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