Computational Transcriptomics
@goekelab
Lab of Computational Transcriptomics @astar_gis. Software releases, publications, journal clubs, anything long read RNA-Seq by team members. PI @jonathangoeke
ID:1374918967672762368
https://github.com/GoekeLab 25-03-2021 03:00:52
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Very excited to announce 'Uncalled4 improves nanopore DNA and RNA modification detection via fast and accurate signal alignment' by Sam Kovaka et al. biorxiv.org/content/10.110…
Mariela Cortés López Ming "Tommy" Tang you can also check out Jonathan Göke lab’s curated list github.com/GoekeLab/aweso…
Great news, very well deserved. There is still a lot to discover about RNA modifications, very happy to contribute to this field using our methods for Oxford Nanopore direct RNA sequencing
As usual the transcriptomics session is packed at #nanoporeconf Singapore. We probably need a larger room next year. Go RNA go !
Very happy to present our work on m6anet and single molecule m6a detection from direct RNA seq data at #nanoporeconf in Singapore! Here is the link to the paper:
doi.org/10.1038/s41592…
And repository: github.com/GoekeLab/m6anet
RNA modifications can form an additional layer of complexity in the transcriptome.
At NCM 2023 Singapore, Jonathan Göke will discuss direct RNA nanopore sequencing to capture, identify & quantify these RNA modifications. Find out more: bit.ly/3QyNs3x #naoporeconf
You can still register (free) for the virtual Epitranscriptomcis symposium next week: epitranscriptomics2023.org I will talk about our work on Oxford Nanopore direct RNA-Seq data nature.com/articles/s4159… (including an update on RNA004)