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these are the data used in the DREEP (Detecting low-level mutations by utilizing the re-sequencing error profile of the data) paper to estimate the sequencing error
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创建时间：
2021-02-04
相关数据集
QuorUM: An Error Corrector for Illumina Reads
MotivationIllumina Sequencing data can provide high coverage of a genome by relatively short (most often 100 bp to 150 bp) reads at a low cost. Even with low (advertised 1%) error rate, 100 × coverage
Figshare2016-01-15 更新80
Additional file 6: of A comparative evaluation of hybrid error correction methods for error-prone long reads
Table S4. Performance statistics on alignment rate. a. Alignment rate (%) performance statistics on PacBio data of ten methods using five SR coverages. b. Alignment rate (%) performance statistics on
NIAID Data Ecosystem60
Number of genomic locations where a significant proportion of reads disagreed with the reference.
The last two columns show the number of significant strand-specific error instances out of the total testable instances (testable defined here as having reads aligning in both orientations over the si
Figshare2015-12-02 更新20
This study involved utilization of a DNA Plasmid that contained a full-length FMDV genome. The DNA plasmid was grown in bacteria before ultra-deep sequencing on a Illumina GAII. The Plasmid was then PCR amplified and again sequenced on a GAII, to asses the impact of PCR on the amount of observed mutations in the sequence data. The Plasmid was then transcribed, then reverse transcribed and PCR amplified before sequenced on a GAII, to asses the impact of RT on the amount of observed mutations in the sequence data. These control samples essentially allow the impact of sample processing on sequencing errors to be assessed in terms of viral quasispecies analyses.
Background: RNA viruses have high mutation rates and exist within their hosts as large, complex and heterogeneous populations, comprising a spectrum of related but non-identical genome sequences. Next
NIAID Data Ecosystem60
Error and Error Mitigation in Low-Coverage Genome Assemblies
The recent release of twenty-two new genome sequences has dramatically increased the data available for mammalian comparative genomics, but twenty of these new sequences are currently limited to ∼2× c
Figshare2016-01-18 更新50
