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BaMM is a web-based server with four tools: 1. de-novo discovery of enriched motifs in nucleotide sequences, 2. motif finding in nucleotide sequences, 3. Sequence searching BaMM database for transcription factor motifs, 4. keyword searching the motif database. The BaMM algorithm uses Bayesian Markov Models (BaMMs) of order 4 with AvRec score, the average recall over the TP-to-FP ratio between 1 and 100.


Sequence sites, features and motifs; ChIP-seq


  • Operation: Sequence motif recognition; Sequence motif discovery; Enrichment analysis
  • Software interface: Web user interface
  • Language: Javascript;Python
  • Operating system: Linux; Mac OS X; Microsoft Microsoft Windows
  • License: AGPL-3.0
  • Cost: Free
  • Version name: 1.4.0
  • Credit: German Federal Ministry of Education and Research (BMBF); German Research Foundation (DFG); International Max Planck Research School for Genome Science (IMPRS-GS).
  • Contact: bamm _at_
  • Collection: -


Kiesel A, Roth C, Ge W, Wess M, Meier M, Söding J "The BaMM web server for de-novo motif discovery and regulatory sequence analysis." Nucleic Acids Res. 2018; 46(W1):W215-W220
PMID: 29846656
PMCID: PMC6030882

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