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Article . 2019
License: CC BY
Data sources: Datacite
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Article . 2019
License: CC BY
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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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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'.

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

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

Abstract

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.

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Keywords

PDM, PDX, organoid, mouse, filtering, NGS

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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