Motif analysis of Solanum lycopersicum

Combining text-mining technology with data sources from plantCARE, PLACE, AthMap etc. We collected 1,035 motifs with published annotations. With these identified motifs and published annotations, we predicted TF/TR-binding regions. In addition to scanning for motif sequences, we offer a Z–score method that calculates the significance enrichment of motifs.

1.Sequence Scan

Input a fasta sequence, we'll find out all the possible motifs.

  Example

   

2.Name Scan

Input a list of Solanum lycopersicum gene names, and we'll compute the significant motifs located at 3000bp upstream of the gene, then show each motif and its frequency, users can also significantly analyze these motifs, and a job ID will generate.

  Example

   


Or submit your previous job ID



   


3.Custom motif Scan

Input a list of Solanum lycopersicum gene names and the motif sequences you interested, we'll extract all these genes promoter sequence (3000bp upstream), then show each motif's frequency and significant analysis result.

  Example

Please input motifs splited by ":"



   


Or submit your previous job ID



   
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Maintained by Jiajie She in Zhen Su's Lab | China Agricultural University
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