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Table 7 Loop caller algorithms overview (input, output, resolution)

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

 

.txt, .gz

2

HMRF Bayesian caller [36]

2015

Hi-C

.txt

\(\le 10\) KB

.hdf5, .txt

3

HiC-DC [33]

2017

Hi-C

.bam

\(\le 5\) 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

\(\le 5\) KB

.txt, .pdf

6

FitHiChIP [31]

2019

HiChIP, Hi-C

.txt, .gz, .sizes

\(\le 5\) KB

.bed

7

FitHiC2 [30]

2020

Hi-C

.txt

\(\le 40\) KB

.txt

8

FIREcaller [37]

2020

Hi-C

.gz, .hic, .cool

40 KB

.txt

9

Peakachu [38]

2020

Hi-C, Micro-C, ChIA-PET, HiChIP, PLAC-Seq, Capture Hi-C

.cool, .hic, .bedpe

10 KB

.bedpe

10

Coolpup.py [39]

2020

Hi-C

.bed, .cool, .mcool, .hic, .tsv

\(\le 10\) KB

.clpy

11

Mustache [40]

2020

Hi-C, Micro-C

.txt, .hic, .cool, .mcool

\(\le 10\) KB

.tsv

12

SIP & SIPMeta [41]

2020

Hi-C

.hic, .mcool, file

\(\le 5\) KB

file

13

Chromosight [42]

2020

Hi-C, ChIA-PET, DNA SPRITE, HiChIP, Micro-C

.cool

\(\le 10\) KB

.tsv

14

LASCA [24]

2021

Hi-C, ChIP-seq

.cool

\(\le 10\) KB

.bedpe

15

cLoops2 [26]

2021

ChIC-seq, Hi-TrAC/TrAC-looping

.bedpe

\(\le 1\) KB

.txt

16

HiC-ACT [28]

2021

Hi-C

.txt

\(\le 10\) KB

file

17

NeoLoopFinder [35]

2021

Hi-C

.mcool

10 KB

.bedGraph

18

LOOPbit [23]

2022

Hi-C

.tsv

5 KB

.tsv

19

HiCExplorer [27]

2022

Hi-C

.bam, .sam

\(\le 10\) KB

.h5

20

ZipHiC [34]

2022

Hi-C

.csv

\(\le 10\) KB

data frame

21

HiCCUPS [48]

2014

Hi-C

.hic

\(\le 5\) KB

text

22

DeepLoop [49]

2022

Hi-C

heatmap

\(\le 5\) KB

heatmap

  1. Each column denotes the information about the algorithm in order: the tool name, the year released, the 3C-based sequences data it accepts, the input data file format, the accepted input data resolution, and the output data file format. All the tools have different input and output formats, sequence data, and recommended input resolutions. It is worth noting that often many of the tools accept 3C-based data with resolutions lower than the ones stated in the table. The reported resolution for each tool is based on what was used by the authors in their manuscripts