From: Comparative study on chromatin loop callers using Hi-C data reveals their effectiveness
# | Tool | Year | Sequence data | Input format | Input resolution | Output format |
---|---|---|---|---|---|---|
1 | FitHiC [29] | 2014 | Hi-C, ChIA-PET | .txt | Â | .txt, .gz |
2 | HMRF Bayesian caller [36] | 2015 | Hi-C | .txt | \(\le 10\)Â KB | .hdf5, .txt |
3 | HiC-DC [33] | 2017 | Hi-C | .bam | \(\le 5\)Â KB | .rds |
4 | GOTHiC [32] | 2017 | Hi-C | .bam, .sam | \(\le 1Mb\) | .gz |
5 | cLoops [25] | 2019 | ChIA-PET, Hi-C, HiChIP, TrAC-looping | .bedpe | \(\le 5\)Â KB | .txt, .pdf |
6 | FitHiChIP [31] | 2019 | HiChIP, Hi-C | .txt, .gz, .sizes | \(\le 5\)Â KB | .bed |
7 | FitHiC2 [30] | 2020 | Hi-C | .txt | \(\le 40\)Â KB | .txt |
8 | FIREcaller [37] | 2020 | Hi-C | .gz, .hic, .cool | 40Â KB | .txt |
9 | Peakachu [38] | 2020 | Hi-C, Micro-C, ChIA-PET, HiChIP, PLAC-Seq, Capture Hi-C | .cool, .hic, .bedpe | 10Â KB | .bedpe |
10 | Coolpup.py [39] | 2020 | Hi-C | .bed, .cool, .mcool, .hic, .tsv | \(\le 10\)Â KB | .clpy |
11 | Mustache [40] | 2020 | Hi-C, Micro-C | .txt, .hic, .cool, .mcool | \(\le 10\)Â KB | .tsv |
12 | SIP & SIPMeta [41] | 2020 | Hi-C | .hic, .mcool, file | \(\le 5\)Â KB | file |
13 | Chromosight [42] | 2020 | Hi-C, ChIA-PET, DNA SPRITE, HiChIP, Micro-C | .cool | \(\le 10\)Â KB | .tsv |
14 | LASCA [24] | 2021 | Hi-C, ChIP-seq | .cool | \(\le 10\)Â KB | .bedpe |
15 | cLoops2 [26] | 2021 | ChIC-seq, Hi-TrAC/TrAC-looping | .bedpe | \(\le 1\)Â KB | .txt |
16 | HiC-ACT [28] | 2021 | Hi-C | .txt | \(\le 10\)Â KB | file |
17 | NeoLoopFinder [35] | 2021 | Hi-C | .mcool | 10Â KB | .bedGraph |
18 | LOOPbit [23] | 2022 | Hi-C | .tsv | 5Â KB | .tsv |
19 | HiCExplorer [27] | 2022 | Hi-C | .bam, .sam | \(\le 10\)Â KB | .h5 |
20 | ZipHiC [34] | 2022 | Hi-C | .csv | \(\le 10\)Â KB | data frame |
21 | HiCCUPS [48] | 2014 | Hi-C | .hic | \(\le 5\)Â KB | text |
22 | DeepLoop [49] | 2022 | Hi-C | heatmap | \(\le 5\)Â KB | heatmap |