Team:SCU-China/Contribution

RNAlphABA

Experiment

In the results, we provided a set of methods for bacterial contamination by 16S rDNA sequencing and selecting appropriate antibiotics.
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Parts

We upload 14 basic parts and 14 composite parts to the Part's Registry, and expressed them in Saccharomyces cerevisiae.
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Add new measurement data to two promoter parts:
BBa_K319003 pTEF1
BBa_K431009 pGAP

Modeling

We provide a method for modeling enzymatic reactions without kinetic parameters through data fitting, which will help iGEMers to better cope with poorly studied enzymatic reactions in the future.
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We have provided the transcriptional-translation models of prokaryotes and eukaryotes, which may provide new ideas for future modeling work.
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Software

We predicted the LSC weather by using the random forest model, which may help introduce the random forest algorithms into the prediction of climate phenomena.
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HP

Through collaboration with several iGEM teams, we showcased pasta dishes from different regions of China, helping iGEMers from all over the world to better understand Chinese food culture.
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RNAlphABA >

  • College of Life Science in Sichuan University,
    NO.29 Wangjiang Road, Chengdu, Sichuan, China
  • +86 13308049545
  • scu_igem@163.com
@2020 SCU-China RNAlphABA