Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSPPAP00000018090 | zf-nanos | PF05741.13 | 5.2e-25 | 1 | 1 |
ENSPPAP00000018082 | zf-nanos | PF05741.13 | 6.3e-25 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSPPAT00000040817 | NANOS3-202 | 522 | - | ENSPPAP00000018090 | 173 (aa) | - | A0A2R9AQQ2 |
ENSPPAT00000040810 | NANOS3-201 | 579 | XM_003814849 | ENSPPAP00000018082 | 192 (aa) | XP_003814897 | A0A2R9AL42 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSPPAG00000020568 | NANOS2 | 96 | 48.507 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSG00000188425 | NANOS2 | 96 | 48.507 | Homo_sapiens |
ENSPPAG00000032168 | NANOS3 | 100 | 100.000 | ENSG00000187556 | NANOS3 | 100 | 100.000 | Homo_sapiens |
ENSPPAG00000032168 | NANOS3 | 66 | 40.625 | ENSAPOG00000020274 | nanos2 | 77 | 39.062 | Acanthochromis_polyacanthus |
ENSPPAG00000032168 | NANOS3 | 64 | 46.565 | ENSAPOG00000009762 | nanos3 | 57 | 46.565 | Acanthochromis_polyacanthus |
ENSPPAG00000032168 | NANOS3 | 92 | 80.745 | ENSAMEG00000012972 | NANOS3 | 81 | 83.803 | Ailuropoda_melanoleuca |
ENSPPAG00000032168 | NANOS3 | 66 | 35.714 | ENSACIG00000007105 | nanos2 | 67 | 37.383 | Amphilophus_citrinellus |
ENSPPAG00000032168 | NANOS3 | 68 | 39.370 | ENSAOCG00000009429 | nanos2 | 75 | 42.241 | Amphiprion_ocellaris |
ENSPPAG00000032168 | NANOS3 | 67 | 45.255 | ENSAOCG00000009870 | nanos3 | 50 | 52.941 | Amphiprion_ocellaris |
ENSPPAG00000032168 | NANOS3 | 66 | 38.760 | ENSAPEG00000019139 | nanos2 | 76 | 42.149 | Amphiprion_percula |
ENSPPAG00000032168 | NANOS3 | 67 | 45.255 | ENSAPEG00000013733 | nanos3 | 50 | 52.941 | Amphiprion_percula |
ENSPPAG00000032168 | NANOS3 | 66 | 37.500 | ENSATEG00000009393 | nanos2 | 76 | 39.844 | Anabas_testudineus |
ENSPPAG00000032168 | NANOS3 | 67 | 30.645 | ENSATEG00000006118 | - | 82 | 30.645 | Anabas_testudineus |
ENSPPAG00000032168 | NANOS3 | 76 | 42.748 | ENSACAG00000022236 | - | 95 | 42.647 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 41.985 | ENSACAG00000025044 | - | 95 | 41.985 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000010268 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000025260 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000027728 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 78 | 41.333 | ENSACAG00000026350 | - | 96 | 43.165 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.424 | ENSACAG00000022790 | - | 97 | 42.424 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 43.511 | ENSACAG00000022088 | - | 95 | 43.382 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024639 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024972 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000023855 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000024218 | - | 95 | 42.446 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000023803 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 78 | 41.333 | ENSACAG00000025452 | - | 96 | 43.165 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 43.066 | ENSACAG00000025556 | - | 95 | 43.066 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 43.511 | ENSACAG00000023813 | - | 97 | 43.511 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000023650 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024364 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000027196 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000027995 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 41.985 | ENSACAG00000026334 | - | 95 | 41.912 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000025093 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 43.939 | ENSACAG00000024003 | - | 97 | 43.939 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.748 | ENSACAG00000024434 | - | 95 | 42.647 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.118 | ENSACAG00000024432 | - | 97 | 44.118 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000027212 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000026757 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | ENSACAG00000025632 | - | 97 | 44.697 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | ENSACAG00000014502 | - | 97 | 44.697 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.748 | ENSACAG00000026716 | - | 95 | 42.647 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000023823 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 41.985 | ENSACAG00000024995 | - | 95 | 41.912 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024568 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 41.985 | ENSACAG00000022322 | - | 95 | 41.985 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | ENSACAG00000022321 | - | 97 | 44.697 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000022041 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000026679 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000027265 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.853 | ENSACAG00000022207 | - | 97 | 44.853 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.748 | ENSACAG00000027983 | - | 95 | 42.748 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000021948 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000022861 | - | 97 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000025307 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.853 | ENSACAG00000023519 | - | 95 | 44.697 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000026914 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000022675 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000023391 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000027440 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000026317 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 78 | 41.333 | ENSACAG00000027568 | - | 96 | 43.165 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.361 | ENSACAG00000025505 | - | 97 | 44.361 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000026478 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000017474 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000023428 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.118 | ENSACAG00000026819 | - | 95 | 43.939 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 78 | 41.333 | ENSACAG00000024524 | - | 96 | 43.165 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | ENSACAG00000028048 | - | 97 | 44.697 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000026771 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 78 | 41.333 | ENSACAG00000005197 | - | 96 | 43.165 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024274 | - | 95 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024504 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.748 | ENSACAG00000025729 | - | 95 | 42.647 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 78 | 40.667 | ENSACAG00000026660 | - | 96 | 42.446 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.105 | ENSACAG00000022918 | - | 95 | 43.796 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000024370 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | ENSACAG00000025655 | - | 97 | 44.526 | Anolis_carolinensis |
ENSPPAG00000032168 | NANOS3 | 99 | 83.041 | ENSANAG00000025042 | NANOS3 | 83 | 90.845 | Aotus_nancymaae |
ENSPPAG00000032168 | NANOS3 | 67 | 34.014 | ENSACLG00000013474 | - | 79 | 34.932 | Astatotilapia_calliptera |
ENSPPAG00000032168 | NANOS3 | 62 | 35.185 | ENSACLG00000027005 | nanos2 | 68 | 35.185 | Astatotilapia_calliptera |
ENSPPAG00000032168 | NANOS3 | 68 | 32.099 | ENSAMXG00000030027 | NANOS1 | 82 | 33.775 | Astyanax_mexicanus |
ENSPPAG00000032168 | NANOS3 | 66 | 37.692 | ENSAMXG00000042358 | nanos2 | 76 | 38.168 | Astyanax_mexicanus |
ENSPPAG00000032168 | NANOS3 | 68 | 33.544 | ENSAMXG00000043091 | nanos1 | 83 | 35.443 | Astyanax_mexicanus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSBTAG00000047505 | NANOS2 | 96 | 50.000 | Bos_taurus |
ENSPPAG00000032168 | NANOS3 | 99 | 77.714 | ENSBTAG00000000399 | NANOS3 | 82 | 84.615 | Bos_taurus |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSCJAG00000012141 | NANOS2 | 94 | 48.507 | Callithrix_jacchus |
