From 59ce62e5ffb41d804fe2134046c326547c728641 Mon Sep 17 00:00:00 2001 From: Victor Lin <13424970+victorlin@users.noreply.github.com> Date: Wed, 23 Mar 2022 14:30:20 -0700 Subject: [PATCH] [wip] Add tutorials --- .../dataset-custom-data-highlighted.png | Bin 0 -> 400797 bytes docs/src/images/dataset-custom-data.png | Bin 0 -> 397206 bytes docs/src/images/dataset-example-data.png | Bin 0 -> 255158 bytes .../images/gisaid-augur-pipeline-download.png | Bin 0 -> 42540 bytes docs/src/images/gisaid-epicov-search.png | Bin 0 -> 81358 bytes ...aid-select-sequences-idaho-highlighted.png | Bin 0 -> 342191 bytes .../images/gisaid-select-sequences-idaho.png | Bin 0 -> 337296 bytes docs/src/images/gisaid-select-sequences.png | Bin 0 -> 310156 bytes docs/src/tutorial/custom-data.rst | 157 ++++++++++++++++ docs/src/tutorial/example-data.rst | 93 ++++++++++ docs/src/tutorial/genomic-surveillance.rst | 174 ++++++++++++++++++ docs/src/tutorial/index.rst | 3 + 12 files changed, 427 insertions(+) create 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The reference data will serve as background context for the new data. + +.. contents:: Table of Contents + :local: + +Prerequisites +------------- + +1. :doc:`example-data`. These instructions will set up the command line environment used in this tutorial. +2. You have a GISAID account. `Register `__ if you do not have an account yet. However, registration may take a few days. Follow `alternative data preparation methods <../guides/data-prep.html>`__ in place of **Curate data from GISAID** if you wish to continue this tutorial in the meantime. + +Setup +----- + +If you are not already there, change directory to the ``ncov`` directory: + + .. code:: text + + cd ncov + +Curate data from GISAID +----------------------- + +We will retrieve 10 sequences from GISAID's EpiCoV database. + +1. Navigate to `GISAID `__ and select **Login**. + + .. image:: ../images/gisaid-homepage.png + :width: 400 + :alt: GISAID login link + +2. Login to your GISAID account. + + .. image:: ../images/gisaid-login.png + :width: 200 + :alt: GISAID login + +3. In the top left navigation bar, select **EpiCoV** then **Search**. + + .. image:: ../images/gisaid-epicov-search.png + :width: 400 + :alt: GISAID EpiCoV Search + +4. Select the first 10 sequences. + + .. image:: ../images/gisaid-select-sequences.png + :width: 700 + :alt: GISAID EpiCoV Search + +5. Select **Download** in the bottom right of the search results. +6. Select **Input for the Augur pipeline** as the download format. + + .. image:: ../images/gisaid-augur-pipeline-download.png + :width: 400 + :alt: GISAID EpiCoV Search + + .. note:: + + You may see different download options, but it is fine as long as **Input for the Augur pipeline** is available. + +7. Select **Download**. +8. Download/move the ``.tar`` file into the ``ncov/data/`` directory. +9. Extract by opening the downloaded ``.tar`` file in your file explorer. It contains two files: one ending with ``.metadata.tsv`` and another with ``.sequences.fasta``. +10. Rename the files as ``custom.metadata.tsv`` and ``custom.sequences.fasta``. + +Run the workflow +---------------- + +From within the ``ncov/`` directory, run the ``ncov`` workflow using a pre-written ``--configfile``: + +.. code:: text + + nextstrain build . --cores all --configfile ncov-tutorial/custom-data.yaml + +Break down the command +~~~~~~~~~~~~~~~~~~~~~~ + +The workflow can take several minutes to run. While it is running, you can investigate the contents of ``custom-data.yaml`` (comments excluded): + +.. code-block:: yaml + + inputs: + - name: reference_data + metadata: https://data.nextstrain.org/files/ncov/open/reference/metadata.tsv.xz + sequences: https://data.nextstrain.org/files/ncov/open/reference/sequences.fasta.xz + - name: custom_data + metadata: data/custom.metadata.tsv + sequences: data/custom.sequences.fasta + + refine: + root: "Wuhan-Hu-1/2019" + + builds: + custom-build: + title: "Build with custom data and example data" + subsampling_scheme: all + auspice_config: ncov-tutorial/auspice-config-custom-data.json + +This is the same as the previous file, with some additions: + +1. A second input for the custom data, referencing the metadata and sequences files downloaded from GISAID. +2. A ``builds`` section that defines one output :term:`docs.nextstrain.org:dataset` using: + + 1. A custom name ``custom-build`` + 