Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis

Leandro M. Ferreira, Cristiano L. N. Pinto, Sérgio M. Dias, Cristiane N. Nobre, Luis E. Zárate

2017

Abstract

The search for conservative features that define the translation and transcription processes used by cells to interpret and express their genetic information is one of the great challenges in the molecular biology. Each transcribed mRNA sequence has only one part translated into proteins, called \textit{Coding Sequence}. The detection of this region is what motivates the search for conservative characteristics in an mRNA sequence. In eukaryotes, this region usually begins with the first occurrence of the sequence of 3 nucleotides, being Adenine, Thymine and Guanine, the nucleotide set that it is called Translation Initiation Site. One way to look for conservative rules that define this region is to use the formal analysis of concepts that can have implications that indicate a coexistence between the positions of the sequence with the presence of the translation start site. This papers tries to study the use of this technique to extract conservative rules in order to predict the translation initiation site.

Paper Citation

in Harvard Style

Ferreira L., Pinto C., M. Dias S., Nobre C. and Zárate L. (2017). Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 265-271. DOI: 10.5220/0006326202650271

in Bibtex Style

@conference{iceis17,
author={Leandro M. Ferreira and Cristiano L. N. Pinto and Sérgio M. Dias and Cristiane N. Nobre and Luis E. Zárate},
title={Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={265-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006326202650271},
isbn={978-989-758-247-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis
SN - 978-989-758-247-9
AU - Ferreira L.
AU - Pinto C.
AU - M. Dias S.
AU - Nobre C.
AU - Zárate L.
PY - 2017
SP - 265
EP - 271
DO - 10.5220/0006326202650271