CGIDLA

CGIDLA analyzes CpG island density and lineage-associated underrepresented permutations (LAUPs) to investigate sequence specificity and genetic features related to DNA methylation and gene regulation.

Key Features:

• CpG Island Density Analysis: Analyzes the density of CpG islands across human genes to characterize their genomic distribution and potential regulatory implications.
• TATA-box Feature Correlation: Examines relationships between CpG island density and TATA-box features to assess potential influences on transcription initiation.
• Expression Breadth Investigation: Investigates the expression breadth of human genes in relation to CpG islands to identify correlations with tissue-specific expression patterns.
• LAUPs (Lineage-associated Underrepresented Permutations) Analysis: Provides a database of LAUPs for 32 representative species to support evolutionary and lineage-specific sequence analyses.
• LAUPs Counting Functions: Implements functions for counting LAUPs to enable quantitative comparative and evolutionary analyses.

Scientific Applications:

• Methylation and Gene Regulation: Investigating regulatory roles of CpG islands and their relationships with DNA methylation and transcriptional control in human genes.
• Expression Specificity: Assessing links between CpG island characteristics and expression breadth to study tissue-specific gene expression patterns.
• Comparative Genomics and Evolution: Using LAUPs across 32 representative species to identify lineage-specific sequence patterns and inform evolutionary studies.

Methodology:

Analyzes genomic CpG island data using a computational framework that leverages publicly available databases and user-submitted sequences.