Trackplot
Trackplot generates publication-quality visualizations of genomic and transcriptomic features to support interpretation of RNA-seq (including scRNA-seq), long-read sequencing, gene annotations, isoform structures, chromatin accessibility, and chromatin architectural data.
Key Features:
- Versatile visualization: Produces sashimi-like plots for interpreting complex genomic and transcriptomic data.
- Gene annotation and functional domain mapping: Annotates genes and maps functional domains onto plotted gene and isoform structures.
- Isoform expression analysis: Visualizes isoform-level expression and isoform structures identified from scRNA-seq and long-read sequencing.
- Comprehensive data integration: Integrates chromatin accessibility and architectural data with transcriptomic and genomic tracks for combined visualization.
- Flexible output formats: Exports visualizations in multiple file formats suitable for publication.
Scientific Applications:
- Transcriptomics: Visualizing isoform structures and isoform expression from scRNA-seq and long-read sequencing to support transcript-level analyses.
- Epigenetics: Integrating and visualizing chromatin accessibility data alongside transcriptional features.
- Chromatin organization: Displaying chromatin architectural data in the context of genomic and transcriptomic features.
- Structural variation and gene expression interpretation: Supporting visualization of gene structural variations and their relationship to expression patterns.
Methodology:
Generates sashimi-like plots, annotates genes with functional domain mapping, visualizes isoform expression and structures from scRNA-seq and long-read sequencing, integrates chromatin accessibility and architectural data, and exports results in multiple file formats.
Topics
Details
- License:
- BSD-3-Clause
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 3/6/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Zhang Y, Zhou R, Liu L, Chen L, Wang Y. Trackplot: A flexible toolkit for combinatorial analysis of genomic data. PLOS Computational Biology. 2023;19(9):e1011477. doi:10.1371/journal.pcbi.1011477. PMID:37669275. PMCID:PMC10503704.
Documentation
Downloads
- Container filehttps://hub.docker.com/r/ygidtu/trackplot