2. A custom title ``Build with custom data and example data`` + 3. A pre-defined subsampling scheme ``all`` (TODO: add doc link) + 4. An Auspice config file with the contents: + + .. code-block:: json + + { + "colorings": [ + { + "key": "custom_data", + "title": "Custom data", + "type": "categorical" + } + ], + "display_defaults": { + "color_by": "custom_data" + } + } + + This JSON does two things: + + 1. Create a new coloring ``custom_data`` which reflects a special metadata column generated by the ncov workflow. Each data input produces a new final metadata column with categorical values ``yes`` or ``no`` representing whether the sequence was from the input. + 2. Set the default Color By as the new ``custom_data`` coloring. + + .. note :: + + **Build** is a widely used term with various meanings. In the context of the ncov workflow, the ``builds:`` section defines output :term:`datasets ` to be generated by the workflow (i.e. "build" a dataset). + +Visualize the results +--------------------- + +Run this command to start the :term:`docs.nextstrain.org:Auspice` server, providing ``auspice/`` as the directory containing output dataset files: + +.. code:: text + + nextstrain view auspice/ + +Navigate to ``http://127.0.0.1:4000/ncov/custom-build``. The resulting :term:`docs.nextstrain.org:dataset` should have similar phylogeny to the previous dataset, with additional sequences: + +.. figure:: ../images/dataset-custom-data-highlighted.png + :alt: Phylogenetic tree from the "custom data" tutorial as visualized in Auspice + + +1. The custom dataset name ``custom-build`` can be seen in the dataset selector, as well as the dataset URL. +2. The custom dataset title can be seen at the top of the page. +3. The custom coloring is used by default. You can see which sequences are from the custom data added in this tutorial. + + .. note:: + + You may not see all 10 custom sequences - some can be filtered out due to quality checks built into the ncov workflow. diff --git a/docs/src/tutorial/example-data.rst b/docs/src/tutorial/example-data.rst new file mode 100644 index 000000000..cafa0e499 --- /dev/null +++ b/docs/src/tutorial/example-data.rst @@ -0,0 +1,93 @@ +Run the workflow using example data +=================================== + +The aim of this first tutorial is to introduce our SARS-CoV-2 workflow. +To do this, we will run the workflow using a small set of reference data which we provide. +This tutorial leads on to subsequent tutorials where we will walk through more complex scenarios. + +.. contents:: Table of Contents + :local: + +Prerequisites +------------- + +1. :doc:`setup`. These instructions will install all of the software you need to complete this tutorial and others. + +Setup +----- + +1. Activate the ``nextstrain`` conda environment: + + .. code:: text + + conda activate nextstrain + +2. Change directory to the ``ncov`` directory: + + .. code:: text + + cd ncov + +3. Download the example tutorial repository into a new directory ``ncov-tutorial/``: + + .. code:: text + + git clone https://github.com/nextstrain/ncov-tutorial + +Run the workflow +---------------- + +From within the ``ncov/`` directory, run the ``ncov`` workflow using a configuration file provided in the tutorial directory: + +.. code:: text + + nextstrain build . --cores all --configfile ncov-tutorial/example-data.yaml + +Break down the command +~~~~~~~~~~~~~~~~~~~~~~ + +The workflow can take several minutes to run. While it is running, you can learn about the parts of this command: + +- ``nextstrain build .`` + - This tells the :term:`docs.nextstrain.org:Nextstrain CLI` to :term:`build ` the workflow from ``.``, the current directory. All subsequent command-line parameters are passed to the workflow manager, Snakemake. +- ``--cores all`` + - This required Snakemake parameter specifies the number of CPU cores to use (`more info `_). +- ``--configfile ncov-tutorial/example-data.yaml`` + - ``--configfile`` is another Snakemake parameter used to configure the ncov workflow. + - ``ncov-tutorial/example-data.yaml`` is a YAML file which provides custom workflow configuration including inputs and outputs. Contents with comments excluded: + + .. code-block:: yaml + + inputs: + - name: reference_data + metadata: https://data.nextstrain.org/files/ncov/open/reference/metadata.tsv.xz + sequences: https://data.nextstrain.org/files/ncov/open/reference/sequences.fasta.xz + + refine: + root: "Wuhan-Hu-1/2019" + + This provides the workflow with one input named ``reference_data``, which is a small dataset maintained by the Nextstrain team. The metadata and sequences files are downloaded directly from the associated URLs. `See the complete list of SARS-CoV-2 datasets we provide through data.nextstrain.org `_. + + The ``refine`` entry specifies the root sequence for the example GenBank data. + + For more information, visit `the complete configuration guide <../reference/configuration.html>`_. + +The workflow output produces a new directory ``auspice/`` containing a file ``ncov_default-build.json``, which will be visualized in the following section. The workflow also produces intermediate files in a new ``results/`` directory. + +Visualize the results +--------------------- + +Run this command to start the :term:`docs.nextstrain.org:Auspice` server, providing ``auspice/`` as the directory containing output dataset files: + +.. code:: text + + nextstrain view auspice/ + +Navigate to ``http://127.0.0.1:4000/ncov/default-build``. The resulting :term:`docs.nextstrain.org:dataset` should show a phylogeny of ~200 sequences: + +.. figure:: ../images/dataset-example-data.png + :alt: Phylogenetic tree from the "example data" tutorial as visualized in Auspice + +.. note:: + + You can also view the results by dragging the file ``auspice/ncov_default-build.json`` onto `auspice.us `__. diff --git a/docs/src/tutorial/genomic-surveillance.rst b/docs/src/tutorial/genomic-surveillance.rst new file mode 100644 index 000000000..6f23791d4 --- /dev/null +++ b/docs/src/tutorial/genomic-surveillance.rst @@ -0,0 +1,174 @@ +Run the workflow using a genomic surveillance configuration +=========================================================== + +In this tutorial, you will replace the custom data with meaningful focal data and use a configuration commonly found in genomic surveillance applications. + +.. contents:: Table of Contents + :local: + +Prerequisites +------------- + +1. :doc:`custom-data`. These instructions will introduce the workflow configuration that is modified in this tutorial. +2. You have a GISAID account. `Register `__ if you do not have an account yet. However, registration may take a few days. Follow `alternative data preparation methods <../guides/data-prep.html>`__ in place of **Curate data from GISAID** if you wish to continue this tutorial in the meantime. + +Setup +----- + +If you are not already there, change directory to the ``ncov`` directory: + + .. code:: text + + cd ncov + +Curate data from GISAID +----------------------- + +We will download a focal set of Idaho sequences from GISAID's EpiCoV database. + +1. Navigate to `GISAID `__, **Login**, and go to **EpiCoV** > **Search**. + + .. image:: ../images/gisaid-epicov-search.png + :width: 400 + :alt: GISAID EpiCoV Search + +2. Filter to sequences that pass the following criteria: + + 1. From Idaho + 2. Collected within the last month (between ``2022-02-15`` and ``2022-03-15`` at the time of writing) + 3. Has a complete genome + 4. Has an exact collection date + + .. image:: ../images/gisaid-select-sequences-idaho-highlighted.png + :width: 700 + :alt: GISAID EpiCoV Search + + .. note:: + + If your selection has more than 200 sequences, adjust the minimum date until it has 200 sequences or less. This ensures the tutorial does not take too long to run. + +3. Select the topmost checkbox in the first column to select all sequences that match the filters. +4. Select **Download** > **Input for the Augur pipeline** > **Download**. +5. Download/move the ``.tar`` file into the ``ncov/data/`` directory. +6. Extract by opening the downloaded ``.tar`` file in your file explorer. It contains two files: one ending with ``.metadata.tsv`` and another with ``.sequences.fasta``. +7. Rename the files as appropriate, for example ``idaho.metadata.tsv`` and ``idaho.sequences.fasta``. + +Run the workflow +---------------- + +From within the ``ncov/`` directory, run the ``ncov`` workflow using a pre-written ``--configfile``: + +.. code:: text + + nextstrain build . --cores all --configfile ncov-tutorial/genomic-surveillance.yaml + +Break down the command +~~~~~~~~~~~~~~~~~~~~~~ + +The workflow can take several minutes to run. While it is running, you can investigate the contents of ``genomic-surveillance.yaml`` (comments