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} .org-svg { width: 90%; } /*]]>*/--> </style> <link rel="Blog stylesheet" type="text/css" href="blog.css" /> <script type="text/javascript"> // @license magnet:?xt=urn:btih:e95b018ef3580986a04669f1b5879592219e2a7a&dn=public-domain.txt Public Domain <!--/*--><![CDATA[/*><!--*/ function CodeHighlightOn(elem, id) { var target = document.getElementById(id); if(null != target) { elem.classList.add("code-highlighted"); target.classList.add("code-highlighted"); } } function CodeHighlightOff(elem, id) { var target = document.getElementById(id); if(null != target) { elem.classList.remove("code-highlighted"); target.classList.remove("code-highlighted"); } } /*]]>*///--> // @license-end </script> </head> <body> <div id="content"> <h1 class="title">COVID-19 PubSeq Uploading Data (part 3)</h1> <div id="table-of-contents"> <h2>Table of Contents</h2> <div id="text-table-of-contents"> <ul> <li><a href="#org85998fd">1. Introduction</a></li> <li><a href="#orge783233">2. Uploading data</a></li> <li><a href="#orgc5810d7">3. Step 1: Upload sequence</a></li> <li><a href="#org5a4ae99">4. Step 2: Add metadata</a> <ul> <li><a href="#orga9824de">4.1. Obligatory fields</a> <ul> <li><a href="#org407fde2">4.1.1. Sample ID (sample_id)</a></li> <li><a href="#orgee3bb35">4.1.2. Collection date</a></li> <li><a href="#org123bf0c">4.1.3. Collection location</a></li> <li><a href="#org41b1f83">4.1.4. Sequencing technology</a></li> <li><a href="#org9bab62e">4.1.5. Authors</a></li> </ul> </li> <li><a href="#org7071af8">4.2. Optional fields</a> <ul> <li><a href="#org2a04fdb">4.2.1. Host information</a></li> <li><a href="#orgc4084bc">4.2.2. Collecting institution</a></li> <li><a href="#orge552325">4.2.3. Specimen source</a></li> <li><a href="#org2577e1f">4.2.4. Source database accession</a></li> <li><a href="#org0305fb3">4.2.5. Strain name</a></li> </ul> </li> </ul> </li> <li><a href="#orgdf67705">5. Step 3: Submit to COVID-19 PubSeq</a> <ul> <li><a href="#orgd33218c">5.1. Trouble shooting</a></li> </ul> </li> <li><a href="#orgbf4cd0f">6. Step 4: Check output</a></li> <li><a href="#orgc8d6fa4">7. Bulk sequence uploader</a> <ul> <li><a href="#org338ebf7">7.1. Run the uploader (CLI)</a></li> <li><a href="#org46d5e2f">7.2. Example: uploading bulk GenBank sequences</a></li> <li><a href="#orgbfc3f90">7.3. Example: preparing metadata</a></li> </ul> </li> </ul> </div> </div> <div id="outline-container-org85998fd" class="outline-2"> <h2 id="org85998fd"><span class="section-number-2">1</span> Introduction</h2> <div class="outline-text-2" id="text-1"> <p> In this document we explain how to upload data into COVID-19 PubSeq. This can happen through a web page, or through a command line script. We'll also show how to parametrize uploads by using templates. The procedure is much easier than with other repositories and can be fully automated. Once uploaded you can use our export API to prepare for other repositories. </p> </div> </div> <div id="outline-container-orge783233" class="outline-2"> <h2 id="orge783233"><span class="section-number-2">2</span> Uploading data</h2> <div class="outline-text-2" id="text-2"> <p> The COVID-19 PubSeq allows you to upload your SARS-Cov-2 strains to a public resource for global comparisons. A recompute of the pangenome gets triggered on upload. Read the <a href="./about">ABOUT</a> page for more information. </p> </div> </div> <div id="outline-container-orgc5810d7" class="outline-2"> <h2 id="orgc5810d7"><span class="section-number-2">3</span> Step 1: Upload sequence</h2> <div class="outline-text-2" id="text-3"> <p> To upload a sequence in the <a href="http://covid19.genenetwork.org/">web upload page</a> hit the browse button and select the FASTA file on your local hard disk. </p> <p> We start with an assembled or mapped sequence in FASTA format. The PubSeq uploader contains a <a href="https://github.com/arvados/bh20-seq-resource/blob/master/bh20sequploader/qc_fasta.py">QC step</a> which checks whether it is a likely SARS-CoV-2 sequence. While PubSeq deduplicates sequences and never overwrites metadata, you may still want to check whether your data already is in the system by querying some metadata as described in <a href="./blog?id=using-covid-19-pubseq-part1">Query metadata with SPARQL</a> or by simply downloading and checking one of the files on the <a href="./download">download</a> page. We find GenBank <a href="https://www.ncbi.nlm.nih.gov/nuccore/MT536190">MT536190.1</a> has not been included yet. A FASTA text file can be <a href="https://www.ncbi.nlm.nih.gov/nuccore/MT536190.1?report=fasta&log$=seqview&format=text">downloaded</a> to your local disk and uploaded through our <a href="./">web upload page</a>. Make sure the file does not include any HTML! </p> <p> Note: we currently only allow FASTA uploads. In the near future we'll allow for uploading raw sequence files. This is important for creating an improved pangenome. </p> </div> </div> <div id="outline-container-org5a4ae99" class="outline-2"> <h2 id="org5a4ae99"><span class="section-number-2">4</span> Step 2: Add metadata</h2> <div class="outline-text-2" id="text-4"> <p> The <a href="./">web upload page</a> contains fields for adding metadata. Metadata is not only important for attribution, is also important for analysis. The metadata is available for queries, see <a href="./blog?id=using-covid-19-pubseq-part1">Query metadata with SPARQL</a>, and can be used to annotate variations of the virus in different ways. </p> <p> A number of fields are obligatory: sample id, date, location, technology and authors. The others are optional, but it is valuable to enter them when information is available. Metadata is defined in this <a href="https://github.com/arvados/bh20-seq-resource/blob/master/bh20sequploader/bh20seq-schema.yml">schema</a>. From this schema we generate the input form. Note that optional fields have a question mark in the <code>type</code>. You can add metadata yourself, btw, because this is a public resource! See also <a href="./blog?id=using-covid-19-pubseq-part5">Modify metadata</a> for more information. </p> <p> To get more information about a field click on the question mark on the web form. Here we add some extra information. </p> </div> <div id="outline-container-orga9824de" class="outline-3"> <h3 id="orga9824de"><span class="section-number-3">4.1</span> Obligatory fields</h3> <div class="outline-text-3" id="text-4-1"> </div> <div id="outline-container-org407fde2" class="outline-4"> <h4 id="org407fde2"><span class="section-number-4">4.1.1</span> Sample ID (sample_id)</h4> <div class="outline-text-4" id="text-4-1-1"> <p> This is a string field that defines a unique sample identifier by the submitter. In addition to sample_id we also have host_id, provider_sample_id and submitter_sample_id where host is the host the sample came from, provider sample is the institution sample id and submitter is the submitting individual id. host_id is important when multiple sequences come from the same host. Make sure not to have spaces in the sample_id. </p> <p> Here we add the GenBank ID MT536190.1. </p> </div> </div> <div id="outline-container-orgee3bb35" class="outline-4"> <h4 id="orgee3bb35"><span class="section-number-4">4.1.2</span> Collection date</h4> <div class="outline-text-4" id="text-4-1-2"> <p> Estimated collection date. The GenBank page says April 6, 2020. </p> </div> </div> <div id="outline-container-org123bf0c" class="outline-4"> <h4 id="org123bf0c"><span class="section-number-4">4.1.3</span> Collection location</h4> <div class="outline-text-4" id="text-4-1-3"> <p> A search on wikidata says Los Angeles is <a href="https://www.wikidata.org/entity/Q65">https://www.wikidata.org/entity/Q65</a> </p> </div> </div> <div id="outline-container-org41b1f83" class="outline-4"> <h4 id="org41b1f83"><span class="section-number-4">4.1.4</span> Sequencing technology</h4> <div class="outline-text-4" id="text-4-1-4"> <p> GenBank entry says Illumina, so we can fill that in </p> </div> </div> <div id="outline-container-org9bab62e" class="outline-4"> <h4 id="org9bab62e"><span class="section-number-4">4.1.5</span> Authors</h4> <div class="outline-text-4" id="text-4-1-5"> <p> GenBank entry says 'Lamers,S., Nolan,D.J., Rose,R., Cross,S., Moraga Amador,D., Yang,T., Caruso,L., Navia,W., Von Borstel,L., Hui Zhou,X., Freehan,A. and Garcia-Diaz,J.', so we can fill that in. </p> </div> </div> </div> <div id="outline-container-org7071af8" class="outline-3"> <h3 id="org7071af8"><span class="section-number-3">4.2</span> Optional fields</h3> <div class="outline-text-3" id="text-4-2"> <p> All other fields are optional. But let's see what we can add. </p> </div> <div id="outline-container-org2a04fdb" class="outline-4"> <h4 id="org2a04fdb"><span class="section-number-4">4.2.1</span> Host information</h4> <div class="outline-text-4" id="text-4-2-1"> <p> Sadly, not much is known about the host from GenBank. A little sleuthing renders an interesting paper by some of the authors titled <a href="https://www.medrxiv.org/content/10.1101/2020.04.24.20078691v1">SARS-CoV-2 is consistent across multiple samples and methodologies</a> which dates after the sample, but has no reference other than that the raw data came from the SRA database, so it probably does not describe this particular sample. We don't know what this strain of SARS-Cov-2 did to the person and what the person was like (say age group). </p> </div> </div> <div id="outline-container-orgc4084bc" class="outline-4"> <h4 id="orgc4084bc"><span class="section-number-4">4.2.2</span> Collecting institution</h4> <div class="outline-text-4" id="text-4-2-2"> <p> We can fill that in. </p> </div> </div> <div id="outline-container-orge552325" class="outline-4"> <h4 id="orge552325"><span class="section-number-4">4.2.3</span> Specimen source</h4> <div class="outline-text-4" id="text-4-2-3"> <p> We have that: nasopharyngeal swab </p> </div> </div> <div id="outline-container-org2577e1f" class="outline-4"> <h4 id="org2577e1f"><span class="section-number-4">4.2.4</span> Source database accession</h4> <div class="outline-text-4" id="text-4-2-4"> <p> Genbank which is <a href="http://identifiers.org/insdc/MT536190.1#sequence">http://identifiers.org/insdc/MT536190.1#sequence</a>. Note we plug in our own identifier MT536190.1. </p> </div> </div> <div id="outline-container-org0305fb3" class="outline-4"> <h4 id="org0305fb3"><span class="section-number-4">4.2.5</span> Strain name</h4> <div class="outline-text-4" id="text-4-2-5"> <p> SARS-CoV-2/human/USA/LA-BIE-070/2020 </p> </div> </div> </div> </div> <div id="outline-container-orgdf67705" class="outline-2"> <h2 id="orgdf67705"><span class="section-number-2">5</span> Step 3: Submit to COVID-19 PubSeq</h2> <div class="outline-text-2" id="text-5"> <p> Once you have the sequence and the metadata together, hit the 'Add to Pangenome' button. The data will be checked, submitted and the workflows should kick in! </p> </div> <div id="outline-container-orgd33218c" class="outline-3"> <h3 id="orgd33218c"><span class="section-number-3">5.1</span> Trouble shooting</h3> <div class="outline-text-3" id="text-5-1"> <p> We got an error saying: {"stem": "<a href="http://www.wikidata.org/entity/">http://www.wikidata.org/entity/</a>",… which means that our location field was not formed correctly! After fixing it to look like <a href="http://www.wikidata.org/entity/Q65">http://www.wikidata.org/entity/Q65</a> (note http instead on https and entity instead of wiki) the submission went through. Reload the page (it won't empty the fields) to re-enable the submit button. </p> </div> </div> </div> <div id="outline-container-orgbf4cd0f" class="outline-2"> <h2 id="orgbf4cd0f"><span class="section-number-2">6</span> Step 4: Check output</h2> <div class="outline-text-2" id="text-6"> <p> The current pipeline takes 5.5 hours to complete! Once it completes the updated data can be checked on the <a href="./download">DOWNLOAD</a> page. After completion of above output this <a href="http://sparql.genenetwork.org/sparql/?default-graph-uri=&query=PREFIX+pubseq%3A+%3Chttp%3A%2F%2Fbiohackathon.org%2Fbh20-seq-schema%23MainSchema%2F%3E%0D%0APREFIX+sio%3A+%3Chttp%3A%2F%2Fsemanticscience.org%2Fresource%2F%3E%0D%0Aselect+distinct+%3Fsample+%3Fp+%3Fo%0D%0A%7B%0D%0A+++%3Fsample+sio%3ASIO_000115+%22MT536190.1%22+.%0D%0A+++%3Fsample+%3Fp+%3Fo+.%0D%0A%7D&format=text%2Fhtml&timeout=0&debug=on&run=+Run+Query+">SPARQL query</a> shows some of the metadata we put in. </p> </div> </div> <div id="outline-container-orgc8d6fa4" class="outline-2"> <h2 id="orgc8d6fa4"><span class="section-number-2">7</span> Bulk sequence uploader</h2> <div class="outline-text-2" id="text-7"> <p> Above steps require a manual upload of one sequence with metadata. What if you have a number of sequences you want to upload in bulk? For this we have a command line version of the uploader that can directly submit to COVID-19 PubSeq. It accepts a FASTA sequence file an associated metadata in <a href="https://github.com/arvados/bh20-seq-resource/blob/master/example/maximum_metadata_example.yaml">YAML</a> format. The YAML matches the web form and gets validated from the same <a href="https://github.com/arvados/bh20-seq-resource/blob/master/bh20sequploader/bh20seq-schema.yml">schema</a> looks. The YAML that you need to create/generate for your samples looks like </p> <p> A minimal example of metadata looks like </p> <div class="org-src-container"> <pre class="src src-json">id: placeholder license: license_type: http://creativecommons.org/licenses/by/<span style="color: #8bc34a;">4.0</span>/ host: host_species: http://purl.obolibrary.org/obo/NCBITaxon_<span style="color: #8bc34a;">9606</span> sample: sample_id: XX collection_date: <span style="color: #9ccc65;">"2020-01-01"</span> collection_location: http://www.wikidata.org/entity/Q<span style="color: #8bc34a;">148</span> virus: virus_species: http://purl.obolibrary.org/obo/NCBITaxon_<span style="color: #8bc34a;">2697049</span> technology: sample_sequencing_technology: [http://www.ebi.ac.uk/efo/EFO_<span style="color: #8bc34a;">0008632</span>] submitter: authors: [John Doe] </pre> </div> <p> a more elaborate example (note most fields are optional) may look like </p> <div class="org-src-container"> <pre class="src src-json">id: placeholder host: host_id: XX<span style="color: #8bc34a;">1</span> host_species: http://purl.obolibrary.org/obo/NCBITaxon_<span style="color: #8bc34a;">9606</span> host_sex: http://purl.obolibrary.org/obo/PATO_<span style="color: #8bc34a;">0000384</span> host_age: <span style="color: #8bc34a;">20</span> host_age_unit: http://purl.obolibrary.org/obo/UO_<span style="color: #8bc34a;">0000036</span> host_health_status: http://purl.obolibrary.org/obo/NCIT_C<span style="color: #8bc34a;">25269</span> host_treatment: Process in which the act is intended to modify or alter host status (Compounds) host_vaccination: [vaccines<span style="color: #8bc34a;">1</span>,vaccine<span style="color: #8bc34a;">2</span>] ethnicity: http://purl.obolibrary.org/obo/HANCESTRO_<span style="color: #8bc34a;">0010</span> additional_host_information: Optional free text field for additional information sample: sample_id: Id of the sample as defined by the submitter collector_name: Name of the person that took the sample collecting_institution: Institute that was responsible of sampling specimen_source: [http://purl.obolibrary.org/obo/NCIT_C<span style="color: #8bc34a;">155831</span>,http://purl.obolibrary.org/obo/NCIT_C<span style="color: #8bc34a;">155835</span>] collection_date: <span style="color: #9ccc65;">"2020-01-01"</span> collection_location: http://www.wikidata.org/entity/Q<span style="color: #8bc34a;">148</span> sample_storage_conditions: frozen specimen source_database_accession: [http://identifiers.org/insdc/LC<span style="color: #8bc34a;">522350.1</span>#sequence] additional_collection_information: Optional free text field for additional information virus: virus_species: http://purl.obolibrary.org/obo/NCBITaxon_<span style="color: #8bc34a;">2697049</span> virus_strain: SARS-CoV-<span style="color: #8bc34a;">2</span>/human/CHN/HS_<span style="color: #8bc34a;">8</span>/<span style="color: #8bc34a;">2020</span> technology: sample_sequencing_technology: [http://www.ebi.ac.uk/efo/EFO_<span style="color: #8bc34a;">0009173</span>,http://www.ebi.ac.uk/efo/EFO_<span style="color: #8bc34a;">0009173</span>] sequence_assembly_method: Protocol used for assembly sequencing_coverage: [<span style="color: #8bc34a;">70.0</span>, <span style="color: #8bc34a;">100.0</span>] additional_technology_information: Optional free text field for additional information submitter: authors: [John Doe, Joe Boe, Jonny Oe] submitter_name: [John Doe] submitter_address: John Doe's address originating_lab: John Doe kitchen lab_address: John Doe's address provider_sample_id: XXX<span style="color: #8bc34a;">1</span> submitter_sample_id: XXX<span style="color: #8bc34a;">2</span> publication: PMID<span style="color: #8bc34a;">00001113</span> submitter_orcid: [https://orcid.org/<span style="color: #8bc34a;">0000</span>-<span style="color: #8bc34a;">0000</span>-<span style="color: #8bc34a;">0000</span>-<span style="color: #8bc34a;">0000</span>,https://orcid.org/<span style="color: #8bc34a;">0000</span>-<span style="color: #8bc34a;">0000</span>-<span style="color: #8bc34a;">0000</span>-<span style="color: #8bc34a;">0001</span>] additional_submitter_information: Optional free text field for additional information </pre> </div> <p> more metadata is yummy. <a href="https://yummydata.org/">Yummydata</a> is useful to a wider community. Note that many of the terms in above example are URIs, such as host_species: <a href="http://purl.obolibrary.org/obo/NCBITaxon_9606">http://purl.obolibrary.org/obo/NCBITaxon_9606</a>. We use web ontologies for these to make the data less ambiguous and more FAIR. Check out the option fields as defined in the schema. If it is not listed a little bit of web searching may be required or <a href="./contact">contact</a> us. </p> </div> <div id="outline-container-org338ebf7" class="outline-3"> <h3 id="org338ebf7"><span class="section-number-3">7.1</span> Run the uploader (CLI)</h3> <div class="outline-text-3" id="text-7-1"> <p> Installing with pip you should be able to run </p> <pre class="example"> bh20sequploader sequence.fasta metadata.yaml </pre> <p> Alternatively the script can be installed from <a href="https://github.com/arvados/bh20-seq-resource#installation">github</a>. Run on the command line </p> <pre class="example"> python3 bh20sequploader/main.py example/sequence.fasta example/maximum_metadata_example.yaml </pre> <p> after installing dependencies (also described in <a href="https://github.com/arvados/bh20-seq-resource/blob/master/doc/INSTALL.md">INSTALL</a> with the GNU Guix package manager). The <code>--help</code> shows </p> <div class="org-src-container"> <pre class="src src-sh">Entering sequence uploader usage: main.py [-h] [--validate] [--skip-qc] [--trusted] metadata sequence_p1 [sequence_p2] Upload SARS-CoV-19 sequences for analysis positional arguments: metadata sequence metadata json sequence_p1 sequence FASTA/FASTQ sequence_p2 sequence FASTQ pair optional arguments: -h, --help show this help message and exit --validate Dry run, validate only --skip-qc Skip local qc check --trusted Trust local validation and add directly to validated project </pre> </div> <p> The web interface using this exact same script so it should just work (TM). </p> </div> </div> <div id="outline-container-org46d5e2f" class="outline-3"> <h3 id="org46d5e2f"><span class="section-number-3">7.2</span> Example: uploading bulk GenBank sequences</h3> <div class="outline-text-3" id="text-7-2"> <p> We also use above script to bulk upload GenBank sequences with a <a href="https://github.com/arvados/bh20-seq-resource/blob/master/scripts/download_genbank_data/from_genbank_to_fasta_and_yaml.py">FASTA and YAML</a> extractor specific for GenBank. This means that the steps we took above for uploading a GenBank sequence are already automated. </p> <p> The steps are: from the <code>bh20-seq-resource/scripts/download_genbank_data/</code> directory using the <a href="https://github.com/arvados/bh20-seq-resource/tree/master/scripts/download_genbank_data">from_genbank_to_fasta_and_yaml.py</a> script: </p> <div class="org-src-container"> <pre class="src src-sh">python3 from_genbank_to_fasta_and_yaml.py <span style="color: #ffcc80;">dir_fasta_and_yaml</span>=~/bh20-seq-resource/scripts/download_genbank_data/fasta_and_yaml ls $<span style="color: #ffcc80;">dir_fasta_and_yaml</span>/*.yaml | <span style="color: #fff59d;">while </span><span style="color: #ff8A65;">read</span> path_code_yaml; <span style="color: #fff59d;">do</span> <span style="color: #ffcc80;">path_code_fasta</span>=${<span style="color: #ffcc80;">path_code_yaml</span>%.*}.fasta bh20-seq-uploader --skip-qc $<span style="color: #ffcc80;">path_code_yaml</span> $<span style="color: #ffcc80;">path_code_fasta</span> <span style="color: #fff59d;">done</span> </pre> </div> </div> </div> <div id="outline-container-orgbfc3f90" class="outline-3"> <h3 id="orgbfc3f90"><span class="section-number-3">7.3</span> Example: preparing metadata</h3> <div class="outline-text-3" id="text-7-3"> <p> Usually, metadata are available in a tabular format, such as spreadsheets. As an example, we provide a script <a href="https://github.com/arvados/bh20-seq-resource/tree/master/scripts/esr_samples">esr_samples.py</a> to show you how to parse your metadata in YAML files ready for the upload. To execute the script, go in the ~bh20-seq-resource/scripts/esr_samples and execute </p> <div class="org-src-container"> <pre class="src src-sh">python3 esr_samples.py </pre> </div> <p> You will find the YAML files in the `yaml` folder which will be created in the same directory. </p> <p> In the example we use Python pandas to read the spreadsheet into a tabular structure. Next we use a <a href="https://github.com/arvados/bh20-seq-resource/blob/master/scripts/esr_samples/template.yaml">template.yaml</a> file that gets filled in by <code>esr_samples.py</code> so we get a metadata YAML file for each sample. </p> <p> Next run the earlier CLI uploader for each YAML and FASTA combination. It can't be much easier than this. For ESR we uploaded a batch of 600 sequences this way. See <a href="http://covid19.genenetwork.org/resource/20VR0995">example</a>. </p> </div> </div> </div> </div> <div id="postamble" class="status"> <hr><small>Created by <a href="http://thebird.nl/">Pjotr Prins</a> (pjotr.public768 at thebird 'dot' nl) using Emacs org-mode and a healthy dose of Lisp!<br />Modified 2020-11-05 Thu 07:27</small>. </div> </body> </html>