Uneven Distribution of Potential Triplex Sequences in the Human Genome - In Silico Study using the R/Bioconductor Package Triplex

Matej Lexa, Tomáš Martínek, Marie Brázdová

2014

Abstract

Eukaryotic genomes are rich in sequences capable of forming non-B DNA structures. These structures are expected to play important roles in natural regulatory processes at levels above those of individual genes, such as whole genome dynamics or chromatin organization, as well as in processes leading to the loss of these functions, such as cancer development. Recently, a number of authors have mapped the occurrence of potential quadruplex sequences in the human genome and found them to be associated with promoters. In this paper, we set out to map the distribution and characteristics of potential triplex-forming sequences (PTS) in the human genome sequence. Using the R/Bioconductor package triplex, we found these sequences to be excluded from exons, while present mostly in a small number of repetitive sequence classes, especially short sequence tandem repeats (microsatellites), Alu and combined elements, such as SVA. We also introduce a novel way of classifying potential triplex sequences, using a lexicographically minimal rotation of the most frequent k-mer to assign class membership automatically. Members of such classes typically have different propensities to form parallel and antiparallel intramolecular triplexes (H-DNA). We observed an interesting pattern, where the predicted third strands of antiparallel H-DNA were much less likely to contain a deletion than their duplex structural counterpart than were their parallel versions.

Paper Citation

in Harvard Style

Lexa M., Martínek T. and Brázdová M. (2014). Uneven Distribution of Potential Triplex Sequences in the Human Genome - In Silico Study using the R/Bioconductor Package Triplex . In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014) ISBN 978-989-758-012-3, pages 80-88. DOI: 10.5220/0004824100800088

in Bibtex Style

@conference{bioinformatics14,
author={Matej Lexa and Tomáš Martínek and Marie Brázdová},
title={Uneven Distribution of Potential Triplex Sequences in the Human Genome - In Silico Study using the R/Bioconductor Package Triplex},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)},
year={2014},
pages={80-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004824100800088},
isbn={978-989-758-012-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)
TI - Uneven Distribution of Potential Triplex Sequences in the Human Genome - In Silico Study using the R/Bioconductor Package Triplex
SN - 978-989-758-012-3
AU - Lexa M.
AU - Martínek T.
AU - Brázdová M.
PY - 2014
SP - 80
EP - 88
DO - 10.5220/0004824100800088