Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSANAP00000014273 | zf-nanos | PF05741.13 | 1.4e-24 | 1 | 1 |
ENSANAP00000014272 | zf-nanos | PF05741.13 | 1.6e-24 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSANAT00000032103 | NANOS3-201 | 540 | XM_012457749 | ENSANAP00000014272 | 179 (aa) | XP_012313172 | A0A2K5CZZ7 |
ENSANAT00000032104 | NANOS3-202 | 504 | - | ENSANAP00000014273 | 167 (aa) | - | A0A2K5D007 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSANAG00000025042 | NANOS3 | 78 | 48.276 | ENSG00000188425 | NANOS2 | 96 | 45.833 | Homo_sapiens |
ENSANAG00000025042 | NANOS3 | 83 | 90.845 | ENSG00000187556 | NANOS3 | 99 | 83.041 | Homo_sapiens |
ENSANAG00000025042 | NANOS3 | 64 | 39.844 | ENSAPOG00000020274 | nanos2 | 77 | 37.500 | Acanthochromis_polyacanthus |
ENSANAG00000025042 | NANOS3 | 67 | 34.167 | ENSAPOG00000005093 | - | 51 | 34.167 | Acanthochromis_polyacanthus |
ENSANAG00000025042 | NANOS3 | 89 | 80.132 | ENSAMEG00000012972 | NANOS3 | 95 | 75.595 | Ailuropoda_melanoleuca |
ENSANAG00000025042 | NANOS3 | 62 | 39.091 | ENSACIG00000007105 | nanos2 | 67 | 39.091 | Amphilophus_citrinellus |
ENSANAG00000025042 | NANOS3 | 70 | 37.209 | ENSAOCG00000009429 | nanos2 | 81 | 36.290 | Amphiprion_ocellaris |
ENSANAG00000025042 | NANOS3 | 64 | 39.669 | ENSAPEG00000019139 | nanos2 | 81 | 39.535 | Amphiprion_percula |
ENSANAG00000025042 | NANOS3 | 64 | 39.200 | ENSATEG00000009393 | nanos2 | 76 | 39.024 | Anabas_testudineus |
ENSANAG00000025042 | NANOS3 | 76 | 42.857 | ENSACAG00000025452 | - | 96 | 42.857 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000026679 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000027440 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000017474 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.750 | ENSACAG00000024434 | - | 95 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 42.105 | ENSACAG00000026660 | - | 96 | 42.105 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.511 | ENSACAG00000023813 | - | 97 | 43.511 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 44.094 | ENSACAG00000022236 | - | 95 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.307 | ENSACAG00000025044 | - | 95 | 42.520 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.571 | ENSACAG00000025556 | - | 95 | 43.571 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000025260 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 42.857 | ENSACAG00000024524 | - | 96 | 42.857 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.727 | ENSACAG00000025632 | - | 97 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 44.531 | ENSACAG00000022088 | - | 95 | 44.531 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 46.094 | ENSACAG00000022207 | - | 97 | 46.094 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024639 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024274 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 45.312 | ENSACAG00000026819 | - | 95 | 45.312 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.727 | ENSACAG00000014502 | - | 97 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024504 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 44.186 | ENSACAG00000025505 | - | 97 | 44.186 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000023428 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 44.094 | ENSACAG00000027983 | - | 95 | 43.307 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.307 | ENSACAG00000022322 | - | 95 | 42.520 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 42.857 | ENSACAG00000026350 | - | 96 | 42.857 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024364 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 46.094 | ENSACAG00000024432 | - | 97 | 46.094 