TNER

Estimates the background from healthy subjects by creating samples. TNER is based on tri-nucleotide context data and employs a binomial distribution for the mutation error to proceed. It was evaluated on data from three healthy subjects that were not part of the background cohort. This tool allows users to improve the accuracy of mutation detection in circulating tumor DNA (ctDNA).

TNER specifications

Desktop

Information

Unique identifier	OMICS_23482
Name	TNER
Alternative name	Tri-Nucleotide Error Reducer
Software type	Application/Script
Interface	Command line interface
Restrictions to use	None
Operating system	Unix/Linux, Mac OS, Windows
Programming languages	R
Computer skills	Advanced
Stability	Stable
Maintained	Yes

Download

Versioning

No version available

Maintainers

Tao Xie
Tao Xie
Shibing Deng

Publication for Tri-Nucleotide Error Reducer

TNER: a novel background error suppression method for mutation detection in circulating tumor DNA

2018 BMC Bioinformatics

PMCID: 6195972

PMID: 30342468

DOI: 10.1186/s12859-018-2428-3

TNER institution(s)

Pfizer Early Clinical Development Biostatistics, San Diego, CA, USA; Pfizer Early Oncology Development and Clinical Research, San Diego, CA, USA

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