Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSCATP00000022524 | zf-nanos | PF05741.13 | 7e-25 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSCATT00000046735 | NANOS3-201 | 591 | XM_012094100 | ENSCATP00000022524 | 196 (aa) | XP_011949490 | A0A2K5MBE8 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSCATG00000018951 | NANOS2 | 96 | 40.764 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSG00000188425 | NANOS2 | 96 | 41.558 | Homo_sapiens |
ENSCATG00000034885 | NANOS3 | 100 | 86.224 | ENSG00000187556 | NANOS3 | 100 | 86.224 | Homo_sapiens |
ENSCATG00000034885 | NANOS3 | 57 | 49.167 | ENSAPOG00000009762 | nanos3 | 52 | 50.450 | Acanthochromis_polyacanthus |
ENSCATG00000034885 | NANOS3 | 66 | 43.077 | ENSAPOG00000020274 | nanos2 | 77 | 41.085 | Acanthochromis_polyacanthus |
ENSCATG00000034885 | NANOS3 | 93 | 71.585 | ENSAMEG00000012972 | NANOS3 | 81 | 72.561 | Ailuropoda_melanoleuca |
ENSCATG00000034885 | NANOS3 | 66 | 34.848 | ENSACIG00000007105 | nanos2 | 67 | 34.091 | Amphilophus_citrinellus |
ENSCATG00000034885 | NANOS3 | 66 | 36.923 | ENSAOCG00000009429 | nanos2 | 75 | 37.984 | Amphiprion_ocellaris |
ENSCATG00000034885 | NANOS3 | 66 | 37.209 | ENSAPEG00000019139 | nanos2 | 76 | 38.760 | Amphiprion_percula |
ENSCATG00000034885 | NANOS3 | 66 | 38.849 | ENSATEG00000009393 | nanos2 | 76 | 37.226 | Anabas_testudineus |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000028048 | - | 97 | 40.260 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 38.710 | ENSACAG00000025556 | - | 95 | 39.355 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.216 | ENSACAG00000022088 | - | 95 | 39.241 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000025260 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 38.562 | ENSACAG00000026334 | - | 95 | 37.975 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000010268 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.216 | ENSACAG00000024003 | - | 97 | 39.610 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000022790 | - | 97 | 38.312 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000026317 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000026679 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000022041 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000027568 | - | 96 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000025093 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000023855 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024972 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000026478 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000026660 | - | 96 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000022861 | - | 97 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024274 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.216 | ENSACAG00000024434 | - | 95 | 38.608 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000027212 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000026771 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000023823 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000023519 | - | 95 | 39.216 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024524 | - | 96 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000025655 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000026757 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000026350 | - | 96 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000023803 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000024995 | - | 95 | 37.975 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000022321 | - | 97 | 40.260 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024504 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000024432 | - | 97 | 39.216 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000027196 