Bailey TL. Discovering novel sequence motifs with MEME. Curr Protoc Bioinformatics. 2002; Chapter 2 :Unit 2.4. [ PubMed ]Bailey TL ( 2002 ) Discovering novel sequence motifs with MEME . Curr Protoc Bioinformatic
NC_008261.1,CP014225.1,CP023448.1,NC_007796.1,NC_002946.2,CP041695andCP003732.1(Supplementary Table1). Information related to methylation motifs are available from the REBASE database (http://rebase.neb.com)16. Data from the SMRT sequencing metagenomic study can be found under the BioProjectPRJNA...
(5). Right: Deriving protein-binding motifs from the generated RNA sequences. To train the model, we obtained a set of 213,300 unique RNA sequences (GEO: GSE15769), which were identified as binding sequences to RBPs by a custom Agilent 244K microarray experiment with known as RNAcompete...
Results: This article presents a novel mining algorithm, ARCSMotif, to discover related sequential motifs in biological sequences. ARCS-Motif is applied to 400 PROSITE datasets and compared with five alternative methods (CONSENSUS, Gibbs sampler, MEME, SPLASH and DIALIGN-TX). ARCS-Motif outperforms...
Discovering motifs in DNA and protein sequences: The approximate common substring problem - Bailey - 1995 () Citation Context ...rmation given as EF or PU values, we decided to extend the MEME motif finder. MEME is a program for finding motifs in a set of n unaligned nucleotide or ...