Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSMFAP00000042481 | zf-nanos | PF05741.13 | 6.8e-25 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSMFAT00000016764 | NANOS3-201 | 582 | XM_005588207 | ENSMFAP00000042481 | 193 (aa) | XP_005588264 | A0A2K5WZC1 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSMFAG00000017215 | NANOS2 | 96 | 42.763 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSMFAG00000040009 | NANOS3 | 100 | 87.565 | ENSG00000187556 | NANOS3 | 100 | 87.565 | Homo_sapiens |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSG00000188425 | NANOS2 | 96 | 42.105 | Homo_sapiens |
ENSMFAG00000040009 | NANOS3 | 57 | 49.167 | ENSAPOG00000009762 | nanos3 | 56 | 49.167 | Acanthochromis_polyacanthus |
ENSMFAG00000040009 | NANOS3 | 65 | 41.406 | ENSAPOG00000020274 | nanos2 | 77 | 41.406 | Acanthochromis_polyacanthus |
ENSMFAG00000040009 | NANOS3 | 93 | 71.667 | ENSAMEG00000012972 | NANOS3 | 81 | 73.913 | Ailuropoda_melanoleuca |
ENSMFAG00000040009 | NANOS3 | 67 | 30.108 | ENSACIG00000019022 | - | 79 | 30.108 | Amphilophus_citrinellus |
ENSMFAG00000040009 | NANOS3 | 65 | 34.127 | ENSACIG00000007105 | nanos2 | 67 | 34.127 | Amphilophus_citrinellus |
ENSMFAG00000040009 | NANOS3 | 57 | 49.167 | ENSAOCG00000009870 | nanos3 | 59 | 49.167 | Amphiprion_ocellaris |
ENSMFAG00000040009 | NANOS3 | 65 | 37.008 | ENSAOCG00000009429 | nanos2 | 75 | 39.231 | Amphiprion_ocellaris |
ENSMFAG00000040009 | NANOS3 | 65 | 38.583 | ENSAPEG00000019139 | nanos2 | 76 | 38.583 | Amphiprion_percula |
ENSMFAG00000040009 | NANOS3 | 57 | 49.167 | ENSAPEG00000013733 | nanos3 | 59 | 49.167 | Amphiprion_percula |
ENSMFAG00000040009 | NANOS3 | 65 | 38.235 | ENSATEG00000009393 | nanos2 | 76 | 40.310 | Anabas_testudineus |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000022675 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000025655 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024504 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000024434 | - | 95 | 41.060 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024274 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000026478 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000023823 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000025093 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.667 | ENSACAG00000025452 | - | 96 | 41.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000027212 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024972 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.667 | ENSACAG00000005197 | - | 96 | 41.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000026660 | - | 96 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.667 | ENSACAG00000026716 | - | 95 | 42.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000025505 | - | 97 | 39.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000022236 | - | 95 | 42.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000025307 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.789 | ENSACAG00000023519 | - | 95 | 40.789 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000024995 | - | 95 | 41.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000022041 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024370 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSACAG00000022207 | - | 97 | 41.447 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.667 | ENSACAG00000026334 | - | 95 | 40.397 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000022861 | - | 97 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSACAG00000026819 | - | 95 | 41.447 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000026679 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000010268 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000025729 | - | 95 | 41.060 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000025044 | - | 95 | 39.