excluded): + +.. code-block:: yaml + + inputs: + - name: reference_data + metadata: https://data.nextstrain.org/files/ncov/open/reference/metadata.tsv.xz + aligned: https://data.nextstrain.org/files/ncov/open/reference/aligned.fasta.xz + - name: custom_data + metadata: data/idaho.metadata.tsv + sequences: data/idaho.sequences.fasta + - name: background_data + metadata: https://data.nextstrain.org/files/ncov/open/north-america/metadata.tsv.xz + aligned: https://data.nextstrain.org/files/ncov/open/north-america/aligned.fasta.xz + + refine: + root: "Wuhan-Hu-1/2019" + + builds: + idaho: + title: "Idaho-specific genomic surveillance build" + subsampling_scheme: idaho_scheme + auspice_config: ncov-tutorial/auspice-config-custom-data.json + + subsampling: + idaho_scheme: + custom_sample: + query: --query "(custom_data == 'yes')" + max_sequences: 5000 + usa_context: + query: --query "(custom_data != 'yes') & (country == 'USA')" + max_sequences: 1000 + group_by: division year month + priorities: + type: proximity + focus: custom_sample + global_context: + query: --query "(custom_data != 'yes')" + max_sequences: 1000 + priorities: + type: proximity + focus: custom_sample + +This is similar to the previous file. Differences are outlined below, broken down per configuration section. + +inputs +****** + +1. The file paths in the second input are changed to ``idaho.metadata.tsv`` and ``idaho.sequences.fasta``. +2. There is an additional input ``background_data`` for a regional North America dataset built by the Nextstrain team, for additional context. + +builds +****** + +The output dataset is renamed ``idaho``, representative of the new custom data in the second input. + +1. The title is updated. +2. There is a new entry ``subsampling_scheme: idaho_scheme``. This is described in the following section. + +subsampling +*********** + +This is a new section that provides a subsampling scheme ``idaho_scheme`` consisting of three subsamples: + +1. ``custom_sample`` + + - This selects sequences from the ``custom_data`` input, up to a maximum of 5000 sequences. + +2. ``usa_context`` + + - This selects sequences from the ``background_data`` input, up to a maximum of 1000 sequences. + - Sequences are subsampled evenly across all combinations of ``division``, ``year``, ``month``, with sequences genetically similar to ``custom_sample`` prioritized over other sequences. + +3. ``global_context`` + + - This selects sequences from the ``reference_data`` input. + +Visualize the results +--------------------- + +Run this command to start the :term:`docs.nextstrain.org:Auspice` server, providing ``auspice/`` as the directory containing output dataset files: + +.. code:: text + + nextstrain view auspice/ + +Navigate to ``http://127.0.0.1:4000/ncov/idaho``. The resulting :term:`docs.nextstrain.org:dataset` should have similar phylogeny to the previous dataset, with additional sequences: + +*TODO: add screenshot here* + +Customize this example +---------------------- + +Instead of an Idaho-focused genomic surveillance workflow, you can provide your own data for the ``custom_data`` input. Follow the same steps for GISAID download but select your own set of sequences and rename your ``metadata.tsv`` and ``sequences.fasta`` files accordingly. + + .. note:: + + Workflow run time increases with the number of sequences, and the GISAID web interface has a maximum of 5,000 sequences per download. + +Then, use the following steps to customize names, titles, and context: + +1. Change the ``custom_data`` input filenames from ``idaho.metadata.tsv`` and ``idaho.sequences.fasta`` to your own. +2. Change the regional input dataset from North America to an appropriate region for your custom focal data. `See the complete list of available URLs `_. +3. Rename the output dataset from ``idaho`` to your own. Note the name restrictions. +4. Rename the subsampling scheme from ``idaho_scheme`` to your own. Note the name restrictions. +5. Reword the output dataset title to your own. +6. Rename the ``usa_context`` sample and update the ``query`` accordingly. diff --git a/docs/src/tutorial/index.rst b/docs/src/tutorial/index.rst index b5a89a97b..f195fe0a5 100644 --- a/docs/src/tutorial/index.rst +++ b/docs/src/tutorial/index.rst @@ -9,4 +9,7 @@ Tutorial intro setup + example-data + custom-data + genomic-surveillance running

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