Author(s)

Fábio Manoel França Lobato^1*, Carlos Diego Damasceno^2,3, Daniela Soares Leite⁴, Ândrea Kelly Ribeiro-dos-Santos⁵, Sylvain Darnet⁵, Carlos Renato Francês², Nandamudi Lankalapalli Vijaykumar⁶, Ádamo Lima de Santana²

¹Engineering and Geoscience Institute, Federal University of Western Pará (UFOPa), Santarém, Brazil.
²Technological Institute, Federal University of Pará (UFPa), Belém, Brazil.
³Institute of Mathematical and Computer Sciences, University of São Paulo (USP), São Carlos, Brazil.
⁴Department of Morphology and Physiological Sciences, State University of Pará, Marabá, Brazil.
⁵Biological Science Institute, Federal University of Pará (UFPa), Belém, Brazil.
⁶Laboratory of Computing and Applied Mathematics, National Institute for Space Research (INPE), São José Dos Campos, Brazil.

New sequencing technologies such as Illumina/Solexa, SOLiD/ABI, and 454/Roche, revolutionized the biological researches. In this context, the SOLiD platform has a particular sequencing type, known as multiplex run, which enables the sequencing of several samples in a single run. It implies in cost reduction and simplifies the analysis of related samples. Meanwhile, this sequencing type requires an additional filtering step to ensure the reliability of the results. Thus, we propose in this paper a probabilistic model which considers the intrinsic characteristics of each sequencing to characterize multiplex runs and filter low-quality data, increasing the data analysis reliability of multiplex sequencing performed on SOLiD. The results show that the proposed model proves to be satisfactory due to: 1) identification of faults in the sequencing process; 2) adaptation and development of new protocols for sample preparation; 3) the assignment of a degree of confidence to the data generated; and 4) guiding a filtering process, without discarding useful sequences in an arbitrary manner.

Probabilistic Modeling, Health Informatics, SOLiD Barcoding System, Statistical Analysis, Multiplex Sequencing

França Lobato, F. , Damasceno, C. , Soares Leite, D. , Ribeiro-dos-Santos, Â. , Darnet, S. , Francês, C. , Lankalapalli Vijaykumar, N. and de Santana, Á. (2018) Data Analysis of Multiplex Sequencing at SOLiD Platform: A Probabilistic Approach to Characterization and Reliability Increase. American Journal of Molecular Biology, 8, 26-38. doi: 10.4236/ajmb.2018.81003.