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Posters

Poster presentations at ISMB 2020 will be presented virtually. Authors will pre-record their poster talk (5-7 minutes) and will upload it to the virtual conference platform site along with a PDF of their poster. All registered conference participants will have access to the poster and presentation through the conference and content until October 31, 2020. There are Q&A opportunities through a chat function to allow interaction between presenters and participants.

Preliminary information on preparing your poster and poster talk are available at: https://www.iscb.org/ismb2020-general/presenterinfo#posters

Ideally authors should be available for interactive chat during the times noted below:

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Poster Session A: July 13 & July 14 7:45 am - 9:15 am Eastern Daylight Time
Session B: July 15 and July 16 between 7:45 am - 9:15 am Eastern Daylight Time
July 14 between 10:40 am - 2:00 pm EDT
Joint Inference of Clonal Structure using Single-cell DNA-Seq and RNA-Seq data
COSI: SCANGEN (Special Session)
  • Xiangqi Bai, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
  • Lin Wan, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
  • Li C. Xia, Department of Medicine, Stanford University School of Medicine, United States

Short Abstract: Latest high-throughput single-cell RNA-sequencing (scRNA-seq) and DNA-sequencing (scDNA-seq) technologies enabled cell-resolved investigation of pathological tissue clones. However, it is still technically challenging to simultaneously measure the genome and transcriptome content of a single cell. In this work, we developed CCNMF – a new computational tool utilizing the Coupled-Clone Non-negative Matrix Factorization technique to jointly infer clonal structures in single-cell genomics and transcriptomics data. We benchmarked CCNMF using both simulated and real cell mixture derived datasets and fully demonstrated its robustness and accuracy. We also applied CCNMF to the paired scRNA and scDNA data from a triple-negative breast cancer xenograft, resolved its underlying clonal structures, and identified differential genes between cell clusters. In summary, CCNMF presents a joint and coherent approach to resolve the clonal genome and transcriptome structures, which will facilitate a better understanding of the cellular and tissue changes associated with disease development.