CallSim: Evaluation of Base Calls Using Sequencing Simulation. (12th December 2012)

• Record Type: Journal Article
• Authors: Morrow, Jarrett D.; Higgs, Brandon W.
• Other Names: Bolshoy A. Academic Editor.; Pappalardo F. Academic Editor.; Wang J. Academic Editor.
• Is Part Of: ISRN bioinformatics. Volume 2012(2012)
• Publication Date: 2012-12-12
• Subjects: Bioinformatics -- Periodicals; Computational biology -- Periodicals; Medical informatics -- Periodicals; Computational Biology; Medical Informatics; Bioinformatics; Computational biology; Medical informatics; Periodicals; Periodicals; 570.285
• DOI: 10.5402/2012/371718
• Languages: English
• ISSNs: 2090-7338

Abstract

Abstract : 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.