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 38.562 | ENSACAG00000023813 | - | 97 | 37.908 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024639 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000025632 | - | 97 | 40.260 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000023391 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000026819 | - | 95 | 39.869 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000022207 | - | 97 | 39.869 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000017474 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024568 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000025452 | - | 96 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000023428 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.216 | ENSACAG00000027983 | - | 95 | 39.241 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 38.562 | ENSACAG00000022236 | - | 95 | 38.608 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000023650 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000027728 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000005197 | - | 96 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000027995 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.216 | ENSACAG00000025729 | - | 95 | 38.608 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000027440 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 38.562 | ENSACAG00000026716 | - | 95 | 38.608 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000025307 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024364 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000014502 | - | 97 | 40.260 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000027265 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 39.869 | ENSACAG00000024218 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000025505 | - | 97 | 37.255 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 37.908 | ENSACAG00000022918 | - | 95 | 38.217 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000022675 | - | 95 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSACAG00000024370 | - | 97 | 38.854 | Anolis_carolinensis |
ENSCATG00000034885 | NANOS3 | 99 | 73.196 | ENSANAG00000025042 | NANOS3 | 84 | 81.707 | Aotus_nancymaae |
ENSCATG00000034885 | NANOS3 | 67 | 32.877 | ENSACLG00000013474 | - | 79 | 32.877 | Astatotilapia_calliptera |
ENSCATG00000034885 | NANOS3 | 56 | 48.739 | ENSACLG00000020332 | nanos3 | 50 | 49.550 | Astatotilapia_calliptera |
ENSCATG00000034885 | NANOS3 | 68 | 34.395 | ENSAMXG00000030027 | NANOS1 | 83 | 33.987 | Astyanax_mexicanus |
ENSCATG00000034885 | NANOS3 | 68 | 34.615 | ENSAMXG00000043091 | nanos1 | 83 | 34.211 | Astyanax_mexicanus |
ENSCATG00000034885 | NANOS3 | 98 | 69.430 | ENSBTAG00000000399 | NANOS3 | 82 | 74.390 | Bos_taurus |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSBTAG00000047505 | NANOS2 | 96 | 39.490 | Bos_taurus |
ENSCATG00000034885 | NANOS3 | 84 | 77.576 | ENSCJAG00000004388 | NANOS3 | 84 | 80.606 | Callithrix_jacchus |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSCJAG00000012141 | NANOS2 | 94 | 40.764 | Callithrix_jacchus |
ENSCATG00000034885 | NANOS3 | 79 | 44.231 | ENSCAFG00000024541 | NANOS2 | 97 | 40.625 | Canis_familiaris |
ENSCATG00000034885 | NANOS3 | 84 | 69.697 | ENSCAFG00000016592 | NANOS3 | 74 | 72.121 | Canis_familiaris |
ENSCATG00000034885 | NANOS3 | 79 | 44.231 | ENSCAFG00020001772 | NANOS2 | 97 | 40.625 | Canis_lupus_dingo |
ENSCATG00000034885 | NANOS3 | 84 | 69.697 | ENSCAFG00020006694 | NANOS3 | 74 | 72.121 | Canis_lupus_dingo |
ENSCATG00000034885 | NANOS3 | 84 | 73.333 | ENSCHIG00000007837 | NANOS3 | 81 | 72.121 | Capra_hircus |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSCHIG00000012637 | NANOS2 | 96 | 39.490 | Capra_hircus |
