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Even mock community consists of 10 microbes. raw sequence reads. synthetic metagenome

NIAID Data Ecosystem2026-03-08 收录

合成微生物组测序

测序错误分析

数据链接：

https://www.ncbi.nlm.nih.gov/bioproject/PRJNA290408 数据链接链接失效反馈

官方服务：

资源简介：

Re-sequencing of genome-sequenced 10 microbes to identify sequence-specific errors.

应用场景：

创建时间：

2015-07-20

测序技术

测序错误分析

Additional file 5: FASTA file of the 6 reference sequences. The six reference DNA sequences used in this analysis are found in the corresponding FASTA file. They correspond to the control DNA fragment

DataCite Commons2020-08-27 更新80

Results for error correction by POLCA and Pilon on an A . thaliana genome (total size 119Mb) with three different numbers of simulated errors.

基因组模拟

测序错误分析

Error rates ranged from 0.1% to 0.46%. Boldface indicates the better values for each experiment in each row.

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Additional file 5 of SequencErr: measuring and suppressing sequencer errors in next-generation sequencing data

测序错误分析

二代测序质量控制

Additional file 5: Supplementary Table S4. NovaSeq datasets. Publicly accessible studies deposited in NCBI SRA ( https://www.ncbi.nlm.nih.gov/sra ) were reviewed to account for lost read names.

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Analysis of error profiles in deep next-generation sequencing data

测序错误分析

低频变异检测

Sequencing errors are key confounding factors for detecting low-frequency genetic variants that are important for cancer molecular diagnosis, treatment, and surveillance using deep next-generation seq

NIAID Data Ecosystem70

Human: Total and homopolymer-induced sequencing errors.

测序错误分析

同聚物错误检测

Human: Total and homopolymer-induced sequencing errors.

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