TelFinder

TelFinder identifies telomeric motif sequences de novo from genomic datasets to detect tandem repeats at chromosome ends and support studies of telomere composition and evolution.

Key Features:

• De novo detection: Identifies telomeric motif sequences without prior knowledge of species-specific telomeric repeats.
• Tandem repeat identification: Detects tandemly repeated sequences characteristic of telomeres at chromosome ends.
• Cross-species detection: Applies to genomic datasets from diverse species to discover previously uncharacterized telomeric motifs.
• Variation analysis: Performs variation analyses of telomere motif sequences across chromosomes and chromosome ends.
• Validation against Telomerase Database: Achieved a 90% detection rate when tested against known telomeric sequences from the Telomerase Database.
• Complex motif detection: Capable of identifying complex telomeric motifs within genomic data.

Scientific Applications:

• Telomere composition and evolution: Enables analysis of telomere sequence composition and investigation of divergent telomeric evolution.
• Aging and senescence studies: Supports research into cellular senescence and telomere-associated mechanisms of aging.
• Cancer research: Facilitates examination of telomere dynamics relevant to cancer and chromosome stability.
• Comparative genomics: Supports comparative analysis of telomeric motifs across multiple chromosomes and species.

Methodology:

Analyzes genomic datasets to identify telomeric motifs de novo; performs variation analyses of telomere sequences across chromosomes and chromosome ends; validated by testing against known telomeric sequences from the Telomerase Database with a reported 90% detection rate.