STAMP: A web tool for exploring DNA-binding motif similarities. STAMP is a newly developed web server that is designed to support the study of DNA-binding motifs. STAMP may be used to query motifs against databases of known motifs; the software aligns input motifs against the chosen database (or alternatively against a user-provided dataset), and lists of the highest-scoring matches are returned. Such similarity-search functionality is expected to facilitate the identification of transcription factors that potentially interact with newly discovered motifs. STAMP also automatically builds multiple alignments, familial binding profiles and similarity trees when more than one motif is inputted. These functions are expected to enable evolutionary studies on sets of related motifs and fixed-order regulatory modules, as well as illustrating similarities and redundancies within the input motif collection. STAMP is a highly flexible alignment platform, allowing users to ‘mix-and-match’ between various implemented comparison metrics, alignment methods (local or global, gapped or ungapped), multiple alignment strategies and tree-building methods. Motifs may be inputted as frequency matrices (in many of the commonly used formats), consensus sequences, or alignments of known binding sites. STAMP also directly accepts the output files from 12 supported motif-finders, enabling quick interpretation of motif-discovery analyses. STAMP is available at

References in zbMATH (referenced in 6 articles )

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  1. Yu, Shuo; Feng, Yufan; Zhang, Da; Bedru, Hayat Dino; Xu, Bo; Xia, Feng: Motif discovery in networks: a survey (2020)
  2. Kasabov, Nikola (ed.): Springer handbook of bio-/neuro-informatics (2014)
  3. Nalbantoglu, Özkan U.; Russell, David J.; Sayood, Khalid: Data compression concepts and algorithms and their applications to bioinformatics (2010) ioport
  4. Piipari, Matias; Down, Thomas A.; Hubbard, Tim J. P.: Metamotifs - a generative model for building families of nucleotide position weight matrices (2010) ioport
  5. Chan, Tak-Ming; Li, Gang; Leung, Kwong-Sak; Lee, Kin-Hong: Discovering multiple realistic TFBS motifs based on a generalized model (2009) ioport
  6. Mahony, Shaun; Benos, Panayiotis V.: STAMP: a web tool for exploring DNA-binding motif similarities. (2007) ioport