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The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains. / Mukhin, Aleksey M.; Kazantsev, Fedor V.; Klimenko, Alexandra I. и др.

Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings. ред. / Victor Malyshkin. Springer Science and Business Media Deutschland GmbH, 2021. стр. 445-450 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12942 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Mukhin, AM, Kazantsev, FV, Klimenko, AI, Lakhova, TN, Demenkov, PS & Lashin, SA 2021, The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains. в V Malyshkin (ред.), Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 12942 LNCS, Springer Science and Business Media Deutschland GmbH, стр. 445-450, 16th International Conference on Parallel Computing Technologies, PaCT 2021, Kaliningrad, Российская Федерация, 13.09.2021. https://doi.org/10.1007/978-3-030-86359-3_34

APA

Mukhin, A. M., Kazantsev, F. V., Klimenko, A. I., Lakhova, T. N., Demenkov, P. S., & Lashin, S. A. (2021). The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains. в V. Malyshkin (Ред.), Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings (стр. 445-450). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12942 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86359-3_34

Vancouver

Mukhin AM, Kazantsev FV, Klimenko AI, Lakhova TN, Demenkov PS, Lashin SA. The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains. в Malyshkin V, Редактор, Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. стр. 445-450. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86359-3_34

Author

Mukhin, Aleksey M. ; Kazantsev, Fedor V. ; Klimenko, Alexandra I. и др. / The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains. Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings. Редактор / Victor Malyshkin. Springer Science and Business Media Deutschland GmbH, 2021. стр. 445-450 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@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",

}

RIS

TY - GEN

T1 - The Web Platform for Storing Biotechnologically Significant Properties of Bacterial Strains

AU - Mukhin, Aleksey M.

AU - Kazantsev, Fedor V.

AU - Klimenko, Alexandra I.

AU - Lakhova, Tatiana N.

AU - Demenkov, Pavel S.

AU - Lashin, Sergey A.

N1 - Publisher Copyright: © 2021, Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Application

KW - Architecture

KW - Database

KW - Genome data

KW - Microbial data

KW - Process

KW - Web

UR - http://www.scopus.com/inward/record.url?scp=85115317157&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-86359-3_34

DO - 10.1007/978-3-030-86359-3_34

M3 - Conference contribution

AN - SCOPUS:85115317157

SN - 9783030863586

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 445

EP - 450

BT - Parallel Computing Technologies - 16th International Conference, PaCT 2021, Proceedings

A2 - Malyshkin, Victor

PB - Springer Science and Business Media Deutschland GmbH

T2 - 16th International Conference on Parallel Computing Technologies, PaCT 2021

Y2 - 13 September 2021 through 18 September 2021

ER -

ID: 34267555