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Them: "A PhD provides you with a set of general-purpose and highly transferable skills" Me: "\vspace{-0.254em}"

Today in nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: dpmd.ai/dm-alpha-tensor & dpmd.ai/nature-alpha-t… 1/

(1/3) Until now, AI translation has focused mainly on written languages. Universal Speech Translator (UST) is the 1st AI-powered speech-to-speech translation system for a primarily oral language, translating Hokkien, one of many primarily spoken languages. bit.ly/3CJP3ew

A lot of Machine Learning (ML) I learned during my Ph.D. was from youtube. I didn't have a guide to do this effectively and thus here it is: A complete guide to studying ML from youtube: 13 best and most recent ML courses available on YouTube. 👩‍🏫🧵⤵️

m6Anet, a neural network-based method that detects m6A modifications from direct RNA sequencing data. @jonathangoeke, @alek_thiery, Christopher Hendra, Computational Transcriptomics, A*STAR Genome Institute of Singapore (A*STAR GIS) OA paper: nature.com/articles/s4159…

Identification of m6A has been possible for some time using Oxford Nanopore direct RNA-Seq. Today we published m6Anet, achieving high accuracy single base, single molecule resolution nature.com/articles/s4159… What is m6Anet, and why this makes a big difference🧵#biodata22 Nature Methods

Our m6Anet paper is featured in this issue of Nature Methods nature.com/articles/s4159…. This work has been a long time coming for us and we are beyond excited to announce its publication #biodata22 🧵

We are happy to announce the preprint for Bambu - “Context-Aware Transcript Quantification from Long Read RNA-Seq data with Bambu” biorxiv.org/content/10.110…. Available now from BioConductor bioconductor.org/packages/bambu/ and Github github.com/GoekeLab/bambu 1/7

After 2 years of open source code development, >200 pull request and >2000 commits from 9 contributors, we are very happy to share the preprint describing Bambu, our method for analysing long read RNA-Seq biorxiv.org/content/10.110… My personal highlights:

We have a new release for m6Anet repository (v-1.1.1) where we fixed a typo with the read-level modification command and PyTorch versioning issue. Additionally, we removed warning messages from pandas to reduce clutter in your stdout! github.com/GoekeLab/m6ane…

1/9 If you are looking to map genome coordinates from one assembly version to another, we have the right tool for you on #Ensembl! Today's #tweetorial will walk you through how to do this 🥳 #bioinf #EnsemblTraining #genomics

this is what happens when you don’t recycle your pizza boxes

Scientists develop AI-based method to predict #RNA modifications @AstarHQ Nature Methods doi.org/grrf3f phys.org/news/2023-02-s…

Researchers from the A*STAR and NUS have developed #m6Anet, a software that trains #deepneuralnetworks with abundant direct #Nanopore #RNAsequencing data and Multiple-Instance Learning (MIL) approach, to accurately detect the presence of #m6A. rna-seqblog.com/scientists-dev…

You can report any error or suggestion related to pbs.twimg.com/card_img/16271… as an issue on github.com/GoekeLab/m6ane……If you have questions related to the manuscript, data, or any general comment or suggestion please use github.com/GoekeLab/m6ane… - Christopher Hendra

Segment Anything in High Quality Proposes HQ-SAM, equipping SAM with the ability to accurately segment any object, while maintaining SAM’s original promptable design, efficiency, and zero-shot generalizability repo: github.com/SysCV/SAM-HQ abs: arxiv.org/abs/2306.01567

Today 6 years ago, "Attention is All You Need" went on Arxiv! Happy birthday Transformer! 🎂 Fun facts: - Transformer did not invent attention, but pushed it to the extreme. The first attention paper was published 3 years prior (2014) and had an unassuming title: "Neural Machine

So excited to announce that m6anet now supports the new RNA004 chemistry from Oxford Nanopore!! github.com/GoekeLab/m6anet 1/4

With this release m6A detection is now possible with the RNA004 (development) kit from Oxford Nanopore using m6Anet. Performance looks very good + much higher throughput