https://xitter.cf/t.co/9Kd9TQNWxZ
South San Francisco, CA
Joined February 2008
- Tweets409
- Following465
- Followers532
- Likes594
Pinned Tweet
a year ago we (+@realAaronLun) announced Kana (kanaverse.org/kana/), 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: github.com/BiocPy/txdb
The GenomicRanges (github.com/BiocPy/GenomicRan…) 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: github.com/BiocPy/GenomicRan…
#BiocPy
If this generation is Gen Alpha, I say we call the next one Gen AI—because they'll probably ask ChatGPT than reddit for advice.
Jayaram Kancherla retweeted
Join our ML for Genomics group working directly with me on spatial biology.
careers.gene.com/us/en/job/2…
Jayaram Kancherla retweeted
Powerful use of the RNA-targeting Csm complex!
We've now extended the crisprVerse to make CRISPR-Csm gRNA design easy: github.com/crisprVerse/Tutor…
This Post is from an account that no longer exists. Learn more
Jayaram Kancherla retweeted
Really nice writeup on the hugely impressive MetaGraph work by @gxr, @akkah21, @m_karasikov, @HarunMustafa416 (& others whose handles I don't know) in @ScienceMagazine: science.org/content/article/…. Some comments by @ZaminIqbal, Lesley Hoyles and myself! Congrats @m_karasikov & team!
Jayaram Kancherla retweeted
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
Jayaram Kancherla retweeted
How to pick a problem. Today in @CellCellPress. 1/53
cell.com/cell/fulltext/S0092…
Jayaram Kancherla retweeted
Exciting postdoctoral position to understand the mechanisms of KRASi resistance at Genentech
roche.wd3.myworkdayjobs.com/…
Join us this summer, alongside @dagarfield and @gokcen, building interactive interfaces and visualizations for interpreting results of ML models on regulatory DNA. Apply here:
roche.wd3.myworkdayjobs.com/…
Also checkout @dagarfield's intern position here - xitter.cf/dagarfield/status/1730…
It begins! The first of a few summer intern positions working with @gokcen, @jayaram, myself, and other clever folk on using ML models of regulatory DNA to improve how we research drug targets.
roche.wd3.myworkdayjobs.com/…
Jayaram Kancherla retweeted
We introduce Epiregulon, a method to infer transcription factor activity at the single cell level, with the goal of identifying master regulators of disease and drug response.
Preprint: biorxiv.org/content/10.1101/…
GitHub: github.com/xiaosaiyao/epireg…
