SoyCSN: Soybean context-specific network analysis and prediction based on tissue-specific transcriptome data.

ABSTRACT: The Soybean Gene Atlas project provides a comprehensive map for understanding gene expression patterns in major soybean tissues from flower, root, leaf, nodule, seed, and shoot and stem. The RNA-Seq data generated in the project serve as a valuable resource for discovering tissue-specific transcriptome behavior of soybean genes in different tissues. We developed a computational pipeline for Soybean context-specific network (SoyCSN) inference with a suite of prediction tools to analyze, annotate, retrieve, and visualize soybean context-specific networks at both transcriptome and interactome levels. BicMix and Cross-Conditions Cluster Detection algorithms were applied to detect modules based on co-expression relationships across all the tissues. Soybean context-specific interactomes were pre

SUBMITTER: Wang J 

PROVIDER: S-EPMC6747016 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature