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About BioTuring Our bioinformatics startup empowers the next generation of scientists and innovators to turn data into breakthroughs. By combining biology, AI, and advanced analytics, we build tools that help researchers, students, and global pharmaceutical teams uncover hidden insights, accelerate drug discovery, and develop smarter, more precise treatments. Our Read More

Abstract Gene Set Enrichment Analysis (GSEA) is a widely adopted method for pathway-level interpretation of transcriptomic data. In the canonical formulation of Subramanian et al. [3], statistical significance is estimated through thousands of phenotype permutations—a procedure that becomes computationally prohibitive for large gene sets and comprehensive pathway Read More

Spatial transcriptomics has expanded our ability to identify cell types within tissues. However, understanding tumor biology requires more than composition alone. This article builds on findings from Takano et al. (Nature Communications, 2024) to examine how spatial organization, including gradients and compartmentalization, shapes interpretation of tumor systems. Read More

About our B-GENS – BioTuring Trainee Program 2026 BioTuring is an innovative bioinformatics company that develops algorithms, and agentic AI software to serve scientists from hundreds of pharmaceutical companies and leading research institutions, enabling discoveries about human diseases. Our biennial program helps you advance in frontier HPC (high Read More

SAN DIEGO, Calif. — January 26, 2026 — BioTuring and 10x Genomics, Inc. (Nasdaq: TXG), a leader in single cell and spatial biology, today announced a strategic collaboration to streamline and accelerate the path from data generation to biological insight for single cell and spatial research workflows. Read More

Interpreting Perturb-seq data remains challenging because single-cell RNA sequencing often misses transcripts from lowly expressed genes, producing zeros that can reflect either true knockdown or simple dropout. This ambiguity blurs the distinction between effective perturbations and escaped cells, making it difficult to assess gRNA performance, especially in large screens Read More

1. The Alignment/Registration Problem in Spatial Imaging In spatial imaging, researchers often analyze more than one representation of the same tissue. An H&E image provides structural context, while an IF image highlights specific markers. Many workflows even use a series of adjacent sections, where each section serves a different Read More

Astrocyte segmentation is challenging because these cells do not have simple shapes, are densely packed, and often intertwine with each other. Mapping them in brain images is notoriously difficult – signals blur, noise dominates, and current cell segmentation algorithms often fail, especially in injured tissues. Scientists at BioTuring Read More

1. The Target Identification Problem in IBD The core challenge in Inflammatory Bowel Disease (IBD) research is tissue heterogeneity. Inflammation affects different regions of the intestine and different cell types in distinct ways, making it difficult to interpret gene expression changes. Without knowing which cell type expresses a Read More

The Open Day is a community initiative jointly organized by BioTuring and the Vietnam Institute for Advanced Study in Mathematics (VIASM). Our mission is to help Vietnamese high school students explore the fascinating world of Bioinformatics – where data meets DNA, and science meets technology. Through exciting Read More