An Optimized Data Structure for High Throughput 3D Proteomics Data: mzRTree

As an emerging field, MS-based proteomics still requires software tools for efficiently storing and accessing experimental data. In this work, we focus on the management of LC-MS data, which are typically made available in standard XML-based portable formats. The structures that are currently employed to manage these data can be highly inefficient, especially when dealing with high-throughput profile data. LC-MS datasets are usually accessed through 2D range queries. Optimizing this type of operation could dramatically reduce the complexity of data analysis. We propose a novel data structure for LC-MS datasets, called mzRTree, which embodies a scalable index based on the R-tree data structure. mzRTree can be efficiently created from the XML-based data formats and it is suitable for handling very large datasets. We experimentally show that, on all range queries, mzRTree outperforms other known structures used for LC-MS data, even on those queries these structures are optimized for. Besides, mzRTree is also more space efficient. As a result, mzRTree reduces data analysis computational costs for very large profile datasets.Comment: Paper details: 10 pages, 7 figures, 2 tables. To be published in Journal of Proteomics. Source code available at http://www.dei.unipd.it/mzrtre

Adenovirus Type 7 Genomic-Type Variant, New York City, 1999

An outbreak of respiratory illness occurred in a long-term care facility in New York City. Investigation of the outbreak identified confirmed or suspected adenoviral infection in 84% of the residents from October 19 to December 18, 1999. Further identification by type-specific neutralization and restriction analysis identified a new genomic variant of adenovirus type 7

Post-Acute Care Payment Reform Demonstration: Final Report Volume 4 of 4

This is the Final Report for the Post-Acute Care Payment Reform Demonstration (PAC-PRD), authorized by section 5008 of the Deficit Reduction Act of 2005, Public Law 109-171. The report has 12 sections, which are divided into four volumes: Volume 1: Executive Summary. Volume 2: Sections 1-4 (Section 1: Introduction; Section 2: Underlying Issues of the PAC-PRD Initiating Legislation; Section 3: Developing Standardized Measurement Approaches: The Continuity Assessment Record and Evaluation (CARE); Section 4: Demonstration Methods and Data Collection) Volume 3: Sections 5-6 (Section 5: Framework for Analysis; Section 6: Factors Associated with Hospital Discharge Destination) Volume 4: Sections 7-12; References (Section 7: Outcomes: Hospital Readmissions; Section 8: Outcomes: Functional Status; Section 9: Determinants of Resource Intensity: Methods and Analytic Sample Description; Section 10: Determinants of Resource Intensity: Lessons from the CART Analysis; Section 11: Determinants of Resource Intensity: Multivariate Regression Results; Section 12: Conclusions and Review of Findings; References

Post-Acute Care Payment Reform Demonstration: Final Report Volume 2 of 4

This is the Final Report for the Post-Acute Care Payment Reform Demonstration (PAC-PRD), authorized by section 5008 of the Deficit Reduction Act of 2005, Public Law 109-171. The report has 12 sections, which are divided into four volumes: Volume 1: Executive Summary. Volume 2: Sections 1-4 (Section 1: Introduction; Section 2: Underlying Issues of the PAC-PRD Initiating Legislation; Section 3: Developing Standardized Measurement Approaches: The Continuity Assessment Record and Evaluation (CARE); Section 4: Demonstration Methods and Data Collection) Volume 3: Sections 5-6 (Section 5: Framework for Analysis; Section 6: Factors Associated with Hospital Discharge Destination) Volume 4: Sections 7-12; References (Section 7: Outcomes: Hospital Readmissions; Section 8: Outcomes: Functional Status; Section 9: Determinants of Resource Intensity: Methods and Analytic Sample Description; Section 10: Determinants of Resource Intensity: Lessons from the CART Analysis; Section 11: Determinants of Resource Intensity: Multivariate Regression Results; Section 12: Conclusions and Review of Findings; References