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Computational Transcriptomics Profile
Computational Transcriptomics

@goekelab

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Lab of Computational Transcriptomics @astar_gis. Software releases, publications, journal clubs, anything long read RNA-Seq by team members. PI @jonathangoeke

Singapore
Joined March 2021
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@JonathanGoeke
Jonathan Göke
3 months
The Asia RNA Club Symposium will be happening in Seoul Nov 3-5, bringing together RNA scientists from the Asia-Pacific region. Excellent speakers and a great opportunity to connect! Abstract submission by Sept 5 https://t.co/bovhcjE3YL
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@astar_gis
A*STAR Genome Institute of Singapore (A*STAR GIS)
7 months
🚀 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
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@naturemethods
Nature Methods
8 months
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. https://t.co/zfoDNFfUAJ
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@goekelab
Computational Transcriptomics
8 months
For the new release of SG-NEx v0.6.0, it now features updated fastq/bam files processed with Guppy 6.4.2 & Minimap2-2.22. Check out here for more details on the resource: https://t.co/oCBkcpzkDC.
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@goekelab
Computational Transcriptomics
8 months
The project is a close collaboration with experts from multiple institutions, including @Hasindu2008, @aka_hpatel, @AliciaOshlack, @mikelove, and many others. We are grateful for their support and contributions to this study.
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@goekelab
Computational Transcriptomics
8 months
The SG-NEx data is a comprehensive resource for enabling the development and benchmarking of computational methods for profiling complex transcriptional events at isoform-level resolution.
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@goekelab
Computational Transcriptomics
8 months
The manuscript provides a systematic benchmark of long-read and short-read RNA-seq protocols, demonstrates the value of long-read RNA-seq data in understanding alternative isoforms, novel transcripts, fusion transcripts and m6A RNA modifications.
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@goekelab
Computational Transcriptomics
8 months
We are happy to share that our SG-NEx manuscript (led by @chenying927, @nadia_davidson, @yukkeiwan and @JonathanGoeke), is now out with open access: https://t.co/om90nZHvlb, together with an update release of SG-NEx data v0.6.0!
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@shyam_lab
Shyam Prabhakar Lab
9 months
Great to see this software tool that enables long-read single cell and spatial transcriptomics!
@JonathanGoeke
Jonathan Göke
9 months
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 https://t.co/m9agMLFGCz
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@astar_gis
A*STAR Genome Institute of Singapore (A*STAR GIS)
9 months
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!
@JonathanGoeke
Jonathan Göke
9 months
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!
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@JonathanGoeke
Jonathan Göke
9 months
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
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github.com
Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu - GoekeLab/bambu-singlecell-spatial
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@JonathanGoeke
Jonathan Göke
9 months
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 https://t.co/m9agMLFGCz
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biorxiv.org
Single cell and spatial transcriptomics have dramatically changed how we can profile RNA from heterogenous biological samples. Combining single cell and spatial profiling with long read RNA-Seq...
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@biorxiv_bioinfo
bioRxiv Bioinfo
11 months
Isoform-level discovery, quantification and fusion analysis from single-cell and spatial long-read RNA-seq data with Bambu-Clump https://t.co/TLAY3j7ehN #biorxiv_bioinfo
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@CellCellPress
Cell
10 months
Now online! An atlas of transcription initiation reveals regulatory principles of gene and transposable element expression in early mammalian development
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cell.com
Mapping transcription start sites across five mammalian species before, during, and after embryonic genome activation unveils widespread transposable element-driven transcription and co-option of...
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@astar_gis
A*STAR Genome Institute of Singapore (A*STAR GIS)
10 months
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! 🏅🧪🧬💻
@astar_research
A*STAR Research
11 months
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! https://t.co/gLu9LfopzL
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@astar_research
A*STAR Research
1 year
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. 🔍 https://t.co/oj2H4W6Ae3
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@astar_gis
A*STAR Genome Institute of Singapore (A*STAR GIS)
1 year
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: https://t.co/O39taAD3WM
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@JonathanGoeke
Jonathan Göke
1 year
Many thank to my team members and collaborators, without them this would not have been possible!
@astar_gis
A*STAR Genome Institute of Singapore (A*STAR GIS)
1 year
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: https://t.co/O39taAD3WM
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@astar_research
A*STAR Research
1 year
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 ⬇️ https://t.co/PtnGmomBWc
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research.a-star.edu.sg
Bambu, a new computational tool for analysing genetic data, effectively identifies and quantifies complex gene patterns.
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@astar_gis
A*STAR Genome Institute of Singapore (A*STAR GIS)
1 year
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!
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