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024218 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.727 | ENSACAG00000022321 | - | 97 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000026478 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.007 | ENSACAG00000024003 | - | 97 | 42.969 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000027995 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000022861 | - | 97 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000023803 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.750 | ENSACAG00000026716 | - | 95 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000027728 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 43.750 | ENSACAG00000025729 | - | 95 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000027196 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000023391 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000025093 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000023650 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.007 | ENSACAG00000024995 | - | 95 | 42.969 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000027265 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000023855 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.727 | ENSACAG00000028048 | - | 97 | 43.750 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024568 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 42.857 | ENSACAG00000027568 | - | 96 | 42.857 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 46.875 | ENSACAG00000023519 | - | 95 | 46.875 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 76 | 42.857 | ENSACAG00000005197 | - | 96 | 42.857 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000022041 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000010268 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000022790 | - | 97 | 41.406 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000026317 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000022675 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000025655 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000026771 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000023774 | - | 57 | 57.500 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000026757 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000027212 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000023823 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 39.568 | ENSACAG00000022918 | - | 95 | 40.876 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 41.007 | ENSACAG00000026334 | - | 95 | 42.969 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024972 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000025307 | - | 95 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 78 | 40.288 | ENSACAG00000024370 | - | 97 | 41.606 | Anolis_carolinensis |
ENSANAG00000025042 | NANOS3 | 62 | 36.538 | ENSACLG00000027005 | nanos2 | 68 | 36.538 | Astatotilapia_calliptera |
ENSANAG00000025042 | NANOS3 | 66 | 34.932 | ENSACLG00000013474 | - | 79 | 32.886 | Astatotilapia_calliptera |
ENSANAG00000025042 | NANOS3 | 67 | 31.579 | ENSAMXG00000043091 | nanos1 | 83 | 33.553 | Astyanax_mexicanus |
ENSANAG00000025042 | NANOS3 | 67 | 31.373 | ENSAMXG00000030027 | NANOS1 | 83 | 33.333 | Astyanax_mexicanus |
ENSANAG00000025042 | NANOS3 | 99 | 72.678 | ENSBTAG00000000399 | NANOS3 | 95 | 76.687 | Bos_taurus |
ENSANAG00000025042 | NANOS3 | 78 | 45.455 | ENSBTAG00000047505 | NANOS2 | 96 | 47.015 | Bos_taurus |
ENSANAG00000025042 | NANOS3 | 78 | 45.324 | ENSCJAG00000012141 | NANOS2 | 94 | 46.269 | Callithrix_jacchus |
ENSANAG00000025042 | NANOS3 | 100 | 95.556 | ENSCJAG00000004388 | NANOS3 | 100 | 95.556 | Callithrix_jacchus |
