventional Sanger and cloning sequencing techniques. The results of our approach are deployed using different visualization techniques that facilitate results interpretation.