a Q&A Session with John Quackenbush and Steven G. Rozen
In the lead up to the 3rd Annual Next Generation Sequencing Data Congress Oxford Global Conferences spoke with two of our congress speakers to discuss the latest in Big Data, NGS data in Cancer Biology, NGS Data novel technologies and more.
John Quackenbush, Professor of Computational Biology and Bioinformatics, Dana Farber Cancer Institute, Harvard School of Public Health will be presenting a keynote address on Big Data in Health Care and Biomedical Research. We asked John… “Can you give us an insight into the work that you are doing and what you will be sharing with the audience?”
“Every revolution in science — from Copernican heliocentric model to the rise of statistical and quantum mechanics, from Darwin’s theory of evolution and natural selection to the theory of the gene — has been driven by one and only one thing: access to data. Data allows us to test our models, to validate or invalidate them, and to refine and improve them. Today, new technologies are accelerating the rate at which we generate large volumes of diverse data, driving innovation and discovery across health and biomedical research. As the cost of sequencing a human genome has fallen to near $1000, we are seeing a drive for applications in both research and precision medicine. The challenge we face is developing computational systems and analytical methods capable of effectively collecting, managing, analyzing, and interpreting the data--in the context of the unique needs of different user communities.”
Want to read more?
Steven G. Rozen, Director, Duke-NUS Centre for Computational Biology, Associate Professor, Cancer and Stem Cell Biology Program Duke-NUS, Singapore will be presenting a stream keynote address on day one of the congress on Genome-Wide Somatic Mutation Signatures Reveal Environmental Causes Of Cancer. We spoke with Steven and asked… “What does the future hold for NGS data?”
“Several areas will benefit. In cancer research, discovery of new driver genes will remain important for some time, and NGS will also find growing application in precision oncology. As I mentioned above, my lab is particularly interested in inferring mutagenic exposures from the patterns of mutations in tumors. I am also sure that germ-line human genetics will continue to benefit from NGS. Similarly, NGS will remain important in metagenomics and in pathogen identification and discovery and in the study of pathogen evolution. Furthermore, the number of biological techniques for which NGS is a foundation is impressive. The most obvious example is RNA-seq, which is in the process of replacing gene expression microarrays for transcriptomic studies. Compared to gene-expression microarrays, RNA-seq can provide a much more complete view of the transcriptome, including, for example, alternative splicing and novel transcripts, which are often non-coding. NGS can also systematically interrogate interactions between proteins and DNA or RNA. For example, ChIP-seq lets us identify the locations of specific proteins across the genome and lets us identify the locations of important histone modifications that help regulate chromatin state and transcription. Analogously, CLIP-seq identifies protein-RNA interactions. Specialized techniques such as GRO-seq and Ribo-seq elucidate active transcription and translation. Other NGS techniques can probe the 2-dimensional structures of DNA of RNA. These and many other techniques take advantage of the fact the DNA and RNA are self-identifying molecules that can be read by NGS.”
Want to read more?
Oxford Global Conferences are proud to be hosting the 3rd Annual Next Generation Sequencing Data Congress taking place on the 15th and 16th June at the Hilton Olympia Hotel, London, UK. Bringing together over 175 senior level delegates working within the NGS Data field to discuss the latest in NGS Data Analysis, Data Management, Data Analysis Technologies, NGS Data Tools and ’Omics Data Tools for Meta-omic Data.
Over 40 presentations and case studies across 4 interactive streams:
· NGS Data Analysis: Methods, Platforms And Technologies
· NGS Data Management: Handling & Storing Data
· ‘Omics Data: Analysis & Data Tools
· Application & Development of NGS Data Tools
Register Today
On twitter? Keep up to date with the latest Congress announcements by following @NGSDataCongress or join the conversation #NGSData15.