Sho Goh Lab (@shogohlab) 's Twitter Profile
Sho Goh Lab

@shogohlab

We find out where RNA modifications are, what they do, how they do it and why that matters. Always looking to hire new postdocs

ID: 1133861578204491776

linkhttp://gohlab.org calendar_today29-05-2019 22:24:01

822 Tweet

451 Followers

459 Following

nature (@nature) 's Twitter Profile Photo

A scientist who successfully treated her own breast cancer by injecting the tumour with lab-grown viruses has sparked discussion about the ethics of self-experimentation go.nature.com/3NXqzEq

Sophie Petropoulos (@scwin2) 's Twitter Profile Photo

Really excited to share the latest paper from our lab! nature.com/articles/s4159… Check out our tool and reference here: petropoulos-lanner-labs.clintec.ki.se A big thank you and great work from the entire team👏🏻🤩 (cont’d…)

Sho Goh Lab (@shogohlab) 's Twitter Profile Photo

"It is certainly possible that... the genome sequence alone does not define the cell types... genome itself is a molecule with epigenetic chemical modifications that aren’t accounted for in the genome sequence" RNA modifications can be potential cell type definers too

Sho Goh Lab (@shogohlab) 's Twitter Profile Photo

Congrats to our colleague Qin Peng on the development of a m6A live-cell imaging method. Glad to have helped out on this work. science.org/doi/10.1126/sc…

Xin Eric Wang @ ICLR 2025 (@xwang_lk) 's Twitter Profile Photo

It is just so sad that the #NeurIPS2024 main conference ended with such a racist remark by a faculty when talking about ethics. How ironic! I also want to commend the Chinese student who spoke up right on spot. She was respectful, decent, and courageous. Her response was

Sho Goh Lab (@shogohlab) 's Twitter Profile Photo

Interesting new study on nucleosome wrapping states from our SZBL colleague Haizhen Long nature.com/articles/s4146…

Niko McCarty đź§« (@nikomccarty) 's Twitter Profile Photo

Gregor Mendel is so much cooler, and his life so much richer, than your high school biology class might suggest. Here are 12 things I recently learned about Mendel. 1. After his death, thousands of his pages (filled with data) were destroyed. Nobody knows why this happened.

Gregor Mendel is so much cooler, and his life so much richer, than your high school biology class might suggest.

Here are 12 things I recently learned about Mendel.

1. After his death, thousands of his pages (filled with data) were destroyed. Nobody knows why this happened.
Jonathan Göke (@jonathangoeke) 's Twitter Profile Photo

Very happy to release the single cell and spatial long read RNA seq module for our transcript discovery and quantification tool Bambu (Bambu-clump)! The key challenges were dimensionality and accurate estimation of transcript expression with minimal data biorxiv.org/content/10.110…

Sho Goh Lab (@shogohlab) 's Twitter Profile Photo

PCF11 strikes again! Yu Yang lab shows how PCF11 mediates transcriptional termination by promoting condensation. sciencedirect.com/science/articl…

Sho Goh Lab (@shogohlab) 's Twitter Profile Photo

Thanks Shifeng Xue for inviting me to share our recent m6Am reader/monkey god story at NUS. I had a lot of fun learning about the importance of RNA in editing technologies and in butterfly evolution

Matt Disney (@disney_lab) 's Twitter Profile Photo

New work from Xueyi and team: Chem-CLIP-Map, a method to map small molecule binding sites on RNA using nanopore sequencing and fragment analyzer. academic.oup.com/nar/article/53… #RNA #ChemCLIP #DrugDiscovery

Ramanuj Dasgupta (@dasguptaram) 's Twitter Profile Photo

cell.com/cell-reports-m… Excited to share this latest study from the lab. Kudos to Shumei and the team on establishing a precision oncology paradigm (CAN-Scan) with real-world impact and significance for colorectal cancer patients in the clinic.

Hasindu Gamaarachchi (@hasindu2008) 's Twitter Profile Photo

For many of those who were asking on BLOW5 vs POD5 for nanopore signal data, here is a finally detailed benchmark we did: biorxiv.org/content/10.110… Summary: performance of BLOW5 is >= POD5 (from ~= to 100X, see below), with benefit of having ~3 dependencies instead of >50.

For many of those who were asking on BLOW5 vs POD5 for nanopore signal data, here is a finally detailed benchmark we did:
biorxiv.org/content/10.110…
Summary: performance of BLOW5 is >= POD5 (from ~= to 100X, see below), with benefit of having ~3 dependencies instead of >50.