To filter Acr candidates by their co-occurrence with CRISPR-Cas subtypes, select a subtype below.

Cluster CRISPR-Cas Subtypes Size Mean Model Score Sample Accession / Location Percentage HTH-Adjacent Percentage Self-Targeting
cluster_5382 I-A, I-D, III, III-A, III-B, III-D 19 0.23 AHJP01000004.1:481348-481530:- 5.26 5.56
cluster_5365 I-C, II-A, II-C, V-A, undetermined (II-C/II-B) 19 0.22 AUKC01000004.1:86620-87111:- 10.53 10.53
cluster_5306 I-E, I-F 19 0.19 ELD30378.1 10.53 11.11
cluster_5078 I-B, I-C, I-E, I-F, II-A, III-A, III-D 20 0.69 KMO87918.1 5.0 5.0
cluster_5077 I-B, IV-A 20 0.62 EQH18732.1 100.0 10.0
cluster_5186 I-C, I-E, I-F 20 0.45 ATOJ01000032.1:69221-69424:- 95.0 40.0
cluster_5240 I-E, II-C 20 0.39 AEI09241.1 55.0 25.0
cluster_5193 I-B 20 0.38 EQI89955.1 95.0 5.0
cluster_5129 I-B, I-C, I-E, II-A, undetermined (II-A/III-D) 20 0.36 EPU63039.1 95.0 15.0
cluster_5158 I-C, I-E, I-F, II-C, IV-A 20 0.34 JTPA01000052.1:9416-10006:+ 5.0 42.11
cluster_5015 I-B, I-E 20 0.16 KOG81176.1 90.0 15.0
cluster_4919 I-B 21 0.51 CCL78262.1 100.0 33.33
cluster_4939 I-B, I-C, I-E 21 0.39 EKQ82088.1 100.0 19.05
cluster_4783 I-B, I-C, I-E, III-D 21 0.39 KFB06084.1 4.76 25.0
cluster_4942 I-B, I-D, II-A, II-C, III-A, III-B, III-D 21 0.27 ACF14943.1 52.38 20.0
cluster_4739 II-A 22 0.72 CEET01000148.1:1158-1553:- 90.91 81.82
cluster_4578 I-B, IV-A 22 0.71 EQL11863.1 4.55 36.36
cluster_4645 I-C, I-E, I-F, II-C, III-A 22 0.6 AZOD01000009.1:100271-100528:+ 13.64 27.27
cluster_4685 I-C, II-C 22 0.41 EGF09671.1 4.55 90.91
cluster_4501 I-C, II-A 23 0.79 CEDG01000005.1:58525-58902:+ 73.91 18.18
cluster_4514 I-B, I-C, II-C, III, III-B, III-D 23 0.7 KIQ93617.1 47.83 38.1
cluster_4442 I-C, I-E, II-A 23 0.64 BACQ01000033.1:24575-24877:+ 8.7 4.55
cluster_4527 I-E, II-C, IV-A 23 0.46 AJI77579.1 4.35 34.78
cluster_4447 I-B, III, III-B 23 0.31 LFPJ01000006.1:82599-82760:+ 34.78 5.56
cluster_4459 I-E, I-F 23 0.28 CCQY01000326.1:7228-7449:+ 100.0 10.0