Quality assessment and quality control of next-generation sequencing for Leishmania infantum

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Juliana Mariotti Guerra
Natália Coelho Couto de Azevedo Fernandes
José Eduardo de Raeffray Barbosa
Helena Hilomi Taniguchi
Roberto Mitsuyoshi Hiramoto
José Eduardo Tolezano
Bruno Cogliati

Abstract

Next-generation sequencing (NGS) technologies are becoming widely used, and although a massive number of sequences can be generated in a single experiment, it is still important to characterize the reads. Characterizing reads may prevent undesirable outcomes in the assembly or mapping processes. Discarding low-quality reads, controlling for contamination, and trimming adaptor sequences are examples of preliminary quality control procedures that can be applied to raw reads before further analysis. Here it was applied the FastQ Quality Control Software (FastQC) in order to assess the quality of the data of next-generation sequecing for Leishmania infatum.

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How to Cite
GUERRA, J. M.; FERNANDES, N. C. C. DE A.; BARBOSA, J. E. DE R.; TANIGUCHI, H. H.; HIRAMOTO, R. M.; TOLEZANO, J. E.; COGLIATI, B. Quality assessment and quality control of next-generation sequencing for Leishmania infantum. Revista de Educação Continuada em Medicina Veterinária e Zootecnia, v. 14, n. 1, p. 62-62, 3 Jun. 2016.
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SEMANA CIENTÍFICA PROF. DR. BENJAMIN EURICO MALUCELLI