h5vc

h5vc provides a tally-based framework for scalable representation and analysis of nucleotide counts from next-generation sequencing (NGS) data, supporting exome and whole-genome datasets.

Key Features:

• Tally Data Structure: Organizes genomic data into a table of nucleotide counts across samples, strands, and genomic positions.
• HDF5-backed Storage: Leverages the HDF5 system for efficient management of large-scale NGS datasets.
• Input Handling: Creates tallies from BAM files and addresses parsing and data-collation overhead associated with BAM and VCF formats.
• Variant Analysis Functions: Provides computations and statistics for single nucleotide variant (SNV) calling and insertion/deletion (InDel) detection.
• Copy-number and Mutation Spectrum: Supports copy-number estimation and mutation spectrum analysis from tally data.
• Data Quality and Visualization: Computes data-quality metrics and supplies functions for flexible, scalable visualization of tally data.

Scientific Applications:

• SNV and InDel Calling: Enables detection and statistical assessment of single nucleotide variants and insertions/deletions from NGS data.
• Copy-number Estimation: Facilitates estimation of copy-number variation across exome and whole-genome datasets.
• Mutation Spectrum Analysis: Supports analysis of mutation spectra across samples and genomic contexts.
• High-throughput Sequencing Studies: Scales to large, ultra-deep coverage datasets typical of high-throughput sequencing projects.

Methodology:

h5vc creates tallies from BAM files, represents counts as tables across samples/strands/positions, stores data in HDF5, and computes statistics used for variant calling and related analyses.