ENSPPAG00000032168 | NANOS3 | 83 | 84.768 | ENSCJAG00000004388 | NANOS3 | 84 | 86.755 | Callithrix_jacchus |
ENSPPAG00000032168 | NANOS3 | 83 | 82.517 | ENSCAFG00000016592 | NANOS3 | 74 | 82.517 | Canis_familiaris |
ENSPPAG00000032168 | NANOS3 | 76 | 49.645 | ENSCAFG00000024541 | NANOS2 | 97 | 50.000 | Canis_familiaris |
ENSPPAG00000032168 | NANOS3 | 83 | 82.517 | ENSCAFG00020006694 | NANOS3 | 74 | 82.517 | Canis_lupus_dingo |
ENSPPAG00000032168 | NANOS3 | 76 | 49.645 | ENSCAFG00020001772 | NANOS2 | 97 | 50.000 | Canis_lupus_dingo |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSCHIG00000012637 | NANOS2 | 96 | 50.000 | Capra_hircus |
ENSPPAG00000032168 | NANOS3 | 83 | 84.028 | ENSCHIG00000007837 | NANOS3 | 81 | 84.028 | Capra_hircus |
ENSPPAG00000032168 | NANOS3 | 82 | 82.639 | ENSTSYG00000026709 | NANOS3 | 81 | 82.639 | Carlito_syrichta |
ENSPPAG00000032168 | NANOS3 | 74 | 49.612 | ENSCAPG00000016771 | NANOS2 | 94 | 49.612 | Cavia_aperea |
ENSPPAG00000032168 | NANOS3 | 85 | 82.993 | ENSCAPG00000014339 | NANOS3 | 90 | 83.099 | Cavia_aperea |
ENSPPAG00000032168 | NANOS3 | 74 | 49.612 | ENSCPOG00000014969 | NANOS2 | 94 | 49.612 | Cavia_porcellus |
ENSPPAG00000032168 | NANOS3 | 85 | 79.739 | ENSCPOG00000020727 | NANOS3 | 81 | 79.730 | Cavia_porcellus |
ENSPPAG00000032168 | NANOS3 | 92 | 89.441 | ENSCCAG00000036253 | NANOS3 | 82 | 91.667 | Cebus_capucinus |
ENSPPAG00000032168 | NANOS3 | 76 | 47.015 | ENSCATG00000018951 | NANOS2 | 96 | 47.015 | Cercocebus_atys |
ENSPPAG00000032168 | NANOS3 | 100 | 86.224 | ENSCATG00000034885 | NANOS3 | 100 | 86.224 | Cercocebus_atys |
ENSPPAG00000032168 | NANOS3 | 75 | 48.485 | ENSCLAG00000001832 | NANOS2 | 95 | 48.485 | Chinchilla_lanigera |
ENSPPAG00000032168 | NANOS3 | 99 | 71.823 | ENSCLAG00000015139 | NANOS3 | 80 | 76.712 | Chinchilla_lanigera |
ENSPPAG00000032168 | NANOS3 | 100 | 85.859 | ENSCSAG00000006428 | NANOS3 | 100 | 85.859 | Chlorocebus_sabaeus |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSCSAG00000019629 | NANOS2 | 96 | 48.507 | Chlorocebus_sabaeus |
ENSPPAG00000032168 | NANOS3 | 76 | 45.185 | ENSCHOG00000001937 | NANOS2 | 97 | 45.185 | Choloepus_hoffmanni |
ENSPPAG00000032168 | NANOS3 | 74 | 50.725 | ENSCPBG00000023819 | NANOS3 | 92 | 50.725 | Chrysemys_picta_bellii |
ENSPPAG00000032168 | NANOS3 | 76 | 41.791 | ENSCPBG00000007141 | NANOS2 | 84 | 42.636 | Chrysemys_picta_bellii |
ENSPPAG00000032168 | NANOS3 | 83 | 96.503 | ENSCANG00000034930 | NANOS3 | 85 | 95.062 | Colobus_angolensis_palliatus |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSCANG00000012014 | NANOS2 | 96 | 48.507 | Colobus_angolensis_palliatus |
ENSPPAG00000032168 | NANOS3 | 99 | 76.437 | ENSCGRG00001023851 | Nanos3 | 81 | 82.394 | Cricetulus_griseus_chok1gshd |
ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | ENSCGRG00001013726 | Nanos2 | 96 | 44.697 | Cricetulus_griseus_chok1gshd |
ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | ENSCGRG00000019170 | Nanos2 | 96 | 44.697 | Cricetulus_griseus_crigri |
ENSPPAG00000032168 | NANOS3 | 99 | 74.719 | ENSCGRG00000017734 | Nanos3 | 79 | 82.394 | Cricetulus_griseus_crigri |
ENSPPAG00000032168 | NANOS3 | 68 | 30.851 | ENSCSEG00000004547 | - | 79 | 31.183 | Cynoglossus_semilaevis |
ENSPPAG00000032168 | NANOS3 | 67 | 39.844 | ENSCSEG00000017157 | nanos2 | 78 | 41.481 | Cynoglossus_semilaevis |
ENSPPAG00000032168 | NANOS3 | 67 | 30.323 | ENSCVAG00000019077 | - | 77 | 32.432 | Cyprinodon_variegatus |
ENSPPAG00000032168 | NANOS3 | 62 | 42.593 | ENSCVAG00000006947 | nanos2 | 77 | 42.342 | Cyprinodon_variegatus |
ENSPPAG00000032168 | NANOS3 | 67 | 36.719 | ENSDARG00000116802 | nanos2 | 83 | 40.496 | Danio_rerio |
ENSPPAG00000032168 | NANOS3 | 73 | 42.857 | ENSDARG00000068255 | nanos3 | 86 | 42.857 | Danio_rerio |
ENSPPAG00000032168 | NANOS3 | 76 | 47.445 | ENSDNOG00000044718 | NANOS2 | 97 | 47.445 | Dasypus_novemcinctus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSEASG00005014235 | NANOS2 | 96 | 50.365 | Equus_asinus_asinus |
