Data Flux | Maker Electronics, Data Science, Visualizations, and Information Technology Management
Description: Maker Electronics, Data Science, Visualizations, and Information Technology Management
The human genome is a treasure trove of data that can be used to study diseases, develop medicines and more. However, analyzing the data can be difficult without the right tools and knowledge. In this tutorial we’ll explore how to build visualizations using Python and Jupyter Notebook in order to make sense of genetic information.
The word “gene” was first used in 1905 by Danish botanist Wilhelm Johannsen to describe heritable units of inheritance. DNA, or deoxyribonucleic acid, is the molecule that carries genetic information and is made up of nucleotides. These nucleotides are four different molecules: adenine (A), cytosine (C), guanine (G) and thymine (T). The sequence of these base pairs make up the human genome.
In 1953, James Watson and Francis Crick discovered the double helix structure of DNA when they studied X-ray diffraction images taken from crystalized samples of tobacco mosaic virus which had been wrapped around rods of nickel chromium steel (NiCr).
Data Flux | Maker Electronics, Data Science, Visualizations, and Information Technology Management