Computational Transcriptomics
@goekelab
Lab of Computational Transcriptomics @astar_gis. Software releases, publications, journal clubs, anything long read RNA-Seq by team members. PI @jonathangoeke
Now online! An atlas of transcription initiation reveals regulatory principles of gene and transposable element expression in early mammalian development dlvr.it/THTChb
Congratulations @JonathanGoeke @J_i_n_g_m_e_i from @astar_gis, recipients of the 2024 A*STAR Fellows for their outstanding contributions, leadership and impact on the local and international scientific community! 🏅🧪🧬💻
New year, new issue of A*STAR Research 🎊 Learn about A*STAR’s strategies on acquiring and developing new talent, and read about the recipients of the A*STAR Distinguished Fellowships and Fellowships of 2024 in a special feature. 👉🏻 Grab your copy today! bit.ly/ASTARprint
Meet the latest recipient of the Young Scientist Award: @JonathanGoeke, Senior Principal Scientist at @astar_gis! 🏅 Göke was recognised for his pioneering work in developing computational methods for long read RNA sequencing data. 🔍bit.ly/3zFns0x
🚀 Exciting News from Singapore! 🚀 Scientists at A*STAR's Genome Institute of Singapore (@astar_gis) have unveiled one of the world's largest long-read RNA sequencing datasets! 🌍🔬 This groundbreaking resource, known as SG-NEx, is set to revolutionize disease research by…
This Analysis presents benchmarking results from the Singapore Nanopore Expression consortium project, including a valuable resource of datasets generated from various long-read and short-read RNA sequencing technologies. nature.com/articles/s4159…
Great to see this software tool that enables long-read single cell and spatial transcriptomics!
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…
Congratulations to our Bambu team: @JonathanGoeke, Andre Sim, Min Hao Ling, Ying Chen, Sui Yue, and @JayShin on the release of their new single-cell and spatial long-read RNA-seq module for Bambu!
This work was down by @Andresim8, @Lingminhao31Min @chenying927 together with @JayShin's team at GIS @astar_gis. Let us know your comments and feedback, we aim to improve Bambu with every release! github.com/GoekeLab/bambu
The recommended way to run bambu-clump is through the nextflow pipeline (bambu-pipe), which optimises barcode detection, alignment, transcript discocery and quantification, and it also includes an option to identify fusion transcripts in single cells github.com/GoekeLab/bambu…
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…
Isoform-level discovery, quantification and fusion analysis from single-cell and spatial long-read RNA-seq data with Bambu-Clump biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
Congratulations to @JonathanGoeke on achieving the Young Scientist Award, which recognizes young researchers who are actively engaged in R&D in Singapore and have shown great potential to be world-class researchers in their field. Read more about his work: psta.gov.sg/young-scientis…
Many thank to my team members and collaborators, without them this would not have been possible!
Congratulations to @JonathanGoeke on achieving the Young Scientist Award, which recognizes young researchers who are actively engaged in R&D in Singapore and have shown great potential to be world-class researchers in their field. Read more about his work: psta.gov.sg/young-scientis…
The brainchild of researchers at @astar_gis, Bambu can detect both known and previously unidentified gene patterns with high precision 🔍 Find out how Bambu helps address a critical limitation in traditional methods for measuring gene activity ⬇️ bit.ly/4emyKq3
This week, we celebrate with our GIS colleagues who were conferred various awards for their distinguished service and significant contributions to A*STAR and Singapore. Our heartiest congratulations to the following awardees!
@JonathanGoeke, Andre Sim and Ying Chen from @astar_gis introduced a new context-aware transcript quantification approach called Bambu.This machine learning tool detects both known and previously unidentified gene patterns with high precision. Read more at research.a-star.edu.sg/articles/highl…