Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSPPYP00000011338 | zf-nanos | PF05741.13 | 7.5e-27 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSPPYT00000011779 | NANOS2-201 | 417 | - | ENSPPYP00000011338 | 138 (aa) | XP_002829477 | H2NZA3 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSPPYG00000010138 | NANOS2 | 96 | 42.949 | ENSPPYG00000009627 | NANOS3 | 78 | 40.506 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSPPYG00000010138 | NANOS2 | 100 | 99.275 | ENSG00000188425 | NANOS2 | 100 | 99.275 | Homo_sapiens |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSG00000187556 | NANOS3 | 76 | 48.507 | Homo_sapiens |
ENSPPYG00000010138 | NANOS2 | 84 | 40.000 | ENSAPOG00000020274 | nanos2 | 80 | 38.519 | Acanthochromis_polyacanthus |
ENSPPYG00000010138 | NANOS2 | 96 | 49.254 | ENSAMEG00000012972 | NANOS3 | 75 | 49.254 | Ailuropoda_melanoleuca |
ENSPPYG00000010138 | NANOS2 | 96 | 44.030 | ENSACIG00000007105 | nanos2 | 82 | 43.284 | Amphilophus_citrinellus |
ENSPPYG00000010138 | NANOS2 | 80 | 44.444 | ENSAOCG00000009429 | nanos2 | 75 | 43.590 | Amphiprion_ocellaris |
ENSPPYG00000010138 | NANOS2 | 80 | 42.623 | ENSAPEG00000019139 | nanos2 | 76 | 41.803 | Amphiprion_percula |
ENSPPYG00000010138 | NANOS2 | 84 | 39.535 | ENSATEG00000009393 | nanos2 | 84 | 38.095 | Anabas_testudineus |
ENSPPYG00000010138 | NANOS2 | 96 | 53.676 | ENSACAG00000025505 | - | 97 | 53.237 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.714 | ENSACAG00000024995 | - | 100 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000017474 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000023650 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000027995 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | ENSACAG00000024434 | - | 100 | 52.482 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.880 | ENSACAG00000024432 | - | 97 | 51.880 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | ENSACAG00000022088 | - | 100 | 53.191 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 48.936 | ENSACAG00000024218 | - | 100 | 49.324 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | ENSACAG00000027983 | - | 100 | 53.191 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 53.383 | ENSACAG00000022207 | - | 97 | 53.383 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 99 | 50.714 | ENSACAG00000022918 | - | 99 | 51.020 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000024639 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.429 | ENSACAG00000025044 | - | 100 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 49.645 | ENSACAG00000023774 | - | 100 | 50.000 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 52.632 | ENSACAG00000025632 | - | 97 | 52.632 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 53.571 | ENSACAG00000026819 | - | 100 | 54.286 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000025307 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000024568 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 48.872 | ENSACAG00000022790 | - | 97 | 48.872 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000024370 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000026757 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000010268 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000027196 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000025093 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000023391 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 97 | 51.852 | ENSACAG00000027568 | - | 97 | 52.817 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000024364 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000026771 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000023803 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.714 | ENSACAG00000022236 | - | 100 | 52.482 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 97 | 51.852 | ENSACAG00000005197 | - | 97 | 52.817 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000024504 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | ENSACAG00000023519 | - | 100 | 52.143 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000026914 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 53.383 | ENSACAG00000023813 | - | 97 | 53.285 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000021948 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 55 | 49.351 | ENSACAG00000027867 | - | 95 | 49.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 97 | 51.852 | ENSACAG00000026350 | - | 97 | 52.817 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000023428 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000027728 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000023823 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000025655 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | ENSACAG00000025729 | - | 100 | 52.482 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000027212 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000024274 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.429 | ENSACAG00000022322 | - | 100 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 52.632 | ENSACAG00000022321 | - | 97 | 52.632 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 52.632 | ENSACAG00000028048 | - | 97 | 52.632 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000026478 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000027265 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 97 | 51.111 | ENSACAG00000026660 | - | 97 | 52.113 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.880 | ENSACAG00000024003 | - | 97 | 51.880 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000024972 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 50.000 | ENSACAG00000022861 | - | 97 | 50.355 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000026317 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000023855 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000026679 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 51.493 | ENSACAG00000025260 | - | 97 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 97 | 51.852 | ENSACAG00000024524 | - | 