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The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains

Authors :
Tatiana N. Lakhova
Pavel S. Demenkov
Sergey A. Lashin
Fedor V. Kazantsev
Alexandra I. Klimenko
Aleksey M. Mukhin
Source :
Lecture Notes in Computer Science ISBN: 9783030863586, PaCT
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

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.

Details

ISBN :
978-3-030-86358-6
ISBNs :
9783030863586
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science ISBN: 9783030863586, PaCT
Accession number :
edsair.doi...........aa6e251f2ac13ad269fa98ac4097938d
Full Text :
https://doi.org/10.1007/978-3-030-86359-3_34