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Statistical problems of clusters of transcription factor binding sites in plant genomes. / Dergilev, Arthur; Orlov, Yuriy L.

Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 233-235 9214705 (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Dergilev, A & Orlov, YL 2020, Statistical problems of clusters of transcription factor binding sites in plant genomes. in Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020., 9214705, Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020, Institute of Electrical and Electronics Engineers Inc., pp. 233-235, 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020, Novosibirsk, Russian Federation, 06.07.2020. https://doi.org/10.1109/CSGB51356.2020.9214705

APA

Dergilev, A., & Orlov, Y. L. (2020). Statistical problems of clusters of transcription factor binding sites in plant genomes. In Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 (pp. 233-235). [9214705] (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSGB51356.2020.9214705

Vancouver

Dergilev A, Orlov YL. Statistical problems of clusters of transcription factor binding sites in plant genomes. In Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 233-235. 9214705. (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020). doi: 10.1109/CSGB51356.2020.9214705

Author

Dergilev, Arthur ; Orlov, Yuriy L. / Statistical problems of clusters of transcription factor binding sites in plant genomes. Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 233-235 (Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020).

BibTeX

@inproceedings{5b3d4dacb7f741ec978705c7d801e745,
title = "Statistical problems of clusters of transcription factor binding sites in plant genomes",
abstract = "This work presents the results of using computer scripts to analyze ChIP-seq data, calculate clusters, and visualize them in the form of heat maps. In the work, ChIP-seq peaks were used to study the stem cell niche of three plants, among which the well-known Talus (Arabidopsis Thailana), Physcomitrella patens, Chlamydomonas reinhardti. What about the tendency of co-localization of transcription factors in plant genomes? What are the features of this co-localization?.",
keywords = "binding sites, ChIP-seq, gene expression, heatmaps, pattern search, stem cells, transcription",
author = "Arthur Dergilev and Orlov, {Yuriy L.}",
year = "2020",
month = jul,
doi = "10.1109/CSGB51356.2020.9214705",
language = "English",
series = "Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "233--235",
booktitle = "Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020",
address = "United States",
note = "2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 ; Conference date: 06-07-2020 Through 10-07-2020",

}

RIS

TY - GEN

T1 - Statistical problems of clusters of transcription factor binding sites in plant genomes

AU - Dergilev, Arthur

AU - Orlov, Yuriy L.

PY - 2020/7

Y1 - 2020/7

N2 - This work presents the results of using computer scripts to analyze ChIP-seq data, calculate clusters, and visualize them in the form of heat maps. In the work, ChIP-seq peaks were used to study the stem cell niche of three plants, among which the well-known Talus (Arabidopsis Thailana), Physcomitrella patens, Chlamydomonas reinhardti. What about the tendency of co-localization of transcription factors in plant genomes? What are the features of this co-localization?.

AB - This work presents the results of using computer scripts to analyze ChIP-seq data, calculate clusters, and visualize them in the form of heat maps. In the work, ChIP-seq peaks were used to study the stem cell niche of three plants, among which the well-known Talus (Arabidopsis Thailana), Physcomitrella patens, Chlamydomonas reinhardti. What about the tendency of co-localization of transcription factors in plant genomes? What are the features of this co-localization?.

KW - binding sites

KW - ChIP-seq

KW - gene expression

KW - heatmaps

KW - pattern search

KW - stem cells

KW - transcription

UR - http://www.scopus.com/inward/record.url?scp=85094822419&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=45180449

U2 - 10.1109/CSGB51356.2020.9214705

DO - 10.1109/CSGB51356.2020.9214705

M3 - Conference contribution

AN - SCOPUS:85094822419

T3 - Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

SP - 233

EP - 235

BT - Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

Y2 - 6 July 2020 through 10 July 2020

ER -

ID: 25841131