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Authors: Kübra Narcı 1 ; Hasan Oğul 2 and Mahinur Akkaya 1

Affiliations: 1 Middle East Technical University, Turkey ; 2 Başkent University, Turkey

ISBN: 978-989-758-170-0

Keyword(s): MicroRNA, Sequence Clustering, Clustering Algorithms, Pair-wise Sequence Comparison Sequence Similarity.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Pattern Recognition, Clustering and Classification ; Sequence Analysis

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 mat ure 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. (More)

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Paper citation in several formats:
Narcı, K.; 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

@conference{bioinformatics16,
author={Kübra Narcı. and 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},
}

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 - Narcı, K.
AU - Oğul, H.
AU - Akkaya, M.
PY - 2016
SP - 107
EP - 116
DO - 10.5220/0005552901070116

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