97 | 52.817 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 97 | 51.852 | ENSACAG00000025452 | - | 97 | 52.817 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000027440 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 49.655 | ENSACAG00000025556 | - | 100 | 49.315 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.429 | ENSACAG00000026334 | - | 100 | 51.773 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | ENSACAG00000022041 | - | 100 | 51.351 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | ENSACAG00000026716 | - | 100 | 53.191 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 100 | 50.355 | ENSACAG00000022675 | - | 100 | 50.676 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 52.632 | ENSACAG00000014502 | - | 97 | 52.632 | Anolis_carolinensis |
ENSPPYG00000010138 | NANOS2 | 96 | 45.833 | ENSANAG00000025042 | NANOS3 | 78 | 48.201 | Aotus_nancymaae |
ENSPPYG00000010138 | NANOS2 | 80 | 40.909 | ENSACLG00000027005 | nanos2 | 67 | 40.909 | Astatotilapia_calliptera |
ENSPPYG00000010138 | NANOS2 | 96 | 37.255 | ENSAMXG00000042358 | nanos2 | 76 | 36.154 | Astyanax_mexicanus |
ENSPPYG00000010138 | NANOS2 | 100 | 87.681 | ENSBTAG00000047505 | NANOS2 | 100 | 87.681 | Bos_taurus |
ENSPPYG00000010138 | NANOS2 | 96 | 46.324 | ENSBTAG00000000399 | NANOS3 | 76 | 46.324 | Bos_taurus |
ENSPPYG00000010138 | NANOS2 | 96 | 41.667 | ENSCJAG00000004388 | NANOS3 | 77 | 48.201 | Callithrix_jacchus |
ENSPPYG00000010138 | NANOS2 | 99 | 91.971 | ENSCJAG00000012141 | NANOS2 | 97 | 91.971 | Callithrix_jacchus |
ENSPPYG00000010138 | NANOS2 | 100 | 84.783 | ENSCAFG00000024541 | NANOS2 | 100 | 84.783 | Canis_familiaris |
ENSPPYG00000010138 | NANOS2 | 96 | 49.254 | ENSCAFG00000016592 | NANOS3 | 68 | 49.254 | Canis_familiaris |
ENSPPYG00000010138 | NANOS2 | 100 | 84.783 | ENSCAFG00020001772 | NANOS2 | 100 | 84.783 | Canis_lupus_dingo |
ENSPPYG00000010138 | NANOS2 | 96 | 49.254 | ENSCAFG00020006694 | NANOS3 | 68 | 49.254 | Canis_lupus_dingo |
ENSPPYG00000010138 | NANOS2 | 100 | 86.957 | ENSCHIG00000012637 | NANOS2 | 100 | 86.957 | Capra_hircus |
ENSPPYG00000010138 | NANOS2 | 96 | 46.324 | ENSCHIG00000007837 | NANOS3 | 74 | 46.324 | Capra_hircus |
ENSPPYG00000010138 | NANOS2 | 57 | 88.608 | ENSTSYG00000028873 | NANOS2 | 57 | 89.744 | Carlito_syrichta |
ENSPPYG00000010138 | NANOS2 | 96 | 47.059 | ENSTSYG00000026709 | NANOS3 | 75 | 46.667 | Carlito_syrichta |
ENSPPYG00000010138 | NANOS2 | 99 | 76.642 | ENSCAPG00000016771 | NANOS2 | 99 | 73.723 | Cavia_aperea |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSCAPG00000014339 | NANOS3 | 83 | 50.000 | Cavia_aperea |
ENSPPYG00000010138 | NANOS2 | 99 | 76.642 | ENSCPOG00000014969 | NANOS2 | 99 | 73.723 | Cavia_porcellus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.826 | ENSCPOG00000020727 | NANOS3 | 75 | 47.143 | Cavia_porcellus |
ENSPPYG00000010138 | NANOS2 | 96 | 42.953 | ENSCCAG00000036253 | NANOS3 | 75 | 46.269 | Cebus_capucinus |
ENSPPYG00000010138 | NANOS2 | 100 | 96.377 | ENSCATG00000018951 | NANOS2 | 100 | 96.377 | Cercocebus_atys |
