A set of simply utilities for creating summaries from standard bioinformatics formats.
All tools are distributed in a single package from our conda channel, they can be installed into an isolated conda environment with:
mamba create -n fastcat -c conda-forge -c bioconda -c nanoporetech fastcat
Although not recommended, compilation from source is via make:
make fastcat bamstats bamindex
Several libraries are assumed to be present on the system for linking.
This eponymous tool concatenates .fastq(.gz) files whilst creating a summary of the sequences. Can also demultiplex reads according to Guppy/MinKNOW .fastq record headers.
Usage: fastcat [OPTION...]
reads1.fastq(.gz) reads2.fastq(.gz) dir-with-fastq ...
fastcat -- concatenate and summarise .fastq(.gz) files.
-a, --min_length=MIN READ LENGTH
minimum read length to output (excluded reads
remain listed in summaries).
-b, --max_length=MAX READ LENGTH
maximum read length to output (excluded reads
remain listed in summaries).
-d, --demultiplex=OUT DIR Separate barcoded samples using fastq header
information. Option value is top-level output
directory.
-f, --file=FILE SUMMARY Per-file summary output
--histograms=DIRECTORY Directory for outputting histogram information.
When --demultiplex is enabled histograms are
written to per-sample demultiplexed output
directories. (default: fastcat-histograms)
-H, --reheader Rewrite fastq header comments as SAM tags (useful
for passing through minimap2).
-q, --min_qscore=MIN READ QSCOROE
minimum read Qscore to output (excluded reads
remain listed in summaries).
-r, --read=READ SUMMARY Per-read summary output
-s, --sample=SAMPLE NAME Sample name (if given, adds a 'sample_name'
column).
-x, --recurse Search directories recursively for '.fastq',
'.fq', '.fastq.gz', and '.fq.gz' files.
-?, --help Give this help list
--usage Give a short usage message
-V, --version Print program version
Mandatory or optional arguments to long options are also mandatory or optional
for any corresponding short options.
Input files may be given on stdin by specifing the input as '-'. Also accepts
directories as input and looks for .fastq(.gz) files in the top-level
directory. Recurses into sub-directories when the -x option is given. The
command will exit non-zero if any file encountered cannot be read.
The program writes the input sequences to stdout in .fastq format to be
recompressed with gzip (or more usefully bgzip).
The per-read.txt is a tab-separated file with columns:
read_id filename read_length mean_quality
SRR12447496.1 SRR12447496_1.fastq.gz 531 14.03
SRR12447496.2 SRR12447496_1.fastq.gz 513 13.91
SRR12447496.3 SRR12447496_1.fastq.gz 473 14.70
...
The mean quality is defined as:
-10 * log10(mean(10^(Q/-10)))
where Q are the set of all per-base quality scores for the read.
The per-file.txt is also a tab-separated file with columns:
filename n_seqs n_bases min_length max_length mean_quality
SRR12447496_1.fastq.gz 16048 8090160 434 697 13.10
SRR12447498_1.fastq.gz 16203 8049713 421 697 13.25
SRR12447499_1.fastq.gz 15484 7812439 424 612 13.16
...
where the mean_quality column is the mean of the per-read mean_quality values.
Additionally as its a common thing to want to do, the program will write the two files:
length.hist- read length histogram, andquality.hist- read mean base-quality score histogram.
When data is demultiplexed one such file will be written to the demultiplexed
samples' directories. When demultiplexing is not enabled the files will be
placed in a directory according to the --histograms option. The format of the
histogram files is a tab-separated file of sparse, ordered intervals [lower, uppper):
lower upper count
The final bin may be unbounded, which is signified by a 0 entry for the upper
bin edge.
The bamstats utility is a re-implementation of the stats_from_bam program
from pomoxis. It creates read-level summary
statistics of alignments found in a BAM file and reports these in a TSV file.
Additionally as its a common thing to want to do, the program will write the four files:
length.hist- read length histogram,quality.hist- read mean base-quality score histogram,accuracy.hist- read alignment accuracy histogram, andcoverage.hist- read alignment coverage histogram.
These files are as described for the fastcat program.
Usage: bamstats [OPTION...] <reads.bam>
bamstats -- summarise rears/alignments in one or more BAM files.
General options:
-f, --flagstats=FLAGSTATS File for outputting alignment flag counts.
--histograms=DIRECTORY Directory for outputting histogram information.
(default: bamstats-histograms)
-r, --region=chr:start-end Genomic region to process.
-s, --sample=SAMPLE NAME Sample name (if given, adds a 'sample_name'
column).
-t, --threads=THREADS Number of threads for BAM processing.
Read filtering options:
-g, --read_group=RG Only process reads from given read group.
--haplotype=VAL Only process reads from a given haplotype.
Equivalent to --tag_name HP --tag_value VAL.