ENSANAG00000025042 | NANOS3 | 77 | 48.529 | ENSCAFG00000024541 | NANOS2 | 97 | 48.529 | Canis_familiaris |
ENSANAG00000025042 | NANOS3 | 84 | 76.667 | ENSCAFG00000016592 | NANOS3 | 82 | 79.618 | Canis_familiaris |
ENSANAG00000025042 | NANOS3 | 84 | 76.667 | ENSCAFG00020006694 | NANOS3 | 82 | 79.618 | Canis_lupus_dingo |
ENSANAG00000025042 | NANOS3 | 77 | 48.529 | ENSCAFG00020001772 | NANOS2 | 97 | 48.529 | Canis_lupus_dingo |
ENSANAG00000025042 | NANOS3 | 83 | 81.560 | ENSCHIG00000007837 | NANOS3 | 95 | 75.294 | Capra_hircus |
ENSANAG00000025042 | NANOS3 | 78 | 45.455 | ENSCHIG00000012637 | NANOS2 | 96 | 47.015 | Capra_hircus |
ENSANAG00000025042 | NANOS3 | 99 | 72.283 | ENSTSYG00000026709 | NANOS3 | 93 | 76.970 | Carlito_syrichta |
ENSANAG00000025042 | NANOS3 | 86 | 81.507 | ENSCAPG00000014339 | NANOS3 | 99 | 81.410 | Cavia_aperea |
ENSANAG00000025042 | NANOS3 | 76 | 50.735 | ENSCAPG00000016771 | NANOS2 | 94 | 49.606 | Cavia_aperea |
ENSANAG00000025042 | NANOS3 | 86 | 80.667 | ENSCPOG00000020727 | NANOS3 | 87 | 81.290 | Cavia_porcellus |
ENSANAG00000025042 | NANOS3 | 76 | 50.735 | ENSCPOG00000014969 | NANOS2 | 94 | 49.606 | Cavia_porcellus |
ENSANAG00000025042 | NANOS3 | 92 | 90.476 | ENSCCAG00000036253 | NANOS3 | 94 | 90.244 | Cebus_capucinus |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSCATG00000018951 | NANOS2 | 96 | 46.528 | Cercocebus_atys |
ENSANAG00000025042 | NANOS3 | 84 | 81.707 | ENSCATG00000034885 | NANOS3 | 99 | 73.196 | Cercocebus_atys |
ENSANAG00000025042 | NANOS3 | 75 | 51.908 | ENSCLAG00000001832 | NANOS2 | 95 | 51.908 | Chinchilla_lanigera |
ENSANAG00000025042 | NANOS3 | 99 | 68.984 | ENSCLAG00000015139 | NANOS3 | 96 | 71.429 | Chinchilla_lanigera |
ENSANAG00000025042 | NANOS3 | 84 | 80.357 | ENSCSAG00000006428 | NANOS3 | 99 | 73.333 | Chlorocebus_sabaeus |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSCSAG00000019629 | NANOS2 | 96 | 45.833 | Chlorocebus_sabaeus |
ENSANAG00000025042 | NANOS3 | 78 | 44.681 | ENSCHOG00000001937 | NANOS2 | 97 | 42.759 | Choloepus_hoffmanni |
ENSANAG00000025042 | NANOS3 | 78 | 41.429 | ENSCPBG00000007141 | NANOS2 | 87 | 42.336 | Chrysemys_picta_bellii |
ENSANAG00000025042 | NANOS3 | 74 | 52.308 | ENSCPBG00000023819 | NANOS3 | 92 | 52.308 | Chrysemys_picta_bellii |
ENSANAG00000025042 | NANOS3 | 83 | 90.845 | ENSCANG00000034930 | NANOS3 | 99 | 82.941 | Colobus_angolensis_palliatus |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSCANG00000012014 | NANOS2 | 96 | 46.528 | Colobus_angolensis_palliatus |
ENSANAG00000025042 | NANOS3 | 78 | 43.165 | ENSCGRG00001013726 | Nanos2 | 96 | 44.030 | Cricetulus_griseus_chok1gshd |
ENSANAG00000025042 | NANOS3 | 99 | 70.330 | ENSCGRG00001023851 | Nanos3 | 87 | 78.146 | Cricetulus_griseus_chok1gshd |
ENSANAG00000025042 | NANOS3 | 78 | 43.165 | ENSCGRG00000019170 | Nanos2 | 96 | 44.030 | Cricetulus_griseus_crigri |
ENSANAG00000025042 | NANOS3 | 99 | 72.619 | ENSCGRG00000017734 | Nanos3 | 94 | 72.619 | Cricetulus_griseus_crigri |
ENSANAG00000025042 | NANOS3 | 65 | 36.434 | ENSCSEG00000017157 | nanos2 | 78 | 41.270 | Cynoglossus_semilaevis |
ENSANAG00000025042 | NANOS3 | 66 | 32.432 | ENSCVAG00000019077 | - | 77 | 33.333 | Cyprinodon_variegatus |
ENSANAG00000025042 | NANOS3 | 65 | 39.655 | ENSCVAG00000006947 | nanos2 | 77 | 42.342 | Cyprinodon_variegatus |
ENSANAG00000025042 | NANOS3 | 72 | 41.429 | ENSDARG00000068255 | nanos3 | 86 | 39.706 | Danio_rerio |
ENSANAG00000025042 | NANOS3 | 65 | 41.322 | ENSDARG00000116802 | nanos2 | 83 | 41.322 | Danio_rerio |
ENSANAG00000025042 | NANOS3 | 78 | 45.070 | ENSDNOG00000044718 | NANOS2 | 97 | 46.715 | Dasypus_novemcinctus |
ENSANAG00000025042 | NANOS3 | 83 | 80.851 | ENSEASG00005015313 | NANOS3 | 92 | 79.355 | Equus_asinus_asinus |