ENSPPYG00000010138 | NANOS2 | 96 | 41.558 | ENSCATG00000034885 | NANOS3 | 78 | 40.523 | Cercocebus_atys |
ENSPPYG00000010138 | NANOS2 | 99 | 73.723 | ENSCLAG00000001832 | NANOS2 | 99 | 72.263 | Chinchilla_lanigera |
ENSPPYG00000010138 | NANOS2 | 96 | 46.377 | ENSCLAG00000015139 | NANOS3 | 74 | 45.714 | Chinchilla_lanigera |
ENSPPYG00000010138 | NANOS2 | 100 | 98.551 | ENSCSAG00000019629 | NANOS2 | 100 | 98.551 | Chlorocebus_sabaeus |
ENSPPYG00000010138 | NANOS2 | 96 | 40.994 | ENSCSAG00000006428 | NANOS3 | 79 | 42.038 | Chlorocebus_sabaeus |
ENSPPYG00000010138 | NANOS2 | 100 | 82.609 | ENSCHOG00000001937 | NANOS2 | 100 | 82.609 | Choloepus_hoffmanni |
ENSPPYG00000010138 | NANOS2 | 98 | 43.478 | ENSCPBG00000023819 | NANOS3 | 95 | 42.029 | Chrysemys_picta_bellii |
ENSPPYG00000010138 | NANOS2 | 55 | 48.101 | ENSCPBG00000002172 | NANOS1 | 65 | 48.101 | Chrysemys_picta_bellii |
ENSPPYG00000010138 | NANOS2 | 96 | 57.664 | ENSCPBG00000007141 | NANOS2 | 87 | 56.204 | Chrysemys_picta_bellii |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSCANG00000034930 | NANOS3 | 76 | 48.507 | Colobus_angolensis_palliatus |
ENSPPYG00000010138 | NANOS2 | 100 | 97.101 | ENSCANG00000012014 | NANOS2 | 100 | 97.101 | Colobus_angolensis_palliatus |
ENSPPYG00000010138 | NANOS2 | 100 | 72.464 | ENSCGRG00001013726 | Nanos2 | 100 | 71.739 | Cricetulus_griseus_chok1gshd |
ENSPPYG00000010138 | NANOS2 | 96 | 45.255 | ENSCGRG00001023851 | Nanos3 | 75 | 43.704 | Cricetulus_griseus_chok1gshd |
ENSPPYG00000010138 | NANOS2 | 100 | 72.464 | ENSCGRG00000019170 | Nanos2 | 100 | 71.739 | Cricetulus_griseus_crigri |
ENSPPYG00000010138 | NANOS2 | 96 | 45.255 | ENSCGRG00000017734 | Nanos3 | 73 | 43.704 | Cricetulus_griseus_crigri |
ENSPPYG00000010138 | NANOS2 | 80 | 38.281 | ENSCSEG00000017157 | nanos2 | 77 | 39.516 | Cynoglossus_semilaevis |
ENSPPYG00000010138 | NANOS2 | 80 | 47.273 | ENSCVAG00000006947 | nanos2 | 86 | 44.531 | Cyprinodon_variegatus |
ENSPPYG00000010138 | NANOS2 | 88 | 38.971 | ENSDARG00000068255 | nanos3 | 77 | 37.903 | Danio_rerio |
ENSPPYG00000010138 | NANOS2 | 80 | 36.800 | ENSDARG00000116802 | nanos2 | 82 | 39.200 | Danio_rerio |
ENSPPYG00000010138 | NANOS2 | 100 | 81.884 | ENSDNOG00000044718 | NANOS2 | 100 | 81.884 | Dasypus_novemcinctus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.101 | ENSEASG00005015313 | NANOS3 | 78 | 48.507 | Equus_asinus_asinus |
ENSPPYG00000010138 | NANOS2 | 100 | 87.681 | ENSEASG00005014235 | NANOS2 | 100 | 87.681 | Equus_asinus_asinus |
ENSPPYG00000010138 | NANOS2 | 100 | 86.957 | ENSECAG00000006033 | NANOS2 | 100 | 86.957 | Equus_caballus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.101 | ENSECAG00000016293 | NANOS3 | 74 | 48.507 | Equus_caballus |
ENSPPYG00000010138 | NANOS2 | 100 | 78.986 | ENSEEUG00000009930 | NANOS2 | 100 | 78.986 | Erinaceus_europaeus |
ENSPPYG00000010138 | NANOS2 | 96 | 46.575 | ENSEEUG00000009900 | NANOS3 | 87 | 47.260 | Erinaceus_europaeus |
ENSPPYG00000010138 | NANOS2 | 94 | 41.481 | ENSELUG00000019091 | - | 90 | 40.741 | Esox_lucius |
