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Webinar
Podcast series: Multi-omic sample preparation for agricultural research
Watch our short vlogs or listen to our audio podcast on workflows being developed in the field to help increase the efficiency of agrigenomics research for applications such as plant and animal genotyping and metagenomic analysis.
For research use only. Not for use in diagnostic procedures.
In under 10 mins – Q&A series
In this episode, Dr. Charlie Johnson, director of the Texas A&M AgriLife Genomics and Bioinformatics Service (TxGen) and Caleb, research and applications lab manager at Revvity answer questions around process verification and operational lab practices in automation and for microbial research from tough matrices.
In this episode, Caleb Proctor, research and applications lab manager, offers tips from his experience at the bench supporting numerous applications, ranging from technical validations to process implementation of bead-beating into workflows. See our list of popular protocols and applications.
Audio podcasts
Podcast 1 (28 mins): Dr. Charlie Johnson, director of the Texas A&M AgriLife Genomics and Bioinformatics Service (TxGen), delves into the current state of high-throughput genomics systems for plant and animal genotyping. He elaborates on his lab's collaboration with Revvity to develop a cost-effective, high-throughput genotyping pipeline tailored for agricultural research. This innovative approach involves the following thought leadership on:
- optimized laboratory processing by automation
- extensive sample multiplexing and the integration of machine-learning techniques
These strategies collectively yield highly accurate genotype information from low-coverage sequencing data, facilitating precise and cost-effective genotyping of large populations in plant and animal studies. The achievement is attributed to the optimization of the entire library preparation workflow, spanning sample homogenization, nucleic acid isolation, automated library prep, and high-throughput sequencing, coupled with a reduction in the required data per sample.
Learn more about our bead mill homogenizers.