bioconductor-hicexperiment

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name: bioconductor-hicexperiment description: R generic interface to Hi-C contact matrices in .(m)cool, .hic or HiC-Pro derived formats, as well as other Hi-C processed file formats. Contact matrices can be partially parsed using a random access method, allowing a memory-efficient representation of Hi-C data in R. The HiCExperiment class stores the Hi-C contacts parsed from local contact matrix files. HiCExperiment instances can be further investigated in R using the HiContacts analysis package. when_to_use: Use when: R generic interface to Hi-C contact matrices in .(m)cool, .hic or HiC-Pro derived formats, as well as other Hi-C pro; opts using suppressPackageStartupMessages; load lib using showClass, contacts_yeast; graph using include_graphics; evaled import using HiContactsData, import; many imports using HiContactsData, CoolFile. Not for: Requires R ≥ 4.2 and Bioconductor ≥ 3.16 user-invocable: false

HiCExperiment

Workflows

Standard Workflow

library(HiCExperiment)
library(HiContactsData)

# Retrieve a sample cool file path
cool_file <- HiContactsData('yeast_wt', format = 'cool')

# Import the contact matrix as a HiCExperiment object
hic <- import(cool_file, format = 'cool', focus = 'I:20001-80000')

# Inspect the imported object
resolution(hic)

Input: A path to a .cool, .mcool, .hic, or HiC-Pro contact matrix file. Output: A parsed HiCExperiment object containing contact frequencies, genomic bins, and metadata.

When to Use

• Importing Hi-C contact matrices stored in .cool, .mcool, .hic, or HiC-Pro formats using import().
• Performing memory-efficient random access or subsetting of genomic loci during import using the focus argument.
• Coercing Hi-C experiment data into standard Bioconductor structures like GInteractions, ContactMatrix, or base matrix using as().

When NOT to Use

• For downstream Hi-C analysis tasks like compartment calling or insulation score calculation, use HiContacts instead of HiCExperiment alone.
• For subsetting HiC-Pro formatted matrices during import, as HiCExperiment does not support the focus argument for HiC-Pro files (they must be fully imported into memory).

Data Requirements

• Input files must be in .cool, .mcool, .hic, or HiC-Pro format (which consists of a .matrix and a .bed file).
• Optional .pairs or .pairs.gz files can be linked using CoolFile(), HicFile(), or HicproFile() via the pairsFile argument.

Key Parameters

• format (NULL): Specifies the file format to import (e.g., 'cool', 'pairs').
• focus (NULL): A character string (e.g., 'I:20001-80000' or 'II:1-500000|II:100001-300000') to subset contacts within a genomic locus of interest.
• resolution (NULL): Numeric value specifying the resolution at which count values are recovered from multi-resolution files.
• pairsFile (NULL): Path to a pairs file containing chimeric pairs to associate with the contact matrix.

Best Practices

• Query available resolutions in multi-resolution files using availableResolutions() before importing.
• Check available chromosomes in a file using availableChromosomes() to construct valid focus queries.
• Retrieve the genomic binning structure at the active resolution using bins() or unique regions using regions().

Common Pitfalls

• Attempting to query subsets of HiC-Pro formatted matrices using focus: This is unsupported and will cause the entire matrix to be imported into memory.
• Accessing missing scores (e.g., normalized/balanced scores) when they are not present in the input file: Verify available scores using scores(hic) first.

Alternatives

• InteractionSet: For general representation of genomic interactions without specialized Hi-C file parsers.

Citations

• Lun, Perry & Ing-Simmons, F1000 Research 2016 (for base Bioconductor classes GInteractions and ContactMatrix).

References

• Homepage: bioconductor.org/packages/HiCExperiment
• Vignette: https://bioconductor.org/packages/release/bioc/vignettes/HiCExperiment/inst/doc/HiCExperiment.html