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CallSim: Evaluation of Base Calls Using Sequencing Simulation
Accurate base calls generated from sequencing data are required for downstream biological interpretation, particularly in the case of rare variants. CallSim is a software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion To...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scholarly Research Network
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393072/ https://www.ncbi.nlm.nih.gov/pubmed/25937939 http://dx.doi.org/10.5402/2012/371718 |
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author | Morrow, Jarrett D. Higgs, Brandon W. |
author_facet | Morrow, Jarrett D. Higgs, Brandon W. |
author_sort | Morrow, Jarrett D. |
collection | PubMed |
description | Accurate base calls generated from sequencing data are required for downstream biological interpretation, particularly in the case of rare variants. CallSim is a software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion Torrent and 454 data. The algorithm processes a single read using a Monte Carlo approach to sequencing simulation, not dependent upon information from any other read in the data set. Three examples from general read correction, as well as from error-or-variant classification, demonstrate its effectiveness for a robust low-volume read processing base corrector. Specifically, correction of errors in Ion Torrent reads from a study involving mutations in multidrug resistant Staphylococcus aureus illustrates an ability to classify an erroneous homopolymer call. In addition, support for a rare variant in 454 data for a mixed viral population demonstrates “base rescue” capabilities. CallSim provides evidence regarding the validity of base calls in sequences produced by 454 or Ion Torrent systems and is intended for hands-on downstream processing analysis. These downstream efforts, although time consuming, are necessary steps for accurate identification of rare variants. |
format | Online Article Text |
id | pubmed-4393072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | International Scholarly Research Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-43930722015-05-03 CallSim: Evaluation of Base Calls Using Sequencing Simulation Morrow, Jarrett D. Higgs, Brandon W. ISRN Bioinform Research Article Accurate base calls generated from sequencing data are required for downstream biological interpretation, particularly in the case of rare variants. CallSim is a software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion Torrent and 454 data. The algorithm processes a single read using a Monte Carlo approach to sequencing simulation, not dependent upon information from any other read in the data set. Three examples from general read correction, as well as from error-or-variant classification, demonstrate its effectiveness for a robust low-volume read processing base corrector. Specifically, correction of errors in Ion Torrent reads from a study involving mutations in multidrug resistant Staphylococcus aureus illustrates an ability to classify an erroneous homopolymer call. In addition, support for a rare variant in 454 data for a mixed viral population demonstrates “base rescue” capabilities. CallSim provides evidence regarding the validity of base calls in sequences produced by 454 or Ion Torrent systems and is intended for hands-on downstream processing analysis. These downstream efforts, although time consuming, are necessary steps for accurate identification of rare variants. International Scholarly Research Network 2012-12-12 /pmc/articles/PMC4393072/ /pubmed/25937939 http://dx.doi.org/10.5402/2012/371718 Text en Copyright © 2012 J. D. Morrow and B. W. Higgs. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Morrow, Jarrett D. Higgs, Brandon W. CallSim: Evaluation of Base Calls Using Sequencing Simulation |
title | CallSim: Evaluation of Base Calls Using Sequencing Simulation |
title_full | CallSim: Evaluation of Base Calls Using Sequencing Simulation |
title_fullStr | CallSim: Evaluation of Base Calls Using Sequencing Simulation |
title_full_unstemmed | CallSim: Evaluation of Base Calls Using Sequencing Simulation |
title_short | CallSim: Evaluation of Base Calls Using Sequencing Simulation |
title_sort | callsim: evaluation of base calls using sequencing simulation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393072/ https://www.ncbi.nlm.nih.gov/pubmed/25937939 http://dx.doi.org/10.5402/2012/371718 |
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