ENSANAG00000025042 | NANOS3 | 78 | 46.099 | ENSEASG00005014235 | NANOS2 | 96 | 49.630 | Equus_asinus_asinus |
ENSANAG00000025042 | NANOS3 | 86 | 80.137 | ENSECAG00000016293 | NANOS3 | 95 | 76.023 | Equus_caballus |
ENSANAG00000025042 | NANOS3 | 78 | 46.099 | ENSECAG00000006033 | NANOS2 | 96 | 49.630 | Equus_caballus |
ENSANAG00000025042 | NANOS3 | 89 | 68.000 | ENSEEUG00000009900 | NANOS3 | 98 | 68.263 | Erinaceus_europaeus |
ENSANAG00000025042 | NANOS3 | 77 | 50.725 | ENSEEUG00000009930 | NANOS2 | 97 | 50.725 | Erinaceus_europaeus |
ENSANAG00000025042 | NANOS3 | 70 | 40.690 | ENSELUG00000016582 | - | 81 | 39.310 | Esox_lucius |
ENSANAG00000025042 | NANOS3 | 70 | 42.466 | ENSELUG00000016082 | nanos3 | 87 | 38.621 | Esox_lucius |
ENSANAG00000025042 | NANOS3 | 64 | 42.373 | ENSELUG00000019091 | - | 76 | 43.243 | Esox_lucius |
ENSANAG00000025042 | NANOS3 | 78 | 46.099 | ENSFCAG00000027661 | NANOS2 | 96 | 46.809 | Felis_catus |
ENSANAG00000025042 | NANOS3 | 82 | 67.347 | ENSFCAG00000003717 | NANOS3 | 90 | 69.333 | Felis_catus |
ENSANAG00000025042 | NANOS3 | 85 | 76.774 | ENSFDAG00000018459 | NANOS3 | 95 | 70.520 | Fukomys_damarensis |
ENSANAG00000025042 | NANOS3 | 77 | 49.635 | ENSFDAG00000016342 | NANOS2 | 95 | 48.175 | Fukomys_damarensis |
ENSANAG00000025042 | NANOS3 | 71 | 39.865 | ENSFHEG00000017084 | - | 83 | 41.216 | Fundulus_heteroclitus |
ENSANAG00000025042 | NANOS3 | 69 | 41.860 | ENSFHEG00000012835 | NANOS2 | 85 | 43.750 | Fundulus_heteroclitus |
ENSANAG00000025042 | NANOS3 | 66 | 38.136 | ENSGMOG00000015980 | - | 96 | 38.596 | Gadus_morhua |
ENSANAG00000025042 | NANOS3 | 71 | 42.373 | ENSGMOG00000016541 | nanos3 | 68 | 62.319 | Gadus_morhua |
ENSANAG00000025042 | NANOS3 | 64 | 39.130 | ENSGAFG00000006000 | - | 66 | 41.667 | Gambusia_affinis |
ENSANAG00000025042 | NANOS3 | 66 | 34.532 | ENSGAFG00000017593 | NANOS1 | 80 | 33.333 | Gambusia_affinis |
ENSANAG00000025042 | NANOS3 | 66 | 38.655 | ENSGACG00000004930 | - | 97 | 40.000 | Gasterosteus_aculeatus |
ENSANAG00000025042 | NANOS3 | 74 | 43.571 | ENSGACG00000019003 | nanos3 | 89 | 44.286 | Gasterosteus_aculeatus |
ENSANAG00000025042 | NANOS3 | 80 | 49.655 | ENSGAGG00000005591 | - | 77 | 51.449 | Gopherus_agassizii |
ENSANAG00000025042 | NANOS3 | 84 | 41.259 | ENSGAGG00000009500 | NANOS2 | 86 | 41.259 | Gopherus_agassizii |
ENSANAG00000025042 | NANOS3 | 84 | 81.437 | ENSGGOG00000000964 | NANOS3 | 99 | 72.449 | Gorilla_gorilla |
ENSANAG00000025042 | NANOS3 | 78 | 46.763 | ENSGGOG00000013447 | NANOS2 | 96 | 44.286 | Gorilla_gorilla |
ENSANAG00000025042 | NANOS3 | 65 | 32.308 | ENSHBUG00000016772 | nanos2 | 78 | 33.846 | Haplochromis_burtoni |
ENSANAG00000025042 | NANOS3 | 66 | 34.932 | ENSHBUG00000019798 | - | 79 | 33.562 | Haplochromis_burtoni |
ENSANAG00000025042 | NANOS3 | 99 | 67.876 | ENSHGLG00000019378 | NANOS3 | 88 | 73.373 | Heterocephalus_glaber_female |
ENSANAG00000025042 | NANOS3 | 99 | 67.876 | ENSHGLG00100012652 | NANOS3 | 88 | 73.373 | Heterocephalus_glaber_male |
ENSANAG00000025042 | NANOS3 | 72 | 38.571 | ENSHCOG00000014790 | nanos3 | 80 | 38.571 | Hippocampus_comes |
ENSANAG00000025042 | NANOS3 | 67 | 30.864 | ENSHCOG00000011423 | - | 80 | 31.481 | Hippocampus_comes |
ENSANAG00000025042 | NANOS3 | 67 | 34.641 | ENSHCOG00000010326 | NANOS1 | 80 | 35.294 | Hippocampus_comes |
ENSANAG00000025042 | NANOS3 | 73 | 40.000 | ENSIPUG00000024113 | nanos2 | 86 | 40.714 | Ictalurus_punctatus |
ENSANAG00000025042 | NANOS3 | 68 | 44.531 | ENSIPUG00000012246 | - | 70 | 44.531 | Ictalurus_punctatus |
ENSANAG00000025042 | NANOS3 | 75 | 42.568 | ENSIPUG00000007200 | - | 86 | 41.429 | Ictalurus_punctatus |
ENSANAG00000025042 | NANOS3 | 73 | 40.244 | ENSIPUG00000008857 | nanos3 | 88 | 41.104 | Ictalurus_punctatus |
ENSANAG00000025042 | NANOS3 | 76 | 48.485 | ENSSTOG00000021724 | NANOS2 | 96 | 48.485 | Ictidomys_tridecemlineatus |
