mercat2 0.1

versatile k-mer counter and diversity estimator for database independent property analysis (DIPA) for multi-omic analysis

MerCat2: python code for versatile k-mer counter and diversity estimator for database independent property analysis (DIPA) for multi-omic analysis

Dependencies

MerCat runs on python3 up to version 3.9. Some of its dependencies do not support 3.10 yet.

external dependencies

MerCat2 can run without external dependencies based on the options used.

Required dependencies:

• When a raw read .fastq file is given

  • fastqc [https://www.bioinformatics.babraham.ac.uk/projects/fastqc/]
  • fastp [https://github.com/OpenGene/fastp]

• when the -prod option is used

  • prodigal [https://github.com/hyattpd/Prodigal]

These are available through BioConda.

conda install -c bioconda fastqc fastp prodigal

Installing MerCat2

Anaconda Installer

• Available via BioConda: Enable BioConda repo and run conda install mercat2

conda install -c bioconda mercat2

PIP Installer

BioConda dependencies are not automatically installed when using pip.

pip install mercat2

Source Installer

• Clone mercat2 from github

git clone https://github.com/raw-lab/mercat2.git

• Run install_mercat2.py to install all required dependencies

Usage

• -i I path to input file
• -f F path to folder containing input files
• -k K k-mer length
• -n N no of cores [default = all]
• -c C minimum k-mer count [default = 10]
• -prod run prodigal on nucleotide assembled contigs
  • Must be one of ['.fa', '.fna', '.ffn', '.fasta', 'fastq']
• -s S split files into chunks of S size, in MB (default is 100MB)
• -o output folder (default is 'mercat_results' in the current working directory)
• -h, --help show this help message

Mercat assumes the input file format based on the extension provided

• raw fastq file: ['.fastq']
• nucleotide fasta: ['.fa', '.fna', '.ffn', '.fasta']
• amino acid fasta: ['.faa']

Usage examples

Run mercat2 on a protein file (protein fasta - '.faa')

mercat2-pipeline.py -i file-name.faa -k 3 -c 10

Run mercat2 on a nucleotide file (nucleotide fasta - '.fa', '.fna', '.ffn', '.fasta')

mercat2-pipeline.py -i file-name.fna -k 3 -n 8 -c 10

Run mercat2 on a nucleotide file raw data (nucleotide fastq - '.fastq')

mercat2-pipeline.py -i file-name.fastq -k 3 -n 8 -c 10

Run on many samples within a folder

mercat2-pipeline.py -f /path/to/input-folder -k 3 -n 8 -c 10

Run on sample with prodigal option (raw reads or nucleotide contigs - '.fa', '.fna', '.ffn', '.fasta', '.fastq')

mercat2-pipeline.py -i /path/to/input-folder -k 3 -n 8 -c 10 -prod

• the prodigal option runs the k-mer counter on both contigs and produced amino acids

Outputs

• Results are stored in the output folder (default 'mercat_results' of the current working directory)
  • the 'plots' folder contains an html report with interactive plotly figures
    • If at least 3 samples are provided a PCA plot will be included in the html report
  • the 'tsv' folder contains stats tables in tab separated format
    • if protein files are given, or the -prod option, a .tsv file is created for each sample containing k-mer count, pI, Molecular Weight, and Hydrophobicity metrics
    • if nucleotide files are given a .tsv file is created for each sample containing k-mer count and GC content
  • if .fastq raw reads files are used, a 'clean' folder is created with the clean fasta file.
  • if the -prod option is used, a 'prodigal' folder is created with the amino acid .faa and .gff files

Citing Mercat

If you are publishing results obtained using MerCat2, please cite:

CONTACT

Please send all queries to Jose Luis Figueroa III [e-mail]
Dr. Richard Allen White III [e-mail]
Or open an issue