ENSPPAG00000032168 | NANOS3 | 83 | 82.517 | ENSEASG00005015313 | NANOS3 | 85 | 82.517 | Equus_asinus_asinus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSECAG00000006033 | NANOS2 | 96 | 50.365 | Equus_caballus |
ENSPPAG00000032168 | NANOS3 | 85 | 82.313 | ENSECAG00000016293 | NANOS3 | 81 | 82.517 | Equus_caballus |
ENSPPAG00000032168 | NANOS3 | 79 | 48.344 | ENSEEUG00000009930 | NANOS2 | 97 | 49.630 | Erinaceus_europaeus |
ENSPPAG00000032168 | NANOS3 | 90 | 69.714 | ENSEEUG00000009900 | NANOS3 | 94 | 70.552 | Erinaceus_europaeus |
ENSPPAG00000032168 | NANOS3 | 66 | 40.000 | ENSELUG00000019091 | - | 76 | 41.284 | Esox_lucius |
ENSPPAG00000032168 | NANOS3 | 71 | 41.447 | ENSELUG00000016082 | nanos3 | 87 | 41.722 | Esox_lucius |
ENSPPAG00000032168 | NANOS3 | 71 | 41.333 | ENSELUG00000016582 | - | 81 | 41.333 | Esox_lucius |
ENSPPAG00000032168 | NANOS3 | 80 | 72.662 | ENSFCAG00000003717 | NANOS3 | 79 | 72.593 | Felis_catus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSFCAG00000027661 | NANOS2 | 96 | 50.746 | Felis_catus |
ENSPPAG00000032168 | NANOS3 | 75 | 46.923 | ENSFDAG00000016342 | NANOS2 | 95 | 46.923 | Fukomys_damarensis |
ENSPPAG00000032168 | NANOS3 | 84 | 77.703 | ENSFDAG00000018459 | NANOS3 | 80 | 77.181 | Fukomys_damarensis |
ENSPPAG00000032168 | NANOS3 | 72 | 37.838 | ENSFHEG00000017084 | - | 83 | 40.541 | Fundulus_heteroclitus |
ENSPPAG00000032168 | NANOS3 | 69 | 40.909 | ENSFHEG00000012835 | NANOS2 | 85 | 41.593 | Fundulus_heteroclitus |
ENSPPAG00000032168 | NANOS3 | 64 | 42.478 | ENSGMOG00000015980 | - | 96 | 42.478 | Gadus_morhua |
ENSPPAG00000032168 | NANOS3 | 67 | 32.192 | ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | Gambusia_affinis |
ENSPPAG00000032168 | NANOS3 | 66 | 38.095 | ENSGAFG00000006000 | - | 66 | 42.056 | Gambusia_affinis |
ENSPPAG00000032168 | NANOS3 | 74 | 36.170 | ENSGAFG00000010617 | nanos3 | 90 | 38.298 | Gambusia_affinis |
ENSPPAG00000032168 | NANOS3 | 74 | 42.384 | ENSGACG00000019003 | nanos3 | 89 | 42.857 | Gasterosteus_aculeatus |
ENSPPAG00000032168 | NANOS3 | 64 | 42.857 | ENSGACG00000004930 | - | 96 | 43.243 | Gasterosteus_aculeatus |
ENSPPAG00000032168 | NANOS3 | 100 | 45.856 | ENSGAGG00000005591 | - | 77 | 51.079 | Gopherus_agassizii |
ENSPPAG00000032168 | NANOS3 | 84 | 42.177 | ENSGAGG00000009500 | NANOS2 | 76 | 44.882 | Gopherus_agassizii |
ENSPPAG00000032168 | NANOS3 | 76 | 47.015 | ENSGGOG00000013447 | NANOS2 | 96 | 47.015 | Gorilla_gorilla |
ENSPPAG00000032168 | NANOS3 | 100 | 96.465 | ENSGGOG00000000964 | NANOS3 | 100 | 96.465 | Gorilla_gorilla |
ENSPPAG00000032168 | NANOS3 | 66 | 33.846 | ENSHBUG00000016772 | nanos2 | 78 | 35.385 | Haplochromis_burtoni |
ENSPPAG00000032168 | NANOS3 | 67 | 34.694 | ENSHBUG00000019798 | - | 79 | 34.932 | Haplochromis_burtoni |
ENSPPAG00000032168 | NANOS3 | 99 | 70.526 | ENSHGLG00000019378 | NANOS3 | 78 | 79.866 | Heterocephalus_glaber_female |
ENSPPAG00000032168 | NANOS3 | 99 | 70.526 | ENSHGLG00100012652 | NANOS3 | 78 | 79.866 | Heterocephalus_glaber_male |
ENSPPAG00000032168 | NANOS3 | 73 | 40.000 | ENSHCOG00000014790 | nanos3 | 80 | 40.000 | Hippocampus_comes |
ENSPPAG00000032168 | NANOS3 | 68 | 32.298 | ENSHCOG00000011423 | - | 80 | 32.298 | Hippocampus_comes |
ENSPPAG00000032168 | NANOS3 | 68 | 35.294 | ENSHCOG00000010326 | NANOS1 | 80 | 35.294 | Hippocampus_comes |
ENSPPAG00000032168 | NANOS3 | 73 | 42.857 | ENSIPUG00000007200 | - | 86 | 42.857 | Ictalurus_punctatus |
ENSPPAG00000032168 | NANOS3 | 74 | 41.104 | ENSIPUG00000008857 | nanos3 | 88 | 41.718 | Ictalurus_punctatus |
ENSPPAG00000032168 | NANOS3 | 74 | 40.000 | ENSIPUG00000024113 | nanos2 | 86 | 40.714 | Ictalurus_punctatus |
ENSPPAG00000032168 | NANOS3 | 68 | 44.961 | ENSIPUG00000012246 | - | 70 | 44.961 | Ictalurus_punctatus |
ENSPPAG00000032168 | NANOS3 | 82 | 85.211 | ENSSTOG00000024797 | NANOS3 | 79 | 84.615 | Ictidomys_tridecemlineatus |
ENSPPAG00000032168 | NANOS3 | 76 | 46.565 | ENSSTOG00000021724 | NANOS2 | 96 | 46.565 | Ictidomys_tridecemlineatus |
