voyAGEr

voyAGEr analyzes age-related gene expression changes across 49 human tissues using RNA sequencing data from the GTEx project (over 900 donors) to characterize sex- and tissue-specific transcriptomic alterations.

Key Features:

• Data Source: Integrates GTEx RNA sequencing data from over 900 individuals covering 49 human tissues.
• Visualization and Statistical Toolkit: Implements visualization tools and statistical methods to identify sex- and tissue-specific transcriptomic changes associated with aging.
• Functional Exploration: Enables analysis of functional impacts on biological pathways, cellular composition, and disease conditions.
• Asynchronous Aging Insights: Detects transcriptomic signatures of asynchronous aging and identifies tissue-specific periods of significant transcriptional change.
• Hypothesis Testing Framework: Supports formulation and testing of hypotheses on molecular mechanisms of human aging and links to pathologies to inform potential therapeutic targets.

Scientific Applications:

• Molecular characterization of aging: Profile age-associated transcriptomic alterations across tissues to characterize the molecular nature of human aging.
• Pathway and disease association studies: Investigate how tissue-specific age-related expression changes affect biological pathways and contribute to disease states.
• Study of asynchronous aging: Compare timing and extent of transcriptional changes across tissues to study asynchronous aging phenomena.

Methodology:

Integrates GTEx RNA sequencing data from over 900 donors across 49 tissues into a bioinformatics pipeline and applies visualization and statistical analyses to detect age-, sex-, and tissue-specific transcriptomic alterations.