Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence.
Sauro MenchettiAndrea PasseriniPaolo FrasconiClaudia AndreiniAntonio RosatoPublished in: RECOMB (2006)
Keyphrases
- binding sites
- biological sequences
- sequence alignment
- gene expression
- dna sequences
- sequence data
- transcription factor binding sites
- transcription factors
- protein interaction
- statistical significance
- influenza virus
- protein families
- protein protein
- genome sequences
- multiple sequence alignments
- regulatory elements
- protein sequences
- statistically significant
- microarray
- motif discovery
- sequence analysis
- genomic sequences
- natural language processing
- similarity measure