Literature DB >> 30004886

Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data.

Donghe Li, Wonji Kim, Longfei Wang, Kyong-Ah Yoon, Boyoung Park, Charny Park, Sun-Young Kong, Yongdeuk Hwang, Daehyun Baek, Eun Sook Lee, Sungho Won.   

Abstract

Insertions and deletions (INDELs) comprise a significant proportion of human genetic variation, and recent papers have revealed that many human diseases may be attributable to INDELs. With the development of next-generation sequencing (NGS) technology, many statistical/computational tools have been developed for calling INDELs. However, there are differences among those tools, and comparisons among them have been limited. In order to better understand these inter-tool differences, five popular and publicly available INDEL calling tools-GATK HaplotypeCaller, Platypus, VarScan2, Scalpel, and GotCloud-were evaluated using simulation data, 1000 Genomes Project data, and family-based sequencing data. The accuracy of INDEL calling by each tool was mainly evaluated by concordance rates. Family-based sequencing data, which consisted of 49 individuals from eight Korean families, were used to calculate Mendelian error rates. Our comparison results show that GATK HaplotypeCaller usually performs the best and that joint calling with Platypus can lead to additional improvements in accuracy. The result of this study provides important information regarding future directions for the variant detection and the algorithms development.

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Year:  2018        PMID: 30004886     DOI: 10.1109/TCBB.2018.2854793

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  2 in total

1.  Read trimming has minimal effect on bacterial SNP-calling accuracy.

Authors:  Stephen J Bush
Journal:  Microb Genom       Date:  2020-12-11

2.  ICR142 Benchmarker: evaluating, optimising and benchmarking variant calling performance using the ICR142 NGS validation series.

Authors:  Elise Ruark; Esty Holt; Anthony Renwick; Márton Münz; Matthew Wakeling; Sian Ellard; Shazia Mahamdallie; Shawn Yost; Nazneen Rahman
Journal:  Wellcome Open Res       Date:  2018-10-31
  2 in total

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