This Blog is intended to be a place for reflection on the setup and deployment of the new Microbial Antarctic Resources System (mARS). mARS is devoted to respond to the urgent need expressed by the Antarctic microbial research community to be able to discover and access existing data and to agree on operating procedures and data management standards to ensure that newly generated microbial biodiversity data is interoperable and inter-comparable.
These standards are in line with the similar developments ongoing at the Ocean Biogeographic Information System (OBIS), the Global Biodiversity Information Facility (GBIF), the Taxonomic Database Working Group (TDWG), or Genomic Standards Consortium (GSC).
The vision is to provide to the community a single access point to geo-referenced (meta)data pertaining to microbial diversity (culture collections and DNA sequence data (Sanger and next generation sequence (NGS)). In addition, we foresee downstream analysis of Antarctic microbial diversity data sets including periodic alignment of Antarctic microbial 16S rRNA gene sequences that can be queried by taxonomic group or sequence homology. We also may provide a set of services to clean data, calculate alignments and compare sequences, depending on the needs of the community building the first benchmarks on Antarctic microbial diversity.
We are now preparing a White Paper, which will take the form of a Blog, to initiate iterative discussion rounds with potential mARS users, as well as with relevant stakeholders, in order to prepare the grounds for the deployment of this initiative.
mARS is powered by the Antarctic Biodiversity Information Facility (ANTABIF), the SCAR Expert Group on Antarctic Biodiversity Informatics (EG-ABi) and the Scientific Community on Antarctic Research (SCAR).
the Microbial Antarctic Resources System (mARS) by Murray A, Van de putte A and Danis B is licensed under a Creative Commons Attribution 3.0 Unported License.
Based on a work at http://mars.biodiversity.aq.
please read and follow the Polar Information Commons norms of behavior when contributing or using mARS data.