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000023650 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000027983 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024364 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000026317 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000027440 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000027995 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000028048 | - | 97 | 41.060 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000023428 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000026771 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000023803 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024218 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.789 | ENSACAG00000024432 | - | 97 | 40.789 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 37.333 | ENSACAG00000024003 | - | 97 | 40.397 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000023813 | - | 97 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000014502 | - | 97 | 41.060 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024568 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000022918 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000027265 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000022322 | - | 95 | 39.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000022321 | - | 97 | 41.060 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.667 | ENSACAG00000027568 | - | 96 | 41.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.667 | ENSACAG00000025556 | - | 95 | 38.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000017474 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000023391 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000024639 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000023855 | - | 95 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000027196 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSACAG00000025632 | - | 97 | 41.060 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 36.000 | ENSACAG00000022790 | - | 97 | 39.073 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000026757 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000022088 | - | 95 | 42.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSACAG00000027728 | - | 95 | 40.000 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.667 | ENSACAG00000026350 | - | 96 | 41.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | ENSACAG00000025260 | - | 97 | 40.667 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 78 | 40.667 | ENSACAG00000024524 | - | 96 | 41.333 | Anolis_carolinensis |
ENSMFAG00000040009 | NANOS3 | 99 | 74.346 | ENSANAG00000025042 | NANOS3 | 84 | 84.472 | Aotus_nancymaae |
ENSMFAG00000040009 | NANOS3 | 67 | 33.333 | ENSACLG00000013474 | - | 79 | 33.333 | Astatotilapia_calliptera |
ENSMFAG00000040009 | NANOS3 | 68 | 33.544 | ENSAMXG00000043091 | nanos1 | 82 | 34.000 | Astyanax_mexicanus |
ENSMFAG00000040009 | NANOS3 | 68 | 31.707 | ENSAMXG00000030027 | NANOS1 | 82 | 33.775 | Astyanax_mexicanus |
ENSMFAG00000040009 | NANOS3 | 98 | 71.579 | ENSBTAG00000000399 | NANOS3 | 82 | 76.398 | Bos_taurus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSBTAG00000047505 | NANOS2 | 96 | 43.137 | Bos_taurus |
ENSMFAG00000040009 | NANOS3 | 84 | 79.630 | ENSCJAG00000004388 | NANOS3 | 84 | 84.568 | Callithrix_jacchus |
ENSMFAG00000040009 | NANOS3 | 78 | 40.789 | ENSCJAG00000012141 | NANOS2 | 94 | 41.447 | Callithrix_jacchus |
ENSMFAG00000040009 | NANOS3 | 78 | 45.752 | ENSCAFG00000024541 | NANOS2 | 97 | 45.752 | Canis_familiaris |
ENSMFAG00000040009 | NANOS3 | 84 | 69.753 | ENSCAFG00000016592 | NANOS3 | 74 | 73.457 | Canis_familiaris |
ENSMFAG00000040009 | NANOS3 | 84 | 69.753 | ENSCAFG00020006694 | NANOS3 | 74 | 73.457 | Canis_lupus_dingo |
