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  JCoast - A biologist-centric software tool for data mining and comparison of prokaryotic (meta) genomes

Richter, M., Lombardot, T., Kostadinov, I., Kottmann, R., Duhaime, M. B., Peplies, J., et al. (2008). JCoast - A biologist-centric software tool for data mining and comparison of prokaryotic (meta) genomes. BMC Bioinformatics, 9: 177.

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 Creators:
Richter, M.1, Author           
Lombardot, T.2, Author           
Kostadinov, I.1, Author           
Kottmann, R.1, Author           
Duhaime, M. B.1, Author           
Peplies, J.1, Author           
Gloeckner, F. O.1, Author           
Affiliations:
1Microbial Genomics Group, Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481697              
2Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481696              

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 Abstract: Background

Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed by automatic pipelines provided by the sequencing centers. Although, standardised workflows are desirable and useful in many respects, rational data mining, comparative genomics, and especially the interpretation of the sequence information in the biological context, demands for intuitive, flexible, and extendable solutions.
Results

The JCoast software tool was primarily designed to analyse and compare (meta)genome sequences of prokaryotes. Based on a pre-computed GenDB database project, JCoast offers a flexible graphical user interface (GUI), as well as an application programming interface (API) that facilitates back-end data access. JCoast offers individual, cross genome-, and metagenome analysis, and assists the biologist in exploration of large and complex datasets.
Conclusion

JCoast combines all functions required for the mining, annotation, and interpretation of (meta)genomic data. The lightweight software solution allows the user to easily take advantage of advanced back-end database structures by providing a programming and graphical user interface to answer biological questions. JCoast is available at the project homepage.

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Language(s): eng - English
 Dates: 2008-04-01
 Publication Status: Published in print
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 423588
ISI: 000255284400001
 Degree: -

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Title: BMC Bioinformatics
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 9 Sequence Number: 177 Start / End Page: - Identifier: ISSN: 1471-2105
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905000