PISMA: A Visual Representation of Motif Distribution in DNA Sequences

Author:

Alcántara-Silva Rogelio1,Alvarado-Hermida Moisés1,Díaz-Contreras Gibrán1,Sánchez-Barrios Martha2,Carrera Samantha3,Galván Silvia Carolina4

Affiliation:

1. División de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM), México City, México

2. Unidad de Posgrado, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), México City, México

3. Faculty of Biology, Medicine and Health, The University of Manchester, UK

4. Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), México City, México

Abstract

Background: Because the graphical presentation and analysis of motif distribution can provide insights for experimental hypothesis, PISMA aims at identifying motifs on DNA sequences, counting and showing them graphically. The motif length ranges from 2 to 10 bases, and the DNA sequences range up to 10 kb. The motif distribution is shown as a bar-code–like, as a gene-map–like, and as a transcript scheme. Results: We obtained graphical schemes of the CpG site distribution from 91 human papillomavirus genomes. Also, we present 2 analyses: one of DNA motifs associated with either methylation-resistant or methylation-sensitive CpG islands and another analysis of motifs associated with exosome RNA secretion. Availability and Implementation: PISMA is developed in Java; it is executable in any type of hardware and in diverse operating systems. PISMA is freely available to noncommercial users. The English version and the User Manual are provided in Supplementary Files 1 and 2, and a Spanish version is available at www.biomedicas.unam.mx/wp-content/software/pisma.zip and www.biomedicas.unam.mx/wp-content/pdf/manual/pisma.pdf .

Publisher

SAGE Publications

Subject

Applied Mathematics,Computational Mathematics,Computer Science Applications,Molecular Biology,Biochemistry

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