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A Web-Based Approach for Analyzing Microorganism Sequences

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Applied Computer Sciences in Engineering (WEA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 742))

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Abstract

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.

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Notes

  1. 1.

    Sanger is a sequencing technique for obtaining the nucleotides (A, C, G, T) of microorganism genome.

  2. 2.

    Amio acid are displayed in parenthesis. One amino acid can be obtained from different sets of three nuceotides.

  3. 3.

    In genetics, subclade is a term used to describe a subgroup.

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Correspondence to Hector Florez .

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Florez, H., Salvatierra, K. (2017). A Web-Based Approach for Analyzing Microorganism Sequences. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-66963-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66962-5

  • Online ISBN: 978-3-319-66963-2

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