ENSPPAG00000032168 | NANOS3 | 85 | 73.333 | ENSJJAG00000000545 | Nanos3 | 79 | 75.862 | Jaculus_jaculus |
ENSPPAG00000032168 | NANOS3 | 66 | 39.844 | ENSLBEG00000018836 | nanos2 | 81 | 40.650 | Labrus_bergylta |
ENSPPAG00000032168 | NANOS3 | 78 | 30.387 | ENSLBEG00000027516 | - | 93 | 31.429 | Labrus_bergylta |
ENSPPAG00000032168 | NANOS3 | 78 | 32.642 | ENSLACG00000015195 | NANOS1 | 91 | 32.642 | Latimeria_chalumnae |
ENSPPAG00000032168 | NANOS3 | 75 | 38.125 | ENSLACG00000014980 | - | 89 | 38.125 | Latimeria_chalumnae |
ENSPPAG00000032168 | NANOS3 | 77 | 44.295 | ENSLACG00000013286 | NANOS3 | 92 | 45.324 | Latimeria_chalumnae |
ENSPPAG00000032168 | NANOS3 | 92 | 80.606 | ENSLAFG00000008480 | NANOS3 | 79 | 83.217 | Loxodonta_africana |
ENSPPAG00000032168 | NANOS3 | 76 | 47.445 | ENSLAFG00000014090 | NANOS2 | 96 | 47.445 | Loxodonta_africana |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSMFAG00000017215 | NANOS2 | 96 | 48.507 | Macaca_fascicularis |
ENSPPAG00000032168 | NANOS3 | 100 | 87.565 | ENSMFAG00000040009 | NANOS3 | 100 | 87.565 | Macaca_fascicularis |
ENSPPAG00000032168 | NANOS3 | 100 | 86.598 | ENSMMUG00000008316 | NANOS3 | 100 | 86.598 | Macaca_mulatta |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSMMUG00000008103 | NANOS2 | 96 | 48.507 | Macaca_mulatta |
ENSPPAG00000032168 | NANOS3 | 100 | 88.021 | ENSMNEG00000028898 | NANOS3 | 100 | 88.021 | Macaca_nemestrina |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSMNEG00000004633 | NANOS2 | 96 | 48.507 | Macaca_nemestrina |
ENSPPAG00000032168 | NANOS3 | 100 | 95.480 | ENSMLEG00000033135 | NANOS3 | 100 | 95.480 | Mandrillus_leucophaeus |
ENSPPAG00000032168 | NANOS3 | 76 | 47.015 | ENSMLEG00000001810 | NANOS2 | 96 | 47.015 | Mandrillus_leucophaeus |
ENSPPAG00000032168 | NANOS3 | 68 | 37.692 | ENSMAMG00000005577 | NANOS2 | 78 | 38.983 | Mastacembelus_armatus |
ENSPPAG00000032168 | NANOS3 | 67 | 34.211 | ENSMAMG00000015477 | - | 81 | 34.211 | Mastacembelus_armatus |
ENSPPAG00000032168 | NANOS3 | 66 | 31.538 | ENSMZEG00005024641 | - | 78 | 33.077 | Maylandia_zebra |
ENSPPAG00000032168 | NANOS3 | 66 | 32.308 | ENSMZEG00005003043 | - | 78 | 33.846 | Maylandia_zebra |
ENSPPAG00000032168 | NANOS3 | 67 | 34.694 | ENSMZEG00005002722 | - | 79 | 34.932 | Maylandia_zebra |
ENSPPAG00000032168 | NANOS3 | 66 | 34.783 | ENSMZEG00005021987 | - | 78 | 34.615 | Maylandia_zebra |
ENSPPAG00000032168 | NANOS3 | 66 | 32.308 | ENSMZEG00005028154 | - | 78 | 33.846 | Maylandia_zebra |
ENSPPAG00000032168 | NANOS3 | 66 | 31.538 | ENSMZEG00005028148 | - | 78 | 33.077 | Maylandia_zebra |
ENSPPAG00000032168 | NANOS3 | 99 | 73.596 | ENSMAUG00000008396 | Nanos3 | 79 | 80.986 | Mesocricetus_auratus |
ENSPPAG00000032168 | NANOS3 | 100 | 81.143 | ENSMICG00000030950 | NANOS3 | 82 | 86.713 | Microcebus_murinus |
ENSPPAG00000032168 | NANOS3 | 93 | 77.640 | ENSMOCG00000000059 | Nanos3 | 80 | 82.394 | Microtus_ochrogaster |
ENSPPAG00000032168 | NANOS3 | 76 | 43.511 | ENSMOCG00000001985 | Nanos2 | 96 | 43.511 | Microtus_ochrogaster |
ENSPPAG00000032168 | NANOS3 | 67 | 33.548 | ENSMMOG00000003796 | - | 79 | 34.247 | Mola_mola |
ENSPPAG00000032168 | NANOS3 | 67 | 40.000 | ENSMMOG00000009827 | nanos2 | 80 | 40.000 | Mola_mola |
ENSPPAG00000032168 | NANOS3 | 76 | 57.252 | ENSMODG00000023964 | - | 96 | 57.252 | Monodelphis_domestica |
ENSPPAG00000032168 | NANOS3 | 64 | 37.838 | ENSMALG00000006299 | nanos2 | 71 | 37.838 | Monopterus_albus |
ENSPPAG00000032168 | NANOS3 | 74 | 43.243 | ENSMALG00000005945 | nanos3 | 84 | 43.796 | Monopterus_albus |
ENSPPAG00000032168 | NANOS3 | 67 | 31.183 | ENSMALG00000015460 | - | 79 | 31.183 | Monopterus_albus |
ENSPPAG00000032168 | NANOS3 | 70 | 43.802 | ENSMALG00000011545 | - | 66 | 43.802 | Monopterus_albus |
ENSPPAG00000032168 | NANOS3 | 76 | 44.361 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 44.361 | Mus_caroli |
ENSPPAG00000032168 | NANOS3 | 99 | 73.184 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 79 | 80.986 | Mus_caroli |
ENSPPAG00000032168 | NANOS3 | 99 | 73.714 | ENSMUSG00000056155 | Nanos3 | 81 | 80.986 | Mus_musculus |