--tag_name=TN Only process reads with a given tag (see
--tag_value).
--tag_value=VAL Only process reads with a given tag value.
-u, --unmapped Include unmapped/unplaced reads in output.
-?, --help Give this help list
--usage Give a short usage message
-V, --version Print program version
Mandatory or optional arguments to long options are also mandatory or optional
for any corresponding short options.
The program creates a simple TSV file containing statistics for each primary
alignment stored within the input BAM files.
The bamstats output is a tab-separated text file with columns as in the table
below. The q prefix to columns names relates to the so-called "query"
sequence, i.e. the sequencing read. The r prefix relates to the reference
sequence. Not all column names where properties are quoted for both the query
and reference follow this convention; this is an unfortunate historical wart.
All coordinates are given as zero-based, end exclusive. In sequence alignment jargon the term "match" means any a pair of bases (one each from the query and reference) which are aligned to each other. The term does not convey its common English meaning that the two bases have the same identity. An 'A' base from the query can match (be aligned to) a 'C' base from the reference.
| index | name | description |
|---|---|---|
| 1 | name |
Read identifier (column 1 from a SAM file). |
| 2 | runid |
Sequencing run identifier (from the RD tag of the SAM record). |
| 3 | sample_name |
Sample name (optional, provided as input by the user). |
| 4 | ref |
Reference sequence name (column 3 from a SAM file). |
| 5 | coverage |
Proportion of read spanned by the alignment. |
| 6 | ref_coverage |
Proportion of reference spanned by the alignment. |
| 7 | qstart |
Alignment start coordinate on the query (tantamount to the total left-hand clipping in SAM terminology). |
| 8 | qend |
Alignment end coordinate on the query (see qstart). |
| 9 | rstart |
Alignment start coordinate on the reference (column 4 of SAM). |
| 10 | rend |
Alignment end coordinate on the reference. |
| 11 | aligned_ref_len |
Length of alignment on reference (simply rend - rstart). |
| 12 | direction |
Alignment direction. + for forward reference sequence, - for reverse complement. |
| 13 | length |
Total length of the alignment including all insertions. |
| 14 | read_length |
Length of query sequence (as stored in the input file). |
| 15 | mean_quality |
Mean per-base quality of the query sequence expressed on Phred scale. See discussion in fastcat section above. |
| 16 | start_time |
Sequencing start time for the read (from the ST tag of the SAM record). |
| 17 | match |
Number of matches in the alignment (see description above). |
| 18 | ins |
Number of inserted bases in alignment. |
| 19 | del |
Number of deleted bases in alignment. |
| 20 | sub |
Number of substitutions (mismatches) in alignment. |
| 21 | iden |
Proportion of matches which are not mismatches: (match - sub) / match. |
| 22 | acc |
Alignment accuracy: (length - ins - del - sub) / length. Sometimes also referred to as BLAST-identity. |
| 23 | duplex |
Whether the read was simplex (0), duplex (1), or duplex-forming (-1). See dorado documentation. |
The bamindex program is a rather curious program that will create a positional index
of alignments in a BAM file. It is intended to be used within workflows to allow
parallel processing of records in a BAM file, each worker processing a contiguous chunk
of the file. This is most useful with unaligned BAM files.
The program was insired by bri by Jared Simpson at OICR; which is far cooler.
There are three subcommands:
bamindex index
$ ./bamindex build --help
Usage: build [OPTION...] <reads.bam>
bamindex build -- create a BAM index corresponding to batches of records.
General options:
-c, --chunk_size=SIZE Number of records in a chunk.
-t, --threads=THREADS Number of threads for BAM processing.
-?, --help Give this help list
--usage Give a short usage message
-V, --version Print program version
Mandatory or optional arguments to long options are also mandatory or optional
for any corresponding short options.
The program creates a simple index of file offsets for each of every (n * M)th
alignment record. No care is taken to keep records corresponding to the same
query together, or any other such niceities. Its intended to be used simply
with unaligned, unsorted BAMs.
bamindex fetch
$ ./bamindex fetch --help
Usage: fetch [OPTION...] <reads.bam.bci>
bamindex fetch -- fetch records from a BAM according to an index.
General options:
-c, --chunk=SIZE Chunk index to retrieve.
-t, --threads=THREADS Number of threads for BAM processing.
-?, --help Give this help list
--usage Give a short usage message
-V, --version Print program version
Mandatory or optional arguments to long options are also mandatory or optional
for any corresponding short options.
The program simply will fetch a batch of records from a BAM fileusing and index
and a chunk ID.
bamindex dump
$ ./bamindex dump --help
Usage: dump [OPTION...] <reads.bam.bci>
bamindex dump -- dump a BAM chunk index to stdout as text.
-?, --help Give this help list
--usage Give a short usage message
-V, --version Print program version
The program simply writes the contents of an index to stdout for human
inspection. It has no other purpose.