ENSPPYG00000010138 | NANOS2 | 62 | 50.000 | ENSFCAG00000003717 | NANOS3 | 73 | 43.750 | Felis_catus |
ENSPPYG00000010138 | NANOS2 | 100 | 86.232 | ENSFCAG00000027661 | NANOS2 | 100 | 86.232 | Felis_catus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.826 | ENSFDAG00000018459 | NANOS3 | 74 | 45.139 | Fukomys_damarensis |
ENSPPYG00000010138 | NANOS2 | 99 | 75.000 | ENSFDAG00000016342 | NANOS2 | 99 | 72.143 | Fukomys_damarensis |
ENSPPYG00000010138 | NANOS2 | 88 | 34.899 | ENSFHEG00000017084 | - | 82 | 36.301 | Fundulus_heteroclitus |
ENSPPYG00000010138 | NANOS2 | 93 | 39.394 | ENSFHEG00000012835 | NANOS2 | 85 | 44.545 | Fundulus_heteroclitus |
ENSPPYG00000010138 | NANOS2 | 81 | 41.964 | ENSGMOG00000015980 | - | 96 | 41.964 | Gadus_morhua |
ENSPPYG00000010138 | NANOS2 | 55 | 51.948 | ENSGMOG00000020465 | nanos1 | 84 | 51.948 | Gadus_morhua |
ENSPPYG00000010138 | NANOS2 | 80 | 43.636 | ENSGAFG00000006000 | - | 66 | 43.636 | Gambusia_affinis |
ENSPPYG00000010138 | NANOS2 | 55 | 57.143 | ENSGACG00000016692 | - | 84 | 57.143 | Gasterosteus_aculeatus |
ENSPPYG00000010138 | NANOS2 | 81 | 37.008 | ENSGACG00000004930 | - | 95 | 41.071 | Gasterosteus_aculeatus |
ENSPPYG00000010138 | NANOS2 | 90 | 38.406 | ENSGACG00000019003 | nanos3 | 88 | 38.406 | Gasterosteus_aculeatus |
ENSPPYG00000010138 | NANOS2 | 92 | 51.181 | ENSGAGG00000009500 | NANOS2 | 76 | 51.181 | Gopherus_agassizii |
ENSPPYG00000010138 | NANOS2 | 95 | 46.667 | ENSGAGG00000005591 | - | 73 | 45.926 | Gopherus_agassizii |
ENSPPYG00000010138 | NANOS2 | 100 | 98.551 | ENSGGOG00000013447 | NANOS2 | 100 | 98.551 | Gorilla_gorilla |
ENSPPYG00000010138 | NANOS2 | 96 | 42.949 | ENSGGOG00000000964 | NANOS3 | 79 | 43.949 | Gorilla_gorilla |
ENSPPYG00000010138 | NANOS2 | 93 | 37.584 | ENSHBUG00000016772 | nanos2 | 78 | 39.695 | Haplochromis_burtoni |
ENSPPYG00000010138 | NANOS2 | 96 | 48.551 | ENSHGLG00000019378 | NANOS3 | 71 | 47.794 | Heterocephalus_glaber_female |
ENSPPYG00000010138 | NANOS2 | 96 | 48.551 | ENSHGLG00100012652 | NANOS3 | 71 | 47.794 | Heterocephalus_glaber_male |
ENSPPYG00000010138 | NANOS2 | 93 | 37.838 | ENSHCOG00000014790 | nanos3 | 76 | 41.593 | Hippocampus_comes |
ENSPPYG00000010138 | NANOS2 | 96 | 36.184 | ENSIPUG00000007200 | - | 88 | 33.775 | Ictalurus_punctatus |
ENSPPYG00000010138 | NANOS2 | 80 | 40.800 | ENSIPUG00000012246 | - | 65 | 37.903 | Ictalurus_punctatus |
ENSPPYG00000010138 | NANOS2 | 91 | 41.958 | ENSIPUG00000024113 | nanos2 | 86 | 37.762 | Ictalurus_punctatus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.761 | ENSSTOG00000024797 | NANOS3 | 73 | 47.761 | Ictidomys_tridecemlineatus |
ENSPPYG00000010138 | NANOS2 | 100 | 77.536 | ENSSTOG00000021724 | NANOS2 | 100 | 77.536 | Ictidomys_tridecemlineatus |
ENSPPYG00000010138 | NANOS2 | 96 | 45.926 | ENSJJAG00000000545 | Nanos3 | 73 | 45.390 | Jaculus_jaculus |
ENSPPYG00000010138 | NANOS2 | 90 | 41.606 | ENSLBEG00000018836 | nanos2 | 91 | 41.727 | Labrus_bergylta |
ENSPPYG00000010138 | NANOS2 | 92 | 45.000 | ENSLACG00000014980 | - | 89 | 43.949 | Latimeria_chalumnae |
