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ReSeq simulates realistic Illumina high-throughput sequencing data
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, wh...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896392/ https://www.ncbi.nlm.nih.gov/pubmed/33608040 http://dx.doi.org/10.1186/s13059-021-02265-7 |
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author | Schmeing, Stephan Robinson, Mark D. |
author_facet | Schmeing, Stephan Robinson, Mark D. |
author_sort | Schmeing, Stephan |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-021-02265-7). |
format | Online Article Text |
id | pubmed-7896392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78963922021-02-22 ReSeq simulates realistic Illumina high-throughput sequencing data Schmeing, Stephan Robinson, Mark D. Genome Biol Method 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-021-02265-7). BioMed Central 2021-02-19 /pmc/articles/PMC7896392/ /pubmed/33608040 http://dx.doi.org/10.1186/s13059-021-02265-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Schmeing, Stephan Robinson, Mark D. ReSeq simulates realistic Illumina high-throughput sequencing data |
title | ReSeq simulates realistic Illumina high-throughput sequencing data |
title_full | ReSeq simulates realistic Illumina high-throughput sequencing data |
title_fullStr | ReSeq simulates realistic Illumina high-throughput sequencing data |
title_full_unstemmed | ReSeq simulates realistic Illumina high-throughput sequencing data |
title_short | ReSeq simulates realistic Illumina high-throughput sequencing data |
title_sort | reseq simulates realistic illumina high-throughput sequencing data |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896392/ https://www.ncbi.nlm.nih.gov/pubmed/33608040 http://dx.doi.org/10.1186/s13059-021-02265-7 |
work_keys_str_mv | AT schmeingstephan reseqsimulatesrealisticilluminahighthroughputsequencingdata AT robinsonmarkd reseqsimulatesrealisticilluminahighthroughputsequencingdata |