{'fraction_non_alphanumeric': 0.010676156583629894, 'fraction_numerical': 0.0, 'mean_word_length': 5.752, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Construction techniques of Baikal microbiome research information-computational environment

A toolset and model data sources for research and developing an environment for Next Generation Sequencing data processing are considered in the paper. The environment is constructed on the base of model transformations targeted to industrial grade systems allowing domain specialists to carry on the Next Generation Sequencing research, which includes genetic data processing, visualization, and data integration. The integration allows one to get rid of restrictions imposed by an application library by its operation set and properties. The technique of the transformation is based on Model DrivenArchitecture principles and logical inference of the derived models and the code. The current results and the future fork are presented and discussed.