ENSPPYG00000010138 | NANOS2 | 96 | 38.406 | ENSLACG00000013286 | NANOS3 | 95 | 36.957 | Latimeria_chalumnae |
ENSPPYG00000010138 | NANOS2 | 96 | 43.243 | ENSLAFG00000008480 | NANOS3 | 73 | 45.185 | Loxodonta_africana |
ENSPPYG00000010138 | NANOS2 | 100 | 82.270 | ENSLAFG00000014090 | NANOS2 | 100 | 80.142 | Loxodonta_africana |
ENSPPYG00000010138 | NANOS2 | 96 | 42.105 | ENSMFAG00000040009 | NANOS3 | 78 | 41.447 | Macaca_fascicularis |
ENSPPYG00000010138 | NANOS2 | 100 | 97.826 | ENSMFAG00000017215 | NANOS2 | 100 | 97.826 | Macaca_fascicularis |
ENSPPYG00000010138 | NANOS2 | 100 | 97.826 | ENSMMUG00000008103 | NANOS2 | 100 | 97.826 | Macaca_mulatta |
ENSPPYG00000010138 | NANOS2 | 96 | 42.484 | ENSMMUG00000008316 | NANOS3 | 78 | 41.176 | Macaca_mulatta |
ENSPPYG00000010138 | NANOS2 | 100 | 97.826 | ENSMNEG00000004633 | NANOS2 | 100 | 97.826 | Macaca_nemestrina |
ENSPPYG00000010138 | NANOS2 | 96 | 42.105 | ENSMNEG00000028898 | NANOS3 | 78 | 41.447 | Macaca_nemestrina |
ENSPPYG00000010138 | NANOS2 | 100 | 96.377 | ENSMLEG00000001810 | NANOS2 | 100 | 96.377 | Mandrillus_leucophaeus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.794 | ENSMLEG00000033135 | NANOS3 | 75 | 47.015 | Mandrillus_leucophaeus |
ENSPPYG00000010138 | NANOS2 | 88 | 37.984 | ENSMAMG00000005577 | NANOS2 | 83 | 37.984 | Mastacembelus_armatus |
ENSPPYG00000010138 | NANOS2 | 80 | 38.931 | ENSMZEG00005003043 | - | 78 | 38.931 | Maylandia_zebra |
ENSPPYG00000010138 | NANOS2 | 80 | 38.931 | ENSMZEG00005024641 | - | 78 | 38.931 | Maylandia_zebra |
ENSPPYG00000010138 | NANOS2 | 80 | 40.458 | ENSMZEG00005021987 | - | 78 | 39.695 | Maylandia_zebra |
ENSPPYG00000010138 | NANOS2 | 80 | 38.931 | ENSMZEG00005028148 | - | 78 | 38.931 | Maylandia_zebra |
ENSPPYG00000010138 | NANOS2 | 80 | 38.931 | ENSMZEG00005028154 | - | 78 | 38.931 | Maylandia_zebra |
ENSPPYG00000010138 | NANOS2 | 96 | 44.526 | ENSMAUG00000008396 | Nanos3 | 73 | 43.704 | Mesocricetus_auratus |
ENSPPYG00000010138 | NANOS2 | 96 | 49.265 | ENSMICG00000030950 | NANOS3 | 75 | 49.265 | Microcebus_murinus |
ENSPPYG00000010138 | NANOS2 | 100 | 68.841 | ENSMOCG00000001985 | Nanos2 | 100 | 67.391 | Microtus_ochrogaster |
ENSPPYG00000010138 | NANOS2 | 96 | 42.857 | ENSMOCG00000000059 | Nanos3 | 73 | 44.030 | Microtus_ochrogaster |
ENSPPYG00000010138 | NANOS2 | 80 | 40.870 | ENSMMOG00000009827 | nanos2 | 75 | 37.903 | Mola_mola |
ENSPPYG00000010138 | NANOS2 | 99 | 46.429 | ENSMODG00000023964 | - | 98 | 45.714 | Monodelphis_domestica |
ENSPPYG00000010138 | NANOS2 | 90 | 43.750 | ENSMALG00000006299 | nanos2 | 82 | 43.750 | Monopterus_albus |
ENSPPYG00000010138 | NANOS2 | 90 | 36.620 | ENSMALG00000005945 | nanos3 | 84 | 36.232 | Monopterus_albus |
ENSPPYG00000010138 | NANOS2 | 89 | 38.281 | ENSMALG00000011545 | - | 66 | 38.281 | Monopterus_albus |
ENSPPYG00000010138 | NANOS2 | 100 | 74.638 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 73.188 | Mus_caroli |
ENSPPYG00000010138 | NANOS2 | 96 | 44.030 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 42.963 | Mus_caroli |
ENSPPYG00000010138 | NANOS2 | 96 | 44.030 | ENSMUSG00000056155 | Nanos3 | 75 | 42.963 | Mus_musculus |
