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Dataset Information

Genome-wide dynamic network analysis reveals a critical transition state of flower development in Arabidopsis.


ABSTRACT:

Background

The flowering transition which is controlled by a complex and intricate gene regulatory network plays an important role in the reproduction for offspring of plants. It is a challenge to identify the critical transition state as well as the genes that control the transition of flower development. With the emergence of massively parallel sequencing, a great number of time-course transcriptome data greatly facilitate the exploration of the developmental phase transition in plants. Although some network-based bioinformatics analyses attempted to identify the genes that control the phase transition, they generally overlooked the dynamics of regulation and resulted in unreliable results. In addition, the results of these methods cannot be self-explained.

Results

In this

SUBMITTER: Zhang F 

PROVIDER: S-EPMC6323737 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature