/DNA-Sequence-Analysis

DNA Sequence Analysis using Biopython and Squiggle

Primary LanguageJupyter NotebookMIT LicenseMIT

DNA-Sequence-Analysis using ML techniques.

DNA Sequence Analysis using Biopython and Squiggle A genome is a complete collection of DNA in an organism. All living species possess a genome, but they differ considerably in size. As a data-driven science, genomics extensively utilizes machine learning to capture dependencies in data and infer new biological hypotheses. Nonetheless, the ability to extract new insights from the exponentially increasing volume of genomics data requires more powerful machine learning models. It has become the method of preference for many genomics modeling tasks, including predicting the influence of genetic variation on gene regulatory mechanisms such as DNA receptiveness and splicing. So here,we will understand DNA structure and how we can use ML to work on the DNA Sequence data. Till now in this , I have worked on DNA Data exploration only, further i will be elaborating it by making a a DNA classifier for various species as well.

For more information regarding the application of Biopython, check out the following :https://github.com/Soumya007-developer/Biopython