FreeHi-C simulates high-fidelity Hi-C data for benchmarking and data augmentation.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31712779.
- Also identified by DOI 10.1038/s41592-019-0624-3 and PMC identifier 8136837.
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Abstract
The ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a nonparametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to biological Hi-C data. FreeHi-C boosts the precision and power of differential chromatin interaction detection through data augmentation under preserved false discovery rate control.
Medical subject headings
- Benchmarking
- Chromatin
- Chromosome Mapping
- Computational Biology
- Genome, Human
- High-Throughput Nucleotide Sequencing
- Sequence Analysis, DNA