The Festival of Genomics, Biodata & AI
Discover more with innovative spatial, single-cell, and long-read technologies!

The 2026 Festival of Genomics, Biodata & AI, happening June 3–4 in Boston, MA, brings together key stakeholders in omics fields to address important issues encountered in genomics, single-cell biology, spatial biology, multiomics, proteomics, biodata, cancer research, drug discovery, artificial intelligence, machine learning, and more. Be sure to attend our talk and visit us at Booth 31, where we will share our novel solutions that drive biomarker discovery.
Featured talk
A unified toolbox for single-cell spatial genomics
June 4, 12:00 pm EDT

In this talk, Dr. Fei Chen discusses a benchmarking study that includes a new class of spatial methods, the Takara Bio Trekker Single-Cell Spatial Transcriptomics Kits. Trekker technology is designed to acquire spatial and single-cell data in a single experiment, enabling high-sensitivity, high-resolution spatial transcriptomics without capital equipment requirements.
Dr. Fei Chen is currently an associate professor at the Harvard Department of Stem Cell and Regenerative Biology and a core faculty member at the Broad Institute. He obtained his PhD in biological engineering from the Massachusetts Institute of Technology and was a Schmidt Fellow at the Broad Institute.
His laboratory develops innovative tools that bridge single-cell genomics with spatial and temporal resolution, enabling researchers to uncover where specific cell types reside within intact tissues and when key transcriptional programs are activated. To achieve this, the Chen lab integrates approaches from microscopy, genomics, and synthetic biology. This work has led to widely adopted technologies in biology, including expansion microscopy, Slide-seq, Slide-tags, and in situ genome sequencing. The lab applies these technologies to investigate fundamental principles of tissue organization during development and to understand how these principles break down in injury and disease.
Dr. Chen has received the National Institutes of Health Director’s Early Independence Award, the Allen Institute Distinguished Investigator Award, and the New York Stem Cell Foundation Robertson Investigator Award.
Featured technologies
Total RNA-seq with the widest input flexibility
A simple, cost-effective, and robust ‘catch-all’ solution for directional, ribodepleted whole transcriptome libraries from a wide range of samples and input amounts (250 pg–1 µg)
Single-cell spatial mapping from FFPE tissues
Transform standard single-cell genomics data by incorporating a simple spatial transcriptomics kit upstream of your sequencing workflow.
Long-read RNA-seq from low-input samples
Facilitating the discovery of complex isoforms and novel structural variants from 10 pg–100 ng of total RNA
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