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TraceQC: An R package for quality control of CRISPR lineage tracing data

Authors :
Hyun-Hwan Jeong
Zhandong Liu
Xiang Zhang
Jingyuan Hu
Rami Al-Ouran
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

MotivationThe CRISPR-based lineage tracing system is emerging as a powerful new sequencing tool to track cell lineages by marking cells with irreversible genetic mutations. Accurate reconstruction of cell lineages from CRISPR-based data is sensitive to noise. Quality control is critical for filtering out low-quality data points. Yet, existing quality control tools for RNA-seq and DNA-seq do not measure features specific for the CRISPR-linear tracing system.ResultsWe introduce TraceQC, a quality control package to overcome challenges with measuring the quality of CRISPR-based lineage tracing data and help in interpreting and constructing lineage trees.AvailabilityThe R package is available at https://github.com/LiuzLab/TraceQC.Contactzhandong.liu@bcm.edu or hyun-hwan.jeong@bcm.edu

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........5ba7be5dfa7fcc5cbc2a97c7e33d761e
Full Text :
https://doi.org/10.1101/2020.06.05.137141