ENSMFAG00000040009 | NANOS3 | 78 | 45.752 | ENSCAFG00020001772 | NANOS2 | 97 | 45.752 | Canis_lupus_dingo |
ENSMFAG00000040009 | NANOS3 | 84 | 75.309 | ENSCHIG00000007837 | NANOS3 | 81 | 75.309 | Capra_hircus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSCHIG00000012637 | NANOS2 | 96 | 43.137 | Capra_hircus |
ENSMFAG00000040009 | NANOS3 | 83 | 72.393 | ENSTSYG00000026709 | NANOS3 | 81 | 72.393 | Carlito_syrichta |
ENSMFAG00000040009 | NANOS3 | 86 | 71.687 | ENSCAPG00000014339 | NANOS3 | 90 | 73.913 | Cavia_aperea |
ENSMFAG00000040009 | NANOS3 | 76 | 42.857 | ENSCAPG00000016771 | NANOS2 | 94 | 42.857 | Cavia_aperea |
ENSMFAG00000040009 | NANOS3 | 76 | 42.857 | ENSCPOG00000014969 | NANOS2 | 94 | 42.857 | Cavia_porcellus |
ENSMFAG00000040009 | NANOS3 | 98 | 68.586 | ENSCPOG00000020727 | NANOS3 | 81 | 73.292 | Cavia_porcellus |
ENSMFAG00000040009 | NANOS3 | 93 | 77.222 | ENSCCAG00000036253 | NANOS3 | 82 | 82.099 | Cebus_capucinus |
ENSMFAG00000040009 | NANOS3 | 84 | 93.939 | ENSCATG00000034885 | NANOS3 | 100 | 96.939 | Cercocebus_atys |
ENSMFAG00000040009 | NANOS3 | 78 | 43.046 | ENSCATG00000018951 | NANOS2 | 96 | 44.444 | Cercocebus_atys |
ENSMFAG00000040009 | NANOS3 | 77 | 43.624 | ENSCLAG00000001832 | NANOS2 | 95 | 43.624 | Chinchilla_lanigera |
ENSMFAG00000040009 | NANOS3 | 98 | 67.692 | ENSCLAG00000015139 | NANOS3 | 80 | 70.370 | Chinchilla_lanigera |
ENSMFAG00000040009 | NANOS3 | 100 | 93.970 | ENSCSAG00000006428 | NANOS3 | 100 | 93.970 | Chlorocebus_sabaeus |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSCSAG00000019629 | NANOS2 | 96 | 42.763 | Chlorocebus_sabaeus |
ENSMFAG00000040009 | NANOS3 | 78 | 41.722 | ENSCHOG00000001937 | NANOS2 | 97 | 41.722 | Choloepus_hoffmanni |
ENSMFAG00000040009 | NANOS3 | 76 | 46.980 | ENSCPBG00000023819 | NANOS3 | 92 | 46.980 | Chrysemys_picta_bellii |
ENSMFAG00000040009 | NANOS3 | 75 | 40.000 | ENSCPBG00000007141 | NANOS2 | 84 | 40.000 | Chrysemys_picta_bellii |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSCANG00000012014 | NANOS2 | 96 | 42.763 | Colobus_angolensis_palliatus |
ENSMFAG00000040009 | NANOS3 | 84 | 96.914 | ENSCANG00000034930 | NANOS3 | 85 | 96.914 | Colobus_angolensis_palliatus |
ENSMFAG00000040009 | NANOS3 | 96 | 68.280 | ENSCGRG00001023851 | Nanos3 | 81 | 72.050 | Cricetulus_griseus_chok1gshd |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSCGRG00001013726 | Nanos2 | 96 | 39.333 | Cricetulus_griseus_chok1gshd |
ENSMFAG00000040009 | NANOS3 | 96 | 68.421 | ENSCGRG00000017734 | Nanos3 | 79 | 72.050 | Cricetulus_griseus_crigri |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSCGRG00000019170 | Nanos2 | 96 | 39.333 | Cricetulus_griseus_crigri |
ENSMFAG00000040009 | NANOS3 | 66 | 40.625 | ENSCSEG00000017157 | nanos2 | 78 | 42.636 | Cynoglossus_semilaevis |
ENSMFAG00000040009 | NANOS3 | 66 | 37.795 | ENSCVAG00000006947 | nanos2 | 77 | 38.583 | Cyprinodon_variegatus |
ENSMFAG00000040009 | NANOS3 | 67 | 34.416 | ENSCVAG00000019077 | - | 77 | 31.210 | Cyprinodon_variegatus |
ENSMFAG00000040009 | NANOS3 | 66 | 39.844 | ENSDARG00000116802 | nanos2 | 83 | 39.844 | Danio_rerio |
ENSMFAG00000040009 | NANOS3 | 73 | 43.571 | ENSDARG00000068255 | nanos3 | 86 | 43.571 | Danio_rerio |
ENSMFAG00000040009 | NANOS3 | 78 | 41.176 | ENSDNOG00000044718 | NANOS2 | 97 | 41.176 | Dasypus_novemcinctus |
ENSMFAG00000040009 | NANOS3 | 66 | 34.899 | ENSDORG00000029226 | Nanos1 | 77 | 36.242 | Dipodomys_ordii |
ENSMFAG00000040009 | NANOS3 | 84 | 74.074 | ENSEASG00005015313 | NANOS3 | 85 | 74.074 | Equus_asinus_asinus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.763 | ENSEASG00005014235 | NANOS2 | 96 | 44.737 | Equus_asinus_asinus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.763 | ENSECAG00000006033 | NANOS2 | 96 | 44.737 | Equus_caballus |
ENSMFAG00000040009 | NANOS3 | 86 | 74.096 | ENSECAG00000016293 | NANOS3 | 81 | 74.074 | Equus_caballus |
