How can different cell types arise from the same genome? What discriminates a normal cell from a cancer cell? Will genomics data help to understand, model, and predict human disease progression?
Welcome to the website of Jonathan Göke’s team at the Genome Institute of Singapore!
We’re a computational genomics group searching for answers to these questions. We develop algorithms and investigate genomics and transcriptomics data to better understand human diseases such as cancer. Our group specifically works on third generation long read sequencing technology. We are located at the Genome Institute of Singapore. Read more about us, our research and publications, or available scholarships (PhD, internships) and positions. You can find more information about methods from the team on our github page.
Recent lab news
25/10/2021: Congratulations PhD student Yuk Kei Wan on publishing this review about machine learning for Nanopore signal data published in Trends in Genetics! You can read the article here (open access link coming soon)
23/09/2021: New publication on bioinformatics workflow managers by visiting student Laura Wratten in Nature Methods. Congratulations Laura! You can read the article here
03/08/2021: Andre Sim and Joseph Lee will present their work on proActiv and bambu at BioC2020, you can still register!
21/07/2021: Our manuscript describing xPore is published in Nature Biotechnology! Congratulations Ploy Pratanwanich, Yuk Kei Wan, Chen Ying and all collaborators! xPore is available on github, with detailed documentation. You can read the paper here
22/04/2021: New preprints from our group is online! You can read about the Singapore Nanopore Expression project here, the data is available through github. Congratulations to first author Chen Ying!
28/08/2020: Jonathan will present at the Victoria Cancer Bioinformatics Meeting (Australia), you can see the program here
28/07/2020: Congratulations Chen Ying for receiving the Best Talk award in HiTSeq/ISMB 2020! Chen Ying presented about her method, bambu, for transcript discovery and quantification using Nanopore long read RNA-Seq data (https://github.com/GoekeLab/bambu)
26/06/2020: New Preprint from Ploy Pratanwanich about her method that enables the analysis of differential RNA modifications using direct RNA-Seq data: https://www.biorxiv.org/content/10.1101/2020.06.18.160010v1.full xPore is available through github page: https://github.com/GoekeLab/xpore you can read the documentation here
18/06/2020: Chen Ying and Ploy Pratanwanich will present their work on RNA modifications and transcript quantification at London Calling 2020. You can test their software on out github page: https://github.com/GoekeLab
26/03/2020: The DREAM Challenge paper on multiple myeloma risk prediction is published (you can read it here). Congratulations again to Christine and Jiayi from our group for winning this challenge and contributing the best performing predictor!
05/02/2020: The Pan Cancer Analysis of Whole Genomes (PCAWG) is published! Congratulations to everyone involved from our group, GIS and all international collaborators (see publications)
31/01/2020: Congratulations for winning the Genome Institute of Singapore graduate student prize Deniz!
13/01/2020: Deniz has prepared detailed supplementary tables for his manuscript (Demircioglu et al. (2019)). You can find the additional information here
05/11/2019: Jonathan presents at the Frontiers in Cancer Science meeting in Singapore
05/09/2019: Our first paper is published on the cover of Cell! Congratulations to the first author Deniz Demircioglu and everyone else who has contributed! You can read the article here.
01/07/2019: Postdoctoral positions are available for computational postdocs to work on long read direct RNA-Sequencing, you can contact Jonathan for more details.
28/2/2019: You can watch a webinar about the Singapore Nanopore-Expression project today
15/2/2019: Happy Chinese New Year! Some updates to the team site and new pictures from this year’s Lo Hei
Find more news in our News Archive.
Göke Lab 