count.reads
(Package: seqbias) :
Counting reads across intervals
Counts the number of reads starting at each position across given genomic intervals
● Data Source:
BioConductor
● Keywords:
● Alias: count.reads
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kmer.freq
(Package: seqbias) :
Measuring positional kmer frequencies
Given a sample of sequences and corresponding read counts, produce a table giving the position kmer frequencies relative to read starts
● Data Source:
BioConductor
● Keywords:
● Alias: kmer.freq
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random.intervals
(Package: seqbias) :
Generating random genomic intervals
Given a vector of sequence lengths, generate genomic intervals uniformly at random
● Data Source:
BioConductor
● Keywords:
● Alias: random.intervals
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seqbias
(Package: seqbias) :
The seqbias model
The seqbias class maintains a model of the sequencing bias of from an experiment, which can be saved, loaded, trained, and used to make predictions of bias.
● Data Source:
BioConductor
● Keywords:
● Alias: seqbias-class
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seqbias-package
(Package: seqbias) :
'seqbias' modeling bias in high-throughput sequencing data
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.
● Data Source:
BioConductor
● Keywords:
● Alias: seqbias, seqbias-package
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seqbias.fit
(Package: seqbias) :
Fitting seqbias models
Fits a seqbias module given a reference sequence and reads in BAM format
● Data Source:
BioConductor
● Keywords:
● Alias: seqbias.fit
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Loads a seqbias model from a file written with 'seqbias.save'.
● Data Source:
BioConductor
● Keywords:
● Alias: seqbias.load
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Predicts sequencing bias given a fit seqbias model
● Data Source:
BioConductor
● Keywords:
● Alias: seqbias.predict
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Writes to a seqbias model to a file suitable to loaded with 'seqbias.load'
● Data Source:
BioConductor
● Keywords:
● Alias: seqbias.save
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providing 
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