ENSCATG00000034885 | NANOS3 | 84 | 71.951 | ENSTSYG00000026709 | NANOS3 | 81 | 71.341 | Carlito_syrichta |
ENSCATG00000034885 | NANOS3 | 77 | 42.000 | ENSCAPG00000016771 | NANOS2 | 94 | 42.000 | Cavia_aperea |
ENSCATG00000034885 | NANOS3 | 86 | 70.414 | ENSCAPG00000014339 | NANOS3 | 90 | 70.732 | Cavia_aperea |
ENSCATG00000034885 | NANOS3 | 77 | 42.000 | ENSCPOG00000014969 | NANOS2 | 94 | 42.000 | Cavia_porcellus |
ENSCATG00000034885 | NANOS3 | 98 | 67.526 | ENSCPOG00000020727 | NANOS3 | 81 | 71.341 | Cavia_porcellus |
ENSCATG00000034885 | NANOS3 | 93 | 75.956 | ENSCCAG00000036253 | NANOS3 | 82 | 80.000 | Cebus_capucinus |
ENSCATG00000034885 | NANOS3 | 98 | 66.667 | ENSCLAG00000015139 | NANOS3 | 80 | 69.697 | Chinchilla_lanigera |
ENSCATG00000034885 | NANOS3 | 77 | 43.421 | ENSCLAG00000001832 | NANOS2 | 95 | 42.857 | Chinchilla_lanigera |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSCSAG00000019629 | NANOS2 | 96 | 38.854 | Chlorocebus_sabaeus |
ENSCATG00000034885 | NANOS3 | 100 | 94.030 | ENSCSAG00000006428 | NANOS3 | 85 | 92.353 | Chlorocebus_sabaeus |
ENSCATG00000034885 | NANOS3 | 79 | 40.909 | ENSCHOG00000001937 | NANOS2 | 97 | 40.506 | Choloepus_hoffmanni |
ENSCATG00000034885 | NANOS3 | 78 | 39.490 | ENSCPBG00000007141 | NANOS2 | 84 | 39.474 | Chrysemys_picta_bellii |
ENSCATG00000034885 | NANOS3 | 77 | 46.452 | ENSCPBG00000023819 | NANOS3 | 92 | 45.161 | Chrysemys_picta_bellii |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSCANG00000012014 | NANOS2 | 96 | 40.764 | Colobus_angolensis_palliatus |
ENSCATG00000034885 | NANOS3 | 84 | 94.545 | ENSCANG00000034930 | NANOS3 | 85 | 92.121 | Colobus_angolensis_palliatus |
ENSCATG00000034885 | NANOS3 | 78 | 41.176 | ENSCGRG00001013726 | Nanos2 | 96 | 37.908 | Cricetulus_griseus_chok1gshd |
ENSCATG00000034885 | NANOS3 | 96 | 67.196 | ENSCGRG00001023851 | Nanos3 | 81 | 69.512 | Cricetulus_griseus_chok1gshd |
ENSCATG00000034885 | NANOS3 | 96 | 67.358 | ENSCGRG00000017734 | Nanos3 | 79 | 69.512 | Cricetulus_griseus_crigri |
ENSCATG00000034885 | NANOS3 | 78 | 41.176 | ENSCGRG00000019170 | Nanos2 | 96 | 37.908 | Cricetulus_griseus_crigri |
ENSCATG00000034885 | NANOS3 | 67 | 39.695 | ENSCSEG00000017157 | nanos2 | 78 | 40.909 | Cynoglossus_semilaevis |
ENSCATG00000034885 | NANOS3 | 67 | 31.757 | ENSCVAG00000019077 | - | 77 | 31.757 | Cyprinodon_variegatus |
ENSCATG00000034885 | NANOS3 | 66 | 35.385 | ENSCVAG00000006947 | nanos2 | 77 | 37.594 | Cyprinodon_variegatus |
ENSCATG00000034885 | NANOS3 | 73 | 43.750 | ENSDARG00000068255 | nanos3 | 86 | 43.750 | Danio_rerio |
ENSCATG00000034885 | NANOS3 | 67 | 41.221 | ENSDARG00000116802 | nanos2 | 83 | 41.985 | Danio_rerio |
ENSCATG00000034885 | NANOS3 | 79 | 40.385 | ENSDNOG00000044718 | NANOS2 | 97 | 39.355 | Dasypus_novemcinctus |
ENSCATG00000034885 | NANOS3 | 84 | 72.727 | ENSEASG00005015313 | NANOS3 | 85 | 72.727 | Equus_asinus_asinus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSEASG00005014235 | NANOS2 | 96 | 42.675 | Equus_asinus_asinus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSECAG00000006033 | NANOS2 | 96 | 42.675 | Equus_caballus |
ENSCATG00000034885 | NANOS3 | 86 | 72.781 | ENSECAG00000016293 | NANOS3 | 81 | 72.727 | Equus_caballus |
ENSCATG00000034885 | NANOS3 | 79 | 47.403 | ENSEEUG00000009930 | NANOS2 | 97 | 45.513 | Erinaceus_europaeus |
ENSCATG00000034885 | NANOS3 | 88 | 68.156 | ENSEEUG00000009900 | NANOS3 | 94 | 66.471 | Erinaceus_europaeus |
ENSCATG00000034885 | NANOS3 | 71 | 42.466 | ENSELUG00000016082 | nanos3 | 87 | 42.759 | Esox_lucius |
ENSCATG00000034885 | NANOS3 | 66 | 38.168 | ENSELUG00000019091 | - | 76 | 37.405 | Esox_lucius |
ENSCATG00000034885 | NANOS3 | 71 | 42.857 | ENSELUG00000016582 | - | 81 | 40.278 | Esox_lucius |
