Biostica

No code bioinformatics platform for terrified biologists

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Inspiration

Most biologists dislike maths and statistics (yeah we do). However, maths is unavoidable, and the advanced level of maths and its applications (such as machine learning), are frequently applied to analyze complex biological datasets. Machine learning is mostly applied to 6 biological domains, including genomics, proteomics, microarrays, systems biology, evolution, and text mining.

Inspired by the book Statistics for Terrified Biologists, we would like to build a no-code bioinformatics platform for biologists to analyze their data.

What it does

Web app

  • Users can login/ register

  • Users choose the type of analysis

  • Users can upload a dataset

  • Users can clean the dataset

  • Users select statistics test and parameters

  • Users can view results and customize the layout for export

Machine learning models

  • Predict gene function based on the DNA coding sequence

How we built it

  • Web app concept using Figma

  • Machine learning models using Python

  • Web app using HTML, CSS, Flask

Challenges we ran into

Our initial plan was to link the machine learning models to a web app. However, none of us are familiar with web development, and we spent a lot of time working on the integration.

Accomplishments that we're proud of

We have built a working prototype!

What we learned

We learnt a lot about bioinformatics, machine learning and web development

What's next for Biostica

Genomic analysis

  • Analysis of RNA-seq/ ChIP-seq data

Filter data

  • Options for users to clean data via the platform
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