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Revision as of 00:57, 18 October 2018

iGEM Collaborations Page

☰

Team: IIT-Madras/ADaPtat1on

Collaborations

Language Project Collaborations

The collaboration involves sending the English script to the collaborator, who translate it into another language record the translated script and send us the audio file(s). We stitch together the audio clips and the presentation slides to make the video.
We have had 13 different iGEM teams collaborate with us, resulting in language project videos in 17 different languages for a total of 25 videos.

  1. Pasteur Paris iGEM team: French - Introduction to Synthetic Biology
  2. NYU Abu Dhabi
    • Mandarin - Introduction to Synthetic Biology
    • Bosnian - Introduction to Synthetic Biology
    • Korean - Introduction to Synthetic Biology
    • Arabic - DNA & RNA
  3. Warwick
    • Malay - Introduction to Synthetic Biology
    • Catalan - Introduction to Synthetic Biology
  4. Tec de MonterreySpanish - Introduction to Synthetic Biology
  5. Anhui University of Technology-iGEM teamChinese - Introduction to Synthetic Biology
  6. ECUST iGEM teamMandarin - DNA & RNA
  7. iGEM Ruia Mumbai
    • Assamese - Introduction to Synthetic Biology
    • Sanskrit - Introduction to Synthetic Biology
    • Tulu - Introduction to Synthetic Biology
    • Bhojpuri - Introduction to Synthetic Biology
  8. ICT Mumbai
    • Urdu - Introduction to Synthetic Biology
    • Marathi - Central Dogma and Translation
  9. Paris 2018
    • Italian - DNA & RNA
    • French - DNA & RNA
    • Persian - Introduction to Synthetic Biology
  10. Team NUS SingaporeKorean - DNA & RNA
  11. Hamburg Team
    • German - Introduction to Synthetic Biology
    • Polish - Introduction to Synthetic Biology
  12. BiomarvekKorean - Intro to Synthetic Biology
  13. IGEM Nanjing ChinaMndarin - Protiens

Share your healthy recipe: We shared an indigenous Western Indian recipe which has been shown to keep blood glucose level in check for diabetes patients.

Mentored the Mohali team regarding their modelling which helped them in evolving their algorithm.

ChassiDex is a database of host organisms containing all the information needed to work with the organism listed. The following two teams helped us out by by providing data on different chassis which was further curated and put up on our database.
Marburg: Data on Vibrio natriegens.
SKLMT China: Data on Psuedomonas fluorescens.