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A declarative library for Python designed to create interactive multi-scale visualizations of genomics and epigenomics data.

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For simple text-based datasets (e.g., tsv/csv), it would be nice to just embed the data in the final HTML to avoid needing a server. We could add an extra option...

Add a `port` keyword argument to allow the user to specify the port to be used by `GoslingDataServer`. The class already supports it and [has it in its `__call__` signature](https://github.com/gosling-lang/gos/blob/c88a433574b5f5f7bac5f06419b55fda5147672e/gosling/data/__init__.py#L72),...

Hi, this is my code to visualize a bed graph: ```py import gosling as gos data= gos.csv( url='/violacimatti/Desktop/gosling/finale10.bedgraph', headerNames=['chrom','start','end','value'], chromosomeField='chrom', genomicFields=['start','end'], separator='\t' ) gos.Track(data).mark_line().encode( x=gos.X("start:G", axis="top"), y=gos.Y("value:Q", axis="none"), ).view() ```...