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‎CITATION.cff

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@@ -5,7 +5,7 @@ title: 'NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-
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authors:
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- family-names: Coelho
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given-names: Luis Pedro
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orcid: http://orcid.org/0000-0002-9280-7885
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orcid: https://orcid.org/0000-0002-9280-7885
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- family-names: Alves
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given-names: Renato
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orcid: null

‎NGLess/Citations.hs

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nglessCitation :: T.Text
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nglessCitation =
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"Coelho, L.P., Alves, R., Monteiro, P., Huerta-Cepas, J., Freitas, A.T., and Bork, P., NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8"
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"Coelho, L.P., Alves, R., Monteiro, P., Huerta-Cepas, J., Freitas, A.T., and Bork, P., NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8"
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collectCitations :: [Module] -> Script -> [T.Text]

‎docs/presentations/ngless.html

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<html>
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<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js"></script>
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js"></script>
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<script src="https://rawgithub.com/markdalgleish/fathom/master/fathom.min.js" type="text/javascript"></script>
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<link href="https://raw.github.com/markdalgleish/fathom/master/fathom.sample.css" rel="stylesheet"/>
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<style>

‎docs/sources/Functions.rst

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The ``functional_map`` should be a tab-separated file where the first column is
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the sequence name and the other columns are the annotations. This is often used
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for gene catalogues and can be produced by `eggnog-mapper
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<http://eggnog-mapper.embl.de/>`__.
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<https://eggnog-mapper.embl.de/>`__.
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``features``: which features to count. If a GFF file is used, this refers to
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the "features" field.

‎docs/sources/Makefile

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# User-friendly check for sphinx-build
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ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1)
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$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
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$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from https://sphinx-doc.org/)
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endif
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# Internal variables.

‎docs/sources/Mapping.rst

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Mapping is one of the major functions of NGLess. Here we describe, in more
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detail, some of its functionality.
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Mapping is implemented using `bwa <http://bio-bwa.sourceforge.net/>`__. As of
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Mapping is implemented using `bwa <https://bio-bwa.sourceforge.net/>`__. As of
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version 1.4, NGLess uses *bwa 0.7.17* by default.
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By default, bwa is called with default parameters. If the ``mode_all`` argument

‎docs/sources/Organisms.rst

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+-----------+-----------------------------+-------------------+---------+
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These archives are all created using versions 75, 85 and 90 of `Ensembl
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<http://www.ensembl.org/>`__.
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<https://www.ensembl.org/>`__.
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Automatic installation
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----------------------

‎docs/sources/_static/gut-metagenomics-tutorial-presentation/gut_specI_tutorial.html

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# Metagenomics analysis with NGLess
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[Luis Pedro Coelho](http://luispedro.org)
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[Luis Pedro Coelho](https://luispedro.org)
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[@luispedrocoelho](https://twitter.com/luispedrocoelho)
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‎docs/sources/command-line-wrappers.md

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All of the wrappers can install NGLess if passed the `--auto-install` flag.
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All of these wrappers also have [Common Workflow
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Language](http://www.commonwl.org/) so that they can be used in larger
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Language](https://www.commonwl.org/) so that they can be used in larger
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pipelines.
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## ngless-install.py

‎docs/sources/configuration.rst

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``strict-threads``: by default, NGLess will, in certain conditions, use more
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CPUs than specified by the ``jobs`` argument (in bursts of activity). This
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happens, for example, when it calls an external short-read-mapper (such as `bwa
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<http://bio-bwa.sourceforge.net/bwa.shtml>`__). By default, it will pass the
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<https://bio-bwa.sourceforge.net/bwa.shtml>`__). By default, it will pass the
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threads argument through to ``bwa``. However, it will still be processing
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``bwa``'s output using its own threads. This will results in small bursts of
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activity where the CPU usage is above ``jobs``. If you specify

‎docs/sources/faq.md

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More advanced extensions can be done in Haskell, but this is considered a
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solution for advanced users.
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## Couldn't you just use Docker/[Bioboxes](http://bioboxes.org/)?
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## Couldn't you just use Docker/[Bioboxes](https://bioboxes.org/)?
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Short answer: Bioboxes gets us part of the way there, but not all of it;
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however, if we think of these technologies as complements, we might get more
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makes a mistake (and all users will make mistakes), we can diagnose it faster
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and provide a better error message than is possible to do with Bioboxes.
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## What is the relationship of ngless to the [Common Workflow Language](http://common-workflow-language.github.io/)?
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## What is the relationship of ngless to the [Common Workflow
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Language](https://common-workflow-language.github.io/)?
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Like for the question above, we consider ngless to be related to but not
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overlapping with the CWL (Common Workflow Language).

