Garzón-Alfonso, Wilmer E.

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    Una propuesta multialgorítmica para el análisis de secuencias biológicas
    (2012) Garzón-Alfonso, Wilmer E.; Seguel, Jaime; College of Engineering; Palomera-Garcia, Rogelio; Ramírez-Vick, Jaime; Department of Electrical and Computer Engineering; Ferrer, Mercedes
    With the completion of the Human Genome Project, between 20,000 and 25,000 genes related to human beings were sequenced, garnering more than 90 % of the DNA (deoxyribonucleic acid) human genome sequences. These are composed of letters that represent four possible nucleotides: Adenine, Cytosine, Guanine and Thymine. Also, the genetic composition of several non-human species was defined, generating an exponential growth in biological databases. As a result, it was necessary to apply computational methods in order to obtain information about the structures and biological evolution between these species. This research presents a multi-algorithmic approach for biological sequence analysis based on statistical and computational methods. These allow for an exhaustive analysis of DNA sequences, offering different perspectives and thus allowing for a better analysis of the information. During the course of this research, the DNA sequences of specimens that appeaed to be related to the Debaryomyces Hansenii yeast were used. These were analyzed by the different methods that were designed through the course of this investigation. The combination of these methods allowed for a simultaneous analysis of the sequences, to then find the genetic regions of interest. The end result of this investigation is the achievement of possible prediction of genes contained in the sequences of the two specimens mentioned above. The exhaustive search was conducted only in some regions of the sequences, due to the high demand of computational resources required to run the gene prediction method proposed here.