Back

XenoCP: Cloud-based BAM cleansing tool for RNA and DNA from Xenograft

arunachalam, s.; Zhang, J.; Rusch, M.; Ding, L.; Thrasher, A.; Dyer, M.; Baker, S.; Jin, H.; Macias, M.; Kasper, L.

2020-01-06 bioinformatics
10.1101/843250 bioRxiv
Show abstract

SummaryXenografts are important models for cancer research and the presence of mouse reads in xenograft next generation sequencing data can potentially confound interpretation of experimental results. We present an efficient, cloud-based BAM-to-BAM cleaning tool called XenoCP to remove mouse reads from xenograft BAM files. We show application of XenoCP in obtaining accurate gene expression quantification in RNA-seq and tumor heterogeneity in WGS of xenografts derived from brain and solid tumors. Availability and ImplementationSt. Jude Cloud (https://pecan.stjude.cloud/permalink/xenocp) and St. Jude Github (https://github.com/stjude/XenoCP)

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.