Conceptualizing a Genomics Software Institute (GSI)

Microbial ecology has been enhanced greatly by the ongoing ‘omics revolution, bringing half the world’s biomass and most of its biodiversity into analytical view for the first time; indeed, it feels almost like the invention of the microscope and the discovery of the new world at the same time. With major microbial ecology research efforts accumulating prodigious quantities of sequence, protein, and metabolite data, we are now poised to address environmental microbial research at macro scales, and to begin to characterize and understand the dimensions of microbial biodiversity on the planet. What is currently impeding progress is the need for a framework within which the research community can develop, exchange and discuss predictive ecosystem models that describe the biodiversity and functional interactions. Such a framework must encompass data and metadata transparency and interoperation; data and results validation, curation, and search; application programming interfaces for modeling and analysis tools; and human and technical processes and services necessary to ensure broad adoption. Here we discuss the need for focused community interaction to augment and deepen established community efforts, beginning with the Genomic Standards Consortium (GSC), to create a science-driven strategic plan for a Genomic Software Institute (GSI).

[1]  Rick L. Stevens,et al.  The RAST Server: Rapid Annotations using Subsystems Technology , 2008, BMC Genomics.

[2]  A J Butte,et al.  Challenges in bioinformatics: infrastructure, models and analytics. , 2001, Trends in biotechnology.

[3]  Pelin Yilmaz,et al.  Meeting report: GSC M5 roundtable at the 13th International Society for Microbial Ecology meeting in Seattle, WA, USA August 22-27, 2010 , 2010, Standards in genomic sciences.

[4]  P. Hugenholtz Exploring prokaryotic diversity in the genomic era , 2002, Genome Biology.

[5]  W. Whitman,et al.  Prokaryotes: the unseen majority. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[6]  I-Min A. Chen,et al.  IMG/M: a data management and analysis system for metagenomes , 2007, Nucleic Acids Res..

[7]  Tom O. Delmont,et al.  Accessing the Soil Metagenome for Studies of Microbial Diversity , 2010, Applied and Environmental Microbiology.

[8]  Pascal Simonet,et al.  Metagenomic mining for microbiologists , 2011, The ISME Journal.

[9]  Rick L. Stevens,et al.  Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project , 2010, Standards in genomic sciences.

[10]  Oliver Hofmann,et al.  ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level , 2010, Bioinform..

[11]  Susan M. Huse,et al.  The Taxonomic and Functional Diversity of Microbes at a Temperate Coastal Site: A ‘Multi-Omic’ Study of Seasonal and Diel Temporal Variation , 2010, PloS one.

[12]  G. Cochrane,et al.  The Genomic Standards Consortium , 2011, PLoS biology.

[13]  Werner Vogels,et al.  Beyond Server Consolidation , 2008, ACM Queue.

[14]  Folker Meyer,et al.  The Future of microbial metagenomics (or is ignorance bliss?) , 2011, The ISME Journal.

[15]  L. Stein The case for cloud computing in genome informatics , 2010, Genome Biology.

[16]  Andreas Wilke,et al.  phylogenetic and functional analysis of metagenomes , 2022 .