‎docs/sources/index.rst

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- preprocessing and quality control of FastQ files
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- mapping to a reference genome (implemented through
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`bwa <http://bio-bwa.sourceforge.net/>`__ by default)
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`bwa <https://bio-bwa.sourceforge.net/>`__ by default)
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- assembly of contigs
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- annotation and summarization of the alignments using reference gene
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annotations
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Authors
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-------
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- `Luis Pedro Coelho <http://luispedro.org>`__ (email: coelho@embl.de)
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- `Luis Pedro Coelho <https://luispedro.org>`__ (email: coelho@embl.de)
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(on twitter: `@luispedrocoelho <https://twitter.com/luispedrocoelho>`__)
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- Paulo Monteiro
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- Renato Alves
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- `Ana Teresa Freitas <http://web.tecnico.ulisboa.pt/ana.freitas/>`__
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- `Ana Teresa Freitas <https://web.tecnico.ulisboa.pt/ana.freitas/>`__
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- Peer Bork
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‎docs/sources/install.md

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## Bioconda (binary)
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The recommended way to install NGLess is through
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[bioconda](http://bioconda.github.io):
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[bioconda](https://bioconda.github.io):
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conda install -c bioconda ngless
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‎docs/sources/preprocess.rst

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which takes a block of code. This block of code will be executed for each read.
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For example::
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ngless "0.8"
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ngless "1.4"
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input = fastq('input.fq.gz')
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method).
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You can combine these in different ways. For example, the behaviour of the
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`fastx quality trimmer <http://hannonlab.cshl.edu/fastx_toolkit/>`__ can be
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`fastx quality trimmer <https://hannonlab.cshl.edu/fastx_toolkit/>`__ can be
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‎docs/sources/tutorial-assembly-gp.rst

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.. note::
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This tutorial uses the full Ocean Microbial Reference Gene Catalog
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presented in `Structure and function of the global ocean microbiome
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<http://science.sciencemag.org/content/348/6237/1261359.long>`__ Sunagawa,
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<https://science.sciencemag.org/content/348/6237/1261359.long>`__ Sunagawa,
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Coelho, Chaffron, et al., Science, 2015
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‎docs/sources/tutorial-gut-metagenomics.rst

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.. note::
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This section of the tutorial uses the `Integrated Gene Catalogue
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<http://www.nature.com/nbt/journal/v32/n8/full/nbt.2942.html>`__ and
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<https://www.nature.com/nbt/journal/v32/n8/full/nbt.2942.html>`__ and
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requires ca. **15GiB** of RAM. Skip to step 9 if your machine does not have
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‎docs/sources/tutorial-ocean-metagenomics.rst

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.. note::
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This tutorial uses the full Ocean Microbial Reference Gene Catalog
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<http://science.sciencemag.org/content/348/6237/1261359.long>`__ Sunagawa,
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<https://science.sciencemag.org/content/348/6237/1261359.long>`__ Sunagawa,
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Coelho, Chaffron, et al., Science, 2015
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‎docs/sources/tutorial.rst

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-------
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This example will use data from a real experiment stored at EMBL-EBI. The data
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can be accessed at https://www.ebi.ac.uk/ena/data/view/SRP023199 and represent
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**HeLa cells**. The idea is to preprocess the data set, map it against the
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‎docs/sources/whatsnew.rst

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- More flexible loading of ``functional_map`` arguments in `count
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<https://ngless.embl.de/Functions.html#count>`__ to accept multiple comment
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lines at the top of the file as produced by `eggnog-mapper
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<http://eggnog-mapper.embl.de/>`__.
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<https://eggnog-mapper.embl.de/>`__.
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- Added ``sense`` argument to the `count
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<https://ngless.embl.de/Functions.html#count>`__ function, generalizing the
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‎tests/argv/expected.stdout.txt

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NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in
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Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8
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Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8
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‎tests/error-ofile-complex/expected.stdout.txt

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- Coelho, L.P., Alves, R., Monteiro, P., Huerta-Cepas, J., Freitas, A.T., and Bork, P.,
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NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in
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Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8
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Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8
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‎tests/exampleModule/expected.stdout.txt

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NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in
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Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8
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Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8
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‎tests/len_list/expected.stdout.txt

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NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in
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Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8
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Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8
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‎tests/parse_odd_corners/expected.stdout.txt

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NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in
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Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8
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Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8
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‎tests/readlines/expected.stdout.txt

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NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language. in
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Microbiome 7:84 (2019). DOI: http://doi.org/10.1186/s40168-019-0684-8
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Microbiome 7:84 (2019). DOI: https://doi.org/10.1186/s40168-019-0684-8
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