Abstract:
BACKGROUND:Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. RESULTS:Here we introduce FANTOM, a tool that allows for exploratory and comparative analysis of metagenomics abundance data integrated with metadata information and biological databases. Importantly, FANTOM can make use of any hierarchical database and it comes supplied with NCBI taxonomic hierarchies as well as KEGG Orthology, COG, PFAM and TIGRFAM databases. CONCLUSIONS:The software is implemented in Python, is platform independent, and is available at http://www.sysbio.se/Fantom.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Sanli K,Karlsson FH,Nookaew I,Nielsen Jdoi
10.1186/1471-2105-14-38subject
Has Abstractpub_date
2013-02-01 00:00:00pages
38issn
1471-2105pii
1471-2105-14-38journal_volume
14pub_type
杂志文章abstract:BACKGROUND:The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental conditions has been dependent upon the expert opinions of well-trained biologist...
journal_title:BMC bioinformatics
pub_type: 杂志文章
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pub_type: 已发布勘误
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journal_title:BMC bioinformatics
pub_type: 杂志文章,评审
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更新日期:2014-12-30 00:00:00
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pub_type: 杂志文章
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