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  MetaLook: a 3D visualisation software for marine ecological genomics

Lombardot, T., Kottmann, R., Giuliani, G., de Bono, A., Addor, N., & Glöckner, F. O. (2007). MetaLook: a 3D visualisation software for marine ecological genomics. BMC Bioinformatics, 8: 406.

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 Creators:
Lombardot, T.1, Author           
Kottmann, R.2, Author           
Giuliani, G., Author
de Bono, A., Author
Addor, N., Author
Glöckner, F. O.2, Author           
Affiliations:
1Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481696              
2Microbial Genomics Group, Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481697              

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 Abstract: Background

Marine ecological genomics can be defined as the application of genomic sciences to understand the structure and function of marine ecosystems. In this field of research, the analysis of genomes and metagenomes of environmental relevance must take into account the corresponding habitat (contextual) data, e.g. water depth, physical and chemical parameters. The creation of specialised software tools and databases is requisite to allow this new kind of integrated analysis.
Results

We implemented the MetaLook software for visualisation and analysis of marine ecological genomic and metagenomic data with respect to habitat parameters. MetaLook offers a three-dimensional user interface to interactively visualise DNA sequences on a world map, based on a centralised georeferenced database. The user can define environmental containers to organise the sequences according to different habitat criteria. To find similar sequences, the containers can be queried with either genes from the georeferenced database or user-imported sequences, using the BLAST algorithm. This allows an interactive assessment of the distribution of gene functions in the environment.
Conclusion

MetaLook allows scientists to investigate sequence data in their environmental context and to explore correlations between genes and habitat parameters. This software is a step towards the creation of specialised tools to study constrained distributions and habitat specificity of genes correlated with specific processes.

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Language(s): eng - English
 Dates: 2007-10-22
 Publication Status: Issued
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 341953
ISI: 000251608600001
 Degree: -

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Title: BMC Bioinformatics
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 8 Sequence Number: 406 Start / End Page: - Identifier: ISSN: 1471-2105
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905000