Bacterial transcription factor binding site inference as the basis for the study of plant-microbial interactions

Abstract book of the 2nd International Scientific Conference "Plants and Microbes: the Future of Biotechnology" PLAMIC2020 ◽

10.28983/plamic2020.183 ◽

2020 ◽

Author(s):

Ye. A. Nikolaichik

Keyword(s):

Transcription Factor ◽

In Silico ◽

In Silico Analysis ◽

Microbial Interactions ◽

Regulatory Sequences ◽

Factor Binding Site ◽

Regulatory Interactions ◽

Bacterial Transcription ◽

Genome Wide ◽

Silico Analysis

Genome-wide in silico analysis of bacterial regulatory sequences reveals new regulatory interactions, is generally accessible and should become the standard in the study of plant-microbial interactions.

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Genome wide in silico analysis of AP2/ERF transcription factor in Arachis duranensis

2018 International Conference on Bioinformatics and Systems Biology (BSB) ◽

10.1109/bsb.2018.8770523 ◽

2018 ◽

Author(s):

Mrinalini Prasad ◽

Chaturvedi Ambika ◽

Saraswat Pooja ◽

Prem Kumar Dantu ◽

Rajiv Ranjan

Keyword(s):

Transcription Factor ◽

In Silico ◽

In Silico Analysis ◽

Genome Wide ◽

Arachis Duranensis ◽

Silico Analysis ◽

Erf Transcription Factor

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Genome-wide in silico analysis of dehydrins in Sorghum bicolor, Setaria italica and Zea mays and quantitative analysis of dehydrin gene expressions under abiotic stresses in Sorghum bicolor

Plant Gene ◽

10.1016/j.plgene.2018.01.004 ◽

2018 ◽

Vol 13 ◽

pp. 64-75 ◽

Cited By ~ 11

Author(s):

M. Nagaraju ◽

Palakolanu Sudhakar Reddy ◽

S. Anil Kumar ◽

Anuj Kumar ◽

Prashanth Suravajhala ◽

...

Keyword(s):

Zea Mays ◽

Quantitative Analysis ◽

Sorghum Bicolor ◽

In Silico ◽

Abiotic Stresses ◽

In Silico Analysis ◽

Gene Expressions ◽

Genome Wide ◽

Dehydrin Gene ◽

Silico Analysis

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An in silico analysis of genome-wide expression profiles of the effects of exhaustive exercise identifies heat shock proteins as the key players

Meta Gene ◽

10.1016/j.mgene.2022.101012 ◽

2022 ◽

pp. 101012

Author(s):

Carlos A. Orozco ◽

Yeimy González-Giraldo ◽

Diego A. Bonilla ◽

Diego A. Forero

Keyword(s):

Heat Shock ◽

Heat Shock Proteins ◽

In Silico ◽

Expression Profiles ◽

In Silico Analysis ◽

Genome Wide ◽

Key Players ◽

Shock Proteins ◽

Genome Wide Expression ◽

Silico Analysis

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Genome-Wide Comparative In Silico Analysis of the RNA Helicase Gene Family in Zea mays and Glycine max: A Comparison with Arabidopsis and Oryza sativa

PLoS ONE ◽

10.1371/journal.pone.0078982 ◽

2013 ◽

Vol 8 (11) ◽

pp. e78982 ◽

Cited By ~ 15

Author(s):

Ruirui Xu ◽

Shizhong Zhang ◽

Jinguang Huang ◽

Chengchao Zheng

Keyword(s):

Zea Mays ◽

Oryza Sativa ◽

Glycine Max ◽

Gene Family ◽

In Silico ◽

In Silico Analysis ◽

Rna Helicase ◽

Genome Wide ◽

Helicase Gene ◽

Silico Analysis

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Integrative In Silico Analysis of Genome-Wide DNA Methylation Profiles in Schizophrenia

Journal of Molecular Neuroscience ◽

10.1007/s12031-020-01585-w ◽

2020 ◽

Vol 70 (11) ◽

pp. 1887-1893

Author(s):

Diego A. Forero ◽

Yeimy González-Giraldo

Keyword(s):

Dna Methylation ◽

In Silico ◽

In Silico Analysis ◽

Genome Wide ◽

Silico Analysis

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IN SILICO ANALYSIS OF THE Dof TRANSCRIPTION FACTOR FAMILY IN Coffea canephora

Colloquium Agrariae ◽

10.5747/ca.2018.v14.n4.a253 ◽

2018 ◽

Vol 14 (4) ◽

pp. 99-111

Author(s):

Vinícius Garcia ◽

Alessandra Ferreira Ribas ◽

Luiz Gonzaga Esteves Vieira ◽

Tiago Benedito dos Santos

Keyword(s):

Transcription Factor ◽

Dna Binding ◽

In Silico ◽

In Silico Analysis ◽

Coffea Canephora ◽

Transcription Factor Family ◽

Dof Transcription Factor ◽

Silico Analysis

A família Dof(DNA-binding with One Finger) é um grupo de fatores de transcrição que desempenham papéis importantes no crescimento, desenvolvimento e na resposta das plantas aos estresses bióticos e abióticos. Os genes Dofforam identificados e caracterizados em várias espécies de plantas;entretanto até o presente momento não há informações sobre esses genes em café. No presente estudo foram identificados 24 membros da família Dofno genoma de C. canephoradepositados no banco de dados Coffee Genome Hub. Análises sistemáticas de bioinformática foram realizadas para caracterizar os genes DofemC. canephora, incluindo a análise desequênciasgenômicas, domínios proteicos conservados, localizações subcelulares, relações filogenéticas e perfis de expressão gênica em diferentes tecidos. Os resultados obtidos fornecem uma melhor compreensãosobre a família dos genes CcDofpermitindo projetar experimentos futuros para caracterização molecular dessesgenes no cafeeiro.

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