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Script used for the study 'Impact of mouse contamination in genomic profiling of patient-derived models and best practice for robust analysis'.

Jo, Se-Young; Kim, Eunyoung; Kim, Sangwoo


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Jo, Se-Young</dc:creator>
  <dc:creator>Kim, Eunyoung</dc:creator>
  <dc:creator>Kim, Sangwoo</dc:creator>
  <dc:date>2019-09-30</dc:date>
  <dc:description>Introduction

Scripts used for the study 'Impact of mouse contamination in genomic profiling of patient-derived models and best practice for robust analyis'. ConcatRef, Disambiguate and XenofilteR are the best suggested filtering method for general purpose. Alternatively, Xenome, XenofilteR and ConcatRef are also recommended for SNV analysis. After applying filtering method, further filtering can be achieved by blacklisting using HAMA list. Estimation of contamination ratio can be used as an indicator of whether strict or lenient blacklisting should be applied.

Description


	
	Filtering Methods

	
		BBsplit
		Bamcmp
		ConcatRef
		Disambiguate
		TwinRef-L
		TwinRef-S
		XenofilteR
		Xenome
		 
	
	
	
	MouseContamEstimator

	
		Simple Python script for calculating estimated contamination level.
		MouseContamEstimator requires HAMAlist.
	
	
</dc:description>
  <dc:identifier>https://zenodo.org/record/3465870</dc:identifier>
  <dc:identifier>10.5281/zenodo.3465870</dc:identifier>
  <dc:identifier>oai:zenodo.org:3465870</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3465869</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>PDM, PDX, organoid, mouse, filtering, NGS</dc:subject>
  <dc:title>Script used for the study 'Impact of mouse contamination in genomic profiling of patient-derived models and best practice for robust analysis'.</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
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