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Artículo

An exploration tool for quality analysis in targeted sequencing experiments

Merino, Gabriela AlejandraIcon ; Fresno Rodríguez, CristóbalIcon ; Koile, Daniel IsaacIcon ; Yankilevich, PatricioIcon ; Sendoya, Juan MartínIcon ; Oliver, J.; Llera, Andrea SabinaIcon ; Fernández, E.
Fecha de publicación: 01/2015
Editorial: Springer
Revista: Ifmbe Proceedings
ISSN: 1680-0737
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Información y Bioinformática; Bioquímica y Biología Molecular

Resumen

Amplicon Exome Sequencing allows focusing on exonic regions of a small group of genes. The overall aim is to inquire sequenced regions about the occurrence of mutations, single nucleotide polymorphisms, insertions and deletions, trough Variant Calling analysis. The first steps include se-quencing, followed by alignment. Prior to further analysis, it is crucial to evaluate how well the sequencing run was achieved, as well as the quality of the carried experiment. At present, there are several open access tools to perform these tasks. But, most of them were designed for whole genome data. Hence, they are computationally expensive to just analyze a small group of genes. In addition they only offer limited visualization capabilities. Here, we proposed a light-weight amplicon se-quencing exploration tool for fast visualization and experiment quality control. The tool was developed under R language and can be executed in parallel in order to provide fast and accu-rate quality control results within a few minutes. The article presents the tool implementations and capabilities. Finally, we show its application on real amplicon sequencing data.
Palabras clave: AMPLICON SEQUENCING , QUALITY CONTROL , VISUALIZATION TOOL
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/161139
URL: http://link.springer.com/chapter/10.1007/978-3-319-13117-7_168
DOI: http://dx.doi.org/10.1007/978-3-319-13117-7_168
Colecciones
Articulos(CCT - CORDOBA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Articulos(IBIOBA - MPSP)
Articulos de INST. D/INV.EN BIOMED.DE BS AS-CONICET-INST. PARTNER SOCIEDAD MAX PLANCK
Citación
Merino, Gabriela Alejandra; Fresno Rodríguez, Cristóbal; Koile, Daniel Isaac; Yankilevich, Patricio; Sendoya, Juan Martín; et al.; An exploration tool for quality analysis in targeted sequencing experiments; Springer; Ifmbe Proceedings; 49; 1-2015; 659-662
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