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Table 6 Tools categories by methodology

From: Comparative study on chromatin loop callers using Hi-C data reveals their effectiveness

#

Category

Tool

A

Clustering based

i. LOOPbit [23]

  

ii. LASCA [24]

  

iii. cLoops [25]

  

iv. cLoops2 [26]

  

v. HiCCUPS [48]

B

Probability-based

i. HiCExplorer [27]

  

ii. HiC-ACT [28]

  

iii. FitHiC [29]

  

iv. FitHiC2 [30]

  

v. FitHiChIP [31]

  

vi. GOTHiC [32]

  

vii. HiC-DC [33]

  

viii. ZipHiC [34]

  

ix. NeoLoopFinder [35]

  

x. HMRF Bayesian caller [36]

C

Classification based

i. FIREcaller [37]

  

ii. Peakachu [38]

D

Computer vision based

i. Mustache [40]

  

ii. Chromosight [42]

  

iii. SIP & SIPMeta [41]

  

iv. DeepLoop [49]

E

Pile-up procedure based

i. Coolpup.py [39]

  1. All the tools are divided into five distinct categories according to their implementation method