Team:HFUT-China/Collaborations
collaboration
We have a good time working with other teams this year ~ :p
1.University of Science and Technology of China : USTC
We went to the School of Life Sciences, University of Science and Technology of China(USTC) to meet up with USTC and USTC-Software.
In their laboratory, the team members of USTC showed us the using methods of some biology experimental devices, like centrifuge, shaker, PCR machine, electrophoresis bath, etc. We also learned how to use a pipette. Since there is no wet lab in our schoole, this introduction gave us a clear recognition of how synthetic biology researchers work, which make us more interested in synthetic biology.
To make our software more user-friendly, we asked how they would search for information once they had determined the topic of their project. We introduced our project to them and asked for the most needed function or content that they are expecting in our project. They have provided much information to us, which is really helpful.
The team leader of USTC interpreted the composition of gene chains for us and the process of assembling a gene chain. Furthermore, they gave us some advice about the information we provided and thought it could bring a lot convenience for them.
2.University of Science and Technology of China : USTC-Software
Since we both are software teams, we kept communicating with USTC-Software all along. We made a deal to test and give feedback each other’s system after finishing it. They pointed out some defects existing in our system in a professional view and we also made some changes according to it. In return, we tested their system and also gave some suggestions.
3.Northeast Forestry University : NEFU_China
As software teams, we take advantage of our software techniques and provided support for their wiki, especially the format of their wiki. In return, they helped us to test our software and gave us some suggestion. One of the team members thought that the searching function for wiki is excellent!!
4.Ocean University of China : OUC-China
In the information era, it is almost impossible to achieve success through one’s personal effort, and synthetic biology is without exception. To make our software better meet the requirement of synthetic biologists, we collaborate with OCU-China.
We exchanged a lot of information and they helped us test our software.
5.Lanzhou University : Lanzhou
We helped Lanzhou University with human practice project. They sent a questionnaire, titled “Present Situation of iGEM Teams in Chinese Colleges and Universities”, and we provided information for them through a video meeting.
Lanzhou University helped test out system and gave us many valuable suggestions, according to which we improved our system.
6.Xiamen University : XMU
Xiamen University team tested our system and gave some detailed suggestions about our system. They expressed appreciation for the fine-looking exterior as well as the pictures of the system. They also thought the information we provided was of positive reference value to them and the function of designing gene chains was really convenient.
7.Nankai University : NKU
We are happy to try out the search engine made by team HFUT-China, it really gave us a great experience. By typing the keyword, selecting track and team categories, we can search the relevant teams’ information, including the team name, year, project introduction, awards, HP, part, or even links of related projects. It’s very convenient.
However, there are still some small problems about the page. Considering iGEM teams come from all over the world, we suggest adding a translate feature, putting some of the basic information out of the local dialect with the Google translation interface.
8. Technische Universitaet Darmstadt : TU_Darmstadt
9. University of Oslo, Norway : UiOslo_Norway
Dejana from UiOslo tried our system, and though it was a very good idea to have a searching engine for different projects, teams, biobricks, etc. in previous years. It is effective – saves a lot of time which is very precious to all of us.
Recommending semantically similar keywords to inspire further searching is great! I liked design of user interface, especially the Gene Relationship part – quite simple and elegant.
