"
Team:USTC-Software
From 2011.igem.org
(Difference between revisions)
| Line 386: | Line 386: | ||
/* end of content */ | /* end of content */ | ||
| - | /* | + | /* mfooter */ |
| - | # | + | #mfooter { |
width: 980px; | width: 980px; | ||
margin: 0 auto; | margin: 0 auto; | ||
| Line 397: | Line 397: | ||
} | } | ||
| - | # | + | #mfooter a { |
color: #000000; | color: #000000; | ||
} | } | ||
| - | # | + | #mfooter .mfooter_menu { |
margin: 0 0 10px 0; | margin: 0 0 10px 0; | ||
padding: 0px; | padding: 0px; | ||
| Line 407: | Line 407: | ||
} | } | ||
| - | . | + | .mfooter_menu li { |
margin: 0px; | margin: 0px; | ||
padding: 0 20px; | padding: 0 20px; | ||
| Line 414: | Line 414: | ||
} | } | ||
| - | . | + | .mfooter_menu .last_menu { |
border: none; | border: none; | ||
} | } | ||
| - | # | + | #mfooter #to_top_box { |
position:fixed; | position:fixed; | ||
width: 73px; | width: 73px; | ||
| Line 435: | Line 435: | ||
| - | /* end of | + | /* end of mfooter */ |
</style> | </style> | ||
| Line 568: | Line 568: | ||
</div> <div id="content_wrapper_bottom"></div> <!-- end of content_wrapper --> | </div> <div id="content_wrapper_bottom"></div> <!-- end of content_wrapper --> | ||
| - | <div id=" | + | <div id="mfooter"> |
| - | <ul class=" | + | <ul class="mfooter_menu"> |
<li><a href="#">Home</a></li> | <li><a href="#">Home</a></li> | ||
<li><a href="https://2011.igem.org/Team:USTC-Software/project" target="_parent">Project</a></li> | <li><a href="https://2011.igem.org/Team:USTC-Software/project" target="_parent">Project</a></li> | ||
| Line 586: | Line 586: | ||
| - | <!-- end of | + | <!-- end of mfooter --> |
</body> | </body> | ||
</html> | </html> | ||
Revision as of 14:31, 23 July 2011
USTC_Software
Project Description
USTC 2011 DRY TEAM as a one has worked diligently on designing and implementing a user friendly and interacting-prone software which will get nearer to biology reality and free synthetic biologist from considering unnecessary minutia as well as help both layman and expert draw deep understanding of the mechanism on how the gene circuit run.
We offer a visualizing tool which give insight into the dynamics of a biology network. User dominated parameter adjustment process is also provided to assist in getting the required behavior. In order to assess the network’s immunology to parameter perturbation, a PCA analysis approach is exploited to depict the structure of a “good” behaved region.
