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Python3 wrapper for parallelized gene prediction using Prodigal
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sjaenick/pprodigal
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PProdigal: Parallelized gene prediction based on Prodigal. This is just a small wrapper around the prodigal gene prediction program that splits input into chunks and processes them im parallel, since prodigal does not support multithreading by itself. The wrapper supports all command line parameters accepted by prodigal itself, with two additional parameters that control the parallelization: -T TASKS, --tasks TASKS number of prodigal processes to start in parallel (default: 20) -C CHUNKSIZE, --chunksize CHUNKSIZE number of input sequences to process within a chunk (default: 2000) Due to prodigal's self-training phase, chunks should be chosen sufficiently large in order to avoid suboptimal results. Availability: - PyPi: https://pypi.org/project/pprodigal/ $ pip install pprodigal - Bioconda: https://github.com/bioconda/bioconda-recipes/tree/master/recipes/pprodigal $ conda install -c conda-forge -c bioconda -c defaults pprodigal License: MIT
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Python3 wrapper for parallelized gene prediction using Prodigal
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