parse_realignment: parse_realignment
In mskilab/loosends: Classifying loose ends in gGraphs
parse_realignment R Documentation
parse_realignment
Description
takes two BAMs, one with all reads and mates, and one with realignments
and merges them, marking reads which did not realign uniquely to the reference
Usage
parse_realignment(reads, aln_bam, filter = FALSE, verbose = FALSE)
Arguments
reads
(GRanges) reads from .sample_spec
aln_bam
(character) bam realigned to reference
filter
(logical) default FALSE
verbose
(logical) default FALSE
Value
data.table of realigned reads
mskilab/loosends documentation built on Aug. 24, 2023, 8:08 a.m.
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| parse_realignment | R Documentation |
parse_realignment
Description
takes two BAMs, one with all reads and mates, and one with realignments and merges them, marking reads which did not realign uniquely to the reference
Usage
parse_realignment(reads, aln_bam, filter = FALSE, verbose = FALSE)
Arguments
reads |
(GRanges) reads from .sample_spec |
aln_bam |
(character) bam realigned to reference |
filter |
(logical) default FALSE |
verbose |
(logical) default FALSE |
Value
data.table of realigned reads
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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