Visualize multigene-family localization across chromosomes
Upload gene coordinates and a genome (or chromosome lengths). GFViewer draws every family in its own colour along round-capped ideograms, computes localization statistics, and lets you refine the figure in the browser before exporting to PDF, SVG, PNG or JPG.
Example datasets
Run one straight through the pipeline, or download the raw input files to try on your own machine. All of these ship with GFViewer.
| Dataset | Organism | Families | Format | Actions |
|---|---|---|---|---|
| 18 gene families | Babesia sp. MO1 | 18 | Excel table (.xlsx) + colour map | |
| 6 gene families | Babesia sp. MO1 | 6 | CSV table + colour map | |
| 10 gene families (with centromeres) | Babesia duncani | 10 | TSV table + genome FASTA | |
| BED / GFF3 / GTF | Babesia sp. MO1 (6 families) | 6 | BED, per-family BED, BED + mapping, GFF3, GTF | |
| 10 synthetic gene families | Arabidopsis thaliana (TAIR10, 5 chromosomes) | 10 | synthetic TSV table + genome + colour map | |
| 20 synthetic gene families | C. elegans (WBcel235, 6 chromosomes) | 20 | synthetic TSV table + genome + colour map |
Prefer the command line?
GFViewer is a pip-installable tool. Everything this portal
does — rendering, styling, the full analytics suite — is also
available as the gfviewer command for scripting and batch
runs.
python -m pip install gfviewer
gfviewer -d genes.csv -g genome.fasta -o out/ --analytics -cen