ENSANAG00000025042 | NANOS3 | 83 | 82.394 | ENSSTOG00000024797 | NANOS3 | 88 | 78.616 | Ictidomys_tridecemlineatus |
ENSANAG00000025042 | NANOS3 | 99 | 65.241 | ENSJJAG00000000545 | Nanos3 | 97 | 67.816 | Jaculus_jaculus |
ENSANAG00000025042 | NANOS3 | 64 | 42.742 | ENSLBEG00000018836 | nanos2 | 81 | 42.742 | Labrus_bergylta |
ENSANAG00000025042 | NANOS3 | 74 | 35.625 | ENSLACG00000014980 | - | 89 | 35.625 | Latimeria_chalumnae |
ENSANAG00000025042 | NANOS3 | 76 | 46.043 | ENSLACG00000013286 | NANOS3 | 92 | 44.444 | Latimeria_chalumnae |
ENSANAG00000025042 | NANOS3 | 97 | 73.410 | ENSLAFG00000008480 | NANOS3 | 91 | 76.829 | Loxodonta_africana |
ENSANAG00000025042 | NANOS3 | 78 | 46.528 | ENSLAFG00000014090 | NANOS2 | 96 | 45.985 | Loxodonta_africana |
ENSANAG00000025042 | NANOS3 | 84 | 84.472 | ENSMFAG00000040009 | NANOS3 | 99 | 74.346 | Macaca_fascicularis |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSMFAG00000017215 | NANOS2 | 96 | 46.528 | Macaca_fascicularis |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSMMUG00000008103 | NANOS2 | 96 | 46.528 | Macaca_mulatta |
ENSANAG00000025042 | NANOS3 | 84 | 83.951 | ENSMMUG00000008316 | NANOS3 | 99 | 74.479 | Macaca_mulatta |
ENSANAG00000025042 | NANOS3 | 84 | 84.472 | ENSMNEG00000028898 | NANOS3 | 99 | 74.737 | Macaca_nemestrina |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSMNEG00000004633 | NANOS2 | 96 | 46.528 | Macaca_nemestrina |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSMLEG00000001810 | NANOS2 | 96 | 46.528 | Mandrillus_leucophaeus |
ENSANAG00000025042 | NANOS3 | 83 | 89.583 | ENSMLEG00000033135 | NANOS3 | 91 | 85.714 | Mandrillus_leucophaeus |
ENSANAG00000025042 | NANOS3 | 66 | 35.570 | ENSMAMG00000015477 | - | 81 | 34.228 | Mastacembelus_armatus |
ENSANAG00000025042 | NANOS3 | 66 | 39.669 | ENSMAMG00000005577 | NANOS2 | 78 | 39.669 | Mastacembelus_armatus |
ENSANAG00000025042 | NANOS3 | 65 | 31.538 | ENSMZEG00005003043 | - | 78 | 33.077 | Maylandia_zebra |
ENSANAG00000025042 | NANOS3 | 65 | 31.538 | ENSMZEG00005028154 | - | 78 | 33.077 | Maylandia_zebra |
ENSANAG00000025042 | NANOS3 | 65 | 30.769 | ENSMZEG00005024641 | - | 78 | 32.308 | Maylandia_zebra |
ENSANAG00000025042 | NANOS3 | 66 | 34.932 | ENSMZEG00005002722 | - | 79 | 33.562 | Maylandia_zebra |
ENSANAG00000025042 | NANOS3 | 65 | 34.615 | ENSMZEG00005021987 | - | 78 | 33.846 | Maylandia_zebra |
ENSANAG00000025042 | NANOS3 | 65 | 30.769 | ENSMZEG00005028148 | - | 78 | 32.308 | Maylandia_zebra |
ENSANAG00000025042 | NANOS3 | 99 | 71.429 | ENSMAUG00000008396 | Nanos3 | 94 | 71.429 | Mesocricetus_auratus |
ENSANAG00000025042 | NANOS3 | 86 | 84.247 | ENSMICG00000030950 | NANOS3 | 91 | 81.646 | Microcebus_murinus |
ENSANAG00000025042 | NANOS3 | 76 | 45.385 | ENSMOCG00000001985 | Nanos2 | 96 | 45.385 | Microtus_ochrogaster |
ENSANAG00000025042 | NANOS3 | 89 | 76.821 | ENSMOCG00000000059 | Nanos3 | 97 | 72.093 | Microtus_ochrogaster |
ENSANAG00000025042 | NANOS3 | 66 | 34.247 | ENSMMOG00000003796 | - | 79 | 34.932 | Mola_mola |
ENSANAG00000025042 | NANOS3 | 69 | 35.714 | ENSMMOG00000009827 | nanos2 | 80 | 36.667 | Mola_mola |
ENSANAG00000025042 | NANOS3 | 78 | 57.554 | ENSMODG00000023964 | - | 96 | 59.542 | Monodelphis_domestica |
ENSANAG00000025042 | NANOS3 | 64 | 39.252 | ENSMALG00000006299 | nanos2 | 71 | 39.252 | Monopterus_albus |
ENSANAG00000025042 | NANOS3 | 73 | 45.652 | ENSMALG00000005945 | nanos3 | 84 | 43.796 | Monopterus_albus |
ENSANAG00000025042 | NANOS3 | 70 | 46.610 | ENSMALG00000011545 | - | 66 | 46.610 | Monopterus_albus |
ENSANAG00000025042 | NANOS3 | 93 | 73.585 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 89 | 73.585 | Mus_caroli |
