SCONE
SCONE assesses evolutionary conservation at nucleotide (base-pair) resolution to quantify selective pressures acting on individual bases in the human genome.
Key Features:
- Base-Pair Resolution Conservation Scoring: Scores conservation at individual base-pair resolution to enable granular assessment of evolutionary dynamics.
- Rate Estimation and Neutrality Probability: Estimates the evolutionary rate for each nucleotide and computes the probability of neutrality, combining these into a SCONE score that quantifies conservation per base.
- Correlation with Human Polymorphisms: SCONE scores correlate with allele frequencies of human polymorphisms across both coding and noncoding regions.
- Analysis Beyond Canonical Conserved Regions: Identifies conserved nucleotides that lie outside longer, traditionally identified conserved elements and that show signatures of ongoing selection in allele frequency spectra.
- Functional Region Enrichment: Reveals enrichment of individually conserved positions and short (<15 bp) conserved sequences ("chunks") within functional genomic regions.
Scientific Applications:
- Predicting Functional Significance: Identifies nucleotides under selective pressure to aid prediction of the functional impact of genetic variation.
- Cis-Regulatory Sequence Analysis: Analyzes sequence substructure of cis-regulatory elements and other functional genomic regions.
- Understanding Evolutionary Dynamics: Provides insights into the evolutionary history and ongoing selection pressures acting on the human genome.
Methodology:
Integrates high-quality sequence data from up to 23 genomes to compute per-nucleotide conservation scores across approximately 1% of the human genome, reflecting historical and contemporary evolutionary pressures.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Asthana S, Roytberg M, Stamatoyannopoulos J, Sunyaev S. Analysis of Sequence Conservation at Nucleotide Resolution. PLoS Computational Biology. 2007;3(12):e254. doi:10.1371/journal.pcbi.0030254. PMID:18166073. PMCID:PMC2230682.