Basic Features¶
Coverage¶
- finaletoolkit.frag.coverage(input_file, interval_file, output_file, scale_factor=1.0, min_length=None, max_length=None, normalize=False, intersect_policy='midpoint', quality_threshold=30, workers=1, verbose=False, reference_file=None)[source]¶
Estimate fragment coverage over every interval in a BED file.
- Parameters:
input_file (str or pysam handle) – BAM/CRAM/fragment input.
interval_file (str) – BED4 file of intervals.
output_file (str) – Output BED/.bedgraph/.bed.gz path, or
"-"for stdout.Nonesuppresses file output and only returns results.scale_factor (float, optional) – Multiplier applied to coverage values (default 1.0).
min_length (int, optional) – Fragment-length filter.
max_length (int, optional) – Fragment-length filter.
normalize (bool, optional) – Divide
scale_factorby the genome-wide coverage before scaling.intersect_policy ({"midpoint", "any"}, optional) – Region-membership policy (default
"midpoint").quality_threshold (int, optional) – Minimum mapping quality (default 30).
workers (int, optional) – Worker-process count (default 1).
verbose (bool or int, optional) – Print timing/config information.
reference_file (str or Path, optional) – Reference genome (required for CRAM).
- Returns:
Scaled coverage for each interval.
- Return type:
- finaletoolkit.frag.single_coverage(input_file, contig=None, start=0, stop=None, name='.', min_length=None, max_length=None, intersect_policy='midpoint', quality_threshold=30, verbose=False, reference_file=None)[source]¶
Estimate fragment coverage over a single region.
Counts fragments (per
intersect_policy) falling incontig:[start, stop). Not suitable when fragment sizes approach the region size.- Parameters:
input_file (str or pysam handle) – BAM/CRAM/fragment input.
contig (str, optional) – Contig name.
start (int, optional) – 0-based start (default 0).
stop (int, optional) – 1-based stop (default: end of contig).
name (str, optional) – Interval name (
'.'ifNone).min_length (int, optional) – Fragment-length filter.
max_length (int, optional) – Fragment-length filter.
intersect_policy ({"midpoint", "any"}, optional) – Region-membership policy (default
"midpoint").quality_threshold (int, optional) – Minimum mapping quality (default 30).
reference_file (str or Path, optional) – Reference genome (required for CRAM).
- Returns:
(contig, start, stop, name, coverage).- Return type:
Fragment length¶
- finaletoolkit.frag.frag_length(input_file, contig=None, start=None, stop=None, intersect_policy='midpoint', output_file=None, quality_threshold=30, verbose=False, reference_file=None)[source]¶
Return an array of fragment lengths from an alignment/fragment file.
- Parameters:
input_file (str, AlignmentFile, or TabixFile) – BAM, CRAM, or tabix-indexed fragment file (or open pysam handle).
contig (str, optional) – Restrict to this contig.
start (int, optional) – 0-based left-most coordinate of the interval.
stop (int, optional) – 1-based right-most coordinate of the interval.
intersect_policy ({"midpoint", "any"}, optional) – Region-membership policy (default
"midpoint").output_file (str, optional) –
.binwrites a raw binary array;"-"writes one length per line to stdout.quality_threshold (int, optional) – Minimum mapping quality (default 30).
verbose (bool, optional) – Print timing information.
reference_file (str or Path, optional) – Reference genome (required for CRAM).
- Returns:
int32array of fragment lengths.- Return type:
- finaletoolkit.frag.frag_length_bins(input_file, contig=None, start=None, stop=None, min_length=0, max_length=None, bin_size=1, output_file=None, intersect_policy='midpoint', quality_threshold=30, summary_stats=False, short_fraction=None, histogram_path=None, verbose=False, reference_file=None)[source]¶
Bin fragment lengths and optionally write a TSV table or histogram.
- Parameters:
input_file (str, AlignmentFile, or TabixFile) – BAM/CRAM/fragment input.
contig (str, optional) – Restrict to this contig (genome-wide if omitted).
start (int, optional) – Interval bounds (require
contig).stop (int, optional) – Interval bounds (require
contig).min_length (int, optional) – Fragment-length filter applied before binning.
max_length (int, optional) – Fragment-length filter applied before binning.
bin_size (int, optional) – Bin width in bp (default 1).
output_file (str, optional) – TSV/.gz path, or
"-"for stdout.intersect_policy ({"midpoint", "any"}, optional) – Region-membership policy.
quality_threshold (int, optional) – Minimum mapping quality (default 30).
summary_stats (bool, optional) – Append summary statistics as
#-comment lines to the TSV.short_fraction (int, optional) – If set, add a short-fraction statistic (fragments
<=this length).histogram_path (str, optional) – If set, also render a histogram PNG here.
verbose (bool or int, optional) – Print timing/config information.
reference_file (str or Path, optional) – Reference genome (required for CRAM).
- Returns:
bins (numpy.ndarray) – Bin lower bounds.
counts (list of int) – Fragment count per bin (same length as
bins).
- Return type:
- finaletoolkit.frag.frag_length_intervals(input_file, interval_file, output_file=None, min_length=0, max_length=None, quality_threshold=30, intersect_policy='midpoint', short_reads=150, workers=1, verbose=False, reference_file=None)[source]¶
Compute per-interval fragment-length statistics over a BED file.
- Parameters:
input_file (str or AlignmentFile) – BAM/CRAM/fragment input.
interval_file (str) – BED file of intervals.
output_file (str, optional) – BED/.gz path or
"-"for stdout.min_length (int, optional) – Fragment-length filter.
max_length (int, optional) – Fragment-length filter.
quality_threshold (int, optional) – Minimum mapping quality (default 30).
intersect_policy ({"midpoint", "any"}, optional) – Region-membership policy.
short_reads (int, optional) – Short-read length cutoff for the short fraction (default 150).
workers (int, optional) – Worker-process count (default 1).
verbose (bool or int, optional) – Print timing/config information.
reference_file (str or Path, optional) – Reference genome (required for CRAM).
- Returns:
One record per interval (
contig, start, stop, name, mean, median, stdev, min, max, count, frac_short_reads).- Return type:
- class finaletoolkit.frag.FragLengthStats(contig, start, stop, name, mean, median, stdev, minimum, maximum, count, frac_short_reads)[source]¶
Fragment-length summary statistics over one interval.
A named tuple: it unpacks and indexes like a plain tuple and also exposes named fields. Intervals with no fragments report
-1for every numeric field.- Parameters: