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NGS data for natural GMO discovery and investigation. / Matveeva, Tatiana ; Khafizova , Galina ; Zhurbenko, Peter.

Bioinformatics: From Algorithms to Applications (BiATA'21): conference proceedings. SPb, 2021. p. 9.

Research output: Chapter in Book/Report/Conference proceedingConference abstractsResearchpeer-review

Harvard

Matveeva, T, Khafizova , G & Zhurbenko, P 2021, NGS data for natural GMO discovery and investigation. in Bioinformatics: From Algorithms to Applications (BiATA'21): conference proceedings. SPb, pp. 9, 5th International Conference on Bioinformatics - From Algorithms to Applications (BIATA), Санкт-Петербург, Russian Federation, 12/07/21.

APA

Matveeva, T., Khafizova , G., & Zhurbenko, P. (2021). NGS data for natural GMO discovery and investigation. In Bioinformatics: From Algorithms to Applications (BiATA'21): conference proceedings (pp. 9).

Vancouver

Matveeva T, Khafizova G, Zhurbenko P. NGS data for natural GMO discovery and investigation. In Bioinformatics: From Algorithms to Applications (BiATA'21): conference proceedings. SPb. 2021. p. 9

Author

Matveeva, Tatiana ; Khafizova , Galina ; Zhurbenko, Peter. / NGS data for natural GMO discovery and investigation. Bioinformatics: From Algorithms to Applications (BiATA'21): conference proceedings. SPb, 2021. pp. 9

BibTeX

@inbook{6c122309a98b4a1f9874c53bbe5833e6,
title = "NGS data for natural GMO discovery and investigation",
author = "Tatiana Matveeva and Galina Khafizova and Peter Zhurbenko",
year = "2021",
language = "English",
pages = "9",
booktitle = "Bioinformatics: From Algorithms to Applications (BiATA'21)",
note = "null ; Conference date: 12-07-2021 Through 15-07-2021",

}

RIS

TY - CHAP

T1 - NGS data for natural GMO discovery and investigation

AU - Matveeva, Tatiana

AU - Khafizova , Galina

AU - Zhurbenko, Peter

PY - 2021

Y1 - 2021

UR - https://biata2021.spbu.ru/wp-content/uploads/2021/11/BiATA-2021-abstracts.pdf

M3 - Conference abstracts

SP - 9

BT - Bioinformatics: From Algorithms to Applications (BiATA'21)

CY - SPb

Y2 - 12 July 2021 through 15 July 2021

ER -

ID: 89227039