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此历程以从事数据管理业务软硬件的技术人员、数据库设计者、储存管理者、系统集成、分析者、及蒐集有关DNA排列信息之生物制剂/医疗领域研究人员、负责数据分析和解释的生物信息学专家等为对象。此历程的计画重点在聚集各领域的专家、创造凝集力强的综合性团队，以及能管理持续增多的排序数据手法，而各种领域的专家能从各自的立场提出意见互相讨论。 10月11日 9:00 Conference Registration and Morning Coffee
排序数据的探勘 9:30 Chairperson’s Opening Remarks 9:35 Development and Application of Genome Research and Diagnostic Technology for Disease Study Gert-Jan van Ommen, Ph.D., Head, Human Genetics, Leiden University Medical Center; Founder, Leiden Genome Technology Center (invited) 10:05 Exploring the Impact of Rare Sequences in Large Community Data Sets Alban Ramette, Ph.D., Research Scientist, Microbial Habitat Group, Max Planck Institute for Marine Microbiology High-throughput sequencing techniques are becoming attractive to molecular biologists and ecologists as they enable exploring diversity patterns in environmental samples at an unprecedented resolution. Yet, the definition of what fractions of a dataset should be considered as rare or dominant has neither been satisfactorily addressed. Here a new multivariate strategy, MultiCoLA, is described to systematically assess the impact of various rarity cutoff levels on the resulting dataset structure and on the consistency of the further ecological interpretation. 10:35 Coffee Break - Networking with Sponsors
11:45 On Post-Transcriptional Processes and Their Footprints Steve Hoffmann, Ph.D., Junior Research Group, Transcriptome Bioinformatics, Leipzig University A number of post-transcriptional processes leave specific footprints in RNA sequencing data. These modifications vary from non-templated CCA-addtion to chemical modifications of specific nucleotides adding yet another layer of complexity to transcriptome organization. Thus, high-throughput RNA sequencing technologies could prove valuable to identify and study novel mechanisms of regulation in a fast and cost-effective way. 12:15 Sponsored Presentations (Opportunities Available) 12:45 Lunch for Purchase in Exhibit Hall 9 13:45 Dedicated Poster Viewing in Exhibit Hall 9
利用云端的数据储存 14:30 Chairperson’s Remarks 14:35 Clouds and Bioinformatics Folker Meyer, Ph.D., Computational Biologist, Institute for Genomics and Systems Biology, Argonne National Lab New clouds or infrastructure as a service (IAAS) architectures are becoming available. Bioinformatics is ideally positioned to use them, but existing applications require extensive modifications to efficiently use the new environment. I will present a use case, showing the changes made to the popular MG-RAST web service backend to allow the use of “the cloud.” Sponsored by Rolf Porsche, Ph.D., IBM Partner, Head of Pharma, Life Sciences and Healthcare, IBM IBM is currently working with leading Sequencing Centers on data management challenges posed by whole genome sequencing activities. It is shown how leading edge hardware and software solutions can be used to address the related extreme requirements. In addition, IBM Research has partnered with Roche 454 to develop a new “DNA Transistor” based sequencing technology. While the technical challenges are significant, the partners are optimistic about being able to succeed with this exciting project. This discussion will also include information on current IT infrastructure for NGS as well as discussions on HPC Clouds. 15:35 Refreshment Break - Networking with Sponsors Sponsored by Detlef Labrenz, Sales Representative, DataDirect Networks, Inc. Research often calls for collaboration among teams spread across remote locations. This discussion will describe how iRODS and DataDirect’s WOS Object Storage system work together to create a distributed private storage cloud that manages replication and data protection and a framework to manage access to the data across disparate organizations. 16:30 Sponsored Presentation (Opportunity Available) 16:45 NGS-AaaS: Next-Generation Sequencing-Annotation as a Service Robert Haines, Research Computing Services, University of Manchester Next-generation sequencing technologies bring genome-wide sequencing within the reach of a greater number of research labs. The $1000 genome, however, is accompanied by the $100,000 analysis. To enable labs with limited bioinformatics capability or local compute provision to benefit from NGS, we are using the commercial Amazon EC2 cloud and the open source Taverna workflow system to operate an on-demand, low cost, on-line analytics service for DNA analysis. As a case study we will present an AaaS application for understanding genetic variation between cattle breeds. 17:15 The Atlas Platform for Secure Life Science Applications in the Cloud Misha Kapushesky, Ph.D., Functional Genomics Team Leader, EBI, Cambridge 17:45 UPPNEX - A Solution for Next-Generation Sequencing Data Management and Analysis Ola Spjuth, Ph.D., Scientific Coordinator, UPPNEX; Application Expert, UPPMAX, Uppsala University Jonas Hagberg, M.Sc., Project Leader, UPPNEX; System Expert, UPPMAX, Uppsala University UPPNEX and System Expert, UPPMAX, Uppsala University UPPNEX is the Swedish national project for next-generation sequencing data management and analysis using a shared computational cluster with a parallel file system, a graphical client for end users, a web-based knowledge base, and associated system- and application experts. We here present how UPPNEX tackles the many challenges when providing solutions for scientists in the rapidly evolving NGS landscape. 18:15 Sponsored Presentation (Opportunity Available) 18:30 Interactive Breakout Discussion Groups 19:15 BIOTECHNICA EVENT NIGHT - Keynote Presentation followed by Networking Reception. Live music and dancing
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