ENSANAG00000025042 | NANOS3 | 76 | 46.212 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 46.212 | Mus_caroli |
ENSANAG00000025042 | NANOS3 | 76 | 45.455 | ENSMUSG00000051965 | Nanos2 | 96 | 45.455 | Mus_musculus |
ENSANAG00000025042 | NANOS3 | 93 | 74.214 | ENSMUSG00000056155 | Nanos3 | 87 | 76.821 | Mus_musculus |
ENSANAG00000025042 | NANOS3 | 76 | 45.455 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 45.455 | Mus_pahari |
ENSANAG00000025042 | NANOS3 | 93 | 73.585 | MGP_PahariEiJ_G0022902 | Nanos3 | 89 | 73.585 | Mus_pahari |
ENSANAG00000025042 | NANOS3 | 76 | 45.455 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 45.455 | Mus_spretus |
ENSANAG00000025042 | NANOS3 | 93 | 74.214 | MGP_SPRETEiJ_G0032414 | Nanos3 | 89 | 74.214 | Mus_spretus |
ENSANAG00000025042 | NANOS3 | 83 | 82.979 | ENSMPUG00000003282 | NANOS3 | 95 | 77.515 | Mustela_putorius_furo |
ENSANAG00000025042 | NANOS3 | 78 | 46.099 | ENSMPUG00000019371 | NANOS2 | 96 | 45.775 | Mustela_putorius_furo |
ENSANAG00000025042 | NANOS3 | 86 | 82.877 | ENSMLUG00000012971 | NANOS3 | 90 | 80.380 | Myotis_lucifugus |
ENSANAG00000025042 | NANOS3 | 93 | 73.006 | ENSNGAG00000020486 | Nanos3 | 91 | 73.006 | Nannospalax_galili |
ENSANAG00000025042 | NANOS3 | 75 | 34.132 | ENSNGAG00000023539 | Nanos1 | 80 | 34.503 | Nannospalax_galili |
ENSANAG00000025042 | NANOS3 | 76 | 33.858 | ENSNBRG00000018838 | NANOS2 | 84 | 33.858 | Neolamprologus_brichardi |
ENSANAG00000025042 | NANOS3 | 66 | 34.932 | ENSNBRG00000014018 | - | 79 | 33.562 | Neolamprologus_brichardi |
ENSANAG00000025042 | NANOS3 | 83 | 90.141 | ENSNLEG00000034574 | NANOS3 | 99 | 81.977 | Nomascus_leucogenys |
ENSANAG00000025042 | NANOS3 | 84 | 72.671 | ENSOPRG00000007211 | - | 97 | 65.285 | Ochotona_princeps |
ENSANAG00000025042 | NANOS3 | 78 | 45.324 | ENSOPRG00000010043 | NANOS2 | 96 | 48.201 | Ochotona_princeps |
ENSANAG00000025042 | NANOS3 | 100 | 67.539 | ENSODEG00000008907 | NANOS3 | 90 | 77.439 | Octodon_degus |
ENSANAG00000025042 | NANOS3 | 72 | 32.168 | ENSONIG00000005777 | nanos2 | 86 | 33.566 | Oreochromis_niloticus |
ENSANAG00000025042 | NANOS3 | 75 | 55.147 | ENSOANG00000013042 | - | 96 | 55.147 | Ornithorhynchus_anatinus |
ENSANAG00000025042 | NANOS3 | 78 | 45.714 | ENSOCUG00000023755 | NANOS2 | 96 | 47.143 | Oryctolagus_cuniculus |
ENSANAG00000025042 | NANOS3 | 92 | 70.175 | ENSOCUG00000014802 | NANOS3 | 91 | 71.605 | Oryctolagus_cuniculus |
ENSANAG00000025042 | NANOS3 | 64 | 37.302 | ENSORLG00000009335 | nanos2 | 76 | 38.136 | Oryzias_latipes |
ENSANAG00000025042 | NANOS3 | 66 | 31.646 | ENSORLG00000027849 | nanos1a | 83 | 32.278 | Oryzias_latipes |
ENSANAG00000025042 | NANOS3 | 66 | 31.013 | ENSORLG00020008713 | - | 83 | 31.646 | Oryzias_latipes_hni |
ENSANAG00000025042 | NANOS3 | 64 | 38.095 | ENSORLG00020013284 | nanos2 | 76 | 39.669 | Oryzias_latipes_hni |
ENSANAG00000025042 | NANOS3 | 66 | 31.646 | ENSORLG00015000175 | - | 83 | 32.680 | Oryzias_latipes_hsok |
ENSANAG00000025042 | NANOS3 | 64 | 38.095 | ENSORLG00015013150 | nanos2 | 76 | 38.136 | Oryzias_latipes_hsok |
ENSANAG00000025042 | NANOS3 | 63 | 39.831 | ENSOMEG00000006512 | nanos2 | 79 | 38.983 | Oryzias_melastigma |
ENSANAG00000025042 | NANOS3 | 66 | 33.121 | ENSOMEG00000008866 | NANOS1 | 84 | 32.692 | Oryzias_melastigma |
ENSANAG00000025042 | NANOS3 | 78 | 46.099 | ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | Otolemur_garnettii |
ENSANAG00000025042 | NANOS3 | 96 | 77.966 | ENSOGAG00000007190 | NANOS3 | 90 | 84.177 | Otolemur_garnettii |
ENSANAG00000025042 | NANOS3 | 83 | 80.851 | ENSOARG00000008043 | NANOS3 | 87 | 77.160 | Ovis_aries |
ENSANAG00000025042 | NANOS3 | 78 | 45.455 | ENSOARG00000011467 | NANOS2 | 96 | 47.015 | Ovis_aries |
ENSANAG00000025042 | NANOS3 | 83 | 90.845 | ENSPPAG00000032168 | NANOS3 | 99 | 83.041 | Pan_paniscus |
