At BioBam we were thrilled to attend and sponsor the First Congress of Sociedad Española de Bioinformática i Biología Computacional (SEBiBC) in Valencia, a gathering of experts and researchers in bioinformatics and computational biology. Thanks to our colleague Marta Benegas, we had the opportunity to showcase our work advancing single-cell RNA sequencing (scRNA-Seq) analysis this year.
Single-cell RNA sequencing (scRNA-Seq) has transformed our understanding of cellular diversity and tissue complexity, enabling insights at a level that traditional methods couldn’t achieve. Yet, despite its rapid adoption and the wealth of information it generates, scRNA-Seq analysis remains challenging. Handling large datasets and navigating complex analytical steps—from raw sequencing data to meaningful biological interpretations—can be a significant hurdle for many scientists.
Our poster introduces an end-to-end single-cell RNA-Seq analysis pipeline in OmicsBox, our user-friendly platform designed to make this powerful analysis accessible to every scientist. Its intuitive interface empowers users to conduct the entire analysis process, from data preprocessing and clustering to cell type prediction and functional enrichment.
With dynamic data visualizations and interactive tools, scientists can explore and interpret complex datasets more effectively, uncovering the intricacies of cellular behavior and biological processes. Whether filtering cells, visualizing clusters, or tracking gene expression patterns, this pipeline simplifies single-cell analysis and facilitates discoveries in cellular biology.
Download the poster in full resolution here.