ENSCATG00000034885 | NANOS3 | 82 | 61.491 | ENSFCAG00000003717 | NANOS3 | 79 | 63.057 | Felis_catus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSFCAG00000027661 | NANOS2 | 96 | 40.881 | Felis_catus |
ENSCATG00000034885 | NANOS3 | 77 | 38.961 | ENSFDAG00000016342 | NANOS2 | 95 | 41.722 | Fukomys_damarensis |
ENSCATG00000034885 | NANOS3 | 85 | 68.862 | ENSFDAG00000018459 | NANOS3 | 80 | 68.485 | Fukomys_damarensis |
ENSCATG00000034885 | NANOS3 | 72 | 37.162 | ENSFHEG00000017084 | - | 83 | 39.735 | Fundulus_heteroclitus |
ENSCATG00000034885 | NANOS3 | 72 | 36.364 | ENSFHEG00000012835 | NANOS2 | 85 | 33.088 | Fundulus_heteroclitus |
ENSCATG00000034885 | NANOS3 | 67 | 35.606 | ENSGMOG00000015980 | - | 96 | 35.606 | Gadus_morhua |
ENSCATG00000034885 | NANOS3 | 67 | 32.432 | ENSGAFG00000017593 | NANOS1 | 80 | 31.655 | Gambusia_affinis |
ENSCATG00000034885 | NANOS3 | 66 | 37.984 | ENSGAFG00000006000 | - | 66 | 37.209 | Gambusia_affinis |
ENSCATG00000034885 | NANOS3 | 68 | 37.313 | ENSGACG00000004930 | - | 97 | 35.821 | Gasterosteus_aculeatus |
ENSCATG00000034885 | NANOS3 | 74 | 40.816 | ENSGACG00000019003 | nanos3 | 89 | 38.462 | Gasterosteus_aculeatus |
ENSCATG00000034885 | NANOS3 | 85 | 36.686 | ENSGAGG00000009500 | NANOS2 | 76 | 37.584 | Gopherus_agassizii |
ENSCATG00000034885 | NANOS3 | 80 | 46.835 | ENSGAGG00000005591 | - | 77 | 46.835 | Gopherus_agassizii |
ENSCATG00000034885 | NANOS3 | 84 | 91.176 | ENSGGOG00000000964 | NANOS3 | 85 | 89.412 | Gorilla_gorilla |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSGGOG00000013447 | NANOS2 | 96 | 41.558 | Gorilla_gorilla |
ENSCATG00000034885 | NANOS3 | 66 | 33.846 | ENSHBUG00000016772 | nanos2 | 78 | 36.567 | Haplochromis_burtoni |
ENSCATG00000034885 | NANOS3 | 56 | 48.739 | ENSHBUG00000018730 | nanos3 | 50 | 49.550 | Haplochromis_burtoni |
ENSCATG00000034885 | NANOS3 | 67 | 31.788 | ENSHBUG00000019798 | - | 79 | 32.192 | Haplochromis_burtoni |
ENSCATG00000034885 | NANOS3 | 86 | 71.006 | ENSHGLG00000019378 | NANOS3 | 78 | 71.515 | Heterocephalus_glaber_female |
ENSCATG00000034885 | NANOS3 | 86 | 71.006 | ENSHGLG00100012652 | NANOS3 | 78 | 71.515 | Heterocephalus_glaber_male |
ENSCATG00000034885 | NANOS3 | 73 | 36.806 | ENSHCOG00000014790 | nanos3 | 80 | 38.889 | Hippocampus_comes |
ENSCATG00000034885 | NANOS3 | 68 | 30.435 | ENSHCOG00000011423 | - | 80 | 31.481 | Hippocampus_comes |
ENSCATG00000034885 | NANOS3 | 68 | 35.294 | ENSHCOG00000010326 | NANOS1 | 80 | 33.333 | Hippocampus_comes |
ENSCATG00000034885 | NANOS3 | 74 | 39.877 | ENSIPUG00000008857 | nanos3 | 88 | 40.491 | Ictalurus_punctatus |
ENSCATG00000034885 | NANOS3 | 74 | 40.667 | ENSIPUG00000024113 | nanos2 | 86 | 40.667 | Ictalurus_punctatus |
ENSCATG00000034885 | NANOS3 | 71 | 40.714 | ENSIPUG00000012246 | - | 70 | 38.158 | Ictalurus_punctatus |
ENSCATG00000034885 | NANOS3 | 76 | 41.611 | ENSIPUG00000007200 | - | 86 | 39.597 | Ictalurus_punctatus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSSTOG00000021724 | NANOS2 | 96 | 41.558 | Ictidomys_tridecemlineatus |
ENSCATG00000034885 | NANOS3 | 84 | 75.000 | ENSSTOG00000024797 | NANOS3 | 79 | 73.939 | Ictidomys_tridecemlineatus |
ENSCATG00000034885 | NANOS3 | 86 | 65.882 | ENSJJAG00000000545 | Nanos3 | 79 | 68.293 | Jaculus_jaculus |
ENSCATG00000034885 | NANOS3 | 66 | 39.695 | ENSLBEG00000018836 | nanos2 | 81 | 38.571 | Labrus_bergylta |
ENSCATG00000034885 | NANOS3 | 78 | 31.609 | ENSLBEG00000027516 | - | 93 | 31.034 | Labrus_bergylta |
ENSCATG00000034885 | NANOS3 | 77 | 43.333 | ENSLACG00000013286 | NANOS3 | 92 | 42.667 | Latimeria_chalumnae |
ENSCATG00000034885 | NANOS3 | 75 | 38.037 | ENSLACG00000014980 | - | 89 | 33.544 | Latimeria_chalumnae |
ENSCATG00000034885 | NANOS3 | 93 | 69.892 | ENSLAFG00000008480 | NANOS3 | 79 | 72.561 | Loxodonta_africana |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSLAFG00000014090 | NANOS2 | 96 | 40.764 | Loxodonta_africana |
