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Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution

The miRBase currently reports more than 25,000 microRNAs in several hundred genomes that belong to more than 1000 families of homologous sequences. Quantitative investigations of miRNA gene evolution requires the construction of data sets that are consistent in their coverage and include those genom...

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Detalles Bibliográficos
Autores principales: Yazbeck, Ali M., Tout, Kifah R., Stadler, Peter F., Hertel, Jana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042801/
https://www.ncbi.nlm.nih.gov/pubmed/28637930
http://dx.doi.org/10.1515/jib-2016-0013
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author Yazbeck, Ali M.
Tout, Kifah R.
Stadler, Peter F.
Hertel, Jana
author_facet Yazbeck, Ali M.
Tout, Kifah R.
Stadler, Peter F.
Hertel, Jana
author_sort Yazbeck, Ali M.
collection PubMed
description The miRBase currently reports more than 25,000 microRNAs in several hundred genomes that belong to more than 1000 families of homologous sequences. Quantitative investigations of miRNA gene evolution requires the construction of data sets that are consistent in their coverage and include those genomes that are of interest in a given study. Given the size and structure of data, this can be achieved only with the help of a fully automatic pipeline that improves the available seed alignments, extends the set of available sequences by homology search, and reliably identifies true positive homology search results. Here we describe the current progress towards such a system, emphasizing the task of improving and completing the initial seed alignment.
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spelling pubmed-60428012019-01-28 Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution Yazbeck, Ali M. Tout, Kifah R. Stadler, Peter F. Hertel, Jana J Integr Bioinform Article The miRBase currently reports more than 25,000 microRNAs in several hundred genomes that belong to more than 1000 families of homologous sequences. Quantitative investigations of miRNA gene evolution requires the construction of data sets that are consistent in their coverage and include those genomes that are of interest in a given study. Given the size and structure of data, this can be achieved only with the help of a fully automatic pipeline that improves the available seed alignments, extends the set of available sequences by homology search, and reliably identifies true positive homology search results. Here we describe the current progress towards such a system, emphasizing the task of improving and completing the initial seed alignment. De Gruyter 2017-06-05 /pmc/articles/PMC6042801/ /pubmed/28637930 http://dx.doi.org/10.1515/jib-2016-0013 Text en ©2017, Peter F. Stadler, published by De Gruyter, Berlin/Boston http://creativecommons.org/licenses/by-nc-nd/3.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
spellingShingle Article
Yazbeck, Ali M.
Tout, Kifah R.
Stadler, Peter F.
Hertel, Jana
Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution
title Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution
title_full Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution
title_fullStr Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution
title_full_unstemmed Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution
title_short Towards a Consistent, Quantitative Evaluation of MicroRNA Evolution
title_sort towards a consistent, quantitative evaluation of microrna evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042801/
https://www.ncbi.nlm.nih.gov/pubmed/28637930
http://dx.doi.org/10.1515/jib-2016-0013
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