seqbias-package: 'seqbias' modeling bias in high-throughput sequencing data
In seqbias: Estimation of per-position bias in high-throughput sequencing data
Description
This package implements a model of sequencing bias in high-throughput
sequencing data using a simple Bayesian network, the structure and
parameters of which are trained on a set of aligned reads and a reference
genome sequence.
Author(s)
Daniel Jones
dcjones@cs.washington.edu
seqbias documentation built on Nov. 8, 2020, 5:55 p.m.
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Description
This package implements a model of sequencing bias in high-throughput sequencing data using a simple Bayesian network, the structure and parameters of which are trained on a set of aligned reads and a reference genome sequence.
Author(s)
Daniel Jones dcjones@cs.washington.edu
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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