ENSANAG00000025042 | NANOS3 | 78 | 48.276 | ENSPPAG00000020568 | NANOS2 | 96 | 45.833 | Pan_paniscus |
ENSANAG00000025042 | NANOS3 | 78 | 46.099 | ENSPPRG00000015211 | NANOS2 | 96 | 47.761 | Panthera_pardus |
ENSANAG00000025042 | NANOS3 | 87 | 76.129 | ENSPPRG00000009573 | NANOS3 | 91 | 77.848 | Panthera_pardus |
ENSANAG00000025042 | NANOS3 | 87 | 76.129 | ENSPTIG00000000325 | NANOS3 | 91 | 77.848 | Panthera_tigris_altaica |
ENSANAG00000025042 | NANOS3 | 70 | 45.669 | ENSPTIG00000015372 | NANOS2 | 86 | 47.500 | Panthera_tigris_altaica |
ENSANAG00000025042 | NANOS3 | 84 | 85.093 | ENSPTRG00000010568 | NANOS3 | 99 | 74.737 | Pan_troglodytes |
ENSANAG00000025042 | NANOS3 | 78 | 48.276 | ENSPTRG00000011172 | NANOS2 | 96 | 45.833 | Pan_troglodytes |
ENSANAG00000025042 | NANOS3 | 84 | 84.472 | ENSPANG00000015037 | NANOS3 | 95 | 75.532 | Papio_anubis |
ENSANAG00000025042 | NANOS3 | 78 | 47.482 | ENSPANG00000009327 | NANOS2 | 96 | 45.522 | Papio_anubis |
ENSANAG00000025042 | NANOS3 | 74 | 46.617 | ENSPKIG00000006905 | - | 64 | 46.617 | Paramormyrops_kingsleyae |
ENSANAG00000025042 | NANOS3 | 73 | 38.562 | ENSPKIG00000009354 | nanos3 | 77 | 39.073 | Paramormyrops_kingsleyae |
ENSANAG00000025042 | NANOS3 | 65 | 36.719 | ENSPKIG00000006934 | - | 83 | 36.220 | Paramormyrops_kingsleyae |
ENSANAG00000025042 | NANOS3 | 73 | 43.902 | ENSPSIG00000007082 | NANOS2 | 92 | 43.902 | Pelodiscus_sinensis |
ENSANAG00000025042 | NANOS3 | 65 | 40.984 | ENSPMGG00000023681 | nanos2 | 70 | 42.017 | Periophthalmus_magnuspinnatus |
ENSANAG00000025042 | NANOS3 | 78 | 45.070 | ENSPEMG00000014999 | Nanos2 | 96 | 45.113 | Peromyscus_maniculatus_bairdii |
ENSANAG00000025042 | NANOS3 | 62 | 31.298 | ENSPFOG00000020721 | NANOS2 | 82 | 33.582 | Poecilia_formosa |
ENSANAG00000025042 | NANOS3 | 63 | 43.119 | ENSPLAG00000007786 | NANOS2 | 83 | 43.119 | Poecilia_latipinna |
ENSANAG00000025042 | NANOS3 | 64 | 42.342 | ENSPMEG00000005681 | NANOS2 | 82 | 42.342 | Poecilia_mexicana |
ENSANAG00000025042 | NANOS3 | 63 | 42.453 | ENSPREG00000020465 | nanos2 | 83 | 42.453 | Poecilia_reticulata |
ENSANAG00000025042 | NANOS3 | 65 | 35.345 | ENSPREG00000007213 | NANOS1 | 50 | 35.345 | Poecilia_reticulata |
ENSANAG00000025042 | NANOS3 | 84 | 82.635 | ENSPPYG00000009627 | NANOS3 | 92 | 76.087 | Pongo_abelii |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSPPYG00000010138 | NANOS2 | 96 | 45.833 | Pongo_abelii |
ENSANAG00000025042 | NANOS3 | 76 | 47.015 | ENSPCAG00000005087 | NANOS2 | 96 | 47.015 | Procavia_capensis |
ENSANAG00000025042 | NANOS3 | 86 | 83.673 | ENSPCOG00000018814 | NANOS3 | 87 | 83.444 | Propithecus_coquereli |
ENSANAG00000025042 | NANOS3 | 86 | 81.081 | ENSPVAG00000017538 | NANOS3 | 91 | 79.245 | Pteropus_vampyrus |
ENSANAG00000025042 | NANOS3 | 78 | 47.143 | ENSPVAG00000001363 | NANOS2 | 96 | 46.939 | Pteropus_vampyrus |
ENSANAG00000025042 | NANOS3 | 62 | 37.500 | ENSPNYG00000004545 | NANOS2 | 77 | 37.500 | Pundamilia_nyererei |
ENSANAG00000025042 | NANOS3 | 66 | 34.932 | ENSPNYG00000001325 | - | 79 | 33.562 | Pundamilia_nyererei |
ENSANAG00000025042 | NANOS3 | 77 | 42.029 | ENSPNAG00000002259 | nanos3 | 79 | 43.750 | Pygocentrus_nattereri |
ENSANAG00000025042 | NANOS3 | 93 | 74.214 | ENSRNOG00000031593 | Nanos3 | 89 | 74.214 | Rattus_norvegicus |
ENSANAG00000025042 | NANOS3 | 78 | 42.857 | ENSRNOG00000038088 | Nanos2 | 96 | 44.697 | Rattus_norvegicus |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSRBIG00000023726 | NANOS2 | 96 | 45.833 | Rhinopithecus_bieti |
ENSANAG00000025042 | NANOS3 | 84 | 82.716 | ENSRBIG00000037377 | NANOS3 | 99 | 74.603 | Rhinopithecus_bieti |
ENSANAG00000025042 | NANOS3 | 78 | 48.201 | ENSRROG00000014903 | NANOS2 | 96 | 46.269 | Rhinopithecus_roxellana |
