• Learning about Oxford Nanopore and Next-Generation sequencing.
  • The lengthy procedure of retrieving patient sample, sample analysis, accessing results, and clinical diagnosis.
  • Patient's genome not taken into account when prescribing treatments

What it does

Making it easy for clinicians to use next generation sequencing to support their clinical diagnosis and improve patient outcomes by:

  • Making an instant diagnosis from genome sequencing, cutting lengthy procedures.
  • Identifying an effective treatment based on a patient's genome sequence, making personalised medicine possible.

How we built it

Web and Python

Challenges we ran into:

  • Hanz: Learning PHP, JQuery, and SQL in a short time.
  • Wai Ching: Learning Javascript, using it with html and css to create the user interface. Worked in the end though.
  • Abi: Waking up on time
  • Kunal: Downloading a 6GB SAM file, trying to parse it in python, creating a database and the biggest challenge, creating a sequence comparison tool in python (Couldn't do it the night before, managed to do it in 2 hours in the morning with help from Hanz).

Accomplishments that we're proud of

  • Hanz: Working together with a multidisciplinary team, and improving my programming skills.
  • Wai Ching: Learning javascript, building my first website that works.
  • Kunal: Completing my python program after hours of error messages.

What we learned

  • Hanz: PHP, Jquery, and SQL.
  • Wai Ching: Javascript.
  • Kunal: Database Integration, Comparing data structures in python, genome sequencing methods and background info.

What's next for G-nomes

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