Hi,
No you are correct, MotifbreakR will be needed to predict TF binding from the SNP. I wanted to first identfiy what motifs were present in this sequence, but wanted to provide context as to why I was searching such a small sequence.
I am trying to identify whether a SNP will affect TF binding. Here is the DNA sequence that I have obtained:
>hg19_dna range=chr21:39819567-39819957 5'pad=0 3'pad=0 strand=+ repeatMasking=none
TAGACTTAGTCATGCTAATTAAGACAAAAATTAGACCTTATTAAAAAATT
TTTGCAAAACAGATACTCCCTTCCCATGGTGGCACTGGCTAGTGTGTTTT
ACAGGCTCAGAACAGGAAACAGAGCTGATGGCTGCTGCCTCTCTCCTTCC
TGGGCCTGAGACTCGACCAAGGCTCGCAGGGGAATAACACACTATGTAAT
GTTAGCTTTGGCTCACCCATGATGAGAAACATGAACAAATGTGTGATTTA
TATCAGAAATTGGCGAAAACAGGTTATATATATAAGAAACAGGCTAAATT
TAAAATTACAAACTAAAAAGGAAATGGCTGCAACAATAACAAACAAGCAA
TAACTTTAAAGTATTAGTATTTCTCCAAGATAAAGTAAGCT
Because it is such as short sequence, I am getting errors/non-reliable results from software such as HOMER and MEME. LASAGNA seems to have worked on the sequence, but I would like to view results in one of the other software mentioned above. Are there any suggestions on how to approach this?
Many Thanks
FIMO is the choice here as it scans for individual motif occurrence rather than checking for overrepresentation which is meaningless with a single sequence. fimo takes as input your fasta and a collection of transcription factor motifs which you could e.g. download from JASPAR. I typically find the nonredundant vertebrate core collection in MEME format helpful.
Does homer or meme tells if a SNP effects a TF binding ? You need to use tools like MotifbreakeR , unless I missed something from your statement "I am trying to identify whether a SNP will affect TF binding".
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