genomation

genomation provides functions to summarize, annotate, and integrate genomic interval data from diverse file types to extract biological insights from high-throughput sequencing datasets.

Key Features:

• Versatile File Compatibility: Supports a wide range of genomic interval file types, including aligned reads from HT-seq experiments, transcription factor binding sites, methylation scores, and other chromosomal-positioned features.
• Summarization and Annotation: Summarizes interval-based signals and annotates genomic features against provided genomic annotations.
• Data Integration: Integrates multiple genomics datasets by handling overlapping intervals and consolidating information across formats.
• Tabular Genomic Feature Processing: Efficiently processes tabular genomic feature data with a focus on genomic interval locations.

Scientific Applications:

• Transcriptomics: Analyzing RNA-seq and other aligned-read data to identify gene expression patterns and regulatory element associations.
• Epigenetics: Investigating methylation scores and other epigenomic signals to study their impact on gene regulation.
• Genomic Annotation: Enhancing annotation of genomic features by integrating diverse interval-based datasets such as transcription factor binding sites.

Methodology:

Efficient processing of tabular genomic feature data by locating genomic intervals and performing summarization and annotation against provided genomic annotations.