ENSPPAG00000032168 | NANOS3 | 76 | 44.776 | ENSMUSG00000051965 | Nanos2 | 96 | 44.776 | Mus_musculus |
ENSPPAG00000032168 | NANOS3 | 99 | 71.508 | MGP_PahariEiJ_G0022902 | Nanos3 | 79 | 80.986 | Mus_pahari |
ENSPPAG00000032168 | NANOS3 | 76 | 44.361 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 44.361 | Mus_pahari |
ENSPPAG00000032168 | NANOS3 | 76 | 43.609 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 43.609 | Mus_spretus |
ENSPPAG00000032168 | NANOS3 | 99 | 73.596 | MGP_SPRETEiJ_G0032414 | Nanos3 | 79 | 80.986 | Mus_spretus |
ENSPPAG00000032168 | NANOS3 | 93 | 78.659 | ENSMPUG00000003282 | NANOS3 | 80 | 85.915 | Mustela_putorius_furo |
ENSPPAG00000032168 | NANOS3 | 76 | 49.254 | ENSMPUG00000019371 | NANOS2 | 96 | 49.635 | Mustela_putorius_furo |
ENSPPAG00000032168 | NANOS3 | 85 | 83.673 | ENSMLUG00000012971 | NANOS3 | 82 | 83.916 | Myotis_lucifugus |
ENSPPAG00000032168 | NANOS3 | 67 | 36.986 | ENSNGAG00000023539 | Nanos1 | 72 | 36.986 | Nannospalax_galili |
ENSPPAG00000032168 | NANOS3 | 99 | 72.222 | ENSNGAG00000020486 | Nanos3 | 79 | 79.861 | Nannospalax_galili |
ENSPPAG00000032168 | NANOS3 | 75 | 35.385 | ENSNBRG00000018838 | NANOS2 | 79 | 35.385 | Neolamprologus_brichardi |
ENSPPAG00000032168 | NANOS3 | 67 | 34.694 | ENSNBRG00000014018 | - | 79 | 34.932 | Neolamprologus_brichardi |
ENSPPAG00000032168 | NANOS3 | 100 | 98.276 | ENSNLEG00000034574 | NANOS3 | 100 | 98.276 | Nomascus_leucogenys |
ENSPPAG00000032168 | NANOS3 | 78 | 43.333 | ENSOPRG00000010043 | NANOS2 | 96 | 47.482 | Ochotona_princeps |
ENSPPAG00000032168 | NANOS3 | 82 | 69.565 | ENSOPRG00000007211 | - | 81 | 69.565 | Ochotona_princeps |
ENSPPAG00000032168 | NANOS3 | 85 | 81.208 | ENSODEG00000008907 | NANOS3 | 78 | 81.379 | Octodon_degus |
ENSPPAG00000032168 | NANOS3 | 73 | 33.566 | ENSONIG00000005777 | nanos2 | 86 | 34.965 | Oreochromis_niloticus |
ENSPPAG00000032168 | NANOS3 | 78 | 52.667 | ENSOANG00000013042 | - | 96 | 53.846 | Ornithorhynchus_anatinus |
ENSPPAG00000032168 | NANOS3 | 89 | 71.687 | ENSOCUG00000014802 | NANOS3 | 83 | 75.000 | Oryctolagus_cuniculus |
ENSPPAG00000032168 | NANOS3 | 76 | 47.407 | ENSOCUG00000023755 | NANOS2 | 96 | 47.407 | Oryctolagus_cuniculus |
ENSPPAG00000032168 | NANOS3 | 66 | 37.795 | ENSORLG00000009335 | nanos2 | 76 | 41.406 | Oryzias_latipes |
ENSPPAG00000032168 | NANOS3 | 73 | 37.363 | ENSORLG00000012018 | nanos3 | 91 | 37.363 | Oryzias_latipes |
ENSPPAG00000032168 | NANOS3 | 67 | 33.333 | ENSORLG00000027849 | nanos1a | 83 | 33.333 | Oryzias_latipes |
ENSPPAG00000032168 | NANOS3 | 66 | 38.095 | ENSORLG00020013284 | nanos2 | 76 | 41.406 | Oryzias_latipes_hni |
ENSPPAG00000032168 | NANOS3 | 73 | 37.363 | ENSORLG00020004967 | nanos3 | 91 | 37.363 | Oryzias_latipes_hni |
ENSPPAG00000032168 | NANOS3 | 67 | 33.333 | ENSORLG00020008713 | - | 83 | 33.333 | Oryzias_latipes_hni |
ENSPPAG00000032168 | NANOS3 | 67 | 31.892 | ENSORLG00020022492 | nanos1b | 91 | 30.244 | Oryzias_latipes_hni |
ENSPPAG00000032168 | NANOS3 | 73 | 37.079 | ENSORLG00015003631 | nanos3 | 90 | 36.517 | Oryzias_latipes_hsok |
ENSPPAG00000032168 | NANOS3 | 67 | 31.892 | ENSORLG00015021513 | - | 91 | 30.244 | Oryzias_latipes_hsok |
ENSPPAG00000032168 | NANOS3 | 67 | 33.333 | ENSORLG00015000175 | - | 83 | 34.568 | Oryzias_latipes_hsok |
ENSPPAG00000032168 | NANOS3 | 66 | 38.889 | ENSORLG00015013150 | nanos2 | 76 | 39.844 | Oryzias_latipes_hsok |
ENSPPAG00000032168 | NANOS3 | 67 | 35.484 | ENSOMEG00000008866 | NANOS1 | 84 | 34.194 | Oryzias_melastigma |
ENSPPAG00000032168 | NANOS3 | 73 | 36.458 | ENSOMEG00000000922 | nanos3 | 91 | 36.458 | Oryzias_melastigma |
ENSPPAG00000032168 | NANOS3 | 78 | 30.732 | ENSOMEG00000003107 | - | 88 | 30.732 | Oryzias_melastigma |
ENSPPAG00000032168 | NANOS3 | 67 | 37.984 | ENSOMEG00000006512 | nanos2 | 79 | 41.803 | Oryzias_melastigma |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | Otolemur_garnettii |
ENSPPAG00000032168 | NANOS3 | 100 | 82.386 | ENSOGAG00000007190 | NANOS3 | 81 | 85.315 | Otolemur_garnettii |
