FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation Long Description (required)
FreeHi-C (v2.0) is short for Fragment interactions empirical estimation for fast simulation of Hi-C data. It is a data-driven Hi-C data simulator for simulating and augmenting Hi-C datasets. FreeHi-C employs a non-parametric strategy for estimating an interaction distribution of genome fragments and simulates Hi-C reads from interacting fragments. Data from FreeHi-C exhibit higher fidelity to the biological Hi-C data. FreeHi-C not only can be used to study and benchmark a wide range of Hi-C analysis methods but also boosts power and enables false discovery rate control for differential interaction detection algorithms through data augmentation. Different from FreeHi-C (v1.0), a spike-in module is added enabling the simulation of true differential chromatin interactions.
FreeHi-C is designed for studies that are prone to simulate Hi-C interactions from the real data and add deviations from the true ones. Therefore, FreeHi-C requires real Hi-C sequencing data (FASTQ format) as input along with user-defined simulation parameters. FreeHi-C will eventually provide the simulated genomics contact counts in a sparse matrix format (BED format) which is compatible with the standard input of downstream Hi-C analysis. high-throughput chromatin conformation, Hi-C, differential chromatin interaction detection, https://github.com/yezhengSTAT/FreeHiC
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Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 31712779 ],
Zheng Y, Keleş S ,
FreeHi-C simulates high-fidelity Hi-C data for benchmarking and data augmentation. ,
Nat Methods ,
01-01-2020 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=31712779, Primary Citation