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NGSTroubleFinder: A tool for detection and quantification of contamination and kinship across human NGS data

2025-02-05

Abstract excerpt

<h4>Summary</h4> Quality control is a fundamental but often neglected step in any NGS pipeline. Detecting issues like cross-sample contamination and sample swaps is essential to control the data integrity. Here, we present NGSTroubleFinder, a novel python tool to detect cross-sample contamination in human Whole-Genome and Whole-Transcriptome Sequencing data, sample swaps and mismatches between the reported and th...

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Literature Corpus work
89418fec-edad-5260-bcd1-85f9c426cab0
DOI
10.1101/2025.01.31.635690
Open publication

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NGSTroubleFinder: A tool for detection and quantification of contamination and kinship across human NGS dataDOI 10.1101/2025.01.31.635690
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