This proposal brings together three major resources within the field of metagenomics data archiving and analysis. This computation is complicated: (1) there is a huge amount of data (2) The sequence data is a jumbled mix of fragments from different organisms (3) Decoding the DNA is hard - typically >90% of organisms within a sample are not well characterised. water, soil, animal stool), sequencing the DNA, followed by the computational analysis to decode which organisms are present and the functions they might be performing. Metagenomics is the study of these different micro-organism communities, which is achieved by isolating the DNA from the organisms within an environmental sample (e.g. Many of these communities also contain important proteins that could be useful to the biotechnological and pharmaceutical industries, such as enzymes involved in the production of antibiotics. Thus, there is intense research into micro-organism communities in many different fields, such as improving livestock yields, the recovery from bacterial infections using fecal transplants and the efficient production of biofuels. An understanding of the composition and interplay within the communities allows us to potentially manipulate them. When there is an imbalance within a community, this can lead to severe effects, such as disease in the human gut, or the inability for plants to grow efficiently in soil. There is often a complex interplay between different micro-organisms, with some organisms requiring that others be present in order for them to exist. Typically, they form the base of the food chain (such as plankton in the sea) and play essential roles in their ecosystems. Features articles that cover the major areas of fundamental and applied mathematics.Micro-organisms are found in virtually all environments.The prime outlet for the findings of scientists from the Faculty of Mathematics and Mechanics of St.Reviewers should indicate in a review (i) any relevant published work that has not been cited by the authors, (ii) anything that has been reported in previous publications and not given appropriate reference or citation, (ii) any substantial similarity or overlap with any other manuscript (published or unpublished) of which they have personal knowledge. Personal criticism of the authors must be avoided. Reviewers should formulate their statements clearly in a sound and reasoned way so that authors can use reviewer’s arguments to improve the manuscript.
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We use a single blind peer review format. Petersburg University: Mathematics is a peer reviewed journal. The following are the main subject headings: Mathematical Analysis Higher Algebra and Numbers Theory Higher Geometry Differential Equations Mathematical Physics Computational Mathematics and Numerical Analysis Statistical Simulation Theoretical Cybernetics Game Theory Operations Research Theory of Probability and Mathematical Statistics, and Mathematical Problems of Mechanics and Astronomy. Articles of the journal cover the major areas of fundamental and applied mathematics. It is the prime outlet for the findings of scientists from the Faculty of Mathematics and Mechanics of St. Petersburg University, Mathematics is a journal that publishes original contributions in all areas of fundamental and applied mathematics.
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