Computational Biologist at @Stanford.
Joined September 2015
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7 Photos and videos
14 Nov 2023
Excited to share our latest work on bioRxiv!
biorxiv.org/content/10.1101/…
A highly collaborative effort with @ksmualim @karbalayghareh, @mayayayas, @kanishkadey, @evelynjagoda,@WangXijhu, @LarsMSteinmetz, @anshulkundaje, @jengreitz and many others from @ENCODE_NIH!
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The predictions for 352 ENCODE biosamples can be found on encodeproject.org, and the
model is available at: github.com/karbalayghareh/EN…
All benchmarking pipelines are available on github:
- github.com/EngreitzLab/CRISP…
- github.com/EngreitzLab/eQTLE…
- github.com/EngreitzLab/ABC-M…
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Summary: We present a new approach to map genome-wide enhancer-gene regulatory interactions, show how to link variants to genes, and interpret the model to learn about enhancer regulation. Our framework provides a resource for building future, increasingly accurate models.
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This has been a wonderful community effort involving countless people from the @ENCODE_NIH consortium and beyond. I would like to thank everybody I had the pleasure to work with during this long and exciting journey!
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Andreas Gschwind retweeted
20 Jan 2022
Check out our latest work published today as cover story in @ScienceMagazine! High-speed image-enabled cell sorting (ICS) isolates cells with complex spatial phenotypes, led by @LarsMSteinmetz, @CuylenLab & @BDBiosciences
science.org/doi/10.1126/scie…
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Andreas Gschwind retweeted
9 Jun 2021
Delighted to share my lab’s @jdavieslab first big paper in @Nature!
We’ve developed a new 3C technique called Micro Capture-C that can generate base pair resolution 3C data nature.com/articles/s41586-0…
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