seqcounter 1.0.0

Count how many sequencing reads (fastq) or contigs (fasta) contain each sequence of a reference file, with Seal from BBTools. Point it at a reference fasta file and a sample, or a folder of samples, and it writes one table of counts per reference sequence and per sample.

Any set of short sequences works: spoligotype spacers, marker or resistance genes, primer or probe sequences, plasmid or phage fragments, barcodes, spike-ins. seqcounter does not interpret them; it counts them, reproducibly and in the same way for reads and for assemblies.

$ seqcounter -ref refs.fasta -i samples/ -o results/
Reference   assembly  no_match  paired  single_end
absent      0         0         0       0
present     1         0         86      34
twice       1         0         154     65

Features

• Reads or assemblies: single-end or paired-end fastq, or fasta, gzipped or not. Both mates of a pair are counted, once each.
• Batch mode: point it at a folder; fastq and fasta files are found recursively and R1/R2 files paired automatically. Several samples can be counted at the same time.
• Both strands, and mismatches: a reference is found on either strand, and with up to -m mismatches per k-mer (one by default).
• Three reports: the counts table (refseqcounts.tsv, the table the first version of seqcounter wrote, with the command that produced it on its first line), a per-sample summary of how much was read and how much matched, and a JSON report with the parameters, the software versions and the counts.
• Nothing is hidden: references Seal cannot find (shorter than the k-mer size), names that would collide, and samples that failed are reported, not silently dropped. A failed sample leaves the others readable.
• Nothing to configure: no database, no index, no reference genome. Only the Python standard library, plus BBTools.
• Tested: 105 tests, 100% coverage, end to end on synthetic references, genomes and reads with known counts.

Installation

conda create -n seqcounter -c conda-forge -c bioconda bbmap python">=3.10"
conda activate seqcounter
pip install seqcounter

BBTools (which provides seal.sh) is not on PyPI, so it comes from bioconda; seqcounter itself needs nothing else. See Installation for other options, including running it from a clone with python seqcounter.py, as the first version did.

Quick start

seqcounter -ref refs.fasta -r1 sample_R1.fastq.gz -r2 sample_R2.fastq.gz -o results/  # Paired-end reads
seqcounter -ref refs.fasta -r1 sample.fastq.gz -o results/                            # Single-end reads
seqcounter -ref refs.fasta -r1 assembly.fasta -o results/                             # An assembly
seqcounter -ref refs.fasta -i samples/ -o results/ -p 4                               # A folder, 4 at a time

-ref is a fasta file of the sequences to count: each one gives a row, named after the first word of its > line. The counts are printed and saved in results/. To see it work on data with known counts, run bash examples/run_example.sh, which generates its own references and samples.

What a count is: the number of reads, or contigs, that contain the reference sequence, not the number of copies it has in them. A reference present twice in a single-contig assembly is counted once; in reads, about twice as many reads match it. See How it works.

Documentation

The wiki covers installation, usage and options, output files, how it works, troubleshooting and the FAQ.

Citing

If you use seqcounter, please cite it and BBTools, which does the counting:

Duceppe M-O. seqcounter: count the occurrences of reference sequences in sequencing reads or genome assemblies. https://github.com/duceppemo/seqcounter

Bushnell B. BBTools. https://sourceforge.net/projects/bbmap/

GitHub's "Cite this repository" button gives the citation in APA and BibTeX formats, from CITATION.cff.

Related

• spoligotyper — in silico spoligotyping of the M. tuberculosis complex. It counts the 43 spacers the way seqcounter counts any reference, and then reads them as a spoligotype, with the species, the lineage and a PDF report.
• brucetyper — in silico Bruce-ladder, Suis-ladder, AMOS and RB51 junction PCR for Brucella, from assemblies.

Contributing

Bug reports, questions and pull requests are welcome: see CONTRIBUTING.md.

Author

Marc-Olivier Duceppe, Canadian Food Inspection Agency (CFIA): marc-olivier.duceppe@inspection.gc.ca

License

MIT