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In MDTS: Detection of de novo deletion in targeted sequencing trios
Overview
MDTS provides the necessary infrastructure to take raw bam files of targeted sequencing trios to produce de novo deletion calls of high sensitivity and low false positives. Our method benefits tremendously from pooling information from across many trios to determine regions of interest, normalize read-depth, and to filter candidate deletion signals.
To install please use install_github('jmf47/MDTS', ref="R-3.4", build_vignettes=TRUE).
To view the vignette after installing MDTS use vignette("mdts", package="MDTS").
Try the MDTS package in your browser
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MDTS documentation built on Nov. 8, 2020, 6:23 p.m.
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Overview
MDTS provides the necessary infrastructure to take raw bam files of targeted sequencing trios to produce de novo deletion calls of high sensitivity and low false positives. Our method benefits tremendously from pooling information from across many trios to determine regions of interest, normalize read-depth, and to filter candidate deletion signals.
To install please use install_github('jmf47/MDTS', ref="R-3.4", build_vignettes=TRUE).
To view the vignette after installing MDTS use vignette("mdts", package="MDTS").
Try the MDTS package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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