ENSPPYG00000010138 | NANOS2 | 100 | 75.362 | ENSMUSG00000051965 | Nanos2 | 100 | 73.913 | Mus_musculus |
ENSPPYG00000010138 | NANOS2 | 100 | 73.913 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 72.464 | Mus_pahari |
ENSPPYG00000010138 | NANOS2 | 96 | 44.030 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 42.963 | Mus_pahari |
ENSPPYG00000010138 | NANOS2 | 100 | 74.638 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 73.188 | Mus_spretus |
ENSPPYG00000010138 | NANOS2 | 96 | 44.030 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 42.963 | Mus_spretus |
ENSPPYG00000010138 | NANOS2 | 100 | 84.058 | ENSMPUG00000019371 | NANOS2 | 100 | 84.058 | Mustela_putorius_furo |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSMPUG00000003282 | NANOS3 | 73 | 48.507 | Mustela_putorius_furo |
ENSPPYG00000010138 | NANOS2 | 96 | 48.201 | ENSMLUG00000012971 | NANOS3 | 75 | 48.201 | Myotis_lucifugus |
ENSPPYG00000010138 | NANOS2 | 96 | 44.776 | ENSNGAG00000020486 | Nanos3 | 73 | 44.776 | Nannospalax_galili |
ENSPPYG00000010138 | NANOS2 | 80 | 41.818 | ENSNBRG00000018838 | NANOS2 | 64 | 42.727 | Neolamprologus_brichardi |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSNLEG00000034574 | NANOS3 | 75 | 48.507 | Nomascus_leucogenys |
ENSPPYG00000010138 | NANOS2 | 96 | 44.000 | ENSOPRG00000007211 | - | 75 | 44.295 | Ochotona_princeps |
ENSPPYG00000010138 | NANOS2 | 100 | 71.831 | ENSOPRG00000010043 | NANOS2 | 100 | 71.831 | Ochotona_princeps |
ENSPPYG00000010138 | NANOS2 | 96 | 47.857 | ENSODEG00000008907 | NANOS3 | 71 | 46.269 | Octodon_degus |
ENSPPYG00000010138 | NANOS2 | 80 | 40.458 | ENSONIG00000005777 | nanos2 | 78 | 40.458 | Oreochromis_niloticus |
ENSPPYG00000010138 | NANOS2 | 96 | 42.466 | ENSOANG00000013042 | - | 96 | 41.096 | Ornithorhynchus_anatinus |
ENSPPYG00000010138 | NANOS2 | 52 | 57.534 | ENSOANG00000004407 | - | 55 | 46.875 | Ornithorhynchus_anatinus |
ENSPPYG00000010138 | NANOS2 | 100 | 83.453 | ENSOCUG00000023755 | NANOS2 | 100 | 83.453 | Oryctolagus_cuniculus |
ENSPPYG00000010138 | NANOS2 | 96 | 48.175 | ENSOCUG00000014802 | NANOS3 | 77 | 48.175 | Oryctolagus_cuniculus |
ENSPPYG00000010138 | NANOS2 | 80 | 43.697 | ENSORLG00000009335 | nanos2 | 76 | 42.373 | Oryzias_latipes |
ENSPPYG00000010138 | NANOS2 | 80 | 44.538 | ENSORLG00020013284 | nanos2 | 76 | 44.538 | Oryzias_latipes_hni |
ENSPPYG00000010138 | NANOS2 | 80 | 42.857 | ENSORLG00015013150 | nanos2 | 76 | 42.373 | Oryzias_latipes_hsok |
ENSPPYG00000010138 | NANOS2 | 82 | 42.742 | ENSOMEG00000006512 | nanos2 | 79 | 42.742 | Oryzias_melastigma |
ENSPPYG00000010138 | NANOS2 | 96 | 47.015 | ENSOGAG00000007190 | NANOS3 | 74 | 47.015 | Otolemur_garnettii |
ENSPPYG00000010138 | NANOS2 | 100 | 84.783 | ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | Otolemur_garnettii |
ENSPPYG00000010138 | NANOS2 | 100 | 86.957 | ENSOARG00000011467 | NANOS2 | 100 | 86.957 | Ovis_aries |
ENSPPYG00000010138 | NANOS2 | 96 | 45.588 | ENSOARG00000008043 | NANOS3 | 72 | 45.588 | Ovis_aries |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | Pan_paniscus |
