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broadinstitute/viral-ngs: v1.12.0

Authors: Daniel Park; Chris Tomkins-Tinch; Irwin Jungreis; Simon Ye; haydenm; Hanna; Mike Lin;

broadinstitute/viral-ngs: v1.12.0

Abstract

New: New BWA-based LCA metagenomics function: metagenomics. align_rna() Align to metagenomics bwa index, mark duplicates, and generate LCA report In Broad Snakemake pipeline, problematic nodes can now be blacklisted easy-deploy-viral-ngs.sh now supports Python 2-based conda environments (sans Snakemake), and installation of viral-ngs from local conda builds GATK_PATH (the path to the directory containing the GenomeAnalysisTK.jar file) can be specified via --GATK_PATH to functions requiring GATK NOVOALIGN_LICENSE_PATH (the path to a novoalign.lic file) can be specified via --NOVOALIGN_LICENSE_PATH to functions that make use of Novoalign Fixed: reports.rules Snakemake file fixes usage of samples-runs.txt easy-deploy-viral-ngs.sh has bugfix to remove debug lines from before the file had automated testing. Fix bug in calculating coverage when mapped bam has no reads: coverage quantiles are only reported when there are mapped reads Fix bug in tools.bwa.align_mem_one_rg() (used by reports.align_and_plot-coverage()) where input bam was removed if the file had only one RG assembly.refine_assembly more robust to empty input Changed/Updated: easy-deploy-viral-ngs.sh script now displays a shorter command prompt (modified $PS1) easy-deploy-viral-ngs.sh script now tests for 768MB RAM to account for lower ish limit on Broad systems In Snakemake pipeline, Kraken results are also now reported for cleaned reads Testing and deployment-related files can now be found in broadinstitute/viral-ngs-deploy. The files will be leaving this repository in the near-ish future pysam 0.8.3 -> 0.9.1 picard 1.141 -> 2.5.0 diamond 0.7.10 -> 0.8.22 snakemake 3.7.1 -> 3.8.2 pip packages moved to requirements-conda.txt. This mostly impacts testing, since the dependencies are listed elsewhere for the bioconda package of viral-ngs

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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