format_spliceai_thresh: Formats SpliceAI with -T flag output and filter for predicted...
In TRON-Bioinformatics/splice2neo: Aberrant splice junction analysis with associated mutations
View source: R/format_spliceai.R
format_spliceai_thresh R Documentation
Formats SpliceAI with -T flag output and filter for predicted effects
Description
Reformat the data for each annotated effect per row, filters effects
to have a probability score not NA and score > 0, and removes gene symbol from
data to make non-redundant output.
Usage
format_spliceai_thresh(spliceai_variants)
Arguments
spliceai_variants
tibble with parsed
spliceAI mutations from parse_spliceai
Value
A tibble with splicing effects per row
See Also
parse_spliceai_thresh, annotate_mut_effect
Examples
spliceai_file <- system.file("extdata", "spliceai_thresh_output.vcf", package = "splice2neo")
df <- parse_spliceai_thresh(spliceai_file)
format_spliceai_thresh(df)
TRON-Bioinformatics/splice2neo documentation built on July 27, 2024, 3:25 a.m.
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View source: R/format_spliceai.R
| format_spliceai_thresh | R Documentation |
Formats SpliceAI with -T flag output and filter for predicted effects
Description
Reformat the data for each annotated effect per row, filters effects to have a probability score not NA and score > 0, and removes gene symbol from data to make non-redundant output.
Usage
format_spliceai_thresh(spliceai_variants)
Arguments
spliceai_variants |
tibble with parsed
spliceAI mutations from |
Value
A tibble with splicing effects per row
See Also
parse_spliceai_thresh, annotate_mut_effect
Examples
spliceai_file <- system.file("extdata", "spliceai_thresh_output.vcf", package = "splice2neo")
df <- parse_spliceai_thresh(spliceai_file)
format_spliceai_thresh(df)
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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