Collections Management and High-Throughput Digitization using Distributed Cyberinfrastructure Resources

Cyberinfrastructure Supporting Evolving Data Collections

The requirements to support large-scale and complex research collections are growing at an accelerated pace. Considering the continuous evolution of the collections, their increasing sizes, the technologies supporting them, and the importance of adequate data management to long-term preservation, a team at the Texas Advanced Computing Center (TACC) developed a cyberinfrastructure to aid researc...

Optimized high throughput digitization procedure of autoradiographic and histological sections

Online resources for genomic analysis using high-throughput sequencing.

The availability of high-throughput sequencing has created enormous possibilities for scientific discovery. However, the massive amount of data being generated has resulted in a severe informatics bottleneck. A large number of tools exist for analyzing next-generation sequencing (NGS) data, yet often there remains a disconnect between these research tools and the ability of many researchers to ...

Matchmaking: Distributed Resource Management for High Throughput Computing

Conventional resource management systems use a system model to describe resources and a centralized scheduler to control their allocation. We argue that this paradigm does not adapt well to distributed systems, particularly those built to support high-throughput computing. Obstacles include heterogeneity of resources, which make uniform allocation algorithms difficult to formulate, and distribu...

MultiPhyl: a high-throughput phylogenomics webserver using distributed computing

With the number of fully sequenced genomes increasing steadily, there is greater interest in performing large-scale phylogenomic analyses from large numbers of individual gene families. Maximum likelihood (ML) has been shown repeatedly to be one of the most accurate methods for phylogenetic construction. Recently, there have been a number of algorithmic improvements in maximum-likelihood-based ...