Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool in molecular biology, enabling researchers to delve into the intricacies of cellular heterogeneity with unprecedented resolution. This cutting-edge technology allows for the study of gene expression profiles at the individual cell level, offering insights into cellular diversity, developmental trajectories, and disease mechanisms. As the field continues to evolve, mastering the essentials of scRNA-seq analysis is paramount for researchers seeking to unlock the full potential of their data.
In this insightful webinar, you will learn:
- Data Handling: Learn how to handle diverse data types such as FASTQ, h5, and 10x MEX efficiently, ensuring seamless integration into your analysis pipeline.
- Dataset Access: Discover methods for accessing and utilizing publicly available datasets on platforms like GEO and SRA, empowering you to leverage existing resources for your research.
- Quality Control and Alignment: Master the techniques for effective quality control (QC) and alignment of raw sequencing data, ensuring the accuracy and reliability of your results.
- Artifact Filtering: Explore strategies for filtering out technical artifacts from counts, enabling you to focus on biologically relevant signals in your scRNA-seq data.
- Cell Clustering: Unlock the potential of advanced techniques like Seurat with UMAP and t-SNE for clustering cells, revealing hidden patterns and relationships within your single-cell datasets.
Join us on a journey into the depths of single-cell RNA-seq analysis, where we explore the fundamental concepts and advanced methodologies that drive groundbreaking research in the field. In this webinar, you will gain invaluable insights into the intricate process of handling diverse data types, accessing publicly available datasets, and employing state-of-the-art techniques to analyze scRNA-seq data with precision and accuracy. Whether you're a seasoned researcher looking to refine your skills or a newcomer eager to dive into the world of single-cell genomics, this webinar promises to revolutionize your understanding of scRNA-seq and elevate your research to new heights. Don't miss out on this opportunity to embark on a transformative journey through the realm of single-cell RNA sequencing.
Watch the webinar now and revolutionize your approach to scRNA-seq analysis:
Moderator
Director of Business Development
Almaden Genomics
Nicole Doherty got her undergraduate degree from UNC Wilmington and started her career at a public relations firm focused on biotech companies. Since completing her Master’s degree in Nutrition and Exercise Science at Montana State University, she has been working with clients to help them identify data analysis solutions for NGS data.
Speaker
Bioinformatics Engineer
Almaden Genomics
Nora Kearns is a bioinformatician with a specific interest in engineering methods, both biological and computational, which accelerate the research and discovery process. She began her career as a bioinformatician in the cell therapy industry, building pipelines to process data from high-throughput design assays in immune cells. Since joining Almaden she has focused on developing automated workflows for analysis of Single Cell RNAseq data on g.nome. Nora completed her master's in Bioinformatics and Genomics at the University of Oregon where she worked in a molecular engineering lab focused on developing high-throughput assays for protein characterization.