Images

author: Pjotr Prins 2020-08-24 09:12:31 +0100
committer: Pjotr Prins 2020-08-24 09:12:31 +0100
commit: fe1402f898e3673aba725df62109df5bb2d8eef4 (patch)
tree: 5815b6b08b10768f743f460ffcbd7c588a8ea273
parent: 9a1ed60533e03830eac6d8e719d522a0b171dc67 (diff)
download: bh20-seq-resource-fe1402f898e3673aba725df62109df5bb2d8eef4.tar.gz
bh20-seq-resource-fe1402f898e3673aba725df62109df5bb2d8eef4.tar.lz
bh20-seq-resource-fe1402f898e3673aba725df62109df5bb2d8eef4.zip
9 files changed, 253 insertions, 129 deletions
diff --git a/bh20simplewebuploader/static/image/REDCap.png b/bh20simplewebuploader/static/image/REDCap.png
new file mode 100644
index 0000000..9481b78
--- /dev/null
+++ b/bh20simplewebuploader/static/image/REDCap.png
diff --git a/bh20simplewebuploader/static/image/oxford-nanopore2.jpg b/bh20simplewebuploader/static/image/oxford-nanopore2.jpg
new file mode 100644
index 0000000..a08ba83
--- /dev/null
+++ b/bh20simplewebuploader/static/image/oxford-nanopore2.jpg
diff --git a/bh20simplewebuploader/static/image/redcap_logo_high_res_white_on_black.svg b/bh20simplewebuploader/static/image/redcap_logo_high_res_white_on_black.svg
new file mode 100644
index 0000000..34b2775
--- /dev/null
+++ b/bh20simplewebuploader/static/image/redcap_logo_high_res_white_on_black.svg
@@ -0,0 +1,72 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 5160 1744" width="5160" height="1744">
+	<defs>
+		<image width="1631" height="1477" id="img1" 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+		<use id="Layer" href="#img1" transform="matrix(0.68,0,0,0.68,35.816,67)"/>
+		<g id="Layer">
+		</g>
+		<g id="Layer">
+		</g>
+		<g id="Layer">
+		</g>
+		<g id="Layer">
+		</g>
+		<g id="Layer">
+		</g>
+		<g id="Layer">
+		</g>
+		<text id="Text layer 62" style="transform: matrix(1,0,0,1,4961,616)" >
+			<tspan x="0" y="208" class="txt3">®</tspan>
+		</text>
+	</g>
+</svg>
+\ No newline at end of file
diff --git a/bh20simplewebuploader/static/image/redcap_logo_high_res_white_on_black.svg.png b/bh20simplewebuploader/static/image/redcap_logo_high_res_white_on_black.svg.png
new file mode 100644
index 0000000..be547d1
--- /dev/null
+++ b/bh20simplewebuploader/static/image/redcap_logo_high_res_white_on_black.svg.png
diff --git a/bh20simplewebuploader/templates/home.html b/bh20simplewebuploader/templates/home.html
index eb57f26..cfc3506 100644
--- a/bh20simplewebuploader/templates/home.html
+++ b/bh20simplewebuploader/templates/home.html
@@ -12,13 +12,21 @@
                   <p>
                     COVID-19 PubSeq is a free and open online
                     bioinformatics public sequence resource with
-                    on-the-fly analysis of sequenced SARS-CoV-2
+                    on-the-fly analysis of
+                    sequenced <a href="https://pubmed.ncbi.nlm.nih.gov/?term=sars-cov-2&sort=date">SARS-CoV-2</a>
                     samples that allows for a quick turnaround in
                     identification of new virus strains. PubSeq allows
                     anyone to upload sequence material in the form of
                     FASTA or FASTQ files with accompanying metadata
-                    through the <a href="/upload">web interface</a> or <a href="/apidoc">REST API</a>. For more information see the <a href="/about">FAQ!</a>.
+                    through the <a href="/upload">web interface</a>
+                    or <a href="/apidoc">REST API</a>. For more
+                    information see the <a href="/about">FAQ!</a>.
                   </p>
+      <section id="map_view" class="map">
+        <div id="mapid"></div>
+      </section>
+
+                  <a href="https://projectredcap.org/"><img class="img-right" src="static/image/REDCap.png" /></a>
                   <p>
                     Make your sequence
                     data <a href="https://en.wikipedia.org/wiki/FAIR_data">FAIR</a>. Upload
@@ -40,10 +48,16 @@
                     a <a href="https://creativecommons.org/licenses/by/4.0/">Creative
                     Commons license</a> You can take the published
                     (GFA/RDF/FASTA) data and store it in a triple
-                    store for further processing.  Clinical data can
+                    store for further processing.
+                    Clinical data can
                     be stored securely
                     at <a href="https://redcap-covid19.elixir-luxembourg.org/redcap/">REDCap</a>.
                   </p>
+                  <a href="https://nanoporetech.com/"><img class="img-right" src="static/image/oxford-nanopore2.jpg" /></a>
+                  <p>
+                    We give special attention to workflows for the <a href="https://nanoporetech.com/">Oxford Nanopore</a> - see <a href="https://pubmed.ncbi.nlm.nih.gov/?term=sars-cov-2+nanopore&sort=date">pubmed</a> - because it offers an affordable platform that is great
+                    for SARS-CoV-2 sequencing.
+                  </p>
                   <p>
                     Note that form fields contain
                     web <a href="https://en.wikipedia.org/wiki/Web_Ontology_Language">ontology
@@ -55,10 +69,6 @@
                 </div>
         </section>
 
-      <section id="map_view" class="map">
-        <div id="mapid"></div>
-      </section>
-
       {% include 'footer.html' %}
 
 
diff --git a/doc/web/about.html b/doc/web/about.html
index aa12851..2d1f51d 100644
--- a/doc/web/about.html
+++ b/doc/web/about.html
@@ -3,7 +3,7 @@
 "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
 <html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
 <head>
-<!-- 2020-08-23 Sun 04:26 -->
+<!-- 2020-08-24 Mon 03:12 -->
 <meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <title>About/FAQ</title>
@@ -247,34 +247,35 @@ for the JavaScript code in this tag.
 <h2>Table of Contents</h2>
 <div id="text-table-of-contents">
 <ul>
-<li><a href="#orgb53cfc4">1. What is the 'public sequence resource' about?</a></li>
-<li><a href="#orgadbe833">2. Presentations</a></li>
-<li><a href="#org6341702">3. Who created the public sequence resource?</a></li>
-<li><a href="#orgf4727de">4. How does the public sequence resource compare to other data resources?</a></li>
-<li><a href="#org7628c20">5. Why should I upload my data here?</a></li>
-<li><a href="#org1d5608f">6. Why should I not upload by data here?</a></li>
-<li><a href="#org247f60a">7. How does the public sequence resource work?</a></li>
-<li><a href="#org08f84bf">8. Who uses the public sequence resource?</a></li>
-<li><a href="#org3789965">9. How can I contribute?</a></li>
-<li><a href="#orge01d432">10. Is this about open data?</a></li>
-<li><a href="#org75db52c">11. Is this about free software?</a></li>
-<li><a href="#org2334a85">12. How do I upload raw data?</a></li>
-<li><a href="#org888f62f">13. How do I change metadata?</a></li>
-<li><a href="#org13f3dcb">14. How do I change the work flows?</a></li>
-<li><a href="#orga445ffc">15. How do I change the source code?</a></li>
-<li><a href="#org35ec40a">16. Should I choose CC-BY or CC0?</a></li>
-<li><a href="#org2ed95f2">17. Are there also variant in the RDF databases? *</a></li>
-<li><a href="#org6e0f616">18. How do I deal with private data and privacy?</a></li>
-<li><a href="#org4484eb1">19. Do you have any checks or concerns if human sequence accidentally submitted to your service as part of a fastq? *</a></li>
-<li><a href="#org22adb98">20. Does PubSeq support only SARS-CoV-2 data? *</a></li>
-<li><a href="#org85ba0ed">21. How do I communicate with you?</a></li>
-<li><a href="#orgd7bf178">22. Who are the sponsors?</a></li>
+<li><a href="#orge0f47ff">1. What is the 'public sequence resource' about?</a></li>
+<li><a href="#orgdf364dc">2. Presentations</a></li>
+<li><a href="#org5fc8f04">3. Who created the public sequence resource?</a></li>
+<li><a href="#org6f93b70">4. How does the public sequence resource compare to other data resources?</a></li>
+<li><a href="#org8e3181a">5. Why should I upload my data here?</a></li>
+<li><a href="#orgdf83b8b">6. Why should I not upload by data here?</a></li>
+<li><a href="#org99d5e54">7. How does the public sequence resource work?</a></li>
+<li><a href="#org8eac95c">8. Who uses the public sequence resource?</a></li>
+<li><a href="#orgd5907cf">9. How can I contribute?</a></li>
+<li><a href="#orgef93e3d">10. Is this about open data?</a></li>
+<li><a href="#orgab39a73">11. Is this about free software?</a></li>
+<li><a href="#orgad533ff">12. How do I upload raw data?</a></li>
+<li><a href="#org4ca5ce9">13. How do I change metadata?</a></li>
+<li><a href="#org2af2c45">14. How do I change the work flows?</a></li>
+<li><a href="#org6a3ff30">15. How do I change the source code?</a></li>
+<li><a href="#org3bdaa46">16. Should I choose CC-BY or CC0?</a></li>
+<li><a href="#orge4cdab7">17. Are there also variant in the RDF databases?</a></li>
+<li><a href="#org8a56c4c">18. How do I deal with private data and privacy?</a></li>
+<li><a href="#orgf3ba61a">19. Do you have any checks or concerns if human sequence accidentally submitted to your service as part of a fastq? *</a></li>
+<li><a href="#orgc693d03">20. Does PubSeq support only SARS-CoV-2 data?</a></li>
+<li><a href="#org927057f">21. How do I communicate with you?</a></li>
+<li><a href="#orgb05122d">22. Citing PubSeq</a></li>
+<li><a href="#org16a19a4">23. Who are the sponsors?</a></li>
 </ul>
 </div>
 </div>
 
-<div id="outline-container-orgb53cfc4" class="outline-2">
-<h2 id="orgb53cfc4"><span class="section-number-2">1</span> What is the 'public sequence resource' about?</h2>
+<div id="outline-container-orge0f47ff" class="outline-2">
+<h2 id="orge0f47ff"><span class="section-number-2">1</span> What is the 'public sequence resource' about?</h2>
 <div class="outline-text-2" id="text-1">
 <p>
 PubSeq, the <b>public sequence resource</b>, aims to provide a generic and
@@ -322,8 +323,8 @@ follow.
 </div>
 </div>
 
-<div id="outline-container-orgadbe833" class="outline-2">
-<h2 id="orgadbe833"><span class="section-number-2">2</span> Presentations</h2>
+<div id="outline-container-orgdf364dc" class="outline-2">
+<h2 id="orgdf364dc"><span class="section-number-2">2</span> Presentations</h2>
 <div class="outline-text-2" id="text-2">
 <p>
 We presented at the BOSC 2020 Have a look at the <a href="https://bcc2020.sched.com/event/coLw">video</a> (<a href="https://drive.google.com/file/d/1skXHwVKM_gl73-_4giYIOQ1IlC5X5uBo/view?usp=sharing">alternative
@@ -332,8 +333,8 @@ link</a>) and the <a href="https://drive.google.com/file/d/1vyEgfvSqhM9yIwWZ6Iys
 </div>
 </div>
 
-<div id="outline-container-org6341702" class="outline-2">
-<h2 id="org6341702"><span class="section-number-2">3</span> Who created the public sequence resource?</h2>
+<div id="outline-container-org5fc8f04" class="outline-2">
+<h2 id="org5fc8f04"><span class="section-number-2">3</span> Who created the public sequence resource?</h2>
 <div class="outline-text-2" id="text-3">
 <p>
 The <b>public sequence resource</b> is an initiative by <a href="https://github.com/arvados/bh20-seq-resource/graphs/contributors">bioinformatics</a> and
@@ -354,8 +355,8 @@ wrangling experts. Thank you everyone!
 </div>
 </div>
 
-<div id="outline-container-orgf4727de" class="outline-2">
-<h2 id="orgf4727de"><span class="section-number-2">4</span> How does the public sequence resource compare to other data resources?</h2>
+<div id="outline-container-org6f93b70" class="outline-2">
+<h2 id="org6f93b70"><span class="section-number-2">4</span> How does the public sequence resource compare to other data resources?</h2>
 <div class="outline-text-2" id="text-4">
 <p>
 The short version is that we use state-of-the-art practices in
@@ -378,8 +379,8 @@ such as GISAID.
 </div>
 </div>
 
-<div id="outline-container-org7628c20" class="outline-2">
-<h2 id="org7628c20"><span class="section-number-2">5</span> Why should I upload my data here?</h2>
+<div id="outline-container-org8e3181a" class="outline-2">
+<h2 id="org8e3181a"><span class="section-number-2">5</span> Why should I upload my data here?</h2>
 <div class="outline-text-2" id="text-5">
 <ol class="org-ol">
 <li>We champion truly shareable data without licensing restrictions - with proper
@@ -410,8 +411,8 @@ multiple resources.
 </div>
 </div>
 
-<div id="outline-container-org1d5608f" class="outline-2">
-<h2 id="org1d5608f"><span class="section-number-2">6</span> Why should I not upload by data here?</h2>
+<div id="outline-container-orgdf83b8b" class="outline-2">
+<h2 id="orgdf83b8b"><span class="section-number-2">6</span> Why should I not upload by data here?</h2>
 <div class="outline-text-2" id="text-6">
 <p>
 Funny question.  There are only good reasons to upload your data here
@@ -433,8 +434,8 @@ for bulk uploads!
 </div>
 </div>
 
-<div id="outline-container-org247f60a" class="outline-2">
-<h2 id="org247f60a"><span class="section-number-2">7</span> How does the public sequence resource work?</h2>
+<div id="outline-container-org99d5e54" class="outline-2">
+<h2 id="org99d5e54"><span class="section-number-2">7</span> How does the public sequence resource work?</h2>
 <div class="outline-text-2" id="text-7">
 <p>
 On uploading a sequence with metadata it will automatically be
@@ -445,8 +446,8 @@ using workflows from the High Performance Open Biology Lab defined
 </div>
 </div>
 
-<div id="outline-container-org08f84bf" class="outline-2">
-<h2 id="org08f84bf"><span class="section-number-2">8</span> Who uses the public sequence resource?</h2>
+<div id="outline-container-org8eac95c" class="outline-2">
+<h2 id="org8eac95c"><span class="section-number-2">8</span> Who uses the public sequence resource?</h2>
 <div class="outline-text-2" id="text-8">
 <p>
 The Swiss Institute of Bioinformatics has included this data in
@@ -464,8 +465,8 @@ for monitoring, protein prediction and drug development.
 </div>
 </div>
 
-<div id="outline-container-org3789965" class="outline-2">
-<h2 id="org3789965"><span class="section-number-2">9</span> How can I contribute?</h2>
+<div id="outline-container-orgd5907cf" class="outline-2">
+<h2 id="orgd5907cf"><span class="section-number-2">9</span> How can I contribute?</h2>
 <div class="outline-text-2" id="text-9">
 <p>
 You can contribute by submitting sequences, updating metadata, submit
@@ -477,8 +478,8 @@ point.
 </div>
 </div>
 
-<div id="outline-container-orge01d432" class="outline-2">
-<h2 id="orge01d432"><span class="section-number-2">10</span> Is this about open data?</h2>
+<div id="outline-container-orgef93e3d" class="outline-2">
+<h2 id="orgef93e3d"><span class="section-number-2">10</span> Is this about open data?</h2>
 <div class="outline-text-2" id="text-10">
 <p>
 All data is published under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons 4.0 attribution license</a>
@@ -488,8 +489,8 @@ data and store it for further processing.
 </div>
 </div>
 
-<div id="outline-container-org75db52c" class="outline-2">
-<h2 id="org75db52c"><span class="section-number-2">11</span> Is this about free software?</h2>
+<div id="outline-container-orgab39a73" class="outline-2">
+<h2 id="orgab39a73"><span class="section-number-2">11</span> Is this about free software?</h2>
 <div class="outline-text-2" id="text-11">
 <p>
 Absolutely. Free software allows for fully reproducible pipelines. You
@@ -498,8 +499,8 @@ can take our workflows and data and run it elsewhere!
 </div>
 </div>
 
-<div id="outline-container-org2334a85" class="outline-2">
-<h2 id="org2334a85"><span class="section-number-2">12</span> How do I upload raw data?</h2>
+<div id="outline-container-orgad533ff" class="outline-2">
+<h2 id="orgad533ff"><span class="section-number-2">12</span> How do I upload raw data?</h2>
 <div class="outline-text-2" id="text-12">
 <p>
 We are preparing raw sequence data pipelines (fastq and BAM). The
@@ -514,8 +515,8 @@ assembly variations into consideration. This is all work in progress.
 </div>
 </div>
 
-<div id="outline-container-org888f62f" class="outline-2">
-<h2 id="org888f62f"><span class="section-number-2">13</span> How do I change metadata?</h2>
+<div id="outline-container-org4ca5ce9" class="outline-2">
+<h2 id="org4ca5ce9"><span class="section-number-2">13</span> How do I change metadata?</h2>
 <div class="outline-text-2" id="text-13">
 <p>
 See the <a href="http://covid19.genenetwork.org/blog">http://covid19.genenetwork.org/blog</a>!
@@ -523,8 +524,8 @@ See the <a href="http://covid19.genenetwork.org/blog">http://covid19.genenetwork
 </div>
 </div>
 
-<div id="outline-container-org13f3dcb" class="outline-2">
-<h2 id="org13f3dcb"><span class="section-number-2">14</span> How do I change the work flows?</h2>
+<div id="outline-container-org2af2c45" class="outline-2">
+<h2 id="org2af2c45"><span class="section-number-2">14</span> How do I change the work flows?</h2>
 <div class="outline-text-2" id="text-14">
 <p>
 Workflows are on <a href="https://github.com/arvados/bh20-seq-resource/tree/master/workflows">github</a> and can be modified. See also the BLOG
@@ -533,8 +534,8 @@ Workflows are on <a href="https://github.com/arvados/bh20-seq-resource/tree/mast
 </div>
 </div>
 
-<div id="outline-container-orga445ffc" class="outline-2">
-<h2 id="orga445ffc"><span class="section-number-2">15</span> How do I change the source code?</h2>
+<div id="outline-container-org6a3ff30" class="outline-2">
+<h2 id="org6a3ff30"><span class="section-number-2">15</span> How do I change the source code?</h2>
 <div class="outline-text-2" id="text-15">
 <p>
 Go to our <a href="https://github.com/arvados/bh20-seq-resource">source code repositories</a>, fork/clone the repository, change
@@ -544,8 +545,8 @@ many PRs we already merged.
 </div>
 </div>
 
-<div id="outline-container-org35ec40a" class="outline-2">
-<h2 id="org35ec40a"><span class="section-number-2">16</span> Should I choose CC-BY or CC0?</h2>
+<div id="outline-container-org3bdaa46" class="outline-2">
+<h2 id="org3bdaa46"><span class="section-number-2">16</span> Should I choose CC-BY or CC0?</h2>
 <div class="outline-text-2" id="text-16">
 <p>
 Restrictive data licenses are hampering data sharing and reproducible
@@ -561,8 +562,8 @@ In all honesty: we prefer both data and software to be free.
 </div>
 </div>
 
-<div id="outline-container-org2ed95f2" class="outline-2">
-<h2 id="org2ed95f2"><span class="section-number-2">17</span> Are there also variant in the RDF databases? *</h2>
+<div id="outline-container-orge4cdab7" class="outline-2">
+<h2 id="orge4cdab7"><span class="section-number-2">17</span> Are there also variant in the RDF databases?</h2>
 <div class="outline-text-2" id="text-17">
 <p>
 We do output a RDF file with the pangenome built in, and you can parse it because it has variants implicitly.
@@ -574,8 +575,8 @@ We are also writing tools to generate VCF files directly from the pangenome.
 </div>
 </div>
 
-<div id="outline-container-org6e0f616" class="outline-2">
-<h2 id="org6e0f616"><span class="section-number-2">18</span> How do I deal with private data and privacy?</h2>
+<div id="outline-container-org8a56c4c" class="outline-2">
+<h2 id="org8a56c4c"><span class="section-number-2">18</span> How do I deal with private data and privacy?</h2>
 <div class="outline-text-2" id="text-18">
 <p>
 A public sequence resource is about public data. Metadata can refer to
@@ -586,8 +587,8 @@ plan to combine identifiers with clinical data stored securely at
 </div>
 </div>
 
-<div id="outline-container-org4484eb1" class="outline-2">
-<h2 id="org4484eb1"><span class="section-number-2">19</span> Do you have any checks or concerns if human sequence accidentally submitted to your service as part of a fastq? *</h2>
+<div id="outline-container-orgf3ba61a" class="outline-2">
+<h2 id="orgf3ba61a"><span class="section-number-2">19</span> Do you have any checks or concerns if human sequence accidentally submitted to your service as part of a fastq? *</h2>
 <div class="outline-text-2" id="text-19">
 <p>
 We are planning to remove reads that match the human reference.
@@ -595,8 +596,8 @@ We are planning to remove reads that match the human reference.
 </div>
 </div>
 
-<div id="outline-container-org22adb98" class="outline-2">
-<h2 id="org22adb98"><span class="section-number-2">20</span> Does PubSeq support only SARS-CoV-2 data? *</h2>
+<div id="outline-container-orgc693d03" class="outline-2">
+<h2 id="orgc693d03"><span class="section-number-2">20</span> Does PubSeq support only SARS-CoV-2 data?</h2>
 <div class="outline-text-2" id="text-20">
 <p>
 To date, PubSeq is a resource specific to SARS-CoV-2, but we are designing it to be able to support other species in the future.
@@ -605,8 +606,8 @@ To date, PubSeq is a resource specific to SARS-CoV-2, but we are designing it to
 </div>
 
 
-<div id="outline-container-org85ba0ed" class="outline-2">
-<h2 id="org85ba0ed"><span class="section-number-2">21</span> How do I communicate with you?</h2>
+<div id="outline-container-org927057f" class="outline-2">
+<h2 id="org927057f"><span class="section-number-2">21</span> How do I communicate with you?</h2>
 <div class="outline-text-2" id="text-21">
 <p>
 We use a <a href="https://gitter.im/arvados/pubseq?utm_source=share-link&amp;utm_medium=link&amp;utm_campaign=share-link">gitter channel</a> you can join. See also <a href="./contact">contact</a>.
@@ -614,10 +615,26 @@ We use a <a href="https://gitter.im/arvados/pubseq?utm_source=share-link&amp;utm
 </div>
 </div>
 
-<div id="outline-container-orgd7bf178" class="outline-2">
-<h2 id="orgd7bf178"><span class="section-number-2">22</span> Who are the sponsors?</h2>
+<div id="outline-container-orgb05122d" class="outline-2">
+<h2 id="orgb05122d"><span class="section-number-2">22</span> Citing PubSeq</h2>
 <div class="outline-text-2" id="text-22">
 <p>
+We have two publications in the works. Until we have a DOI please cite
+PubSeq in the following way:
+</p>
+
+<p>
+We made use of the COVID-19 public sequence (PubSeq) resources hosted
+at <a href="http://covid19.genenetwork.org/">http://covid19.genenetwork.org/</a>.
+</p>
+</div>
+</div>
+
+
+<div id="outline-container-org16a19a4" class="outline-2">
+<h2 id="org16a19a4"><span class="section-number-2">23</span> Who are the sponsors?</h2>
+<div class="outline-text-2" id="text-23">
+<p>
 The main sponsors are listed in the footer. In addition to the time
 generously donated by many contributors we also acknowledge Amazon AWS
 for donating COVID-19 related compute time.
@@ -626,7 +643,7 @@ for donating COVID-19 related compute time.
 </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 2020-08-23 Sun 04:26</small>.
+<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 2020-08-24 Mon 03:12</small>.
 </div>
 </body>
 </html>
diff --git a/doc/web/about.org b/doc/web/about.org
index 1b7bda1..d8d7f73 100644
--- a/doc/web/about.org
+++ b/doc/web/about.org
@@ -18,11 +18,12 @@
  - [[#how-do-i-change-the-work-flows][How do I change the work flows?]]
  - [[#how-do-i-change-the-source-code][How do I change the source code?]]
  - [[#should-i-choose-cc-by-or-cc0][Should I choose CC-BY or CC0?]]
- - [[#are-there-also-variant-in-the-rdf-databases-][Are there also variant in the RDF databases? *]]
+ - [[#are-there-also-variant-in-the-rdf-databases][Are there also variant in the RDF databases?]]
  - [[#how-do-i-deal-with-private-data-and-privacy][How do I deal with private data and privacy?]]
  - [[#do-you-have-any-checks-or-concerns-if-human-sequence-accidentally-submitted-to-your-service-as-part-of-a-fastq-][Do you have any checks or concerns if human sequence accidentally submitted to your service as part of a fastq? *]]
- - [[#does-pubseq-support-only-sars-cov-2-data-][Does PubSeq support only SARS-CoV-2 data? *]]
+ - [[#does-pubseq-support-only-sars-cov-2-data][Does PubSeq support only SARS-CoV-2 data?]]
  - [[#how-do-i-communicate-with-you][How do I communicate with you?]]
+ - [[#citing-pubseq][Citing PubSeq]]
  - [[#who-are-the-sponsors][Who are the sponsors?]]
 
 * What is the 'public sequence resource' about?
@@ -209,7 +210,7 @@ because we know people like the attribution clause.
 
 In all honesty: we prefer both data and software to be free.
 
-* Are there also variant in the RDF databases? *
+* Are there also variant in the RDF databases?
 
 We do output a RDF file with the pangenome built in, and you can parse it because it has variants implicitly.
 
@@ -226,7 +227,7 @@ plan to combine identifiers with clinical data stored securely at
 
 We are planning to remove reads that match the human reference.
 
-* Does PubSeq support only SARS-CoV-2 data? *
+* Does PubSeq support only SARS-CoV-2 data?
 
 To date, PubSeq is a resource specific to SARS-CoV-2, but we are designing it to be able to support other species in the future.
 
@@ -235,6 +236,15 @@ To date, PubSeq is a resource specific to SARS-CoV-2, but we are designing it to
 
 We use a [[https://gitter.im/arvados/pubseq?utm_source=share-link&utm_medium=link&utm_campaign=share-link][gitter channel]] you can join. See also [[./contact][contact]].
 
+* Citing PubSeq
+
+We have two publications in the works. Until we have a DOI please cite
+PubSeq in the following way:
+
+We made use of the COVID-19 public sequence (PubSeq) resources hosted
+at http://covid19.genenetwork.org/.
+
+
 * Who are the sponsors?
 
 The main sponsors are listed in the footer. In addition to the time
diff --git a/doc/web/download.html b/doc/web/download.html
index 1d196a0..998c87b 100644
--- a/doc/web/download.html
+++ b/doc/web/download.html
@@ -3,7 +3,7 @@
 "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
 <html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
 <head>
-<!-- 2020-06-12 Fri 04:41 -->
+<!-- 2020-08-24 Mon 03:08 -->
 <meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <title>Download</title>
@@ -247,34 +247,35 @@ for the JavaScript code in this tag.
 <h2>Table of Contents</h2>
 <div id="text-table-of-contents">
 <ul>
-<li><a href="#orgcd3d82f">1. Workflow runs</a></li>
-<li><a href="#org9aff936">2. FASTA files</a></li>
-<li><a href="#orgc3e953c">3. Metadata</a></li>
-<li><a href="#orgc9c55c4">4. Pangenome</a>
+<li><a href="#orgc7d7db3">1. Workflow runs</a></li>
+<li><a href="#org3b6bb40">2. FASTA files</a></li>
+<li><a href="#orgef20a06">3. Metadata</a></li>
+<li><a href="#orgaabb9da">4. Pangenome</a>
 <ul>
-<li><a href="#org82c3ce9">4.1. Pangenome GFA format</a></li>
-<li><a href="#orgf63e9f7">4.2. Pangenome in ODGI format</a></li>
-<li><a href="#org8faf32f">4.3. Pangenome RDF format</a></li>
-<li><a href="#org0c452f6">4.4. Pangenome Browser format</a></li>
+<li><a href="#org1171db3">4.1. Pangenome GFA format</a></li>
+<li><a href="#orgfc74439">4.2. Pangenome in ODGI format</a></li>
+<li><a href="#orge6bb923">4.3. Pangenome RDF format</a></li>
+<li><a href="#org5978f5c">4.4. Pangenome Browser format</a></li>
 </ul>
 </li>
-<li><a href="#org4707094">5. Log of workflow output</a></li>
-<li><a href="#orgd4d8f91">6. All files</a></li>
-<li><a href="#org237b3cf">7. Planned</a>
+<li><a href="#orgae23127">5. Log of workflow output</a></li>
+<li><a href="#org88613e5">6. All files</a></li>
+<li><a href="#org97e0327">7. Planned</a>
 <ul>
-<li><a href="#org66e03ac">7.1. Raw sequence data</a></li>
-<li><a href="#orgdfae1b9">7.2. Multiple Sequence Alignment (MSA)</a></li>
-<li><a href="#orgaedc43e">7.3. Phylogenetic tree</a></li>
-<li><a href="#org19a6a11">7.4. Protein prediction</a></li>
+<li><a href="#org35758f9">7.1. Raw sequence data</a></li>
+<li><a href="#orgab1c848">7.2. Multiple Sequence Alignment (MSA)</a></li>
+<li><a href="#orgadb7ade">7.3. Phylogenetic tree</a></li>
+<li><a href="#org3ec62c4">7.4. Protein prediction</a></li>
 </ul>
 </li>
-<li><a href="#org49778b7">8. Source code</a></li>
+<li><a href="#orga430457">8. Source code</a></li>
+<li><a href="#org768f91e">9. Citing PubSeq</a></li>
 </ul>
 </div>
 </div>
 
-<div id="outline-container-orgcd3d82f" class="outline-2">
-<h2 id="orgcd3d82f"><span class="section-number-2">1</span> Workflow runs</h2>
+<div id="outline-container-orgc7d7db3" class="outline-2">
+<h2 id="orgc7d7db3"><span class="section-number-2">1</span> Workflow runs</h2>
 <div class="outline-text-2" id="text-1">
 <p>
 The last runs can be viewed <a href="https://workbench.lugli.arvadosapi.com/projects/lugli-j7d0g-y4k4uswcqi3ku56#Subprojects">here</a>. If you click on a run you can see
@@ -285,8 +286,8 @@ is listed under <code>Data collections</code>. All current data is listed
 </div>
 </div>
 
-<div id="outline-container-org9aff936" class="outline-2">
-<h2 id="org9aff936"><span class="section-number-2">2</span> FASTA files</h2>
+<div id="outline-container-org3b6bb40" class="outline-2">
+<h2 id="org3b6bb40"><span class="section-number-2">2</span> FASTA files</h2>
 <div class="outline-text-2" id="text-2">
 <p>
 The <b>public sequence resource</b> provides all uploaded sequences as
@@ -296,8 +297,8 @@ also provide a single file <a href="https://collections.lugli.arvadosapi.com/c=l
 </div>
 </div>
 
-<div id="outline-container-orgc3e953c" class="outline-2">
-<h2 id="orgc3e953c"><span class="section-number-2">3</span> Metadata</h2>
+<div id="outline-container-orgef20a06" class="outline-2">
+<h2 id="orgef20a06"><span class="section-number-2">3</span> Metadata</h2>
 <div class="outline-text-2" id="text-3">
 <p>
 Metadata can be downloaded as <a href="https://www.w3.org/TR/turtle/">Turtle RDF</a> as a <a href="https://collections.lugli.arvadosapi.com/c=lugli-4zz18-z513nlpqm03hpca/mergedmetadata.ttl">mergedmetadat.ttl</a> which
@@ -319,8 +320,8 @@ graph can be downloaded from below Pangenome RDF format.
 </div>
 </div>
 
-<div id="outline-container-orgc9c55c4" class="outline-2">
-<h2 id="orgc9c55c4"><span class="section-number-2">4</span> Pangenome</h2>
+<div id="outline-container-orgaabb9da" class="outline-2">
+<h2 id="orgaabb9da"><span class="section-number-2">4</span> Pangenome</h2>
 <div class="outline-text-2" id="text-4">
 <p>
 Pangenome data is made available in multiple guises. Variation graphs
@@ -328,8 +329,8 @@ Pangenome data is made available in multiple guises. Variation graphs
 </p>
 </div>
 
-<div id="outline-container-org82c3ce9" class="outline-3">
-<h3 id="org82c3ce9"><span class="section-number-3">4.1</span> Pangenome GFA format</h3>
+<div id="outline-container-org1171db3" class="outline-3">
+<h3 id="org1171db3"><span class="section-number-3">4.1</span> Pangenome GFA format</h3>
 <div class="outline-text-3" id="text-4-1">
 <p>
 <a href="https://github.com/GFA-spec/GFA-spec">GFA</a> is a standard for graphical fragment assembly and consumed
@@ -338,8 +339,8 @@ by tools such as <a href="https://github.com/vgteam/vg">vgtools</a>.
 </div>
 </div>
 
-<div id="outline-container-orgf63e9f7" class="outline-3">
-<h3 id="orgf63e9f7"><span class="section-number-3">4.2</span> Pangenome in ODGI format</h3>
+<div id="outline-container-orgfc74439" class="outline-3">
+<h3 id="orgfc74439"><span class="section-number-3">4.2</span> Pangenome in ODGI format</h3>
 <div class="outline-text-3" id="text-4-2">
 <p>
 <a href="https://github.com/vgteam/odgi">ODGI</a> is a format that supports an optimised dynamic genome/graph
@@ -348,8 +349,8 @@ implementation.
 </div>
 </div>
 
-<div id="outline-container-org8faf32f" class="outline-3">
-<h3 id="org8faf32f"><span class="section-number-3">4.3</span> Pangenome RDF format</h3>
+<div id="outline-container-orge6bb923" class="outline-3">
+<h3 id="orge6bb923"><span class="section-number-3">4.3</span> Pangenome RDF format</h3>
 <div class="outline-text-3" id="text-4-3">
 <p>
 An RDF file that includes the sequences themselves in a variation
@@ -360,8 +361,8 @@ graph can be downloaded from
 </div>
 
 
-<div id="outline-container-org0c452f6" class="outline-3">
-<h3 id="org0c452f6"><span class="section-number-3">4.4</span> Pangenome Browser format</h3>
+<div id="outline-container-org5978f5c" class="outline-3">
+<h3 id="org5978f5c"><span class="section-number-3">4.4</span> Pangenome Browser format</h3>
 <div class="outline-text-3" id="text-4-4">
 <p>
 The many JSON files that are named as
@@ -372,8 +373,8 @@ Pangenome browser.
 </div>
 </div>
 
-<div id="outline-container-org4707094" class="outline-2">
-<h2 id="org4707094"><span class="section-number-2">5</span> Log of workflow output</h2>
+<div id="outline-container-orgae23127" class="outline-2">
+<h2 id="orgae23127"><span class="section-number-2">5</span> Log of workflow output</h2>
 <div class="outline-text-2" id="text-5">
 <p>
 Including in below link is a log file of the last workflow runs.
@@ -381,8 +382,8 @@ Including in below link is a log file of the last workflow runs.
 </div>
 </div>
 
-<div id="outline-container-orgd4d8f91" class="outline-2">
-<h2 id="orgd4d8f91"><span class="section-number-2">6</span> All files</h2>
+<div id="outline-container-org88613e5" class="outline-2">
+<h2 id="org88613e5"><span class="section-number-2">6</span> All files</h2>
 <div class="outline-text-2" id="text-6">
 <p>
 <a href="https://collections.lugli.arvadosapi.com/c=lugli-4zz18-z513nlpqm03hpca/">https://collections.lugli.arvadosapi.com/c=lugli-4zz18-z513nlpqm03hpca/</a>
@@ -390,16 +391,16 @@ Including in below link is a log file of the last workflow runs.
 </div>
 </div>
 
-<div id="outline-container-org237b3cf" class="outline-2">
-<h2 id="org237b3cf"><span class="section-number-2">7</span> Planned</h2>
+<div id="outline-container-org97e0327" class="outline-2">
+<h2 id="org97e0327"><span class="section-number-2">7</span> Planned</h2>
 <div class="outline-text-2" id="text-7">
 <p>
 We are planning the add the following output (see also
 </p>
 </div>
 
-<div id="outline-container-org66e03ac" class="outline-3">
-<h3 id="org66e03ac"><span class="section-number-3">7.1</span> Raw sequence data</h3>
+<div id="outline-container-org35758f9" class="outline-3">
+<h3 id="org35758f9"><span class="section-number-3">7.1</span> Raw sequence data</h3>
 <div class="outline-text-3" id="text-7-1">
 <p>
 See <a href="https://github.com/arvados/bh20-seq-resource/issues/16">fastq tracker</a> and <a href="https://github.com/arvados/bh20-seq-resource/issues/63">BAM tracker</a>.
@@ -407,8 +408,8 @@ See <a href="https://github.com/arvados/bh20-seq-resource/issues/16">fastq track
 </div>
 </div>
 
-<div id="outline-container-orgdfae1b9" class="outline-3">
-<h3 id="orgdfae1b9"><span class="section-number-3">7.2</span> Multiple Sequence Alignment (MSA)</h3>
+<div id="outline-container-orgab1c848" class="outline-3">
+<h3 id="orgab1c848"><span class="section-number-3">7.2</span> Multiple Sequence Alignment (MSA)</h3>
 <div class="outline-text-3" id="text-7-2">
 <p>
 See <a href="https://github.com/arvados/bh20-seq-resource/issues/11">MSA tracker</a>.
@@ -416,8 +417,8 @@ See <a href="https://github.com/arvados/bh20-seq-resource/issues/11">MSA tracker
 </div>
 </div>
 
-<div id="outline-container-orgaedc43e" class="outline-3">
-<h3 id="orgaedc43e"><span class="section-number-3">7.3</span> Phylogenetic tree</h3>
+<div id="outline-container-orgadb7ade" class="outline-3">
+<h3 id="orgadb7ade"><span class="section-number-3">7.3</span> Phylogenetic tree</h3>
 <div class="outline-text-3" id="text-7-3">
 <p>
 See <a href="https://github.com/arvados/bh20-seq-resource/issues/43">Phylo tracker</a>.
@@ -425,8 +426,8 @@ See <a href="https://github.com/arvados/bh20-seq-resource/issues/43">Phylo track
 </div>
 </div>
 
-<div id="outline-container-org19a6a11" class="outline-3">
-<h3 id="org19a6a11"><span class="section-number-3">7.4</span> Protein prediction</h3>
+<div id="outline-container-org3ec62c4" class="outline-3">
+<h3 id="org3ec62c4"><span class="section-number-3">7.4</span> Protein prediction</h3>
 <div class="outline-text-3" id="text-7-4">
 <p>
 We aim to make protein predictions available.
@@ -435,8 +436,8 @@ We aim to make protein predictions available.
 </div>
 </div>
 
-<div id="outline-container-org49778b7" class="outline-2">
-<h2 id="org49778b7"><span class="section-number-2">8</span> Source code</h2>
+<div id="outline-container-orga430457" class="outline-2">
+<h2 id="orga430457"><span class="section-number-2">8</span> Source code</h2>
 <div class="outline-text-2" id="text-8">
 <p>
 All source code for this website and tooling is available
@@ -445,9 +446,18 @@ from
 </p>
 </div>
 </div>
+
+<div id="outline-container-org768f91e" class="outline-2">
+<h2 id="org768f91e"><span class="section-number-2">9</span> Citing PubSeq</h2>
+<div class="outline-text-2" id="text-9">
+<p>
+See the <a href="./about">FAQ</a>.
+</p>
+</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 2020-06-12 Fri 04:41</small>.
+<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 2020-08-24 Mon 03:07</small>.
 </div>
 </body>
 </html>
diff --git a/doc/web/download.org b/doc/web/download.org
index 7614c60..a3f1949 100644
--- a/doc/web/download.org
+++ b/doc/web/download.org
@@ -18,6 +18,7 @@
    - [[#phylogenetic-tree][Phylogenetic tree]]
    - [[#protein-prediction][Protein prediction]]
  - [[#source-code][Source code]]
+ - [[#citing-pubseq][Citing PubSeq]]
 
 * Workflow runs
 
@@ -107,3 +108,7 @@ We aim to make protein predictions available.
 All source code for this website and tooling is available
 from
 https://github.com/arvados/bh20-seq-resource
+
+* Citing PubSeq
+
+See the [[./about][FAQ]].
author	Pjotr Prins	2020-08-24 09:12:31 +0100
committer	Pjotr Prins	2020-08-24 09:12:31 +0100
commit	fe1402f898e3673aba725df62109df5bb2d8eef4 (patch)
tree	5815b6b08b10768f743f460ffcbd7c588a8ea273
parent	9a1ed60533e03830eac6d8e719d522a0b171dc67 (diff)
download	bh20-seq-resource-fe1402f898e3673aba725df62109df5bb2d8eef4.tar.gz bh20-seq-resource-fe1402f898e3673aba725df62109df5bb2d8eef4.tar.lz bh20-seq-resource-fe1402f898e3673aba725df62109df5bb2d8eef4.zip