Protocol for applying a network-enabled gene discovery pipeline to non-model plant species

Identifying upstream regulators of key genes is essential for understanding gene regulatory mechanisms and translating these insights into functional targets. Here, we present a protocol for applying the network-enabled gene discovery pipeline (NEEDLE) to non-model plant species. We describe steps for environment setup, data preparation, computational analysis, expected outputs, and parameter considerations. NEEDLE integrates RNA sequencing (RNA-seq) processing, weighted gene co-expression analysis (WGCNA), Gene Network Inference with Ensemble of trees (GENIE3), and promoter conservation analysis to prioritize candidate transcriptional regulators. For complete details on the use and execution of this protocol, please refer to Ko and Brandizzi. 1

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Publication Details

Journal
STAR Protocols
Published
2026-06-18
DOI
https://doi.org/10.1016/j.xpro.2026.104641
Primary Topic
Bioinformatics and Genomic Networks
Type
article
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article

Protocol for applying a network-enabled gene discovery pipeline to non-model plant species

Federica Brandizzí, Dae Kwan Ko
STAR Protocols
Bioinformatics and Genomic Networks
article

Protocol for applying a network-enabled gene discovery pipeline to non-model plant species

Federica Brandizzí, Dae Kwan Ko
article en

Abstract

Identifying upstream regulators of key genes is essential for understanding gene regulatory mechanisms and translating these insights into functional targets. Here, we present a protocol for applying the network-enabled gene discovery pipeline (NEEDLE) to non-model plant species. We describe steps for environment setup, data preparation, computational analysis, expected outputs, and parameter considerations. NEEDLE integrates RNA sequencing (RNA-seq) processing, weighted gene co-expression analysis (WGCNA), Gene Network Inference with Ensemble of trees (GENIE3), and promoter conservation analysis to prioritize candidate transcriptional regulators. For complete details on the use and execution of this protocol, please refer to Ko and Brandizzi. 1

STAR ProtocolsVol. 7(3)
Great Lakes Bioenergy Research Center (US), Michigan State University (US)
Life in Land
Openalex Percentile: Top 10%
Bioinformatics and Genomic Networks
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