Technology Driving Precision Medicine

Co-Located with Molecular Med TRI-CON Asia

May 28-31, 2013
Marina Bay Sands, Singapore

Archived Content

Cambridge Healthtech Institute & Bio-IT World's Inaugural
NGS Data Management and Interpretation
June 7-8, 2012 

Day 1 | Day 2 


12:30 Conference Registration

Transcriptome And Non-Coding RNAs 

13:25 Chairperson’s Remarks

Yoshihide Hayashizaki, M.D., Ph.D., Director, RIKEN Omics Science Center

13:30 Next-Generation Sequencing Based Approach toward Cellular Transcriptional Network

Yoshihide HayashizakiYoshihide Hayashizaki, M.D., Ph.D., Director, RIKEN Omics Science Center

Recent progress of next-generation DNA sequencing has enabled us to comprehensively analyze large-scale genetic information. This can be seen in new techniques currently available in laboratories such as RNA sequencing, transcription starting sites detection, epigenetic analysis and analysis of 3D relationships among the regions of DNA using Chip-seq. Using this revolutionary technology we analyzed transcriptional regulatory networks based on actual measurement value with various bioinformatics techniques in the international consortium, FANTOM4. Our current project FANTOM5 will also be covered.

14:00 Identifying the Functional Consequences of Genetic Variation in Human Regulatory Genes

Rohan Williams, Ph.D., Principal Investigator and Deputy Cluster Leader, Singapore Centre on Environmental Life Sciences Engineering

Recent advances in genome-wide genotyping and sequencing have provided an unprecedented view of the nature and scope of genetic variation in human populations, but utilizing these new data to understand the biological basis of inter-individual phenotypic differences remains one of the outstanding challenges of contemporary genetics. Here, I will describe several approaches we have developed to investigate the functional outcomes of variants in regulatory genes (transcription factors, microRNAs), as measured at the level of global gene expression.

Appistry 14:30 Intelligent Genomics in the CloudSultan Meghji, Vice President, Product Strategy, AppistryWith Ayrris™ / BIO, Appistry brings intelligence to the process of moving, analyzing and storing genetic data– and a proactive approach to genomic intelligence and personalized medicine. In this software spotlight, Sultan Meghji will cover HPC and Cloud technologies that empower users to integrate clinically actionable bioinformatics into their practice by managing the complexities of NGS analysis and data management, while remaining compliant with regulatory structures. Case studies included.

15:00 Refreshment Break in the Exhibit Hall with Poster Viewing

15:30 NGS Transcript Variation in Dendritic Cell Subsets in Response to Viral Infection

Michael PoidingerMichael Poidinger, Ph.D., Principal Investigator, Bioinformatics, Singapore Immunology Network

Dendritic cells (DCs) are the major antigen presenting cells of the immune system. They have a complicated lineage (deriving from both myeloid and lymphoid compartments) and consist of a wide range of subtypes in various tissues, each performing different and overlapping roles in immunity. We have performed an RNAseq analysis of two primary human DC subtypes (BDCA1 and BDCA3) resting and in response to virus challenge, and discovered a range of transcriptional variation both related and unrelated to overall gene expression change between infection and control and between subtypes.

16:00 Decoding Epigenetics Regulation of Non-Coding RNAs in Male Germ Cell Tumors

Tin-Lap LeeTin-Lap Lee, Ph.D., Associate Professor, Reproduction, Development and Endocrinology Program, School of Biomedical Sciences, The Chinese University of Hong Kong

To decode epigenetic alternations of non-coding RNAs in TGCT development, we applied MeDIP approach on mouse and human samples. To gain a better understanding of miRNA regulations, we also applied ChIP-seq approach to capture argonaute-miRNA complex to generate functionally relevant miRNA binding site maps in normal male germ cell and TGCT. A list of functional epi-miRNAs and non-epi-miRNAs are identified. Such information offers a novel approach to understanding combinatorial control of target RNA expression in TGCT development.

16:30 End of the Session

17:30 – 18:00 Dinner Short Course Registration

18:00 – 20:00 Dinner Short Courses 


Day 1 | Day 2