TY  - JOUR
AU  - Donegá Zafalon, Geraldo Francisco 
AU  - Nogueira da Cruz, Álvaro Magri 
AU  - Amorim, Anderson Rici 
AU  - Andrade, Matheus Carreira 
AU  - Contessoto, Allan Godoi 
AU  - Neves, Laendro Alves 
AU  - Gratãode Souza, Rogéria Cristiane 
AU  - Valêncio, Carlos Roberto 
AU  - Sato, Liria Matsumoto 
PY  - 2018
TI  - Performance Improvement of SNP Search Using Multithread Programming
JF  - Journal of Computer Science
VL  - 14
IS  - 11
DO  - 10.3844/jcssp.2018.1465.1474
UR  - https://thescipub.com/abstract/jcssp.2018.1465.1474
AB  - Pattern recognition is an important field in Bioinformatics and a well-known task is the search for Single Nucleotide Polymorphism (SNP). It is possible to search for a known SNP position and analyze it using patterns of DNA bases, called masks. Nonetheless, this process becomes computationally expensive as the amount of available genomic data increases. Thus, in this study, we have developed a parallelization scheme, based on multithread programming, to SNP analysis using masks. In our tests, we noticed that the proposed scheme improved the execution time in 98.05 times when compared with the sequential approach.