ENSCATG00000034885 | NANOS3 | 100 | 96.939 | ENSMFAG00000040009 | NANOS3 | 84 | 93.939 | Macaca_fascicularis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSMFAG00000017215 | NANOS2 | 96 | 40.764 | Macaca_fascicularis |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSMMUG00000008103 | NANOS2 | 96 | 40.764 | Macaca_mulatta |
ENSCATG00000034885 | NANOS3 | 100 | 96.939 | ENSMMUG00000008316 | NANOS3 | 84 | 94.545 | Macaca_mulatta |
ENSCATG00000034885 | NANOS3 | 100 | 96.429 | ENSMNEG00000028898 | NANOS3 | 84 | 93.939 | Macaca_nemestrina |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSMNEG00000004633 | NANOS2 | 96 | 40.764 | Macaca_nemestrina |
ENSCATG00000034885 | NANOS3 | 100 | 98.985 | ENSMLEG00000033135 | NANOS3 | 100 | 98.985 | Mandrillus_leucophaeus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSMLEG00000001810 | NANOS2 | 96 | 40.764 | Mandrillus_leucophaeus |
ENSCATG00000034885 | NANOS3 | 67 | 33.548 | ENSMAMG00000015477 | - | 81 | 34.228 | Mastacembelus_armatus |
ENSCATG00000034885 | NANOS3 | 68 | 37.594 | ENSMAMG00000005577 | NANOS2 | 78 | 35.338 | Mastacembelus_armatus |
ENSCATG00000034885 | NANOS3 | 66 | 31.538 | ENSMZEG00005028148 | - | 78 | 34.328 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 66 | 32.308 | ENSMZEG00005028154 | - | 78 | 35.075 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 67 | 31.788 | ENSMZEG00005002722 | - | 79 | 32.192 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 66 | 32.308 | ENSMZEG00005003043 | - | 78 | 35.075 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 56 | 48.739 | ENSMZEG00005007690 | nanos3 | 50 | 49.550 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 66 | 31.538 | ENSMZEG00005024641 | - | 78 | 34.328 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 66 | 34.043 | ENSMZEG00005021987 | - | 78 | 38.636 | Maylandia_zebra |
ENSCATG00000034885 | NANOS3 | 98 | 64.249 | ENSMAUG00000008396 | Nanos3 | 79 | 68.293 | Mesocricetus_auratus |
ENSCATG00000034885 | NANOS3 | 86 | 75.740 | ENSMICG00000030950 | NANOS3 | 82 | 74.545 | Microcebus_murinus |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSMOCG00000001985 | Nanos2 | 96 | 37.662 | Microtus_ochrogaster |
ENSCATG00000034885 | NANOS3 | 87 | 70.175 | ENSMOCG00000000059 | Nanos3 | 80 | 70.122 | Microtus_ochrogaster |
ENSCATG00000034885 | NANOS3 | 70 | 36.232 | ENSMMOG00000009827 | nanos2 | 80 | 35.616 | Mola_mola |
ENSCATG00000034885 | NANOS3 | 67 | 31.613 | ENSMMOG00000003796 | - | 79 | 33.562 | Mola_mola |
ENSCATG00000034885 | NANOS3 | 78 | 50.327 | ENSMODG00000023964 | - | 96 | 50.327 | Monodelphis_domestica |
ENSCATG00000034885 | NANOS3 | 68 | 33.835 | ENSMALG00000006299 | nanos2 | 71 | 33.835 | Monopterus_albus |
ENSCATG00000034885 | NANOS3 | 73 | 37.500 | ENSMALG00000011545 | - | 66 | 36.806 | Monopterus_albus |
ENSCATG00000034885 | NANOS3 | 74 | 40.397 | ENSMALG00000005945 | nanos3 | 84 | 40.132 | Monopterus_albus |
ENSCATG00000034885 | NANOS3 | 98 | 65.829 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 79 | 70.122 | Mus_caroli |
ENSCATG00000034885 | NANOS3 | 78 | 38.065 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 37.107 | Mus_caroli |
ENSCATG00000034885 | NANOS3 | 78 | 40.260 | ENSMUSG00000051965 | Nanos2 | 96 | 38.365 | Mus_musculus |
ENSCATG00000034885 | NANOS3 | 98 | 65.979 | ENSMUSG00000056155 | Nanos3 | 81 | 70.122 | Mus_musculus |
ENSCATG00000034885 | NANOS3 | 100 | 63.317 | MGP_PahariEiJ_G0022902 | Nanos3 | 79 | 70.122 | Mus_pahari |
ENSCATG00000034885 | NANOS3 | 78 | 37.821 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 39.103 | Mus_pahari |
ENSCATG00000034885 | NANOS3 | 78 | 37.419 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 38.365 | Mus_spretus |