ENSMFAG00000040009 | NANOS3 | 78 | 46.711 | ENSEEUG00000009930 | NANOS2 | 97 | 46.711 | Erinaceus_europaeus |
ENSMFAG00000040009 | NANOS3 | 88 | 67.614 | ENSEEUG00000009900 | NANOS3 | 94 | 67.665 | Erinaceus_europaeus |
ENSMFAG00000040009 | NANOS3 | 70 | 40.667 | ENSELUG00000016582 | - | 81 | 40.667 | Esox_lucius |
ENSMFAG00000040009 | NANOS3 | 71 | 42.466 | ENSELUG00000016082 | nanos3 | 87 | 42.759 | Esox_lucius |
ENSMFAG00000040009 | NANOS3 | 65 | 39.062 | ENSELUG00000019091 | - | 76 | 39.062 | Esox_lucius |
ENSMFAG00000040009 | NANOS3 | 78 | 42.763 | ENSFCAG00000027661 | NANOS2 | 96 | 44.737 | Felis_catus |
ENSMFAG00000040009 | NANOS3 | 82 | 61.392 | ENSFCAG00000003717 | NANOS3 | 79 | 64.286 | Felis_catus |
ENSMFAG00000040009 | NANOS3 | 85 | 70.122 | ENSFDAG00000018459 | NANOS3 | 80 | 69.753 | Fukomys_damarensis |
ENSMFAG00000040009 | NANOS3 | 77 | 42.568 | ENSFDAG00000016342 | NANOS2 | 95 | 42.568 | Fukomys_damarensis |
ENSMFAG00000040009 | NANOS3 | 72 | 37.838 | ENSFHEG00000017084 | - | 83 | 42.949 | Fundulus_heteroclitus |
ENSMFAG00000040009 | NANOS3 | 72 | 35.099 | ENSFHEG00000012835 | NANOS2 | 85 | 37.879 | Fundulus_heteroclitus |
ENSMFAG00000040009 | NANOS3 | 67 | 34.884 | ENSGMOG00000015980 | - | 96 | 34.884 | Gadus_morhua |
ENSMFAG00000040009 | NANOS3 | 67 | 32.877 | ENSGAFG00000017593 | NANOS1 | 80 | 35.862 | Gambusia_affinis |
ENSMFAG00000040009 | NANOS3 | 65 | 38.889 | ENSGAFG00000006000 | - | 66 | 37.302 | Gambusia_affinis |
ENSMFAG00000040009 | NANOS3 | 67 | 37.405 | ENSGACG00000004930 | - | 97 | 37.405 | Gasterosteus_aculeatus |
ENSMFAG00000040009 | NANOS3 | 74 | 39.073 | ENSGACG00000019003 | nanos3 | 89 | 39.073 | Gasterosteus_aculeatus |
ENSMFAG00000040009 | NANOS3 | 80 | 45.806 | ENSGAGG00000005591 | - | 77 | 45.806 | Gopherus_agassizii |
ENSMFAG00000040009 | NANOS3 | 85 | 37.349 | ENSGAGG00000009500 | NANOS2 | 76 | 39.041 | Gopherus_agassizii |
ENSMFAG00000040009 | NANOS3 | 84 | 92.262 | ENSGGOG00000000964 | NANOS3 | 85 | 92.262 | Gorilla_gorilla |
ENSMFAG00000040009 | NANOS3 | 78 | 42.384 | ENSGGOG00000013447 | NANOS2 | 96 | 42.000 | Gorilla_gorilla |
ENSMFAG00000040009 | NANOS3 | 67 | 32.680 | ENSHBUG00000019798 | - | 79 | 32.680 | Haplochromis_burtoni |
ENSMFAG00000040009 | NANOS3 | 66 | 32.308 | ENSHBUG00000016772 | nanos2 | 78 | 35.821 | Haplochromis_burtoni |
ENSMFAG00000040009 | NANOS3 | 86 | 72.289 | ENSHGLG00000019378 | NANOS3 | 78 | 72.840 | Heterocephalus_glaber_female |
ENSMFAG00000040009 | NANOS3 | 86 | 72.289 | ENSHGLG00100012652 | NANOS3 | 78 | 72.840 | Heterocephalus_glaber_male |
ENSMFAG00000040009 | NANOS3 | 73 | 39.286 | ENSHCOG00000014790 | nanos3 | 80 | 39.286 | Hippocampus_comes |
ENSMFAG00000040009 | NANOS3 | 68 | 35.484 | ENSHCOG00000010326 | NANOS1 | 80 | 32.704 | Hippocampus_comes |
ENSMFAG00000040009 | NANOS3 | 68 | 31.056 | ENSHCOG00000011423 | - | 80 | 31.056 | Hippocampus_comes |
ENSMFAG00000040009 | NANOS3 | 74 | 39.877 | ENSIPUG00000008857 | nanos3 | 88 | 39.877 | Ictalurus_punctatus |
ENSMFAG00000040009 | NANOS3 | 76 | 40.789 | ENSIPUG00000007200 | - | 86 | 40.789 | Ictalurus_punctatus |
ENSMFAG00000040009 | NANOS3 | 71 | 42.254 | ENSIPUG00000012246 | - | 70 | 42.958 | Ictalurus_punctatus |
ENSMFAG00000040009 | NANOS3 | 74 | 39.610 | ENSIPUG00000024113 | nanos2 | 86 | 40.000 | Ictalurus_punctatus |
ENSMFAG00000040009 | NANOS3 | 83 | 72.222 | ENSSTOG00000024797 | NANOS3 | 79 | 75.926 | Ictidomys_tridecemlineatus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.000 | ENSSTOG00000021724 | NANOS2 | 96 | 42.667 | Ictidomys_tridecemlineatus |
ENSMFAG00000040009 | NANOS3 | 86 | 65.089 | ENSJJAG00000000545 | Nanos3 | 79 | 68.944 | Jaculus_jaculus |
ENSMFAG00000040009 | NANOS3 | 65 | 40.625 | ENSLBEG00000018836 | nanos2 | 81 | 40.625 | Labrus_bergylta |
ENSMFAG00000040009 | NANOS3 | 77 | 31.088 | ENSLACG00000015195 | NANOS1 | 91 | 31.088 | Latimeria_chalumnae |
