> For the complete documentation index, see [llms.txt](https://edu.abi.am/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://edu.abi.am/ngs-data-analysis-and-functional-genomics/single-cell-sequencing-and-data-analysis.md). # Single-cell Sequencing and Data Analysis Single-cell sequencing is a revolutionary technology that allows researchers to explore the genetic and transcriptomic landscapes of individual cells. Unlike traditional bulk sequencing, which averages signals across millions of cells, single-cell sequencing provides a high-resolution view of cellular heterogeneity, uncovering rare cell types, states, and dynamic processes that would otherwise be obscured.\ \ There are many technologies used for sequencing single-cell RNA (scRNA-seq), with one of the more popular platforms being 10x Genomics. For a brief introduction on how it works, see below:\ \ [![](https://embed-ssl.wistia.com/deliveries/817c8c823157c5cd6791daa773576d13.jpg?image_play_button_size=2x\&image_crop_resized=960x540\&image_play_button=1\&image_play_button_color=54bbffe0)](https://www.10xgenomics.com/blog/single-cell-rna-seq-an-introductory-overview-and-tools-for-getting-started?wvideo=f75ht43w1q) [Single cell RNA-seq: An introductory overview and tools for getting started - 10x Genomics](https://www.10xgenomics.com/blog/single-cell-rna-seq-an-introductory-overview-and-tools-for-getting-started?wvideo=f75ht43w1q)\ \ **How does this image relate to our topic?**