Motif-based sequence analysis tools
Tutorial and training materials by OpenHelix
|The MEME suite is a freely available collection of tools that can be used to discover motifs in a set of DNA or protein sequences. MEME stands for Multiple Expectation Maximum for Motif Elicitation. With MEME suite you can: discover motifs in DNA or protein sequences; search sequence databases using a given motifs; compare a given motif to all motifs that are in a motif database; and associate motifs with the Gene Ontology terms that are listed for a motifs putative target genes.|
- about the different components of the MEME suite, and how they interconnect
- how to discover motifs within DNA or protein sequences
- to align motifs and search for motifs
- to use the MEME suite to search for motif similarity and GO association
This tutorial is a part of the tutorial group Motif analysis tools. You might find the other tutorials in the group interesting:
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Recent BioMed Central research articles citing this resource
Levitsky G Victor et al., Application of experimentally verified transcription factor binding sites models for computational analysis of ChIP-Seq data Transcriptomic methods. BMC Genomics (2014) doi:10.1186/1471-2164-15-80
Louis Bengyella et al., Secretome weaponries of Cochliobolus lunatus interacting with potato leaf at different temperature regimes reveal a CL[xxxx]LHM - motif Proteomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-213
Bodewes Rogier et al., Viral metagenomic analysis of feces of wild small carnivores Other viruses (e.g. pox, papilloma, parvo, reoviridae). Virology Journal (2014) doi:10.1186/1743-422X-11-89
Silverman M Ian et al., RNase-mediated protein footprint sequencing reveals protein-binding sites throughout the human transcriptome. Genome Biology (2014) doi:10.1186/gb-2014-15-1-r3
Li Caili et al., Molecular characterization of the SPL gene family in Populus trichocarpa Genomics and evolution. BMC Plant Biology (2014) doi:10.1186/1471-2229-14-131
More about the resource:
The MEME suite was originally created by Timothy Bailey from the University of Queensland, Australia and William Stafford Noble from the University of Washington. Currently, the MEME suite continues to be developed and maintained by a group from the University of Queensland, the University of Washington, the University of California at San Diego, the San Diego SuperComputer Center, the NBCR, the CBRC and the National Center for Research Resources.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.