Latest Community News

2023 International Year of Millets Webinars Available Online

The Food and Agriculture Organization (FAO) of the United Nations declared 2023 the International Year of Millets (IYM 2023) and, along with stakeholders, organized events and outreach activities. Recordings of their fascinating webinar series, as well as other events and

CSI Seminar Luis Herrera-Estrella, May 14 at 11 AM CT

The Center for Sorghum Improvement (CSI) is hosting a virtual seminar given by Luis Herrera-Estrella, President’s Distinguished Professor of Plant Genomics and Director of Institute of Genomics for Crop Abiotic Stress at Texas Tech University, on Tuesday, May 14 at 11:00 AM CT. The title of his talk is “Deciphering Key Regulators Orchestrating Root Penetration in Compacted Soil.”

Empowering Undergraduate Scientists: Crowdsourcing Gene Curation for Precision Biology

Tapping into undergraduate science majors as gene curators presents a promising solution, particularly when integrated into coursework activities.

Recent Research

HPC-GVCW: Accelerating SNP Detection in Major Crops through High-Performance Computing and Parallelized Workflows

HPC-GVCW offers a high-performance computing-based workflow for rapid SNP detection in major crops, significantly reducing execution times and facilitating the exploration of genetic diversity essential for molecular-assisted selection breeding programs.

Unveiling Conservation in Plant Extracellular Vesicle Proteomes: A Sorghum and Arabidopsis Study

This study on Sorghum bicolor and Arabidopsis thaliana extracellular vesicles reveals partial conservation in protein content, providing crucial insights into the dynamic nature of intercellular communication and defense responses in plant cells.

Enhancing Accuracy in Plant RNA-Seq Analysis Through Spike-in Normalization

Spike-in normalization improves the accuracy and reliability of differential gene expression analysis in plant RNA-Seq experiments, particularly under conditions where experimental factors significantly influence gene expression dynamics.

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