Accurate long-read de novo assembly evaluation with Inspector
| Autor: | Amy Y. Wang, Zechen Chong, Yu Chen, Yixin Zhang, Min Gao |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Genome
Genome assembly Whole Genome Sequencing QH301-705.5 In silico High-Throughput Nucleotide Sequencing Sequence assembly Method Sequence Analysis DNA Computational biology Biology QH426-470 Long reads Human genetics Assemblers comic_books Consensus sequence Genetics De novo assembly Assembly evaluation Humans Assembly error Biology (General) Algorithms comic_books.character |
| Zdroj: | Genome Biology Genome Biology, Vol 22, Iss 1, Pp 1-21 (2021) |
| ISSN: | 1474-760X 1474-7596 |
| Popis: | Long-read de novo genome assembly continues to advance rapidly. However, there is a lack of effective tools to accurately evaluate the assembly results, especially for structural errors. We present Inspector, a reference-free long-read de novo assembly evaluator which faithfully reports types of errors and their precise locations. Notably, Inspector can correct the assembly errors based on consensus sequences derived from raw reads covering erroneous regions. Based on in silico and long-read assembly results from multiple long-read data and assemblers, we demonstrate that in addition to providing generic metrics, Inspector can accurately identify both large-scale and small-scale assembly errors. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-021-02527-4. |
| Databáze: | OpenAIRE |
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