Program Information
All times listed are in the pacific time zone.
Day 1 — Monday, April 29
| Time | Topic | Speakers |
|---|---|---|
| 8.00 | Registration, light refreshments | |
| 8.30 | Welcome |
Dan Crichton |
| 8.45 | Overview and Goals |
Bioinformatics Tailored to Meet Cancer Biomarker Research Needs |
| 9.15 | Keynote |
SPEAKERBlueprint or Parts List? The value of biomarkers for 21st century discovery science and for cancer prevention, diagnosis and treatment |
| 10.00 | Break | |
| 10.15 |
Session 1: Informatics in Biomarker Discovery The application of multiple biotechnologies to the development of cancer biomarkers is inextricably linked to the development of algorithms to support the analysis of complex data sets. This session will combine contributions from researchers who have identified key needs for support of experimental methodologies and from researchers who have developed needed algorithms for biomarker data capture, integration, and analysis. |
ORGANIZERChristos Patriotis SPEAKERSDeveloping curated databases for cancer biomarkers My Cancer Genome: Knowledge Resource to Support Genetically Informed Cancer Medicine A comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer Panel Discussion |
| 12.15 |
Lunch (on your own) |
|
| 13.45 |
Session 2: Informatics in Biomarker Validation As new biomarkers are discovered in journals each week, the need to test and validate candidate biomarkers has become critical for this field. This session will combine case studies from researchers engaged in biomarker assessment that highlight the need for informatics improvements and from researchers who have developed new algorithms to assist in biomarker data evaluation. |
ORGANIZERSMarc Lenburg SPEAKERSDevelopment and Validation of a Blood-Based Gene Expression Diagnostic for Coronary Disease Data preprocessing and integration strategies for reproducible multi-omic biomarker discovery and validation Lessons Learned from the FDA-led MAQC-II Project on the Development and Validation of Microarray-based Predictive Models Biomarker Discovery for Heterogeneous Diseases Panel Discussion |
| 16.45 | Poster Session |
ORGANIZERSMervi Heiskanen |
Day 2 — Tuesday, April 30
| Time | Topic | Speakers |
|---|---|---|
| 8.00 | Light refreshments | |
| 8.30 | Keynote |
SPEAKERGaddy Getz |
| 9.15 | Break | |
| 9.30 |
Session 3: Quality by Design in Biomarker Research The use of quality-by-design methodologies can make biomarker discovery and validation more rigorous, increasing the reproducibility of significant biomarker findings. This session will feature case studies, documentation tools, standards for minimum data to annotate, and algorithms in support of variability assessment for experimental methodology, the characterization of performance over time for methods, and the confidence associated with experimental results. By assisting in the introduction of quality-by-design concepts for biomarker research, this session will aid researchers in validating their platforms for reliable biomarker research. |
ORGANIZERSMark Thornquist SPEAKERSSelecting Clinical Specimens for Biomarker Evaluation When is Reproducibility an Ethical Issue? Forensic Bioinformatics in High-Throughput Biology Design of Clinical Proteomic Studies – Bridge the Gap from Discovery to Clinical Applications QuaMeter: Assessing longitudinal variability in LC-MS/MS proteomics Panel Discussion |
| 12.15 | Lunch (on your own) | |
| 13.45 |
Session 4: Data Integration and Biological Networks The use of multiple biotechnologies introduces the challenge of integrating across multiple data types. Frequently, the incorporation of existing knowledge in the interpretation of an experiment implies organizing and evaluating results in accordance with existing biological network data. This session will include case studies and algorithmic developments for these two challenges, seeking to identify areas of research that are most likely to pay dividends in cancer biomarker research. |
ORGANIZERSDave Tabb SPEAKERSBiomarkers as networks, not individual genes and proteins Discovering Cancer Driver Mutations in Cell Signaling Networks Using personalized genome information in proteomics analyses Analysis and curation of short-read data from CGHub/TCGA using HIVE-XLD: Evaluation of non-synonymous variation in cancer cases and controls Raja Mazumder Panel Discussion |
Day 3 — Wednesday, May 1
| Time | Topic | Speakers |
|---|---|---|
| 8.00 | Light refreshments | |
| 8.30 | Keynote |
SPEAKERVirtual Observatory, Astroinformatics, and Data-Rich Astronomy in the 21st Century |
| 9.15 | Break | |
| 9.30 |
Session 5: Biomarker Informatics Infrastructure This session will focus on supporting large-scale informatics systems for cancer research and other efforts. Examples will include large-scale data management, sharing, and discovery systems that support researchers for biomarker discovery, analysis and validation. It will include the development of data and metadata standards to enable data capture, sharing and analysis. This session will attempt to point the way forward for cancer biomarker repositories and shared analysis architecture. |
ORGANIZERSDan CrichtonJPL Mervi Heiskanen National Cancer Institute SPEAKERSInformatics Support for Precision Medicine National Cancer Institute The EDRN Knowledge System: A Big Data Infrastructure for Cancer Biomarker Research Fast and Efficient Streaming Variant Calling in Resequencing Data Intelligent Assistance to Disseminate Best Practices and Accelerate Discoveries in Cancer Omics Panel Discussion |
| 12.15 | Recommendations and Other Needs |
MODERATORMervi HeiskanenNational Cancer Institute |
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