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Informed top down proteomics. Building Django apps

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Introduction.

Proteomics is the large-scale study of proteins. The applications of bioinformatics-based proteomics includes medicine, disease diagnosis, biomarker identification, and many more.

The aim here is to start messing around with the openly available PRIDE and other proteomics data sources and build an application in Django.

Sources of data and inspiration for the study.

Top down proteomics. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5578875/ Access to data. https://www.genome.jp/ Golden age for public proteomics data. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414595/ Pride database for proteomics data. https://www.ebi.ac.uk/pride/archive/

Question

Visit Expasy.org This is also a great resource for all bioinformatics sources.

This brings yout toUniprot Protein Knowledgebase with functional information and rich manual and automated annotation

Methods.

Django, Heroku, SQLalchemy, python, Rshiny deployed through

Results

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