SUMMARY: VarSome.com is a search engine, aggregator and impact analysis tool for human genetic variation and a community-driven project aiming at sharing global expertise on human variants. AVAILABILITY AND IMPLEMENTATION: VarSome is freely available at http://varsome.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

One of the world's largest scientific data systems, NASA's Earth observing system data and information system (EOSDIS) has stored over three petabytes of earth science data in a geographically distributed mass storage system. Design for this system began in the early 1990s and included a presentation of the design of the mass storage system at this conference in 1995. Many changes have occurred in the ten years since that presentation, much of it performed while the system was operational. In its first operational year (2000), the EOSDIS system had increased NASA's collection of earth science data holdings eight-fold. Today, EOSDIS collects over 7,000 gigabytes of data per week, almost 60 times more than the hubble space telescope. This load represents major challenges for ingest into the mass storage system, as well as for timely and balanced data distribution out of the mass storage system. This paper discusses the evolution of the EOSDIS archives focusing primarily on the mass storage system component of the archive. We present the lessons that were learned over the years and some directions that we are taking for the future.

This paper discusses lessons learned about the pros and cons of using a data warehousing approach for storage and retrieval of spatially-qualified data in the EOSDIS Data Pool. The paper presents alternative strategies for the storage and retrieval of the spatially-qualified data products, and discusses the data insert and data retrieval performance implications of each.