The 18th Asia Pacific Bioinformatics Conference
Postponed to 18th (Tue) - 20th (Thu) August, 2020 (final) | Samjung Hotel, Seoul, Korea
- AI and Network Bioinformatics for Multi-omics Data Analysis
- Sequencing technologies are routinely used to measure multi-omics data. However, integrative analysis of multi-omics data remains challenging due to the complex relationship among multi-omics data. In first part of this tutorial, we survey recent computational methods in Bayesian learning, network analysis, clustering analysis, tensor decomposition and deep learning. In the second part of the tutorial will show how some of the important tools can be used to perform multi-omics data analysis using The Cancer Genome Atlas data. It will include practical steps for acquiring multi-omics data, data pre-processing and downstream data analysis.
(* The tutorial will be carried out in a Linux environment. Please prepare a linux notebook or emulator beforehand.)
- Sun Kim (Seoul National University), Inuk Jung (Kyunpook National University)
Dr. Sun Kim is Professor in the School of Computer Science and Engineering, Director of Bioinformatics Institute, and an affiliated faculty for the Interdisciplinary Program in Bioinformatics at Seoul National University. Sun Kim is currently editors for the METHODS journal and International Journal of Data Mining and Bioinformatics, associate editor-in-chief for ACM/IEEE Transactions on Computational Biology and Bioinformatics, having served on the board of directors for ACM SIG Bioinformatics and for education for the IEEE Computer Society Technical Committee on Bioinformatics. Among many service activates in Korea, he served on Samsung Future Technology Committee for 2016-2018, a member of The National Science and Technology Council (NSTC) of the Korean Government for 2019-2020, President of Korea Artificial Intelligence Society (2016-2018) and Vice President of Korea Society of Bioinformatics and Systems Biology.
Dr. Inuk Jung is an Assistant Professor in the School of Computer Science and Engineering. Inuk Jung received the Ph.D degree in Bioinformatics from the Interdisciplinary Program in Bioinformatics, Seoul National University in 2017. His research interests are bioinformatics, machine learning and big data analysis. He currently investigates methods for integrating large scale multi-omics data and single-cell time-series data for identifying condition specific genes.
- Scalable single cell RNA-seq analysis on the cloud
- Computational processing of large single cell RNA-seq (scRNA-seq) data poses many challenges, including storing, processing, and analysing potentially hundreds of gigabytes of data using programs that require high CPU and memory demand. This can be especially challenging if local computational resources are limited. In this workshop, we will explore how to use commercial cloud computing resources to construct scalable computational processing pipelines for scRNA-seq data analysis, ranging from sequence read alignment, feature quantification, and downstream analyses such as dimensionality reduction, clustering, and visualisation. In this hands-on session, attendees will gain practical experience in setting up and utilising cloud computing resources to process scRNA-seq data.
- Joshua Ho (University of Hong Kong)
- Xiunan Fang, Gordon Qian (University of Hong Kong)
Dr. Joshua Ho is an Associate Professor in the School of Biomedical Sciences at the University of Hong Kong (HKU). His research laboratory specialises in developing scalable big data analytics for healthcare translation, including novel bioinformatics tools for analysis of single cell RNA-seq data, metagenomics data, and sensor data from mobile and wearable devices. Dr. Ho completed his BSc (Hon 1) and PhD in Bioinformatics at the University of Sydney. He has over 80 publications, including first or senior-author papers in Nature, Genome Biology, Nucleic Acids Research and Science Signalling.
Ms Xiunan Fang is a PhD student at the University of Hong Kong. She completed her BEng (Hon 1) from the University of Sydney.
Mr Gordon Qian is a PhD student at the University of Hong Kong. He completed his BSc (Hon 1) from the University of New South Wales.