Difference between revisions of "Team:Vilnius-Lithuania"

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                     <h1>Software.<br>
 
                     <h1>Software.<br>
 
                     Metagenomic mining</h1>
 
                     Metagenomic mining</h1>
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                     <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec non vulputate nunc, id dignissim lacus. Proin sodales nunc sit amet eros suscipit, nec condimentum turpis dapibus. Nullam vitae tortor ut augue tempus tempus commodo ut enim. Integer faucibus non enim eu hendrerit. Praesent sed lacinia ante, at imperdiet eros. Morbi elementum dolor nibh, ac aliquet odio dictum at. Fusce urna sapien, commodo non convallis et, interdum sit amet lorem. In tincidunt bibendum nisl a placerat. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. </p>      <br>
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                     <p>While searching for proteins with light-inducible domains, we managed to build software that enables the user to quickly and effortlessly discover proteins of interest by scanning through terabytes of metagenomic sequences. Our software takes advantage of MG-RAST database API and allows users to search & download hundreds of thousands of metagenomic samples to our server with just one click in their web-browser. Then it automatically standardizes and cleans the selected sequences to prepare them for further analysis. The user can choose from a variety of pre-made protein profiles obtained from the Pfam database; the primary tool used for similarity search is HMMER. This way, our software eliminates the previously required workload & knowledge and opens up the true potential of metagenomic research.</p>      <br>
 
<a href="https://2019.igem.org/Team:Vilnius-Lithuania/Software">READ MORE</a>             
 
<a href="https://2019.igem.org/Team:Vilnius-Lithuania/Software">READ MORE</a>             
 
                 </div>
 
                 </div>

Revision as of 22:34, 21 October 2019

Project Description

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec non vulputate nunc, id dignissim lacus. Proin sodales nunc sit amet eros suscipit, nec condimentum turpis dapibus. Nullam vitae tortor ut augue tempus tempus commodo ut enim. Integer faucibus non enim eu hendrerit. Praesent sed lacinia ante, at imperdiet eros. Morbi elementum dolor nibh, ac aliquet odio dictum at. Fusce urna sapien, commodo non convallis et, interdum sit amet lorem. In tincidunt bibendum nisl a placerat. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos.


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Software.
Metagenomic mining

While searching for proteins with light-inducible domains, we managed to build software that enables the user to quickly and effortlessly discover proteins of interest by scanning through terabytes of metagenomic sequences. Our software takes advantage of MG-RAST database API and allows users to search & download hundreds of thousands of metagenomic samples to our server with just one click in their web-browser. Then it automatically standardizes and cleans the selected sequences to prepare them for further analysis. The user can choose from a variety of pre-made protein profiles obtained from the Pfam database; the primary tool used for similarity search is HMMER. This way, our software eliminates the previously required workload & knowledge and opens up the true potential of metagenomic research.


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Modeling

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec non vulputate nunc, id dignissim lacus. Proin sodales nunc sit amet eros suscipit, nec condimentum turpis dapibus. Nullam vitae tortor ut augue tempus tempus commodo ut enim. Integer faucibus non enim eu hendrerit. Praesent sed lacinia ante, at imperdiet eros. Morbi elementum dolor nibh, ac aliquet odio dictum at. Fusce urna sapien, commodo non convallis et, interdum sit amet lorem. In tincidunt bibendum nisl a placerat. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos.


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Public engagement
AND human practices

The beginning of 2019 was marked by a WHO statement exposing a health crisis caused by the movement of anti-vaccination. In February we witnessed the pinnacle of this movement in Lithuania, where it manifested through the outbreak of measles. It came to light that many people are having doubts about the validity of scientific findings, and, therefore, turn to other sources for information, for example, famous people in the media, who have little to no scientific knowledge. People do not take science seriously and these views are both manifested and fueled through the media. Naturally, we raised a question – what is the cause of the miscommunication and disagreement? What is the main culprit of science skepticism?


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