Sequence-based MicroRNA Clustering

Kübra Narcı, Hasan Oğul, Mahinur Akkaya

2016

Abstract

MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation. Altogether, understanding integrative and co-operative activities in gene regulation is conjugated with identification of miRNA families. In current applications, the identification of such groups of miRNAs is only investigated by the projections of their expression patterns and so along with their functional relations. Considering the fact that the miRNA regulation is mediated through its mature sequence by the recognition of the target mRNA sequences in the RISC (RNA-induced silencing complex) binding regions, we argue here that relevant miRNA groups can be obtained by de novo clustering them solely based on their sequence information, by a sequence clustering approach. In this way, a new study can be guided by a set of previously annotated miRNA groups without any preliminary experimentation or literature evidence. In this report, we presents the results of a computational study that considers only mature miRNA sequences to obtain relevant miRNA clusters using various machine learning methods employed with different sequence representation schemes. Both statistical and biological evaluations encourages the use this approach in silico assessment of functional miRNA groups.

Paper Citation

in Harvard Style

Narcı K., Oğul H. and Akkaya M. (2016). Sequence-based MicroRNA Clustering . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 107-116. DOI: 10.5220/0005552901070116

in Bibtex Style

@conference{bioinformatics16,
author={Kübra Narcı and Hasan Oğul and Mahinur Akkaya},
title={Sequence-based MicroRNA Clustering},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)},
year={2016},
pages={107-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005552901070116},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)
TI - Sequence-based MicroRNA Clustering
SN - 978-989-758-170-0
AU - Narcı K.
AU - Oğul H.
AU - Akkaya M.
PY - 2016
SP - 107
EP - 116
DO - 10.5220/0005552901070116