@inproceedings{317f49bb6bc84b259f221f15373ee5d5,
title = "The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains",
abstract = "Current biology tasks are impracticable without bioinformatic data processing. Information technologies and the newest computers provide the ability to automatically execute algorithms on an extensive data set and store either strong- or weak-structured data. A well-designed architecture of such data warehouses increases the reproducibility of investigations. However, it is challenging to create a data schema that aids fast search of properties in such warehouses. This paper describes the method and its implementation for storing and processing microbiological and bioinformatical data. The web platform stores genomes in FASTA format, genome annotations in table files that indicate gene coordinates in the genomes, structural and mathematical models to compare different strains and predict new properties.",
keywords = "Application, Architecture, Database, Genome data, Microbial data, Process, Web",
author = "Mukhin, {Aleksey M.} and Kazantsev, {Fedor V.} and Klimenko, {Alexandra I.} and Lakhova, {Tatiana N.} and Demenkov, {Pavel S.} and Lashin, {Sergey A.}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 16th International Conference on Parallel Computing Technologies, PaCT 2021 ; Conference date: 13-09-2021 Through 18-09-2021",
year = "2021",
doi = "10.1007/978-3-030-86359-3_34",
language = "English",
isbn = "9783030863586",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "445--450",
editor = "Victor Malyshkin",
booktitle = "Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings",
address = "Germany",
}