ENSMFAG00000040009 | NANOS3 | 75 | 38.750 | ENSLACG00000014980 | - | 89 | 38.750 | Latimeria_chalumnae |
ENSMFAG00000040009 | NANOS3 | 76 | 42.857 | ENSLACG00000013286 | NANOS3 | 92 | 42.857 | Latimeria_chalumnae |
ENSMFAG00000040009 | NANOS3 | 93 | 71.585 | ENSLAFG00000008480 | NANOS3 | 79 | 75.155 | Loxodonta_africana |
ENSMFAG00000040009 | NANOS3 | 78 | 43.421 | ENSLAFG00000014090 | NANOS2 | 96 | 43.421 | Loxodonta_africana |
ENSMFAG00000040009 | NANOS3 | 100 | 98.969 | ENSMMUG00000008316 | NANOS3 | 100 | 98.969 | Macaca_mulatta |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSMMUG00000008103 | NANOS2 | 96 | 42.763 | Macaca_mulatta |
ENSMFAG00000040009 | NANOS3 | 100 | 99.482 | ENSMNEG00000028898 | NANOS3 | 100 | 99.482 | Macaca_nemestrina |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSMNEG00000004633 | NANOS2 | 96 | 42.763 | Macaca_nemestrina |
ENSMFAG00000040009 | NANOS3 | 78 | 43.046 | ENSMLEG00000001810 | NANOS2 | 96 | 44.444 | Mandrillus_leucophaeus |
ENSMFAG00000040009 | NANOS3 | 100 | 87.755 | ENSMLEG00000033135 | NANOS3 | 100 | 96.939 | Mandrillus_leucophaeus |
ENSMFAG00000040009 | NANOS3 | 67 | 36.923 | ENSMAMG00000005577 | NANOS2 | 78 | 36.923 | Mastacembelus_armatus |
ENSMFAG00000040009 | NANOS3 | 67 | 32.692 | ENSMAMG00000015477 | - | 81 | 32.692 | Mastacembelus_armatus |
ENSMFAG00000040009 | NANOS3 | 66 | 30.769 | ENSMZEG00005003043 | - | 78 | 34.328 | Maylandia_zebra |
ENSMFAG00000040009 | NANOS3 | 66 | 30.769 | ENSMZEG00005028154 | - | 78 | 34.328 | Maylandia_zebra |
ENSMFAG00000040009 | NANOS3 | 66 | 34.058 | ENSMZEG00005021987 | - | 78 | 35.606 | Maylandia_zebra |
ENSMFAG00000040009 | NANOS3 | 67 | 32.680 | ENSMZEG00005002722 | - | 79 | 32.680 | Maylandia_zebra |
ENSMFAG00000040009 | NANOS3 | 66 | 30.000 | ENSMZEG00005024641 | - | 78 | 33.582 | Maylandia_zebra |
ENSMFAG00000040009 | NANOS3 | 66 | 30.000 | ENSMZEG00005028148 | - | 78 | 33.582 | Maylandia_zebra |
ENSMFAG00000040009 | NANOS3 | 98 | 65.263 | ENSMAUG00000008396 | Nanos3 | 79 | 70.807 | Mesocricetus_auratus |
ENSMFAG00000040009 | NANOS3 | 86 | 76.506 | ENSMICG00000030950 | NANOS3 | 82 | 76.543 | Microcebus_murinus |
ENSMFAG00000040009 | NANOS3 | 87 | 71.429 | ENSMOCG00000000059 | Nanos3 | 80 | 72.050 | Microtus_ochrogaster |
ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | ENSMOCG00000001985 | Nanos2 | 96 | 39.333 | Microtus_ochrogaster |
ENSMFAG00000040009 | NANOS3 | 67 | 33.548 | ENSMMOG00000003796 | - | 79 | 33.548 | Mola_mola |
ENSMFAG00000040009 | NANOS3 | 70 | 35.036 | ENSMMOG00000009827 | nanos2 | 80 | 35.036 | Mola_mola |
ENSMFAG00000040009 | NANOS3 | 78 | 51.333 | ENSMODG00000023964 | - | 96 | 51.333 | Monodelphis_domestica |
ENSMFAG00000040009 | NANOS3 | 74 | 42.568 | ENSMALG00000005945 | nanos3 | 84 | 42.857 | Monopterus_albus |
ENSMFAG00000040009 | NANOS3 | 67 | 33.846 | ENSMALG00000006299 | nanos2 | 71 | 33.846 | Monopterus_albus |
ENSMFAG00000040009 | NANOS3 | 73 | 37.857 | ENSMALG00000011545 | - | 66 | 38.298 | Monopterus_albus |
ENSMFAG00000040009 | NANOS3 | 67 | 30.108 | ENSMALG00000015460 | - | 79 | 30.108 | Monopterus_albus |
ENSMFAG00000040009 | NANOS3 | 98 | 66.837 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 79 | 71.429 | Mus_caroli |
ENSMFAG00000040009 | NANOS3 | 78 | 40.132 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 40.132 | Mus_caroli |
ENSMFAG00000040009 | NANOS3 | 98 | 67.016 | ENSMUSG00000056155 | Nanos3 | 81 | 71.429 | Mus_musculus |
ENSMFAG00000040009 | NANOS3 | 78 | 39.474 | ENSMUSG00000051965 | Nanos2 | 96 | 39.474 | Mus_musculus |
ENSMFAG00000040009 | NANOS3 | 100 | 64.286 | MGP_PahariEiJ_G0022902 | Nanos3 | 79 | 71.429 | Mus_pahari |
ENSMFAG00000040009 | NANOS3 | 78 | 40.132 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 40.132 | Mus_pahari |
