Movie S3 LGTV TP21-induced structures in persistently infected ISE6 cells. Animation through a z-series and 3D surface rendering of a semi-thick section of a persistently infected ISE6 cell. ER is depicted in green and vesicles & tubules in blue. Numerous long tubules are seen in a large bundle; however, smaller tubules and round vesicles are also seen. The images were aligned using Inspect3D software (FEI, Inc.) and rendered using Amira (Visage Imaging, Inc., San Diego, CA). (MP4)  SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models The remarkable advance in sequencing technology and the rising interest in medical and environmental microbiology, biotechnology, and synthetic biology resulted in a deluge of published microbial genomes. Yet, genome annotation, comparison, and modeling remain a major bottleneck to the translation of sequence information into biological knowledge, hence computational analysis tools are continuously being developed for rapid genome annotation and interpretation. Among the earliest, most comprehensive resources for prokaryotic genome analysis, the SEED project, initiated in 2003 as an integration of genomic data and analysis tools, now contains >5,000 complete genomes, a constantly updated set of curated annotations embodied in a large and growing collection of encoded subsystems, a derived set of protein families, and hundreds of genome-scale metabolic models. Until recently, however, maintaining current copies of the SEED code and data at remote locations has been a pressing issue. To allow high-performance remote access to the SEED database, we developed the SEED Servers (http://www.theseed.org/servers): four network-based servers intended to expose the data in the underlying relational database, support basic annotation services, offer programmatic access to the capabilities of the RAST annotation server, and provide access to a growing collection of metabolic models that support flux balance analysis. The SEED servers offer open access to regularly updated data, the ability to annotate prokaryotic genomes, the ability to create metabolic reconstructions and detailed models of metabolism, and access to hundreds of existing metabolic models. This work offers and supports a framework upon which other groups can build independent research efforts. Large integrations of genomic data represent one of the major intellectual resources driving research in biology, and programmatic access to the SEED data will provide significant utility to a broad collection of potential users. The growth in the number of sequenced genomes has exceeded the most ambitious past estimations [1, 2] . Today, tens of thousands of genomes are being sequenced by public and private institutions around the globe [3, 4] , and whole-genome sequencing/re-sequencing has become a routine step of virtually any analysis of microbial behavior. In some fields, researchers are sequencing hundreds of genomes from distant taxa [5] to explore microbial diversity, while elsewhere, hundreds of closely related genomes are being sequenced to understand environmental adaptation, to support pangenome reconstruction [6, 7, 8] , and to build maps of microbial variomes [9] . Sequencing is also being applied to aid in solving urgent biological problems, including the development of strategies to combat emerging or reemerging biothreats, such as the severe acute respiratory syndrome (SARS) virus [10] , the 2009 H1N1 influenza virus [11, 12] , and the 2011 German Escherichia coli outbreak [13, 14] .