Journal article
Systematic review of next-generation sequencing simulators: computational tools, features and perspectives
Briefings in Functional Genomics, Vol.16(3), pp.121-128
2017
Abstract
High-throughput next-generation sequencing (NGS) technologies have rapidly generated a large volume of genomic data. To aid the development and evaluation of new statistical models and computational methods, NGS-based simulators have been proposed to construct better experimental workflows. However, the comparative performance of these NGS simulators remains unclear. In this review, we conducted a comprehensive investigation of NGS simulators for various sequencing techniques, including DNA sequencing, metagenomic sequencing, RNA-seq, ChIP-seq and bisulfite sequencing for methylation.
Details
- Title
- Systematic review of next-generation sequencing simulators: computational tools, features and perspectives
- Authors
- Min Zhao (Author) - Peking University, ChinaDi Liu (Author) - Peking University, ChinaHong Qu (Author) - Peking University, China
- Publication details
- Briefings in Functional Genomics, Vol.16(3), pp.121-128
- Publisher
- Oxford University Press
- Date published
- 2017
- DOI
- 10.1093/bfgp/elw012
- ISSN
- 2041-2649
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99450938002621
- Output Type
- Journal article
Metrics
6 File views/ downloads
509 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Biotechnology & Applied Microbiology
- Genetics & Heredity
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites