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- Salvare "merge columns" su client - Glycosylation sites -> mostro tutti insieme - Upload dominio da utente - Cambio nomi dei file download - Open analysis -> inserire file o manualmente accession ids - Open analysis -> multiple drop downs - Aggiornamento proteine, lineages, all_geo ogni 24h
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@@ -107,6 +107,12 @@ <h2 class="text-primary" style="margin: 20px 0; font-size:38px">Contacts</h2> | |
<p> <a href="mailto:[email protected]">[email protected]</a></p> | ||
</td> | ||
</tr> | ||
<tr> | ||
<td> | ||
<b style="font-size:1.3em">Dr. Matteo Chiara</b> | ||
<p>Use cases, Testing</p> | ||
</td> | ||
</tr> | ||
<tr> | ||
<td> | ||
<b>Dipartimento di Elettronica, Informazione e Bioingegneria</b><br> | ||
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@@ -137,6 +143,7 @@ <h2 class="text-primary" style="margin: 20px 0; font-size:38px">Third-party soft | |
<p><a href="https://www.postgresql.org/">PostgreSQL</a></p> | ||
<p><a href="https://vuejs.org/">Vue.js</a></p> | ||
<p><a href="http://flask.pocoo.org/">Flask</a></p> | ||
<p><a href="https://echarts.apache.org/">Apache ECharts</a></p> | ||
</td> | ||
</tr> | ||
</tbody> | ||
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@@ -168,51 +175,13 @@ <h3 class="text-primary">GISAID data acknowledgement</h3> | |
</span> | ||
</td> | ||
</tr> | ||
<tr> | ||
<td> | ||
<h3 class="text-primary">Personal acknowledgements</h3> | ||
The authors would like to thank several researchers | ||
for their contribution to requirements elicitation and for inspiring future developments | ||
of this research. | ||
They are listed in strict alphabetical order by last name. | ||
<br> | ||
<br> | ||
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||
<!--<p style="font-size:20px">Ilaria Capua</p> | ||
<p style="font-size:13px">One Health Center of Excellence (University of Florida, | ||
US)</p> | ||
<br>--> | ||
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<p style="font-size:20px">Matteo Chiara</p> | ||
<p style="font-size:13px">Università degli Studi di Milano Statale (IT)</p> | ||
<br> | ||
</td> | ||
</tr> | ||
<tr> | ||
<td> | ||
<h3 class="text-primary">Resources acknowledgements</h3> | ||
We also acknowledge the support from Amazon Machine Learning Research | ||
Award "Data-driven Machine and Deep Learning for Genomics". | ||
</td> | ||
</tr> | ||
<!-- <tr> | ||
<td> | ||
<h3 class="text-primary">Operational collaborations</h1> | ||
The authors would like to thank the following researchers for their technical and knowledge contributions related to the ViruSurf project. | ||
<br> | ||
<br> | ||
<p style="font-size:20px">Tommaso Alfonsi</p> | ||
<p style="font-size:13px">Politecnico di Milano (IT)</p> | ||
<br> | ||
<p style="font-size:20px">Ruba Al Khalaf</p> | ||
<p style="font-size:13px">Politecnico di Milano (IT)</p> | ||
<br> | ||
<p style="font-size:20px">Damianos P. Melidis</p> | ||
<p style="font-size:13px">Leibniz University Hannover (DE)</p> | ||
<br> | ||
</td> | ||
</tr>--> | ||
</tbody> | ||
</table> | ||
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