Changes between Version 4 and Version 5 of SOPs/enriched_tf_binding_sites
- Timestamp:
- 05/13/16 14:59:28 (9 years ago)
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SOPs/enriched_tf_binding_sites
v4 v5 13 13 14 14 {{{ 15 //meme testsmall.FA -oc TEST-OUT -dna // 16 //meme seq.fa -minw 6 -maxw 50 -mod oops // 15 meme testsmall.FA -oc TEST-OUT -dna 16 meme seq.fa -minw 6 -maxw 50 -mod oops 17 # Look for 5 motifs of width 5-15, with 0 or 1 motifs per sequence expected 18 meme Promoters.fa -dna -oc . -mod zoops -nmotifs 5 -minw 5 -maxw 15 -revcomp 17 19 }}} 18 20 … … 27 29 anr Any number 28 30 }}} 31 32 Tomtom can then be run to compare MEME motifs to database(s) of known motifs. It's part of the MEME suite. 33 34 {{{ 35 tomtom -no-ssc -oc . -verbosity 1 -min-overlap 5 -mi 1 -dist pearson -evalue -thresh 10.0 -o tomtom_out meme_out/meme.txt /nfs/BaRC_datasets/MEME_matrix_databases/Jaspar.meme.2016.txt /nfs/BaRC_datasets/MEME_matrix_databases/MotifDb.matrices.out.txt /nfs/BaRC_datasets/MEME_matrix_databases/Transfac_2014.1.dat.txt 36 }}} 37 29 38 ==== MEME-ChIP ==== 30 39 Motif Analysis of Large DNA Datasets. It is especially appropriate for analyzing the bound genomic regions identified in a transcription factor (TF) ChIP-seq experiment. Note, MEME-ChIP pre-processes the data around the center of the region, "Prior to motif discovery and motif enrichment analysis, MEME-ChIP centers and trims each sequence to 100 bp; the full-length sequences are used in the subsequent motif visualization step." [[http://bioinformatics.oxfordjournals.org/content/27/12/1696.full | MEME-ChIP]]