ENSPPAG00000032168 | NANOS3 | 83 | 83.333 | ENSOARG00000008043 | NANOS3 | 79 | 83.333 | Ovis_aries |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSOARG00000011467 | NANOS2 | 96 | 50.000 | Ovis_aries |
ENSPPAG00000032168 | NANOS3 | 85 | 81.633 | ENSPPRG00000009573 | NANOS3 | 82 | 81.818 | Panthera_pardus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSPPRG00000015211 | NANOS2 | 96 | 50.746 | Panthera_pardus |
ENSPPAG00000032168 | NANOS3 | 85 | 81.633 | ENSPTIG00000000325 | NANOS3 | 82 | 81.818 | Panthera_tigris_altaica |
ENSPPAG00000032168 | NANOS3 | 68 | 50.000 | ENSPTIG00000015372 | NANOS2 | 86 | 50.833 | Panthera_tigris_altaica |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSPTRG00000011172 | NANOS2 | 96 | 48.507 | Pan_troglodytes |
ENSPPAG00000032168 | NANOS3 | 100 | 100.000 | ENSPTRG00000010568 | NANOS3 | 100 | 100.000 | Pan_troglodytes |
ENSPPAG00000032168 | NANOS3 | 100 | 85.787 | ENSPANG00000015037 | NANOS3 | 100 | 85.787 | Papio_anubis |
ENSPPAG00000032168 | NANOS3 | 76 | 46.269 | ENSPANG00000009327 | NANOS2 | 96 | 47.761 | Papio_anubis |
ENSPPAG00000032168 | NANOS3 | 74 | 50.376 | ENSPKIG00000006905 | - | 62 | 50.382 | Paramormyrops_kingsleyae |
ENSPPAG00000032168 | NANOS3 | 67 | 36.719 | ENSPKIG00000006934 | - | 83 | 38.525 | Paramormyrops_kingsleyae |
ENSPPAG00000032168 | NANOS3 | 73 | 41.447 | ENSPKIG00000009354 | nanos3 | 77 | 41.447 | Paramormyrops_kingsleyae |
ENSPPAG00000032168 | NANOS3 | 73 | 46.512 | ENSPSIG00000007082 | NANOS2 | 92 | 46.512 | Pelodiscus_sinensis |
ENSPPAG00000032168 | NANOS3 | 66 | 40.157 | ENSPMGG00000023681 | nanos2 | 70 | 42.735 | Periophthalmus_magnuspinnatus |
ENSPPAG00000032168 | NANOS3 | 74 | 34.574 | ENSPMGG00000016412 | nanos3 | 90 | 34.574 | Periophthalmus_magnuspinnatus |
ENSPPAG00000032168 | NANOS3 | 76 | 45.865 | ENSPEMG00000014999 | Nanos2 | 96 | 45.865 | Peromyscus_maniculatus_bairdii |
ENSPPAG00000032168 | NANOS3 | 66 | 36.170 | ENSPFOG00000020721 | NANOS2 | 82 | 35.821 | Poecilia_formosa |
ENSPPAG00000032168 | NANOS3 | 63 | 43.119 | ENSPLAG00000007786 | NANOS2 | 83 | 43.119 | Poecilia_latipinna |
ENSPPAG00000032168 | NANOS3 | 64 | 42.342 | ENSPMEG00000005681 | NANOS2 | 82 | 42.342 | Poecilia_mexicana |
ENSPPAG00000032168 | NANOS3 | 74 | 37.234 | ENSPREG00000000425 | nanos3 | 90 | 37.234 | Poecilia_reticulata |
ENSPPAG00000032168 | NANOS3 | 63 | 43.119 | ENSPREG00000020465 | nanos2 | 83 | 43.119 | Poecilia_reticulata |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | Pongo_abelii |
ENSPPAG00000032168 | NANOS3 | 100 | 84.925 | ENSPPYG00000009627 | NANOS3 | 100 | 84.925 | Pongo_abelii |
ENSPPAG00000032168 | NANOS3 | 76 | 49.254 | ENSPCAG00000005087 | NANOS2 | 96 | 49.254 | Procavia_capensis |
ENSPPAG00000032168 | NANOS3 | 85 | 85.714 | ENSPCOG00000018814 | NANOS3 | 82 | 86.014 | Propithecus_coquereli |
ENSPPAG00000032168 | NANOS3 | 76 | 49.254 | ENSPVAG00000001363 | NANOS2 | 96 | 50.000 | Pteropus_vampyrus |
ENSPPAG00000032168 | NANOS3 | 85 | 85.811 | ENSPVAG00000017538 | NANOS3 | 82 | 85.417 | Pteropus_vampyrus |
ENSPPAG00000032168 | NANOS3 | 62 | 37.037 | ENSPNYG00000004545 | NANOS2 | 77 | 37.037 | Pundamilia_nyererei |
ENSPPAG00000032168 | NANOS3 | 67 | 34.694 | ENSPNYG00000001325 | - | 79 | 34.932 | Pundamilia_nyererei |
ENSPPAG00000032168 | NANOS3 | 66 | 33.766 | ENSPNAG00000017440 | nanos2 | 71 | 33.117 | Pygocentrus_nattereri |
ENSPPAG00000032168 | NANOS3 | 75 | 44.853 | ENSPNAG00000002259 | nanos3 | 79 | 44.853 | Pygocentrus_nattereri |
ENSPPAG00000032168 | NANOS3 | 99 | 73.596 | ENSRNOG00000031593 | Nanos3 | 79 | 80.986 | Rattus_norvegicus |
ENSPPAG00000032168 | NANOS3 | 76 | 45.522 | ENSRNOG00000038088 | Nanos2 | 96 | 45.522 | Rattus_norvegicus |
ENSPPAG00000032168 | NANOS3 | 84 | 95.679 | ENSRBIG00000037377 | NANOS3 | 85 | 95.679 | Rhinopithecus_bieti |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSRBIG00000023726 | NANOS2 | 96 | 48.507 | Rhinopithecus_bieti |
ENSPPAG00000032168 | NANOS3 | 100 | 87.565 | ENSRROG00000032642 | NANOS3 | 100 | 87.565 | Rhinopithecus_roxellana |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSRROG00000014903 | NANOS2 | 96 | 50.000 | Rhinopithecus_roxellana |
