AnCorr
AnCorr evaluates coordinate and ordinal correlations between genomic tracks and expression or protein-binding profiles while accounting for inhomogeneity in genome tracks.
Key Features:
- Innovative Analytical Criteria: Implements a novel set of criteria to assess inhomogeneity and correlations between genomic tracks.
- Genome Track Analyzer software package: Implements the analytical methodologies within the Genome Track Analyzer software package.
- Assessment of inhomogeneity: Evaluates distribution patterns within genomic tracks to identify areas of significant variance affecting analyses.
- Coordinate and ordinal correlation calculation: Calculates both coordinate and ordinal correlations between genomic features and profiles.
Scientific Applications:
- Correlation studies: Examines correlations between CpG islands and transcription start sites in the Homo sapiens genome.
- Protein-binding profiles: Analyzes protein-binding site profiles across chromosomes in Drosophila melanogaster.
- Epigenetic marker analysis: Explores relationships between DNA double-strand breaks and histone modifications in the Homo sapiens genome.
- Cross-species TSS strand correlations: Identifies correlations between transcription start sites on forward and reverse strands in Drosophila melanogaster, Caenorhabditis elegans, Mus musculus, Homo sapiens, and Danio rerio.
Methodology:
Assessment of inhomogeneity by evaluating distribution patterns within genomic tracks and calculation of coordinate and ordinal correlations between genomic features using a novel set of criteria.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- api
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP, JavaScript, Perl, C
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Kravatsky YV, Chechetkin VR, Tchurikov NA, Kravatskaya GI. Genome-wide study of correlations between genomic features and their relationship with the regulation of gene expression. DNA Research. 2015;22(1):109-119. doi:10.1093/dnares/dsu044. PMID:25627242. PMCID:PMC4379982.
Documentation
General
http://ancorr.eimb.ru/