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
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 https://doi.org/10.1093/nar/gky431
PMID: 29846656
PMCID: PMC6030882
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