ENSCATG00000034885 | NANOS3 | 98 | 64.646 | MGP_SPRETEiJ_G0032414 | Nanos3 | 79 | 70.122 | Mus_spretus |
ENSCATG00000034885 | NANOS3 | 78 | 40.645 | ENSMPUG00000019371 | NANOS2 | 96 | 43.871 | Mustela_putorius_furo |
ENSCATG00000034885 | NANOS3 | 84 | 74.390 | ENSMPUG00000003282 | NANOS3 | 80 | 74.390 | Mustela_putorius_furo |
ENSCATG00000034885 | NANOS3 | 86 | 74.556 | ENSMLUG00000012971 | NANOS3 | 82 | 73.333 | Myotis_lucifugus |
ENSCATG00000034885 | NANOS3 | 67 | 34.247 | ENSNGAG00000023539 | Nanos1 | 72 | 33.117 | Nannospalax_galili |
ENSCATG00000034885 | NANOS3 | 88 | 71.098 | ENSNGAG00000020486 | Nanos3 | 79 | 70.303 | Nannospalax_galili |
ENSCATG00000034885 | NANOS3 | 67 | 31.788 | ENSNBRG00000014018 | - | 79 | 32.192 | Neolamprologus_brichardi |
ENSCATG00000034885 | NANOS3 | 100 | 86.735 | ENSNLEG00000034574 | NANOS3 | 84 | 90.303 | Nomascus_leucogenys |
ENSCATG00000034885 | NANOS3 | 84 | 68.605 | ENSOPRG00000007211 | - | 81 | 65.698 | Ochotona_princeps |
ENSCATG00000034885 | NANOS3 | 78 | 42.308 | ENSOPRG00000010043 | NANOS2 | 96 | 42.038 | Ochotona_princeps |
ENSCATG00000034885 | NANOS3 | 86 | 71.598 | ENSODEG00000008907 | NANOS3 | 78 | 69.091 | Octodon_degus |
ENSCATG00000034885 | NANOS3 | 73 | 33.566 | ENSONIG00000005777 | nanos2 | 86 | 36.054 | Oreochromis_niloticus |
ENSCATG00000034885 | NANOS3 | 74 | 33.668 | ENSONIG00000020588 | nanos3 | 50 | 47.748 | Oreochromis_niloticus |
ENSCATG00000034885 | NANOS3 | 78 | 51.316 | ENSOANG00000013042 | - | 96 | 51.316 | Ornithorhynchus_anatinus |
ENSCATG00000034885 | NANOS3 | 78 | 42.484 | ENSOCUG00000023755 | NANOS2 | 96 | 41.176 | Oryctolagus_cuniculus |
ENSCATG00000034885 | NANOS3 | 90 | 63.043 | ENSOCUG00000014802 | NANOS3 | 83 | 70.122 | Oryctolagus_cuniculus |
ENSCATG00000034885 | NANOS3 | 73 | 37.363 | ENSORLG00000012018 | nanos3 | 91 | 36.264 | Oryzias_latipes |
ENSCATG00000034885 | NANOS3 | 67 | 33.129 | ENSORLG00000027849 | nanos1a | 83 | 33.974 | Oryzias_latipes |
ENSCATG00000034885 | NANOS3 | 66 | 40.310 | ENSORLG00000009335 | nanos2 | 76 | 37.984 | Oryzias_latipes |
ENSCATG00000034885 | NANOS3 | 67 | 33.129 | ENSORLG00020008713 | - | 83 | 33.974 | Oryzias_latipes_hni |
ENSCATG00000034885 | NANOS3 | 73 | 37.363 | ENSORLG00020004967 | nanos3 | 91 | 36.264 | Oryzias_latipes_hni |
ENSCATG00000034885 | NANOS3 | 66 | 41.085 | ENSORLG00020013284 | nanos2 | 76 | 37.984 | Oryzias_latipes_hni |
ENSCATG00000034885 | NANOS3 | 73 | 37.640 | ENSORLG00015003631 | nanos3 | 90 | 37.079 | Oryzias_latipes_hsok |
ENSCATG00000034885 | NANOS3 | 66 | 41.085 | ENSORLG00015013150 | nanos2 | 76 | 37.984 | Oryzias_latipes_hsok |
ENSCATG00000034885 | NANOS3 | 67 | 33.129 | ENSORLG00015000175 | - | 83 | 33.544 | Oryzias_latipes_hsok |
ENSCATG00000034885 | NANOS3 | 67 | 35.366 | ENSOMEG00000008866 | NANOS1 | 84 | 36.774 | Oryzias_melastigma |
ENSCATG00000034885 | NANOS3 | 73 | 34.054 | ENSOMEG00000000922 | nanos3 | 91 | 35.676 | Oryzias_melastigma |
ENSCATG00000034885 | NANOS3 | 67 | 37.956 | ENSOMEG00000006512 | nanos2 | 79 | 35.075 | Oryzias_melastigma |
ENSCATG00000034885 | NANOS3 | 78 | 41.935 | ENSOGAG00000032290 | NANOS2 | 96 | 42.581 | Otolemur_garnettii |
ENSCATG00000034885 | NANOS3 | 100 | 73.737 | ENSOGAG00000007190 | NANOS3 | 81 | 73.939 | Otolemur_garnettii |
ENSCATG00000034885 | NANOS3 | 84 | 72.727 | ENSOARG00000008043 | NANOS3 | 79 | 72.121 | Ovis_aries |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSOARG00000011467 | NANOS2 | 96 | 39.490 | Ovis_aries |
ENSCATG00000034885 | NANOS3 | 100 | 86.224 | ENSPPAG00000032168 | NANOS3 | 100 | 86.224 | Pan_paniscus |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSPPAG00000020568 | NANOS2 | 96 | 41.558 | Pan_paniscus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSPPRG00000015211 | NANOS2 | 96 | 40.881 | Panthera_pardus |
