Top Tweets for #BOG2026
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≪𝐇𝐚𝐩𝐩𝐲 𝐁𝐢𝐫𝐭𝐡𝐝𝐚𝐲!!!≫
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@BurgundyTsukiko
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#BOG2026
Alexis @alexisjbattle did an awesome introduction for Jonathan’s @jkpritch for his #BoG2026 keynote!
That was reaaaally good! 👏🏽 👏🏽
@cshlmeetings
En #BoG2026 hubo varixs mexicanxs/científicxs trabajando con datos de 🇲🇽
Me da gusto 😊 aprender de sus contribuciones a la ciencia. Esta vez hubo proyectos del Mexican Biobank https://t.co/5SN7sCtcxt
@cshlmeetings
@valenomics @anavictorialeap @xavierrocarada @irepan_salvador
Megan D. Schertzer from @davidaknowles.’s lab invites us to use « perplexity » from Ecology to measure isoform diversity (or other molecular units).
Very thought provoking! 🤔
More at https://t.co/0LFzrhVljG
#BoG2026 @cshlmeetings
Nilah Ioannidis kickstarted #BoG2026’s Friday by guiding us through their explorations of how DNA 🧬 sequence prediction models actually perform with unseen sequences
Goal: use these models in the clinic for personal genomics to predict individual molecular changes
@cshlmeetings
Check the paper for now at https://t.co/e3toYvDEE3
(One of 12 papers!!!)
#BoG2026
Boxiang @boxiangliu showcased #ISAAC for computing splicing QTLs #sQTLs using single cell data
They applied it to DLPFC 🧠 data from 722 donors
https://t.co/blZ5F3qbcY
#BoG2026 @cshlmeetings
Mateusz @mgarbulowski et al used custom #VisiumHD to study spatial host-microbiome (SHM-seq) interactions
They built #homic on top of #Kraken2 for accurate taxonomic classification of SHM-seq data
QR code was deactivated, but go to https://t.co/1lz8099tQP
#BoG2026 @cshlmeetings
Brian Clearly’s work on « Fundamental errors in #RNAvelocity arising from the omission of cell growth » feels like a must read!!
Brian shouted out the co-authors in the second slide 👏🏽
#BoG2026 @cshlmeetings
https://t.co/1yFnxfMjta
Did you miss #BoG2026 or want to share your work or want to keep learning about great computational biology? Mike @mike_schatz invites us to #BDS26 later this year in November
Check https://t.co/ojI4bDNnuj for all the details!
@cshlmeetings
Mike @mike_schatz shared their latest swiss army knife for analyzing pangenome data
QR code is broken but just go to https://t.co/1KSTtzqE10 to learn more ^^
It’s already been used by posters at #BoG2026!! @cshlmeetings
Alan @Al_Murphy_ gave a great talk on how to use “continual learning” as a principled training framework for genomic models: to go beyond #Enformer, #AlphaGenome, etc that were trained only on the reference genome 🧬
There’s lot to read on the QR codes
#BoG2026 @cshlmeetings
Mike @mike_schatz paid tribute to James P. Taylor @jxtx who was one of the main champions of #OpenScience
To carry on Mike et al founded @jxtxFoundation & introduced the winners of the scholarship to attend #BoG2026 this year (sponsored by @PacBio this year)
👏🏽
@cshlmeetings
Come check out my talk at the #BOG2026 for single-cell splicing on Thursday (May 7) AM session.
Also check out Wenjing Wang’s poster 241 on Friday 2-4:30 pm;
And Fei Liu’s poster 133 on Thursday 7:30-10:30pm.
Time to learn about @NIH (U.S. National Institutes of Health) and #NHGRI National Human Genome Research Institute 🧬) at #BoG2026 @cshlmeetings
Aoxing @aoxing2 gave a great talk at #BoG2026 (even more considering it was last minute promoted to a talk!) on studying sex chromosome dosage thanks to available biobank data from rare but tolerated sex chromosome trisomies
Builds upon https://t.co/xL9UABCPfC
@cshlmeetings
Kyle K Farh is going to tell us about #PrimateAI-3D https://t.co/FO1HmaAm99 which they’ve adapted to estimate S_het
First talk with a @GitHub link prominently displayed in several slides 🤩
I also liked the title slide with all co-authors listed ✅
#BoG2026 @cshlmeetings
Arbel @arbelharpak is teaching us about sign bias (the mean direction of allelic effects) across biobanks.
This bias is explained by the trait’s skeweness (3rd central moment in statistics)
https://t.co/A3GuX90qW6
#BoG2026 @cshlmeetings
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