Represent Motifs On A Dna Sequence In A Graphical Way
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11.5 years ago
novino11 ▴ 90

I have few motifs whose location on a given DNA sequence has been identified using MATCH (from TRANSFAC). MATCH provides the location of these matrices in a numerical way as motif 1 236 (+) (for an example - motif 1 is present at location 236). I want to get a graphical output by feeding the length of DNA sequence and the the position of matrices so that its easy for presentation and comparing two different sequences with almost similar motifs

Thanks in advance for any suggestions

motif visualization • 4.8k views
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6
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11.5 years ago

Perhaps look at WebLogo, which assists with making sequence logos.

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5
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11.5 years ago

You might want to look at berrylogo - it will be a more accurate means of visually comparing two motifs than a SeqLogo because a shift in nucleotide rank won't appear radically different

https://github.com/leipzig/berrylogo

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Interesting tool!

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11.5 years ago
Joseph Hughes ★ 3.0k

Have you tried the features and annotations options in Jalview

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Mary 11k

I always liked Melina II for graphical display of the features on the sequence, and it gives a sequence logo as well. http://melina2.hgc.jp/public/index.html But if your motifs aren't identified with the selected tools they offer for "methods" I don't know if it would work for you.

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cupton.uvic ▴ 50

I think this depends on the length of your sequence. Our MSA editor can add comments to a sequence (manually or from a file), and then a "visual summary" can show 100s of kb in a single picture. The file format takes motif name, postion, strand, colour for showing these annotations on the sequence. You can then save this file locally (BBB is Java) http://athena.bioc.uvic.ca/virology-ca-tools/base-by-base/

Hillary, W., S.H. Lin, and C. Upton. 2011. Base-By-Base version 2: single nucleotide-level analysis of whole viral genome alignments, BMC Microbial Informatics and Experimentation, 1:2

William Hillary, Song-Han Lin and Chris Upton*

Brodie, R., A.J. Smith, R.L. Roper, V. Tcherepanov, and C. Upton. 2004. Base-By-Base: Single nucleotide-level analysis of whole viral genome alignments, BMC Bioinformatics, 5, 96.

Cheers, Chris

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