Background Gene expression datasets in model plants such as Arabidopsis have
contributed to our understanding of gene function and how a single underlying biological …

Gene co-expression analysis has been widely used for predicting gene functions because
genes within modules of a co-expression network may be involved in similar biological …

Large-scale transcriptional studies aim to decipher the dynamic cellular responses to a
stimulus, like different environmental conditions. In the era of high-throughput omics biology …

We developed a genome-wide transcriptomic atlas of grapevine (Vitis vinifera) based on 54
samples representing green and woody tissues and organs at different developmental …

Representing large biological data as networks is becoming increasingly adopted for
predicting gene function while elucidating the multifaceted organization of life processes. In …

Gene co-expression networks (GCNs) have not been extensively studied in non-model
plants. However, the rapid accumulation of transcriptome datasets in certain species …

Background Predicted climate changes announce an increase of extreme environmental
conditions including drought and excessive heat and light in classical viticultural regions …

Background Genomic data release for the grapevine has increased exponentially in the last
five years. The Vitis vinifera genome has been sequenced and Vitis EST, transcriptomic …

Abstract Background The family Vitaceae consists of many different grape species that grow
in a range of climatic conditions. In the past few years, several studies have generated …

We report the analysis and annotation of 146,075 expressed sequence tags from Vitis
species. The majority of these sequences were derived from different cultivars of Vitis …