ENSANAG00000025042 | NANOS3 | 84 | 85.185 | ENSRROG00000032642 | NANOS3 | 99 | 74.737 | Rhinopithecus_roxellana |
ENSANAG00000025042 | NANOS3 | 84 | 92.667 | ENSSBOG00000020970 | NANOS3 | 82 | 92.667 | Saimiri_boliviensis_boliviensis |
ENSANAG00000025042 | NANOS3 | 76 | 47.692 | ENSSHAG00000017034 | NANOS2 | 96 | 47.692 | Sarcophilus_harrisii |
ENSANAG00000025042 | NANOS3 | 76 | 60.769 | ENSSHAG00000012099 | - | 96 | 60.769 | Sarcophilus_harrisii |
ENSANAG00000025042 | NANOS3 | 76 | 62.308 | ENSSHAG00000010756 | - | 96 | 62.308 | Sarcophilus_harrisii |
ENSANAG00000025042 | NANOS3 | 73 | 45.205 | ENSSFOG00015013452 | nanos3 | 95 | 44.828 | Scleropages_formosus |
ENSANAG00000025042 | NANOS3 | 62 | 38.462 | ENSSFOG00015007586 | - | 75 | 38.462 | Scleropages_formosus |
ENSANAG00000025042 | NANOS3 | 65 | 35.385 | ENSSMAG00000013915 | nanos2 | 78 | 35.338 | Scophthalmus_maximus |
ENSANAG00000025042 | NANOS3 | 64 | 40.625 | ENSSDUG00000016576 | nanos2 | 78 | 39.062 | Seriola_dumerili |
ENSANAG00000025042 | NANOS3 | 66 | 35.570 | ENSSDUG00000007879 | - | 82 | 34.228 | Seriola_dumerili |
ENSANAG00000025042 | NANOS3 | 66 | 35.570 | ENSSLDG00000021260 | - | 83 | 34.228 | Seriola_lalandi_dorsalis |
ENSANAG00000025042 | NANOS3 | 64 | 39.552 | ENSSLDG00000013795 | nanos2 | 78 | 40.310 | Seriola_lalandi_dorsalis |
ENSANAG00000025042 | NANOS3 | 99 | 74.405 | ENSSARG00000008966 | NANOS3 | 92 | 74.405 | Sorex_araneus |
ENSANAG00000025042 | NANOS3 | 78 | 41.135 | ENSSPUG00000002566 | NANOS2 | 92 | 42.963 | Sphenodon_punctatus |
ENSANAG00000025042 | NANOS3 | 77 | 55.039 | ENSSPUG00000009826 | NANOS3 | 68 | 55.039 | Sphenodon_punctatus |
ENSANAG00000025042 | NANOS3 | 64 | 38.400 | ENSSPAG00000003887 | nanos2 | 81 | 39.683 | Stegastes_partitus |
ENSANAG00000025042 | NANOS3 | 78 | 47.518 | ENSSSCG00000003096 | NANOS2 | 96 | 48.551 | Sus_scrofa |
ENSANAG00000025042 | NANOS3 | 83 | 82.979 | ENSSSCG00000013759 | NANOS3 | 95 | 78.659 | Sus_scrofa |
ENSANAG00000025042 | NANOS3 | 63 | 41.509 | ENSTRUG00000017633 | nanos2 | 82 | 41.509 | Takifugu_rubripes |
ENSANAG00000025042 | NANOS3 | 70 | 45.926 | ENSTNIG00000014063 | nanos3 | 91 | 47.287 | Tetraodon_nigroviridis |
ENSANAG00000025042 | NANOS3 | 66 | 38.525 | ENSTNIG00000010543 | - | 87 | 41.379 | Tetraodon_nigroviridis |
ENSANAG00000025042 | NANOS3 | 89 | 84.768 | ENSTBEG00000013729 | NANOS3 | 99 | 84.768 | Tupaia_belangeri |
ENSANAG00000025042 | NANOS3 | 76 | 47.761 | ENSTTRG00000014315 | NANOS2 | 96 | 47.015 | Tursiops_truncatus |
ENSANAG00000025042 | NANOS3 | 99 | 74.719 | ENSTTRG00000008361 | NANOS3 | 92 | 79.355 | Tursiops_truncatus |
ENSANAG00000025042 | NANOS3 | 84 | 78.000 | ENSUAMG00000006804 | NANOS3 | 91 | 77.848 | Ursus_americanus |
ENSANAG00000025042 | NANOS3 | 78 | 45.390 | ENSUAMG00000023170 | NANOS2 | 96 | 49.254 | Ursus_americanus |
ENSANAG00000025042 | NANOS3 | 81 | 40.141 | ENSUMAG00000023699 | NANOS2 | 90 | 42.254 | Ursus_maritimus |
ENSANAG00000025042 | NANOS3 | 84 | 78.000 | ENSUMAG00000004703 | NANOS3 | 89 | 77.358 | Ursus_maritimus |
ENSANAG00000025042 | NANOS3 | 99 | 77.095 | ENSVPAG00000011497 | NANOS3 | 88 | 83.333 | Vicugna_pacos |
ENSANAG00000025042 | NANOS3 | 84 | 77.333 | ENSVVUG00000026757 | NANOS3 | 90 | 81.169 | Vulpes_vulpes |
ENSANAG00000025042 | NANOS3 | 77 | 48.889 | ENSVVUG00000002993 | NANOS2 | 97 | 48.889 | Vulpes_vulpes |
ENSANAG00000025042 | NANOS3 | 77 | 39.416 | ENSXETG00000014552 | NANOS2 | 96 | 39.416 | Xenopus_tropicalis |
ENSANAG00000025042 | NANOS3 | 65 | 44.068 | ENSXETG00000024565 | nanos1 | 84 | 45.045 | Xenopus_tropicalis |
ENSANAG00000025042 | NANOS3 | 80 | 50.336 | ENSXETG00000021874 | nanos3 | 100 | 47.973 | Xenopus_tropicalis |
ENSANAG00000025042 | NANOS3 | 65 | 36.641 | ENSXMAG00000020157 | - | 63 | 35.878 | Xiphophorus_maculatus |