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Upcoming Webinar
Genome, epigenome, transcriptome, and metagenome sequencing are all constantly evolving and finding new applications for research and diagnostic use. The recent innovations are impacting everything from sample preparation and library design to sequencing and data analysis. Many of these innovations are dependent on the type of sequencing and on the type of sample and the biological question asked.
In this webinar you will learn about:
- Sample prep, library prep, and optimization for single-cell and single-nuclei protocols
- Working with challenging sample types—from primary cells, organoids to tissue samples
- Strategies for planning a complex experiment involving multiple timepoints and cell conditions
- Optimizing sample multiplexing for single-cell RNA sequencing
- Single-cell experimental design for multimodal sequencing experiments
- Coupling CRISPR screens with single-cell sequencing
- Integration of single-cell datasets and use of informatics tools to reduce noise and improve downstream analyses
- Case studies describing how single-cell sequencing can be used for diverse applications
Register now:
Genome, epigenome, transcriptome, and metagenome sequencing are all constantly evolving and finding new applications for research and diagnostic use. The recent innovations are impacting everything from sample preparation and library design to sequencing and data analysis. Many of these innovations are dependent on the type of sequencing and on the type of sample and the biological question asked.
In this webinar you will learn about:
- Sample prep, library prep, and optimization for single-cell and single-nuclei protocols
- Working with challenging sample types—from primary cells, organoids to tissue samples
- Strategies for planning a complex experiment involving multiple timepoints and cell conditions
- Optimizing sample multiplexing for single-cell RNA sequencing
- Single-cell experimental design for multimodal sequencing experiments
- Coupling CRISPR screens with single-cell sequencing
- Integration of single-cell datasets and use of informatics tools to reduce noise and improve downstream analyses
- Case studies describing how single-cell sequencing can be used for diverse applications
Register now:
