PhiX174

NIAID Data Ecosystem2026-03-07 收录

测序错误评估

低频突变检测

数据链接：

https://www.ncbi.nlm.nih.gov/bioproject/PRJEB2910 数据链接链接失效反馈

官方服务：

资源简介：

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

创建时间：

2012-02-28

Data from: Benefits and challenges with applying unique molecular identifiers in next generation sequencing to detect low frequency mutations

基因测序

低频突变检测

Indexing individual template molecules with a unique identifier (UID) before PCR and deep sequencing is promising for detecting low frequency mutations, as true mutations could be distinguished from P

DataONE2016-01-22 更新100

Bisulfite-converted duplexes for the strand-specific detection and quantification of rare mutations

低频突变检测

精准医学测序

The identification of mutations that are present at low frequencies in clinical samples is an essential component of precision medicine. The development of molecular barcoding for next generation sequ

NIAID Data Ecosystem60

Benefits and challenges with applying unique molecular identifiers in next generation sequencing to detect low frequency mutations

低频突变检测

UID测序技术

DataONE2020-06-24 更新40

Analysis of synthetic mock community for assessing sequencing errors in bioinformatic pipelines

测序错误评估

生物信息学流程

Even mock communities consisting of 12 species where analyzed in order to check the error rate of bio-informatic pipelines.

NIAID Data Ecosystem60

Influence of sequencing depth on the fidelity and sensitivity of 1%-5% low-frequency mutation detection

低频突变检测

测序深度优化

Influence of sequencing depth on the fidelity and sensitivity of 1%-5% low-frequency mutation detection and recommendations for standardization of sequencing depth calculation

DataCite Commons2021-12-27 更新60

PhiX174

资源简介：

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