ENSMFAG00000040009 | NANOS3 | 78 | 39.474 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 39.474 | Mus_spretus |
ENSMFAG00000040009 | NANOS3 | 98 | 65.641 | MGP_SPRETEiJ_G0032414 | Nanos3 | 79 | 71.429 | Mus_spretus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSMPUG00000019371 | NANOS2 | 96 | 45.395 | Mustela_putorius_furo |
ENSMFAG00000040009 | NANOS3 | 83 | 75.776 | ENSMPUG00000003282 | NANOS3 | 80 | 75.776 | Mustela_putorius_furo |
ENSMFAG00000040009 | NANOS3 | 86 | 75.904 | ENSMLUG00000012971 | NANOS3 | 82 | 75.926 | Myotis_lucifugus |
ENSMFAG00000040009 | NANOS3 | 66 | 36.301 | ENSNGAG00000023539 | Nanos1 | 72 | 36.301 | Nannospalax_galili |
ENSMFAG00000040009 | NANOS3 | 89 | 71.930 | ENSNGAG00000020486 | Nanos3 | 79 | 72.222 | Nannospalax_galili |
ENSMFAG00000040009 | NANOS3 | 67 | 32.680 | ENSNBRG00000014018 | - | 79 | 32.680 | Neolamprologus_brichardi |
ENSMFAG00000040009 | NANOS3 | 100 | 88.083 | ENSNLEG00000034574 | NANOS3 | 100 | 88.083 | Nomascus_leucogenys |
ENSMFAG00000040009 | NANOS3 | 83 | 69.939 | ENSOPRG00000007211 | - | 81 | 69.939 | Ochotona_princeps |
ENSMFAG00000040009 | NANOS3 | 78 | 43.333 | ENSOPRG00000010043 | NANOS2 | 96 | 45.455 | Ochotona_princeps |
ENSMFAG00000040009 | NANOS3 | 86 | 72.024 | ENSODEG00000008907 | NANOS3 | 78 | 71.951 | Octodon_degus |
ENSMFAG00000040009 | NANOS3 | 73 | 32.168 | ENSONIG00000005777 | nanos2 | 86 | 35.135 | Oreochromis_niloticus |
ENSMFAG00000040009 | NANOS3 | 77 | 51.007 | ENSOANG00000013042 | - | 96 | 51.656 | Ornithorhynchus_anatinus |
ENSMFAG00000040009 | NANOS3 | 62 | 53.279 | ENSOANG00000004407 | - | 76 | 50.376 | Ornithorhynchus_anatinus |
ENSMFAG00000040009 | NANOS3 | 78 | 41.333 | ENSOCUG00000023755 | NANOS2 | 96 | 41.333 | Oryctolagus_cuniculus |
ENSMFAG00000040009 | NANOS3 | 90 | 66.480 | ENSOCUG00000014802 | NANOS3 | 83 | 71.429 | Oryctolagus_cuniculus |
ENSMFAG00000040009 | NANOS3 | 67 | 33.537 | ENSORLG00000027849 | nanos1a | 83 | 36.601 | Oryzias_latipes |
ENSMFAG00000040009 | NANOS3 | 73 | 36.264 | ENSORLG00000012018 | nanos3 | 91 | 36.264 | Oryzias_latipes |
ENSMFAG00000040009 | NANOS3 | 65 | 37.795 | ENSORLG00000009335 | nanos2 | 76 | 41.406 | Oryzias_latipes |
ENSMFAG00000040009 | NANOS3 | 73 | 36.264 | ENSORLG00020004967 | nanos3 | 91 | 36.264 | Oryzias_latipes_hni |
ENSMFAG00000040009 | NANOS3 | 67 | 33.537 | ENSORLG00020008713 | - | 83 | 36.601 | Oryzias_latipes_hni |
ENSMFAG00000040009 | NANOS3 | 65 | 38.095 | ENSORLG00020013284 | nanos2 | 76 | 41.406 | Oryzias_latipes_hni |
ENSMFAG00000040009 | NANOS3 | 67 | 36.601 | ENSORLG00015000175 | - | 83 | 36.601 | Oryzias_latipes_hsok |
ENSMFAG00000040009 | NANOS3 | 73 | 36.517 | ENSORLG00015003631 | nanos3 | 90 | 36.517 | Oryzias_latipes_hsok |
ENSMFAG00000040009 | NANOS3 | 65 | 38.889 | ENSORLG00015013150 | nanos2 | 76 | 39.844 | Oryzias_latipes_hsok |
ENSMFAG00000040009 | NANOS3 | 67 | 39.535 | ENSOMEG00000006512 | nanos2 | 79 | 41.085 | Oryzias_melastigma |
ENSMFAG00000040009 | NANOS3 | 73 | 35.938 | ENSOMEG00000000922 | nanos3 | 91 | 35.938 | Oryzias_melastigma |
ENSMFAG00000040009 | NANOS3 | 67 | 34.194 | ENSOMEG00000008866 | NANOS1 | 84 | 34.194 | Oryzias_melastigma |
ENSMFAG00000040009 | NANOS3 | 78 | 42.763 | ENSOGAG00000032290 | NANOS2 | 96 | 42.763 | Otolemur_garnettii |
ENSMFAG00000040009 | NANOS3 | 100 | 73.846 | ENSOGAG00000007190 | NANOS3 | 81 | 75.309 | Otolemur_garnettii |
ENSMFAG00000040009 | NANOS3 | 84 | 75.309 | ENSOARG00000008043 | NANOS3 | 79 | 75.309 | Ovis_aries |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSOARG00000011467 | NANOS2 | 96 | 43.137 | Ovis_aries |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSPPAG00000020568 | NANOS2 | 96 | 42.105 | Pan_paniscus |
ENSMFAG00000040009 | NANOS3 | 100 | 87.565 | ENSPPAG00000032168 | NANOS3 | 100 | 87.565 | Pan_paniscus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.763 | ENSPPRG00000015211 | NANOS2 | 96 | 44.737 | Panthera_pardus |
