Representing large biological data as networks is becoming increasingly adopted for predicting gene function while elucidating the multifaceted organization of life processes. In grapevine (Vitis vinifera L.), network analyses have been mostly adopted to contribute to the understanding of the regulatory mechanisms that control berry composition. Whereas, some studies have used gene co-expression networks to find common pathways and putative targets for transcription factors related to development and metabolism, others have defined networks of primary and secondary metabolites for characterizing the main metabolic differences between cultivars throughout fruit ripening. Lately, proteomic-related networks and those integrating genome-wide an...
The analysis of grapevine (Vitis vinifera) berries at the transcriptomic, proteomic, and metabolomic...
This article belongs to the Special Issue Gene Regulatory Networks Controlling Secondary Metabolism ...
We developed an approach that integrates different network-based methods to analyze the correlation ...
Representing large biological data as networks is becoming increasingly adopted for predicting gene ...
Representing large biological data as networks is becoming increasingly adopted for predicting gene ...
The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the...
We developed an approach that integrates different network-based methods to analyze the correlation ...
More than two hundred transcriptomic studies are currently publicly available for grapevine. They ha...
Aggregation across multiple networks highlights robust co-expression interactions and improves the ...
Background: Genomic data release for the grapevine has increased exponentially in the last five year...
Background Genomic data release for the grapevine has increased exponentially in the last five years...
R2R3-MYB transcription factors (TFs) belong to a large and functionally diverse protein superfamily ...
The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the...
In recent years the scientific community has been heavily engaged in studying the grapevine response...
The analysis of grapevine (Vitis vinifera) berries at the transcriptomic, proteomic, and metabolomic...
This article belongs to the Special Issue Gene Regulatory Networks Controlling Secondary Metabolism ...
We developed an approach that integrates different network-based methods to analyze the correlation ...
Representing large biological data as networks is becoming increasingly adopted for predicting gene ...
Representing large biological data as networks is becoming increasingly adopted for predicting gene ...
The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the...
We developed an approach that integrates different network-based methods to analyze the correlation ...
More than two hundred transcriptomic studies are currently publicly available for grapevine. They ha...
Aggregation across multiple networks highlights robust co-expression interactions and improves the ...
Background: Genomic data release for the grapevine has increased exponentially in the last five year...
Background Genomic data release for the grapevine has increased exponentially in the last five years...
R2R3-MYB transcription factors (TFs) belong to a large and functionally diverse protein superfamily ...
The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the...
In recent years the scientific community has been heavily engaged in studying the grapevine response...
The analysis of grapevine (Vitis vinifera) berries at the transcriptomic, proteomic, and metabolomic...
This article belongs to the Special Issue Gene Regulatory Networks Controlling Secondary Metabolism ...
We developed an approach that integrates different network-based methods to analyze the correlation ...