I'm proud to announce the latest release of 🧬 #Oxbow 🏹, with new features to make NGS data analysis more powerful, efficient, and "composable". Learn more at: oxbow.readthedocs.io

We revamped the #rustlang backend and implemented a new "DataSource" API in #Python, which allows for streaming conventional #genomic files – in-memory, on-disk, or in the cloud – into the modern data tools you use regularly, including #Pandas, #Polars, #DuckDB, and #Dask.

This update (v0.4.x) provides complete #ApacheArrow data models for 11 file formats and counting, including the GA4GH/htslib formats and UCSC’s BigWig/BigBed.

It also supports: * Column projection and pushdown (parsing only the fields you need) * Complex and nested field types (e.g. alignment tags, variant genotype call data, etc.) * Genomic range-based queries via an index * User-defined transports and file systems