Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29265
Title: CNEFinder: Finding conserved non-coding elements in genomes
Authors: Ayad, LAK
Pissis, SP
Polychronopoulos, D
Issue Date: 1-Sep-2018
Publisher: Oxford University Press
Citation: Ayad, L.A.K., and . (2018) 'CNEFinder: Finding conserved non-coding elements in genomes', Bioinformatics, 34 (17), pp. i743 - i747. doi: 10.1093/bioinformatics/bty601.
Abstract: Motivation: Conserved non-coding elements (CNEs) represent an enigmatic class of genomic elements which, despite being extremely conserved across evolution, do not encode for proteins. Their functions are still largely unknown. Thus, there exists a need to systematically investigate their roles in genomes. Towards this direction, identifying sets of CNEs in a wide range of organisms is an important first step. Currently, there are no tools published in the literature for systematically identifying CNEs in genomes. Results We fill this gap by presenting CNEFinder⁠; a tool for identifying CNEs between two given DNA sequences with user-defined criteria. The results presented here show the tool’s ability of identifying CNEs accurately and efficiently. CNEFinder is based on a k-mer technique for computing maximal exact matches. The tool thus does not require or compute whole-genome alignments or indexes, such as the suffix array or the Burrows Wheeler Transform (BWT), which makes it flexible to use on a wide scale.
Description: Availability and implementation: Free software under the terms of the GNU GPL (https://github.com/lorrainea/CNEFinder).
URI: https://bura.brunel.ac.uk/handle/2438/29265
DOI: https://doi.org/10.1093/bioinformatics/bty601
ISSN: 1367-4803
Other Identifiers: ORCiD: Lorraine A K Ayad https://orcid.org/0000-0003-0846-2616
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © The Author(s) 2018. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.193.54 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons