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CNEFinder: finding conserved non-coding elements in genomes

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 g...

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Detalles Bibliográficos
Autores principales: Ayad, Lorraine A K, Pissis, Solon P, Polychronopoulos, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129273/
https://www.ncbi.nlm.nih.gov/pubmed/30423090
http://dx.doi.org/10.1093/bioinformatics/bty601
Descripción
Sumario: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 [Formula: see text]; 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. [Formula: see text] 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. AVAILABILITY AND IMPLEMENTATION: Free software under the terms of the GNU GPL (https://github.com/lorrainea/CNEFinder).