ENSCATG00000034885 | NANOS3 | 86 | 69.822 | ENSPPRG00000009573 | NANOS3 | 82 | 71.515 | Panthera_pardus |
ENSCATG00000034885 | NANOS3 | 71 | 41.007 | ENSPTIG00000015372 | NANOS2 | 86 | 40.000 | Panthera_tigris_altaica |
ENSCATG00000034885 | NANOS3 | 86 | 69.822 | ENSPTIG00000000325 | NANOS3 | 82 | 71.515 | Panthera_tigris_altaica |
ENSCATG00000034885 | NANOS3 | 84 | 93.333 | ENSPTRG00000010568 | NANOS3 | 84 | 91.515 | Pan_troglodytes |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSPTRG00000011172 | NANOS2 | 96 | 41.558 | Pan_troglodytes |
ENSCATG00000034885 | NANOS3 | 78 | 42.208 | ENSPANG00000009327 | NANOS2 | 96 | 40.764 | Papio_anubis |
ENSCATG00000034885 | NANOS3 | 100 | 95.500 | ENSPANG00000015037 | NANOS3 | 100 | 95.500 | Papio_anubis |
ENSCATG00000034885 | NANOS3 | 75 | 43.137 | ENSPKIG00000006905 | - | 62 | 41.667 | Paramormyrops_kingsleyae |
ENSCATG00000034885 | NANOS3 | 73 | 41.447 | ENSPKIG00000009354 | nanos3 | 77 | 37.086 | Paramormyrops_kingsleyae |
ENSCATG00000034885 | NANOS3 | 67 | 36.641 | ENSPKIG00000006934 | - | 83 | 36.842 | Paramormyrops_kingsleyae |
ENSCATG00000034885 | NANOS3 | 76 | 42.282 | ENSPSIG00000007082 | NANOS2 | 92 | 39.597 | Pelodiscus_sinensis |
ENSCATG00000034885 | NANOS3 | 66 | 40.000 | ENSPMGG00000023681 | nanos2 | 70 | 37.500 | Periophthalmus_magnuspinnatus |
ENSCATG00000034885 | NANOS3 | 78 | 41.176 | ENSPEMG00000014999 | Nanos2 | 96 | 40.523 | Peromyscus_maniculatus_bairdii |
ENSCATG00000034885 | NANOS3 | 66 | 36.111 | ENSPFOG00000020721 | NANOS2 | 82 | 35.000 | Poecilia_formosa |
ENSCATG00000034885 | NANOS3 | 67 | 36.641 | ENSPLAG00000007786 | NANOS2 | 83 | 35.878 | Poecilia_latipinna |
ENSCATG00000034885 | NANOS3 | 68 | 36.842 | ENSPMEG00000005681 | NANOS2 | 82 | 35.338 | Poecilia_mexicana |
ENSCATG00000034885 | NANOS3 | 52 | 48.673 | ENSPMEG00000014135 | nanos3 | 55 | 48.673 | Poecilia_mexicana |
ENSCATG00000034885 | NANOS3 | 67 | 35.878 | ENSPREG00000020465 | nanos2 | 83 | 35.115 | Poecilia_reticulata |
ENSCATG00000034885 | NANOS3 | 84 | 91.176 | ENSPPYG00000009627 | NANOS3 | 84 | 88.824 | Pongo_abelii |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSPPYG00000010138 | NANOS2 | 96 | 41.558 | Pongo_abelii |
ENSCATG00000034885 | NANOS3 | 78 | 42.581 | ENSPCAG00000005087 | NANOS2 | 96 | 40.260 | Procavia_capensis |
ENSCATG00000034885 | NANOS3 | 86 | 75.148 | ENSPCOG00000018814 | NANOS3 | 82 | 74.545 | Propithecus_coquereli |
ENSCATG00000034885 | NANOS3 | 86 | 73.964 | ENSPVAG00000017538 | NANOS3 | 82 | 75.000 | Pteropus_vampyrus |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSPVAG00000001363 | NANOS2 | 96 | 41.935 | Pteropus_vampyrus |
ENSCATG00000034885 | NANOS3 | 67 | 31.788 | ENSPNYG00000001325 | - | 79 | 32.192 | Pundamilia_nyererei |
ENSCATG00000034885 | NANOS3 | 56 | 47.899 | ENSPNYG00000001788 | nanos3 | 50 | 48.649 | Pundamilia_nyererei |
ENSCATG00000034885 | NANOS3 | 66 | 32.308 | ENSPNYG00000004545 | NANOS2 | 51 | 55.000 | Pundamilia_nyererei |
ENSCATG00000034885 | NANOS3 | 66 | 32.903 | ENSPNAG00000017440 | nanos2 | 71 | 32.903 | Pygocentrus_nattereri |
ENSCATG00000034885 | NANOS3 | 78 | 38.158 | ENSPNAG00000002259 | nanos3 | 79 | 37.662 | Pygocentrus_nattereri |
ENSCATG00000034885 | NANOS3 | 78 | 42.208 | ENSRNOG00000038088 | Nanos2 | 96 | 40.385 | Rattus_norvegicus |
ENSCATG00000034885 | NANOS3 | 98 | 65.152 | ENSRNOG00000031593 | Nanos3 | 79 | 70.732 | Rattus_norvegicus |
ENSCATG00000034885 | NANOS3 | 78 | 40.523 | ENSRBIG00000023726 | NANOS2 | 96 | 42.949 | Rhinopithecus_bieti |
ENSCATG00000034885 | NANOS3 | 100 | 94.388 | ENSRBIG00000037377 | NANOS3 | 85 | 92.727 | Rhinopithecus_bieti |
ENSCATG00000034885 | NANOS3 | 100 | 95.408 | ENSRROG00000032642 | NANOS3 | 100 | 95.408 | Rhinopithecus_roxellana |
ENSCATG00000034885 | NANOS3 | 78 | 41.830 | ENSRROG00000014903 | NANOS2 | 96 | 42.949 | Rhinopithecus_roxellana |
