2009
DOI: 10.1093/nar/gkn865
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Minimotif miner 2nd release: a database and web system for motif search

Abstract: Minimotif Miner (MnM) consists of a minimotif database and a web-based application that enables prediction of motif-based functions in user-supplied protein queries. We have revised MnM by expanding the database more than 10-fold to approximately 5000 motifs and standardized the motif function definitions. The web-application user interface has been redeveloped with new features including improved navigation, screencast-driven help, support for alias names and expanded SNP analysis. A sample analysis of prion … Show more

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Cited by 60 publications
(73 citation statements)
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“…There is much still to learn. An analysis of the P2X7R sequence using Minimotif Miner Scan [85][86][87] and focusing on the C terminus has allowed us to find many new and previously undiscovered motifs and domains listed in Table 1.…”
Section: What Is Expected For the Future?mentioning
confidence: 99%
“…There is much still to learn. An analysis of the P2X7R sequence using Minimotif Miner Scan [85][86][87] and focusing on the C terminus has allowed us to find many new and previously undiscovered motifs and domains listed in Table 1.…”
Section: What Is Expected For the Future?mentioning
confidence: 99%
“…There are several available linear motif databases, such as the Eukaryotic Linear Motif (ELM) database (http://elm.eu. org) [26], Minimotif Miner [27], [28], [29] and Scansite [2]. We choose the ELM database to collect our data sets, as it contains comprehensive resource of biologically validated linear motifs and provides detailed annotations for each motif [30] [31].…”
Section: Results On Real-world Data Sets With Protein Sequencesmentioning
confidence: 99%
“…For bioinformatic analysis, a number of individual Web-based programs were employed. For phosphorylation site predictions, two programs were used, NetPhosK and MiniMotif Miner (4,5,31). For protein identification, the raw mass spectra data files were converted into an mgf file format and searched against a Dictyostelium database using the program Mascot (29), licensed through the CBC-UIC Research Resources Center Proteomics and Informatics Services Facility at the University of Illinois at Chicago.…”
Section: Methodsmentioning
confidence: 99%