ENSMFAG00000040009 | NANOS3 | 86 | 69.880 | ENSPPRG00000009573 | NANOS3 | 82 | 72.840 | Panthera_pardus |
ENSMFAG00000040009 | NANOS3 | 70 | 42.029 | ENSPTIG00000015372 | NANOS2 | 86 | 44.203 | Panthera_tigris_altaica |
ENSMFAG00000040009 | NANOS3 | 86 | 69.880 | ENSPTIG00000000325 | NANOS3 | 82 | 72.840 | Panthera_tigris_altaica |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSPTRG00000011172 | NANOS2 | 96 | 42.105 | Pan_troglodytes |
ENSMFAG00000040009 | NANOS3 | 84 | 95.679 | ENSPTRG00000010568 | NANOS3 | 84 | 95.679 | Pan_troglodytes |
ENSMFAG00000040009 | NANOS3 | 100 | 97.462 | ENSPANG00000015037 | NANOS3 | 100 | 97.462 | Papio_anubis |
ENSMFAG00000040009 | NANOS3 | 78 | 43.046 | ENSPANG00000009327 | NANOS2 | 96 | 44.444 | Papio_anubis |
ENSMFAG00000040009 | NANOS3 | 75 | 44.000 | ENSPKIG00000006905 | - | 62 | 44.000 | Paramormyrops_kingsleyae |
ENSMFAG00000040009 | NANOS3 | 73 | 41.447 | ENSPKIG00000009354 | nanos3 | 77 | 41.447 | Paramormyrops_kingsleyae |
ENSMFAG00000040009 | NANOS3 | 66 | 35.156 | ENSPKIG00000006934 | - | 83 | 36.719 | Paramormyrops_kingsleyae |
ENSMFAG00000040009 | NANOS3 | 75 | 43.151 | ENSPSIG00000007082 | NANOS2 | 92 | 43.151 | Pelodiscus_sinensis |
ENSMFAG00000040009 | NANOS3 | 66 | 40.000 | ENSPMGG00000023681 | nanos2 | 70 | 40.000 | Periophthalmus_magnuspinnatus |
ENSMFAG00000040009 | NANOS3 | 74 | 36.170 | ENSPMGG00000016412 | nanos3 | 90 | 36.170 | Periophthalmus_magnuspinnatus |
ENSMFAG00000040009 | NANOS3 | 78 | 40.667 | ENSPEMG00000014999 | Nanos2 | 96 | 40.667 | Peromyscus_maniculatus_bairdii |
ENSMFAG00000040009 | NANOS3 | 66 | 35.115 | ENSPFOG00000020721 | NANOS2 | 82 | 35.115 | Poecilia_formosa |
ENSMFAG00000040009 | NANOS3 | 66 | 36.719 | ENSPLAG00000007786 | NANOS2 | 83 | 35.156 | Poecilia_latipinna |
ENSMFAG00000040009 | NANOS3 | 73 | 36.898 | ENSPMEG00000014135 | nanos3 | 91 | 39.362 | Poecilia_mexicana |
ENSMFAG00000040009 | NANOS3 | 67 | 36.154 | ENSPMEG00000005681 | NANOS2 | 82 | 36.154 | Poecilia_mexicana |
ENSMFAG00000040009 | NANOS3 | 66 | 34.884 | ENSPREG00000020465 | nanos2 | 83 | 34.884 | Poecilia_reticulata |
ENSMFAG00000040009 | NANOS3 | 84 | 91.667 | ENSPPYG00000009627 | NANOS3 | 84 | 91.667 | Pongo_abelii |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSPPYG00000010138 | NANOS2 | 96 | 42.105 | Pongo_abelii |
ENSMFAG00000040009 | NANOS3 | 78 | 43.421 | ENSPCAG00000005087 | NANOS2 | 96 | 43.421 | Procavia_capensis |
ENSMFAG00000040009 | NANOS3 | 86 | 76.506 | ENSPCOG00000018814 | NANOS3 | 82 | 76.543 | Propithecus_coquereli |
ENSMFAG00000040009 | NANOS3 | 86 | 75.301 | ENSPVAG00000017538 | NANOS3 | 82 | 77.019 | Pteropus_vampyrus |
ENSMFAG00000040009 | NANOS3 | 78 | 43.333 | ENSPVAG00000001363 | NANOS2 | 96 | 43.333 | Pteropus_vampyrus |
ENSMFAG00000040009 | NANOS3 | 67 | 32.680 | ENSPNYG00000001325 | - | 79 | 32.680 | Pundamilia_nyererei |
ENSMFAG00000040009 | NANOS3 | 66 | 33.071 | ENSPNYG00000004545 | NANOS2 | 77 | 33.071 | Pundamilia_nyererei |
ENSMFAG00000040009 | NANOS3 | 66 | 32.278 | ENSPNAG00000017440 | nanos2 | 71 | 32.278 | Pygocentrus_nattereri |
ENSMFAG00000040009 | NANOS3 | 77 | 40.268 | ENSPNAG00000002259 | nanos3 | 79 | 41.611 | Pygocentrus_nattereri |
ENSMFAG00000040009 | NANOS3 | 98 | 66.154 | ENSRNOG00000031593 | Nanos3 | 79 | 72.050 | Rattus_norvegicus |
ENSMFAG00000040009 | NANOS3 | 78 | 40.397 | ENSRNOG00000038088 | Nanos2 | 96 | 41.060 | Rattus_norvegicus |
ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | ENSRBIG00000023726 | NANOS2 | 96 | 42.763 | Rhinopithecus_bieti |
ENSMFAG00000040009 | NANOS3 | 84 | 96.296 | ENSRBIG00000037377 | NANOS3 | 85 | 96.296 | Rhinopithecus_bieti |
ENSMFAG00000040009 | NANOS3 | 100 | 95.361 | ENSRROG00000032642 | NANOS3 | 100 | 95.361 | Rhinopithecus_roxellana |
ENSMFAG00000040009 | NANOS3 | 78 | 43.421 | ENSRROG00000014903 | NANOS2 | 96 | 43.421 | Rhinopithecus_roxellana |
