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The MEME Suite

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 07 May 2015 Australia Publisher:Oxford University Press (OUP)Journal:Nucleic Acids Research, volume 43, pages W39-W49 (issn: 0305-1048, eissn: 1362-4962,

Authors: Bailey, Timothy L.; Johnson, James; Grant, Charles E.; Noble, William S.;

doi: 10.1093/nar/gkv416

pmid: 25953851

pmc: PMC4489269

The MEME Suite

- Summary
- Subjects
- Metrics

Abstract

The MEME Suite is a powerful, integrated set of web-based tools for studying sequence motifs in proteins, DNA and RNA. Such motifs encode many biological functions, and their detection and characterization is important in the study of molecular interactions in the cell, including the regulation of gene expression. Since the previous description of the MEME Suite in the 2009 Nucleic Acids Research Web Server Issue, we have added six new tools. Here we describe the capabilities of all the tools within the suite, give advice on their best use and provide several case studies to illustrate how to combine the results of various MEME Suite tools for successful motif-based analyses. The MEME Suite is freely available for academic use at http://meme-suite.org, and source code is also available for download and local installation.

Country

Australia

Related Organizations

University of Mary
United States
University of Queensland
Australia
University of Queensland
Australia
Washington State University
United States
University of Queensland
Australia

Keywords

Evolution, Amino Acid Motifs, Plasmodium falciparum, Protozoan Proteins, Targeting Signal, Protein Sorting Signals, Tools, 1311 Genetics, Sequence Analysis, Protein, Web Server issue, Protein Interaction Domains and Motifs, Novo Motif Discovery, Nucleotide Motifs, Internet, Nucleotide Sequences, Sequence Analysis, RNA, Chip Seq Data, Proteins, Dna, DNA, Sequence Analysis, DNA, Binding, Receptors, Calcitriol, Software

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 0.1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%