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leeHom: adaptor trimming and merging for Illumina sequencing reads

The sequencing of libraries containing molecules shorter than the read length, such as in ancient or forensic applications, may result in the production of reads that include the adaptor, and in paired reads that overlap one another. Challenges for the processing of such reads are the accurate ident...

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Detalles Bibliográficos
Autores principales: Renaud, Gabriel, Stenzel, Udo, Kelso, Janet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191382/
https://www.ncbi.nlm.nih.gov/pubmed/25100869
http://dx.doi.org/10.1093/nar/gku699
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author Renaud, Gabriel
Stenzel, Udo
Kelso, Janet
author_facet Renaud, Gabriel
Stenzel, Udo
Kelso, Janet
author_sort Renaud, Gabriel
collection PubMed
description The sequencing of libraries containing molecules shorter than the read length, such as in ancient or forensic applications, may result in the production of reads that include the adaptor, and in paired reads that overlap one another. Challenges for the processing of such reads are the accurate identification of the adaptor sequence and accurate reconstruction of the original sequence most likely to have given rise to the observed read(s). We introduce an algorithm that removes the adaptors and reconstructs the original DNA sequences using a Bayesian maximum a posteriori probability approach. Our algorithm is faster, and provides a more accurate reconstruction of the original sequence for both simulated and ancient DNA data sets, than other approaches. leeHom is released under the GPLv3 and is freely available from: https://bioinf.eva.mpg.de/leehom/
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spelling pubmed-41913822015-04-02 leeHom: adaptor trimming and merging for Illumina sequencing reads Renaud, Gabriel Stenzel, Udo Kelso, Janet Nucleic Acids Res Methods Online The sequencing of libraries containing molecules shorter than the read length, such as in ancient or forensic applications, may result in the production of reads that include the adaptor, and in paired reads that overlap one another. Challenges for the processing of such reads are the accurate identification of the adaptor sequence and accurate reconstruction of the original sequence most likely to have given rise to the observed read(s). We introduce an algorithm that removes the adaptors and reconstructs the original DNA sequences using a Bayesian maximum a posteriori probability approach. Our algorithm is faster, and provides a more accurate reconstruction of the original sequence for both simulated and ancient DNA data sets, than other approaches. leeHom is released under the GPLv3 and is freely available from: https://bioinf.eva.mpg.de/leehom/ Oxford University Press 2014-10-13 2014-08-06 /pmc/articles/PMC4191382/ /pubmed/25100869 http://dx.doi.org/10.1093/nar/gku699 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Renaud, Gabriel
Stenzel, Udo
Kelso, Janet
leeHom: adaptor trimming and merging for Illumina sequencing reads
title leeHom: adaptor trimming and merging for Illumina sequencing reads
title_full leeHom: adaptor trimming and merging for Illumina sequencing reads
title_fullStr leeHom: adaptor trimming and merging for Illumina sequencing reads
title_full_unstemmed leeHom: adaptor trimming and merging for Illumina sequencing reads
title_short leeHom: adaptor trimming and merging for Illumina sequencing reads
title_sort leehom: adaptor trimming and merging for illumina sequencing reads
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191382/
https://www.ncbi.nlm.nih.gov/pubmed/25100869
http://dx.doi.org/10.1093/nar/gku699
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