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.

PMID: 37669275
Funding: - the National Key Research and Development Program of China, Stem Cell and Translational Research: 2022YFA1105200 - the National Natural Science Foundation of China: 82273117, 82303975 - Postdoctoral Research Foundation of China: 2022TQ0226 - Post-Doctor Research Project, West China Hospital, Sichuan University: 2023HXBH100

Documentation

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