Abstract:
BACKGROUND:InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not only combines a set of analysis tools, but also performs data look-up from various sources, as well as some redundancy removal. Interproscan is robust and scalable, able to perform on any machine from a netbook to a large cluster. However, when performing whole-genome or metagenome analysis, there is a need for a fast statistical visualization of the results to have good initial grasp on the functional potential of the sequences in the analyzed data set. This is especially important when analyzing and comparing metagenomic or metaproteomic data-sets. RESULTS:IPRStats is a tool for the visualization of Interproscan results. Interproscan results are parsed from the Interproscan XML or EBIXML file into an SQLite or MySQL database. The results for each signature database scan are read and displayed as pie-charts or bar charts as summary statistics. A table is also provided, where each entry is a signature (e.g. a Pfam entry) accompanied by one or more Gene Ontology terms, if Interproscan was run using the Gene Ontology option. CONCLUSIONS:We present an platform-independent, open source licensed tool that is useful for Interproscan users who wish to view the summary of their results in a rapid and concise fashion.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Kelly RJ,Vincent DE,Friedberg Idoi
10.1186/1471-2105-11-S12-S13subject
Has Abstractpub_date
2010-12-21 00:00:00pages
S13issn
1471-2105pii
1471-2105-11-S12-S13journal_volume
11 Suppl 12pub_type
杂志文章abstract:BACKGROUND:Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical fi...
journal_title:BMC bioinformatics
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abstract:: ...
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pub_type: 历史文章,杂志文章
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pub_type: 杂志文章
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更新日期:2004-11-04 00:00:00
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更新日期:2002-12-19 00:00:00
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journal_title:BMC bioinformatics
pub_type: 杂志文章
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