Webinar Tutorial: How to Perform scRNA-Seq Cell-Type Predictions

Fast and Accurate Multi-Reference Cell-Type Annotations with CellKb and OmicsBox Cell-type prediction is one of the most challenging steps in single-cell RNA sequencing (scRNA-Seq) analysis, often requiring already annotated references. Finding suitable references is time-consuming, and relying on a single source may compromise accuracy. 3:30 - Introduction to OmicsBox 12:04 Introduction to scRNA-Seq Cell Type Prediction: Current State and Challenges 21:54 - Cell Type Prediction with CellKb 36:56 - How to perform cell type predictions with CellKb in OmicsBox In this webinar, we present a solution to these challenges: OmicsBox, BioBam’s powerful and user-friendly bioinformatics platform, now enhanced with CellKb, a cutting-edge knowledge base and algorithm for cell-type prediction. CellKb streamlines scRNA-Seq annotation by simultaneously leveraging multiple references, enabling cross-species annotation, and being continuously updated—all without requiring researchers to curate their own references. Speakers: Marta Benegas, Bioinformatician, Single-Cell Expert. Ashwini Patil, PhD. Combinatics CEO Dr. Stefan Götz Try OmicsBox for Free now! https://www.biobam.com/trial/