Biologists work constantly to find answers that allow proposing solutions to problems that affect everyday life. Computing has the necessary elements to support the work of biologists using bioinformatics. The characterization of soils for creole potato cultivation in Colombia demands interdisciplinary work between biology and computer science. In biology, the hybridization of chains of DNA allows to carry out the soil characterization as a laboratory activity. The computer science allows recreating this process of hybridization with the help of appropriate computer equipment, in order to reproduce the process of computational hybridization of sequences of DNA. This process is known as hybridization in silico. A general problem in biological information processing is the high response time. This paper proposes a parallelized version of hybridizer in silico system that runs on a computer cluster using mpiBLAST implementation. We propose an algorithm called Hybridizer In silico for Paralleling Processing - HISPeP-UN, which aims to increase the performance and to reduce system response time, allowing characterization results, in this case of soil, at reasonable times.