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ZENODO
Software . 2017
Data sources: Datacite
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ZENODO
Software . 2017
Data sources: ZENODO
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broadinstitute/viral-ngs: v1.14.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 Jan 2017Publisher:Zenodo
Authors: Tomkins-Tinch, Christopher; Ye, Simon; Metsky, Hayden; Jungreis, Irwin; Sealfon, Rachel; Yang, Xiao; Andersen, Kristian; +2 Authors
Code repository: https://github.com/broadinstitute/viral-ngs/tree/v1.14.0

doi: 10.5281/zenodo.252549

broadinstitute/viral-ngs: v1.14.0

Abstract

A set of scripts and tools for the analysis of viral NGS data. More detailed documentation can be found at http://viral-ngs.readthedocs.org/ This includes installation instructions, usage instructions for the command line tools, and usage of the pipeline infrastructure. v1.14.0 Release Notes New: read_utils.align_and_fix() now has an option--skipMarkDupes since samtools depth can segfault if if duplicate reads are marked reports.align_and_plot_coverage() can now use Novoalign as the aligner rather the default BWA mem Fixed: align_rna memory raised to 36 GB in Snakemake pipeline metagenomics.coverage_lca() is now hardened to missing taxids Changed/Updated: For align_rna, "sensitive" option is now disabled by default for BWA mem pytest 2.9.1 -> 3.0.5

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This is an alternative to the "Influence" indicator, which also 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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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).
BIP!Influence provided by BIP!
impulse
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