An integrated framework for discovery and genotyping of genomic variants from high-throughput sequencing experiments

Jorge Duitama, Juan Camilo Quintero, Daniel Felipe Cruz, Constanza Quintero, Georg Hubmann, Maria R. Foulquié-Moreno, Kevin J. Verstrepen, Johan M. Thevelein, Joe Tohme

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Recent advances in high-throughput sequencing (HTS) technologies and computing capacity have produced unprecedented amounts of genomic data that have unraveled the genetics of phenotypic variability in several species. However, operating and integrating current software tools for data analysis still require important investments in highly skilled personnel. Developing accurate, efficient and user-friendly software packages for HTS data analysis will lead to a more rapid discovery of genomic elements relevant to medical, agricultural and industrial applications. We therefore developed Next-Generation Sequencing Eclipse Plug-in (NGSEP), a new software tool for integrated, efficient and user-friendly detection of single nucleotide variants (SNVs), indels and copy number variants (CNVs). NGSEP includes modules for read alignment, sorting, merging, functional annotation of variants, filtering and quality statistics. Analysis of sequencing experiments in yeast, rice and human samples shows that NGSEP has superior accuracy and efficiency, compared with currently available packages for variants detection. We also show that only a comprehensive and accurate identification of repeat regions and CNVs allows researchers to properly separate SNVs from differences between copies of repeat elements. We expect that NGSEP will become a strong support tool to empower the analysis of sequencing data in a wide range of research projects on different species. © The Author(s) 2013. Published by Oxford University Press.
Original languageEnglish
Article numbere44
JournalNucleic Acids Research
Volume42
Issue number6
DOIs
Publication statusPublished - 1-Apr-2014
Externally publishedYes

Keywords

  • article
  • computer program
  • controlled study
  • copy number variation
  • cultivar
  • genetic algorithm
  • genetic variability
  • genotype
  • high throughput sequencing
  • human
  • indel mutation
  • measurement accuracy
  • nonhuman
  • priority journal
  • rice
  • sensitivity and specificity
  • sequence alignment
  • sequence analysis
  • single nucleotide polymorphism
  • yeast

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