ReSeq simulates realistic Illumina high-throughput sequencing data

Genome Biol. 2021 Feb 19;22(1):67. doi: 10.1186/s13059-021-02265-7.

Abstract

In high-throughput sequencing data, performance comparisons between computational tools are essential for making informed decisions at each step of a project. Simulations are a critical part of method comparisons, but for standard Illumina sequencing of genomic DNA, they are often oversimplified, which leads to optimistic results for most tools. ReSeq improves the authenticity of synthetic data by extracting and reproducing key components from real data. Major advancements are the inclusion of systematic errors, a fragment-based coverage model and sampling-matrix estimates based on two-dimensional margins. These improvements lead to more faithful performance evaluations. ReSeq is available at https://github.com/schmeing/ReSeq .

Keywords: Genomic; High-throughput sequencing; Illumina; Simulation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computational Biology / methods*
  • Computational Biology / standards
  • Databases, Nucleic Acid
  • Genomics / methods
  • High-Throughput Nucleotide Sequencing* / methods
  • Reproducibility of Results
  • Sequence Analysis, DNA* / methods
  • Software*
  • Species Specificity
  • Web Browser