Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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 конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
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