ENSPPAG00000032168 | NANOS3 | 83 | 82.781 | ENSSBOG00000020970 | NANOS3 | 83 | 84.768 | Saimiri_boliviensis_boliviensis |
ENSPPAG00000032168 | NANOS3 | 76 | 59.701 | ENSSHAG00000010756 | - | 96 | 59.701 | Sarcophilus_harrisii |
ENSPPAG00000032168 | NANOS3 | 76 | 47.368 | ENSSHAG00000017034 | NANOS2 | 96 | 47.368 | Sarcophilus_harrisii |
ENSPPAG00000032168 | NANOS3 | 76 | 58.955 | ENSSHAG00000012099 | - | 96 | 58.955 | Sarcophilus_harrisii |
ENSPPAG00000032168 | NANOS3 | 62 | 39.252 | ENSSFOG00015007586 | - | 75 | 39.252 | Scleropages_formosus |
ENSPPAG00000032168 | NANOS3 | 73 | 43.836 | ENSSFOG00015013452 | nanos3 | 95 | 43.836 | Scleropages_formosus |
ENSPPAG00000032168 | NANOS3 | 66 | 34.615 | ENSSMAG00000013915 | nanos2 | 78 | 38.346 | Scophthalmus_maximus |
ENSPPAG00000032168 | NANOS3 | 67 | 34.211 | ENSSDUG00000007879 | - | 82 | 34.211 | Seriola_dumerili |
ENSPPAG00000032168 | NANOS3 | 66 | 37.209 | ENSSDUG00000016576 | nanos2 | 78 | 39.062 | Seriola_dumerili |
ENSPPAG00000032168 | NANOS3 | 67 | 34.211 | ENSSLDG00000021260 | - | 83 | 34.211 | Seriola_lalandi_dorsalis |
ENSPPAG00000032168 | NANOS3 | 66 | 37.984 | ENSSLDG00000013795 | nanos2 | 78 | 40.310 | Seriola_lalandi_dorsalis |
ENSPPAG00000032168 | NANOS3 | 100 | 75.281 | ENSSARG00000008966 | NANOS3 | 80 | 79.577 | Sorex_araneus |
ENSPPAG00000032168 | NANOS3 | 76 | 54.412 | ENSSPUG00000009826 | NANOS3 | 68 | 54.412 | Sphenodon_punctatus |
ENSPPAG00000032168 | NANOS3 | 76 | 42.963 | ENSSPUG00000002566 | NANOS2 | 92 | 42.963 | Sphenodon_punctatus |
ENSPPAG00000032168 | NANOS3 | 66 | 38.519 | ENSSPAG00000003887 | nanos2 | 81 | 38.583 | Stegastes_partitus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.746 | ENSSSCG00000003096 | NANOS2 | 96 | 50.746 | Sus_scrofa |
ENSPPAG00000032168 | NANOS3 | 82 | 85.915 | ENSSSCG00000013759 | NANOS3 | 82 | 85.315 | Sus_scrofa |
ENSPPAG00000032168 | NANOS3 | 64 | 40.000 | ENSTRUG00000017633 | nanos2 | 82 | 44.545 | Takifugu_rubripes |
ENSPPAG00000032168 | NANOS3 | 71 | 45.070 | ENSTNIG00000014063 | nanos3 | 91 | 48.062 | Tetraodon_nigroviridis |
ENSPPAG00000032168 | NANOS3 | 64 | 41.525 | ENSTNIG00000010543 | - | 87 | 41.525 | Tetraodon_nigroviridis |
ENSPPAG00000032168 | NANOS3 | 88 | 85.621 | ENSTBEG00000013729 | NANOS3 | 93 | 86.620 | Tupaia_belangeri |
ENSPPAG00000032168 | NANOS3 | 99 | 79.070 | ENSTTRG00000008361 | NANOS3 | 85 | 83.916 | Tursiops_truncatus |
ENSPPAG00000032168 | NANOS3 | 76 | 50.000 | ENSTTRG00000014315 | NANOS2 | 96 | 50.000 | Tursiops_truncatus |
ENSPPAG00000032168 | NANOS3 | 82 | 83.803 | ENSUAMG00000006804 | NANOS3 | 82 | 84.028 | Ursus_americanus |
ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | ENSUAMG00000023170 | NANOS2 | 96 | 50.000 | Ursus_americanus |
ENSPPAG00000032168 | NANOS3 | 82 | 83.803 | ENSUMAG00000004703 | NANOS3 | 79 | 84.028 | Ursus_maritimus |
ENSPPAG00000032168 | NANOS3 | 80 | 41.549 | ENSUMAG00000023699 | NANOS2 | 90 | 42.958 | Ursus_maritimus |
ENSPPAG00000032168 | NANOS3 | 99 | 83.140 | ENSVPAG00000011497 | NANOS3 | 84 | 86.713 | Vicugna_pacos |
ENSPPAG00000032168 | NANOS3 | 83 | 83.217 | ENSVVUG00000026757 | NANOS3 | 83 | 83.217 | Vulpes_vulpes |
ENSPPAG00000032168 | NANOS3 | 76 | 51.111 | ENSVVUG00000002993 | NANOS2 | 97 | 51.111 | Vulpes_vulpes |
ENSPPAG00000032168 | NANOS3 | 62 | 44.737 | ENSXETG00000024565 | nanos1 | 84 | 44.737 | Xenopus_tropicalis |
ENSPPAG00000032168 | NANOS3 | 79 | 50.000 | ENSXETG00000021874 | nanos3 | 100 | 50.000 | Xenopus_tropicalis |
ENSPPAG00000032168 | NANOS3 | 75 | 40.146 | ENSXETG00000014552 | NANOS2 | 96 | 40.146 | Xenopus_tropicalis |
ENSPPAG00000032168 | NANOS3 | 74 | 35.450 | ENSXCOG00000014426 | nanos3 | 90 | 37.566 | Xiphophorus_couchianus |
ENSPPAG00000032168 | NANOS3 | 74 | 35.450 | ENSXMAG00000023751 | nanos3 | 90 | 37.566 | Xiphophorus_maculatus |
ENSPPAG00000032168 | NANOS3 | 66 | 36.641 | ENSXMAG00000020157 | - | 63 | 37.956 | Xiphophorus_maculatus |