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.
Want to learn more? Register for our free, one-hour webinar on Thursday, February 13th at 9:30 and 18:30 CET.
In this webinar, we present a solution to these challenges: OmicsBox, BioBam’s powerful and user-friendly bioinformatics platform, is 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 continuously updating—all without requiring researchers to curate their own references.
Agenda Highlights:
- Introduction to OmicsBox: Discover how OmicsBox makes bioinformatics accessible to researchers of all experience levels.
- Overview of Single-Cell RNA-Seq Analysis: Understand the workflow and the challenges associated with cell-type prediction, particularly reference selection.
- Meet CellKb: Discover how CellKb overcomes the limitations of traditional reference-based annotation with its advanced features.
- Live Demonstration: Watch OmicsBox in action, including its CellKb integration. Explore interactive clustering results, visualizations, and annotation tools that simplify single-cell workflows.
- Interactive Q&A and Closing Remarks: Engage directly with our experts to address your questions.
Speakers:
- Marta Benegas, Bioinformatician, Single-Cell Expert.
- Ashwini Patil, PhD. Combinatics CEO
- Dr. Stefan Götz, Blast2GO Author, BioBam CEO
Related Posts
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.
Want to learn more? Register for our free, one-hour webinar on Thursday, February 13th at 9:30 and 18:30 CET.
In this webinar, we present a solution to these challenges: OmicsBox, BioBam’s powerful and user-friendly bioinformatics platform, is 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 continuously updating—all without requiring researchers to curate their own references.
Agenda Highlights:
- Introduction to OmicsBox: Discover how OmicsBox makes bioinformatics accessible to researchers of all experience levels.
- Overview of Single-Cell RNA-Seq Analysis: Understand the workflow and the challenges associated with cell-type prediction, particularly reference selection.
- Meet CellKb: Discover how CellKb overcomes the limitations of traditional reference-based annotation with its advanced features.
- Live Demonstration: Watch OmicsBox in action, including its CellKb integration. Explore interactive clustering results, visualizations, and annotation tools that simplify single-cell workflows.
- Interactive Q&A and Closing Remarks: Engage directly with our experts to address your questions.
Speakers:
- Marta Benegas, Bioinformatician, Single-Cell Expert.
- Ashwini Patil, PhD. Combinatics CEO
- Dr. Stefan Götz, Blast2GO Author, BioBam CEO
Related Posts
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