a year ago we (+@realAaronLun) announced Kana (https://t.co/rquL0IAITm), to perform #singlecell analysis in the browser powered by #webassembly. This week we released version 3 to support multi-modal data analysis, gene set enrichment and exploration of pre-analyzed results (1/n)
Seamlessly access R/Bioconductor annotations in Python!
The new "txdb" package lets you load standard TxDb SQLite databases and work with genomic features as native #BiocPy `GenomicRanges` objects.
Try it: `pip install txdb`
docs: https://t.co/X6D8e0LcYB
The GenomicRanges (https://t.co/zVl4ariAVZ) package for Python got a major speed boost (v0.7.0+) thanks to Aaron’s blazing-fast C++ nclist interval indexing!
#Bioinformatics#Genomics#Bioconductor
If you're building Python pipelines for genomics, check out GenomicRanges. For feature requests or feedback, reach out to us on GitHub!
Try it: `pip install genomicranges`
Contribute: https://t.co/zVl4ariAVZ
#BiocPy
Check out our work today at #ICLR2024. We insert a concept bottleneck layer into generative models, which allows us to interpret, control, and debug them.
This is a first step towards interpretable generative modeling!
@juliusadml@hcorrada @stephenrra @kchonyc