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Source Data of "Detection of low-frequency mutations in clinical samples by increasing mutation abundance via the excision of wild-type sequences".
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2023-07-16
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Data from: Benefits and challenges with applying unique molecular identifiers in next generation sequencing to detect low frequency mutations
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
Influence of sequencing depth on the fidelity and sensitivity of 1%-5% low-frequency mutation detection
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
Benefits and challenges with applying unique molecular identifiers in next generation sequencing to detect low frequency mutations
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
DataONE2020-06-24 更新40
Bisulfite-converted duplexes for the strand-specific detection and quantification of rare mutations
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
MIPP-Seq: Ultra-sensitive rapid detection and validation of low-frequency mosaic mutations
MIPP-Seq provides an ultra-sensitive, low-cost approach for detecting and validating known and novel mutations in a highly scalable system with broad utility spanning both research and clinical diagno
NIAID Data Ecosystem50