ENSMFAG00000040009 | NANOS3 | 84 | 77.160 | ENSSBOG00000020970 | NANOS3 | 83 | 80.864 | Saimiri_boliviensis_boliviensis |
ENSMFAG00000040009 | NANOS3 | 78 | 50.327 | ENSSHAG00000012099 | - | 96 | 50.327 | Sarcophilus_harrisii |
ENSMFAG00000040009 | NANOS3 | 78 | 52.667 | ENSSHAG00000010756 | - | 96 | 52.667 | Sarcophilus_harrisii |
ENSMFAG00000040009 | NANOS3 | 78 | 43.046 | ENSSHAG00000017034 | NANOS2 | 96 | 43.046 | Sarcophilus_harrisii |
ENSMFAG00000040009 | NANOS3 | 73 | 44.521 | ENSSFOG00015013452 | nanos3 | 95 | 44.521 | Scleropages_formosus |
ENSMFAG00000040009 | NANOS3 | 66 | 33.846 | ENSSMAG00000013915 | nanos2 | 78 | 37.956 | Scophthalmus_maximus |
ENSMFAG00000040009 | NANOS3 | 67 | 32.692 | ENSSDUG00000007879 | - | 82 | 32.692 | Seriola_dumerili |
ENSMFAG00000040009 | NANOS3 | 65 | 38.760 | ENSSDUG00000016576 | nanos2 | 78 | 39.535 | Seriola_dumerili |
ENSMFAG00000040009 | NANOS3 | 67 | 32.692 | ENSSLDG00000021260 | - | 83 | 32.692 | Seriola_lalandi_dorsalis |
ENSMFAG00000040009 | NANOS3 | 65 | 39.535 | ENSSLDG00000013795 | nanos2 | 78 | 40.310 | Seriola_lalandi_dorsalis |
ENSMFAG00000040009 | NANOS3 | 100 | 68.528 | ENSSARG00000008966 | NANOS3 | 80 | 71.429 | Sorex_araneus |
ENSMFAG00000040009 | NANOS3 | 78 | 48.684 | ENSSPUG00000009826 | NANOS3 | 68 | 48.684 | Sphenodon_punctatus |
ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | ENSSPUG00000002566 | NANOS2 | 92 | 40.000 | Sphenodon_punctatus |
ENSMFAG00000040009 | NANOS3 | 65 | 38.519 | ENSSPAG00000003887 | nanos2 | 81 | 40.602 | Stegastes_partitus |
ENSMFAG00000040009 | NANOS3 | 83 | 76.398 | ENSSSCG00000013759 | NANOS3 | 82 | 75.926 | Sus_scrofa |
ENSMFAG00000040009 | NANOS3 | 78 | 44.079 | ENSSSCG00000003096 | NANOS2 | 96 | 44.079 | Sus_scrofa |
ENSMFAG00000040009 | NANOS3 | 67 | 34.109 | ENSTRUG00000017633 | nanos2 | 82 | 37.984 | Takifugu_rubripes |
ENSMFAG00000040009 | NANOS3 | 70 | 47.482 | ENSTNIG00000014063 | nanos3 | 91 | 47.482 | Tetraodon_nigroviridis |
ENSMFAG00000040009 | NANOS3 | 67 | 36.765 | ENSTNIG00000010543 | - | 87 | 37.037 | Tetraodon_nigroviridis |
ENSMFAG00000040009 | NANOS3 | 89 | 75.581 | ENSTBEG00000013729 | NANOS3 | 93 | 76.398 | Tupaia_belangeri |
ENSMFAG00000040009 | NANOS3 | 98 | 68.421 | ENSTTRG00000008361 | NANOS3 | 85 | 74.691 | Tursiops_truncatus |
ENSMFAG00000040009 | NANOS3 | 78 | 42.105 | ENSTTRG00000014315 | NANOS2 | 96 | 43.137 | Tursiops_truncatus |
ENSMFAG00000040009 | NANOS3 | 83 | 71.429 | ENSUAMG00000006804 | NANOS3 | 82 | 74.074 | Ursus_americanus |
ENSMFAG00000040009 | NANOS3 | 78 | 43.421 | ENSUAMG00000023170 | NANOS2 | 96 | 43.421 | Ursus_americanus |
ENSMFAG00000040009 | NANOS3 | 82 | 37.500 | ENSUMAG00000023699 | NANOS2 | 90 | 37.500 | Ursus_maritimus |
ENSMFAG00000040009 | NANOS3 | 83 | 71.429 | ENSUMAG00000004703 | NANOS3 | 79 | 74.074 | Ursus_maritimus |
ENSMFAG00000040009 | NANOS3 | 99 | 74.869 | ENSVPAG00000011497 | NANOS3 | 84 | 77.160 | Vicugna_pacos |
ENSMFAG00000040009 | NANOS3 | 78 | 43.791 | ENSVVUG00000002993 | NANOS2 | 97 | 43.791 | Vulpes_vulpes |
ENSMFAG00000040009 | NANOS3 | 84 | 70.370 | ENSVVUG00000026757 | NANOS3 | 83 | 74.074 | Vulpes_vulpes |
ENSMFAG00000040009 | NANOS3 | 66 | 38.281 | ENSXETG00000024565 | nanos1 | 84 | 38.281 | Xenopus_tropicalis |
ENSMFAG00000040009 | NANOS3 | 80 | 45.732 | ENSXETG00000021874 | nanos3 | 100 | 45.732 | Xenopus_tropicalis |
ENSMFAG00000040009 | NANOS3 | 77 | 37.162 | ENSXETG00000014552 | NANOS2 | 96 | 37.162 | Xenopus_tropicalis |
ENSMFAG00000040009 | NANOS3 | 74 | 35.450 | ENSXCOG00000014426 | nanos3 | 90 | 38.095 | Xiphophorus_couchianus |
ENSMFAG00000040009 | NANOS3 | 74 | 35.450 | ENSXMAG00000023751 | nanos3 | 90 | 38.095 | Xiphophorus_maculatus |
ENSMFAG00000040009 | NANOS3 | 66 | 35.606 | ENSXMAG00000020157 | - | 63 | 37.956 | Xiphophorus_maculatus |