Track 1 : 情報技術 IT基礎建設及其運用

Informatics and IT Infrastructure & Operations

對工程師而言的革新

Innovation is the process of creating MEASURABLE economic value from a product or service. It requires engineers to build high performance organizations, learn how to define and execute on customer requirements, and to develop continuous quality improvement processes to measure the performance and value of information systems. This presentation will focus on the definition of innovation for engineers, provide examples of innovation inside and outside of healthcare and the biosciences, and introduce methods and tools to encourage IT professionals to contribute to innovation in their enterprises. The complex interactions among critical success factors, the engineering organization, the definitions of failure and success, requirements management, and continuous quality improvement will be discussed. The goal of the presentation is for an engineer to understand what innovation means for his or her engineering organization: how to design a high performance organization, measure its engineering results, "sell it" to senior management and measure its success (and avoid failure). Strategically, our goal is to avoid in the biosciences, process and engineering failures experienced in other industries in the past.

Bernard Wess, President, ProtonCare and PERSEID Software

Pentaho生物資訊用數據資料庫的構築

A number of separate databases exist at the Lineberger Cancer Center that maintain information about tissue samples, microarray data and analysis, and clinical information about patients suffering from a variety of cancers. A data warehouse is being constructed that will integrate the information from these disparate data sources. The open-source Pentaho data warehouse suite is being used to implement the data warehouse. The experiences gained from integrating these data sources with Pentaho will be described.

David Jordan, M.S., Research Associate, Bioinformatics Group, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill

分子醫療革新的實現: 基於caBIG™之網路(與Track 5共同發表)

This talk will explore strategies for embracing evidence-based patient care, using caBIG™ as a case study example. caBIG™ is the cancer Biomedical Informatics Grid, an unprecedented initiative led by the NCI to create a seamless technology network that accelerates information and data translation, and enables molecular approaches to research, as well as adaptive clinical trials. caBIG™ connects its collaborators as a voluntary, open-source network of infrastructure, tools, and ideas that enables the collection, analysis, and sharing of data and knowledge along the entire research pathway from laboratory bench to patient bedside. This discussion will help to illustrate how information technology is at work to bridge the gap between clinical and research informatics.

Kenneth Buetow, Ph.D., Associate Director for Bioinformatics and Information Technology and Director, NCI Center for Biomedical Informatics and Information Technology, National Cancer Institute

Biobank個人情報管理用之高效率平台SOA之設計

The Taiwan Biobank collects biological materials, tracks clinical outcomes over time and obtains longitudinal information for population genetic analyses and disease progression studies. A state-of-the-art application of SOA design for flexible privacy data management has been proven to be effective for the project. It was launched and initiated with a pilot study in 2005, which started with 15,000 participants and increased to 200,000 participants in subsequent phases. The IT platform was designed to equip the capabilities and requirements of exchanging information between applications of electronic health records, subject coding systems, demographic information, genetic profiles, and laboratory processes. During this presentation, we will discuss the benefits of SOA design for privacy data management, the imperatives for the IT infrastructure needed, and technologies to be used to address these requirements.

Belinda Chen, B.Sc., M.Sc., Ph.D., Deputy Director, Innovative DigiTech-Enabled Applications & Services Institute (IDEAS), Institute for Information Industry

以溝通為基礎之協同創薬平台: 以未對應的感染症及癌為對象

A community-based platform is currently being used openly to help develop new treatments for neglected infectious diseases such as malaria, Chagas Disease, and African Sleeping Sickness and securely against commercial cancer targets. This new collaborative technology allows researchers to build up networks of technical experts around therapeutic or target areas thus facilitating discovery of new drug candidates. It allows scientists to speed up the research by simultaneously sharing unpublished data in the race to overcome drug resistance. Case studies from scientists working in secure collaborative groups to rapidly develop drug candidates for commercial and humanitarian markets will be presented.

Barry Bunin, Ph.D., CEO & President, Management, Collaborative Drug Discovery, Inc.

内部・外部學術資料統合

The sheer volume of data relevant to scientific decision-making within Merck is growing exponentially, both in the public domain and internal to Merck, far outpacing our ability to capture, integrate, and make it accessible when and to whom it is needed. This is due in part to the rapid growth of the relevant biomedical literature, the proliferation of high-throughput methods in genomics and other fields, and dynamic state of biological knowledge and vocabulary. This presentation will discuss a strategy used at Merck to capture and integrate gene-related information, and to distribute the data across the company using custom software tools that have helped increase the efficiency of basic research at Merck. The talk will also discuss the potential extensibility of this strategy to other domains, and scalability as part of a larger data and information management solution.

Jason Johnson Ph.D., Senior Director, Molecular Informatics, Rosetta Inpharmatics/Merck & Co., Inc.

大量、大規模計畫用之資料處理

This session will bring together data experts to discuss the data management challenges of the Life Sciences in comparison with other research disciplines. We will explore IT solutions from both academic and commercial research platforms. The applicability of data management solutions from other industries will be discussed for problems facing data architects in the Life Sciences today. We will share best practices and case study examples.

James Reaney, Director, Research Markets, BlueArc Corporation

大規模蛋白質組(Proteomics).專用之電腦計算結構

Proteomics technology is used to systematically identify and characterize proteins and their modifications within biological samples. It holds great promise to uncover medical breakthroughs at the molecular level, but requires the unprecedented ability to perform complex pattern matching in order to match the mass spectrum of a protein fragment to a subsequence within a protein sequence dataset. Special computing architectures have been developed to address the high-throughput analysis needs, some using FPGAs and multi-core CPUs. The algorithmic challenges and the architectures used to solve them will be presented.

David Chiang, Chief Executive Officer, R&D, Sage-N Research, Inc.

來自最前線的HPC趨勢

This talk will review some of BioTeam�fs recent work with biotech, pharmaceutical, government and enterprise clients. As an independent consulting firm, the BioTeam is able to see how HPC problems in life science informatics have been approached by organizations of varying type and size. Common problems and observed trends in computing, workflows and data movement will be addressed, along with details on particularly clever solutions observed in production environments around the world.

Chris Dagdigian, Founding Partner and Director of Technology, Bioteam, Inc.

生命科學運用之GRID電腦計算和儲存的設計

Over the last decade, the Information Technology team for the J. Craig Venter Institute has been researching ways to remove IT obstacles so that genomics research can be conducted at more rapid rates of growth. This presentation will describe the storage and grid environment that is deployed in support of the research. We will discuss the challenges involved in designing for such dynamic workloads, lessons learned, practices adopted to current and future growth. We will also discuss some of the new emerging technologies such as storage grids, virtualization, thin provisioning and their impact on the overall direction of IT in the Life Sciences arena.

Vadim Sapiro, Vice President for IT, Information Technology, J. Craig Venter Institute

建設基因解析實驗室時利用最新技術之功過

Integrating next generation sequencing machines into a genomics lab is not a simple proposition. Questions of lab information management, networks, automated analysis, annotation, and data coherence loom large. BioTeam has worked with several groups through this adoption period. BioTeam has performed requirements analysis, helped to shape technology choices, installed and configured hardware, and developed custom software to integrate the many pieces into a coherent and usable system. This talk will share real world experiences and specific insights into the challenges that many labs will face this year.

Chris Dwan, Director of Products and Principal Investigator, BioTeam, Inc.