Exploring Genomics at Single-Cell Resolution
Discover how single-cell sequencing and genomic research reveal cellular identity, gene expression, biological variation, and disease mechanisms
About CGseq
CGseq is a scientific research and education platform exploring genetics, genomics, and biology at the cellular level.
We explore how advances in sequencing and molecular research help scientists understand gene expression, cellular identity, biological variation, and disease mechanisms.
Our content brings together accessible explanations of single-cell RNA sequencing, genomics, transcriptomics, genetic research, and emerging sequencing technologies, connecting fundamental concepts with current scientific research.
CGseq is designed to make complex genomic research easier to explore, understand, and connect — from individual genes and cells to broader biological processes.
Our Goals
Understand Genomic Biology
Explore how genes, genomes, and gene expression shape cellular identity and biological processes.
Explore Biology at Single-Cell Resolution
Explore how single-cell technologies reveal differences in gene expression, cellular identity, and cellular states, helping researchers understand biological processes with greater preci
Connect Science With Research
Make current genomic research easier to understand by connecting scientific concepts with peer-reviewed and open-access studies.
What We Explore
CGseq explores how modern genomic technologies help researchers understand biology from genes to individual cells.Explore peer-reviewed and open-access studies that demonstrate how these technologies are being applied across genetics, genomics, cell biology, and biomedical research.
Genetics & Genomics
Discover how genes, genetic variation, and genomic information contribute to biological processes and disease research.
Single-Cell RNA Sequencing
Learn how single-cell RNA sequencing reveals differences in gene expression between individual cells, helping researchers identify cell types, cellular states, and heterogeneous cell populations.
Cellular Biology
Explore how cells differ, communicate, change states, and respond to their biological environment.
Genetic Disease Research
Understand how genomic and single-cell approaches can help researchers investigate the cellular and molecular mechanisms associated with genetic diseases.
Genomic Data & Analysis
Follow the journey from sequencing data to biological insights, including quality control, gene-expression analysis, clustering, cell-type identification, and data visualization.
Understanding Genomics at Single-Cell Resolution
Traditional genomic studies often analyze biological samples as a whole, which can make differences between individual cells difficult to detect. Single-cell genomics and single-cell RNA sequencing provide a more detailed view by allowing researchers to study genetic information and gene expression at the level of individual cells.
By examining thousands of cells separately, researchers can identify distinct cell types, cellular states, gene-expression patterns, and heterogeneous cell populations within the same tissue. These approaches are increasingly used to investigate development, immunity, cancer, neurological disorders, genetic diseases, and other complex biological processes.
CGseq explores how single-cell sequencing, transcriptomics, genomics, and computational analysis are helping researchers move from population-level measurements toward a more precise understanding of cellular biology.
From Cells to Data
Step 1 — Isolate cells
Individual cells or nuclei are prepared for molecular analysis.
Step 2 — Capture RNA
Messenger RNA is captured and converted into complementary DNA for sequencing.
Step 3 — Generate data
Sequencing produces reads that can be processed into a gene-expression matrix.
Step 4 — Analyze cell populations
Computational methods help researchers identify cell clusters, investigate gene expression, and interpret cellular diversity.
Single-Cell Resources
Human Cell Atlas Mapping and understanding human cells at single-cell resolution
Data Analysis
Galaxy Platform for genomic and biomedical data analysis
Bioconduct R-based tools and packages for genomic and biological data analysis
Learn more
Discover how single-cell RNA sequencing helps researchers connect genetic variants with gene expression, cellular states, and disease mechanisms.