Python has become a primary language in the field of bioinformatics and computational biology. It is one of the best programming languages for scientific computing, data analysis, and analytics. It is also widely used by mathematicians and statisticians to create data-driven applications. The advent of next-generation sequencing technologies has enabled a revolution in genomic research. Python is also very popular in genomics and bioinformatics community due to the fact that it provides high level of abstraction, large number of available packages and great visualization tools. Genomics is a rapidly growing field with many new tools and techniques being developed every year. It can be used for various applications such as data analysis, statistical analysis, simulation and visualization. They have been tested on several different systems. A few of the most popular Python Genomics open source libraries for developers are: deepvariant - analysis pipeline that uses a deep neural network; hail - Scalable genomic data analysis; pyGenomeTracks - python module to plot beautiful.
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