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GitHub - bcbio/bcbio-nextgen: Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis - bcbio/bcbio-nextgen
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GitHub - bcbio/bcbio-nextgen: Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

GitHub - bcbio/bcbio-nextgen: Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

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Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis. You write a high level configuration file specifying your inputs and analysis parameters. This input drives a parallel run that handles distributed execution, idempotent processing restarts and safe transactional steps. bcbio provides a shared community resource that handles the data processing component of sequencing analysis, providing researchers with more time to focus on the downstream biology.

NOTE!!!! Please read the notice of discontinuation of this project - 08-16-2024


Build Status Documentation status DOI

Features

Quick start

  1. Install bcbio-nextgen with all tool dependencies and data files:

    wget https://raw.githubusercontent.com/bcbio/bcbio-nextgen/master/scripts/bcbio_nextgen_install.py
    python bcbio_nextgen_install.py /usr/local/share/bcbio --tooldir=/usr/local \
          --genomes hg38 --aligners bwa --aligners bowtie2
    

    producing an editable system configuration file referencing the installed software, data and system information.

  2. Automatically create a processing description of sample FASTQ and BAM files from your project, and a CSV file of sample metadata:

    bcbio_nextgen.py -w template freebayes-variant project1.csv sample1.bam sample2_1.fq sample2_2.fq
    

    This produces a sample description file containing pipeline configuration options.

  3. Run analysis, distributed across 8 local cores:

    cd project1/work
    bcbio_nextgen.py ../config/project1.yaml -n 8
    

Documentation

See the full documentation and longer analysis-based articles. We welcome enhancements or problem reports using GitHub and discussion on the biovalidation mailing list.

Contributors

License

The code is freely available under the MIT license.

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