The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains

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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.

Original languageEnglish
Title of host publicationParallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings
EditorsVictor Malyshkin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages445-450
Number of pages6
ISBN (Print)9783030863586
DOIs
Publication statusPublished - 2021
Event16th International Conference on Parallel Computing Technologies, PaCT 2021 - Kaliningrad, Russian Federation
Duration: 13 Sep 202118 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12942 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Parallel Computing Technologies, PaCT 2021
CountryRussian Federation
CityKaliningrad
Period13.09.202118.09.2021

Keywords

  • Application
  • Architecture
  • Database
  • Genome data
  • Microbial data
  • Process
  • Web

OECD FOS+WOS

  • 1.02 COMPUTER AND INFORMATION SCIENCES
  • 1.01 MATHEMATICS

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