AlignACE
AlignACE identifies conserved nucleic acid elements across sets of DNA sequences to locate regulatory motifs in upstream non-coding regions for studies of gene regulation.
Key Features:
- Pattern Recognition: Employs computational pattern-recognition algorithms to detect conserved sequence elements across multiple DNA sequences.
- Upstream Non-coding Region Analysis: Focuses searches on upstream non-coding regions of genes to locate candidate regulatory motifs.
- Regulatory Motif Identification: Identifies conserved motifs that are candidate transcription factor binding sites and other regulatory elements.
- Coregulated Gene Set Detection: Detects sets of mutually similar DNA elements to suggest groups of coregulated genes.
- Whole-genome mRNA Quantitation Integration: Integrates systematic whole-genome mRNA quantitation data to associate conserved elements with condition-responsive genes.
Scientific Applications:
- Galactose response in Saccharomyces cerevisiae: Identified the known Gal4 binding site and detected six of nine genes induced by galactose.
- Heat shock response: Revealed a cell-cycle activation motif mediating cell-cycle dependent activation and identified genes encoding nucleosomal proteins.
- Mating type regulation in Saccharomyces cerevisiae: Identified all four relevant DNA motifs and recovered most known alpha-specific genes.
Methodology:
Uses pattern-recognition algorithms to search upstream non-coding sequences for conserved DNA elements and incorporates systematic whole-genome mRNA quantitation to link conserved elements to responsive genes.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows
- Added:
- 5/16/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Roth FP, Hughes JD, Estep PW, Church GM. Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation. Nature Biotechnology. 1998;16(10):939-945. doi:10.1038/nbt1098-939. PMID:9788350.
DOI: 10.1038/nbt1098-939
PMID: 9788350