ENSCATG00000034885 | NANOS3 | 84 | 75.152 | ENSSBOG00000020970 | NANOS3 | 83 | 78.182 | Saimiri_boliviensis_boliviensis |
ENSCATG00000034885 | NANOS3 | 78 | 40.260 | ENSSHAG00000017034 | NANOS2 | 96 | 42.208 | Sarcophilus_harrisii |
ENSCATG00000034885 | NANOS3 | 78 | 51.299 | ENSSHAG00000012099 | - | 96 | 49.673 | Sarcophilus_harrisii |
ENSCATG00000034885 | NANOS3 | 78 | 50.649 | ENSSHAG00000010756 | - | 96 | 50.327 | Sarcophilus_harrisii |
ENSCATG00000034885 | NANOS3 | 73 | 43.836 | ENSSFOG00015013452 | nanos3 | 95 | 42.857 | Scleropages_formosus |
ENSCATG00000034885 | NANOS3 | 66 | 37.594 | ENSSMAG00000013915 | nanos2 | 78 | 38.060 | Scophthalmus_maximus |
ENSCATG00000034885 | NANOS3 | 67 | 33.548 | ENSSDUG00000007879 | - | 82 | 34.228 | Seriola_dumerili |
ENSCATG00000034885 | NANOS3 | 66 | 40.152 | ENSSDUG00000016576 | nanos2 | 78 | 37.589 | Seriola_dumerili |
ENSCATG00000034885 | NANOS3 | 66 | 39.695 | ENSSLDG00000013795 | nanos2 | 78 | 36.913 | Seriola_lalandi_dorsalis |
ENSCATG00000034885 | NANOS3 | 67 | 33.548 | ENSSLDG00000021260 | - | 83 | 34.228 | Seriola_lalandi_dorsalis |
ENSCATG00000034885 | NANOS3 | 100 | 67.500 | ENSSARG00000008966 | NANOS3 | 80 | 68.293 | Sorex_araneus |
ENSCATG00000034885 | NANOS3 | 78 | 38.562 | ENSSPUG00000002566 | NANOS2 | 92 | 38.365 | Sphenodon_punctatus |
ENSCATG00000034885 | NANOS3 | 79 | 46.452 | ENSSPUG00000009826 | NANOS3 | 68 | 46.452 | Sphenodon_punctatus |
ENSCATG00000034885 | NANOS3 | 66 | 39.855 | ENSSPAG00000003887 | nanos2 | 81 | 39.535 | Stegastes_partitus |
ENSCATG00000034885 | NANOS3 | 84 | 75.000 | ENSSSCG00000013759 | NANOS3 | 82 | 72.727 | Sus_scrofa |
ENSCATG00000034885 | NANOS3 | 78 | 43.226 | ENSSSCG00000003096 | NANOS2 | 96 | 41.250 | Sus_scrofa |
ENSCATG00000034885 | NANOS3 | 67 | 33.333 | ENSTRUG00000017633 | nanos2 | 82 | 37.121 | Takifugu_rubripes |
ENSCATG00000034885 | NANOS3 | 71 | 45.775 | ENSTNIG00000014063 | nanos3 | 91 | 43.571 | Tetraodon_nigroviridis |
ENSCATG00000034885 | NANOS3 | 67 | 35.766 | ENSTNIG00000010543 | - | 87 | 35.252 | Tetraodon_nigroviridis |
ENSCATG00000034885 | NANOS3 | 89 | 74.286 | ENSTBEG00000013729 | NANOS3 | 93 | 75.000 | Tupaia_belangeri |
ENSCATG00000034885 | NANOS3 | 78 | 40.645 | ENSTTRG00000014315 | NANOS2 | 96 | 41.401 | Tursiops_truncatus |
ENSCATG00000034885 | NANOS3 | 98 | 67.358 | ENSTTRG00000008361 | NANOS3 | 85 | 72.727 | Tursiops_truncatus |
ENSCATG00000034885 | NANOS3 | 78 | 42.581 | ENSUAMG00000023170 | NANOS2 | 96 | 41.509 | Ursus_americanus |
ENSCATG00000034885 | NANOS3 | 84 | 71.341 | ENSUAMG00000006804 | NANOS3 | 82 | 72.727 | Ursus_americanus |
ENSCATG00000034885 | NANOS3 | 82 | 36.810 | ENSUMAG00000023699 | NANOS2 | 90 | 35.928 | Ursus_maritimus |
ENSCATG00000034885 | NANOS3 | 84 | 71.341 | ENSUMAG00000004703 | NANOS3 | 79 | 72.727 | Ursus_maritimus |
ENSCATG00000034885 | NANOS3 | 99 | 73.196 | ENSVPAG00000011497 | NANOS3 | 84 | 75.758 | Vicugna_pacos |
ENSCATG00000034885 | NANOS3 | 79 | 42.308 | ENSVVUG00000002993 | NANOS2 | 97 | 41.875 | Vulpes_vulpes |
ENSCATG00000034885 | NANOS3 | 84 | 70.303 | ENSVVUG00000026757 | NANOS3 | 83 | 72.727 | Vulpes_vulpes |
ENSCATG00000034885 | NANOS3 | 77 | 36.774 | ENSXETG00000014552 | NANOS2 | 96 | 33.758 | Xenopus_tropicalis |
ENSCATG00000034885 | NANOS3 | 66 | 38.168 | ENSXETG00000024565 | nanos1 | 84 | 35.878 | Xenopus_tropicalis |
ENSCATG00000034885 | NANOS3 | 81 | 45.783 | ENSXETG00000021874 | nanos3 | 100 | 46.154 | Xenopus_tropicalis |
ENSCATG00000034885 | NANOS3 | 74 | 35.450 | ENSXCOG00000014426 | nanos3 | 90 | 35.979 | Xiphophorus_couchianus |
ENSCATG00000034885 | NANOS3 | 66 | 36.567 | ENSXMAG00000020157 | - | 63 | 36.232 | Xiphophorus_maculatus |
ENSCATG00000034885 | NANOS3 | 74 | 35.450 | ENSXMAG00000023751 | nanos3 | 90 | 36.508 | Xiphophorus_maculatus |