ENSPPYG00000010138 | NANOS2 | 100 | 99.275 | ENSPPAG00000020568 | NANOS2 | 100 | 99.275 | Pan_paniscus |
ENSPPYG00000010138 | NANOS2 | 100 | 86.232 | ENSPPRG00000015211 | NANOS2 | 100 | 86.232 | Panthera_pardus |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSPPRG00000009573 | NANOS3 | 75 | 48.507 | Panthera_pardus |
ENSPPYG00000010138 | NANOS2 | 91 | 85.600 | ENSPTIG00000015372 | NANOS2 | 90 | 85.600 | Panthera_tigris_altaica |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSPTIG00000000325 | NANOS3 | 75 | 48.507 | Panthera_tigris_altaica |
ENSPPYG00000010138 | NANOS2 | 100 | 99.275 | ENSPTRG00000011172 | NANOS2 | 100 | 99.275 | Pan_troglodytes |
ENSPPYG00000010138 | NANOS2 | 96 | 44.000 | ENSPTRG00000010568 | NANOS3 | 78 | 43.709 | Pan_troglodytes |
ENSPPYG00000010138 | NANOS2 | 100 | 96.377 | ENSPANG00000009327 | NANOS2 | 100 | 96.377 | Papio_anubis |
ENSPPYG00000010138 | NANOS2 | 96 | 42.105 | ENSPANG00000015037 | NANOS3 | 76 | 41.447 | Papio_anubis |
ENSPPYG00000010138 | NANOS2 | 92 | 39.098 | ENSPKIG00000006905 | - | 60 | 38.462 | Paramormyrops_kingsleyae |
ENSPPYG00000010138 | NANOS2 | 90 | 32.895 | ENSPKIG00000009354 | nanos3 | 77 | 32.051 | Paramormyrops_kingsleyae |
ENSPPYG00000010138 | NANOS2 | 85 | 36.641 | ENSPKIG00000006934 | - | 86 | 38.168 | Paramormyrops_kingsleyae |
ENSPPYG00000010138 | NANOS2 | 96 | 54.135 | ENSPSIG00000007082 | NANOS2 | 96 | 53.383 | Pelodiscus_sinensis |
ENSPPYG00000010138 | NANOS2 | 55 | 48.101 | ENSPSIG00000000407 | - | 96 | 48.101 | Pelodiscus_sinensis |
ENSPPYG00000010138 | NANOS2 | 86 | 44.444 | ENSPMGG00000023681 | nanos2 | 74 | 44.444 | Periophthalmus_magnuspinnatus |
ENSPPYG00000010138 | NANOS2 | 100 | 73.188 | ENSPEMG00000014999 | Nanos2 | 100 | 72.464 | Peromyscus_maniculatus_bairdii |
ENSPPYG00000010138 | NANOS2 | 55 | 55.844 | ENSPFOG00000020533 | - | 84 | 55.844 | Poecilia_formosa |
ENSPPYG00000010138 | NANOS2 | 80 | 36.029 | ENSPFOG00000020721 | NANOS2 | 84 | 33.813 | Poecilia_formosa |
ENSPPYG00000010138 | NANOS2 | 80 | 43.636 | ENSPLAG00000007786 | NANOS2 | 81 | 42.727 | Poecilia_latipinna |
ENSPPYG00000010138 | NANOS2 | 85 | 42.735 | ENSPMEG00000005681 | NANOS2 | 80 | 42.857 | Poecilia_mexicana |
ENSPPYG00000010138 | NANOS2 | 80 | 41.818 | ENSPREG00000020465 | nanos2 | 81 | 42.727 | Poecilia_reticulata |
ENSPPYG00000010138 | NANOS2 | 100 | 78.986 | ENSPCAG00000005087 | NANOS2 | 100 | 78.986 | Procavia_capensis |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSPCOG00000018814 | NANOS3 | 75 | 48.507 | Propithecus_coquereli |
ENSPPYG00000010138 | NANOS2 | 100 | 86.232 | ENSPVAG00000001363 | NANOS2 | 100 | 86.232 | Pteropus_vampyrus |
ENSPPYG00000010138 | NANOS2 | 96 | 48.507 | ENSPVAG00000017538 | NANOS3 | 75 | 48.507 | Pteropus_vampyrus |
ENSPPYG00000010138 | NANOS2 | 80 | 44.545 | ENSPNYG00000004545 | NANOS2 | 76 | 44.545 | Pundamilia_nyererei |
ENSPPYG00000010138 | NANOS2 | 95 | 39.552 | ENSPNAG00000002259 | nanos3 | 78 | 40.000 | Pygocentrus_nattereri |
ENSPPYG00000010138 | NANOS2 | 100 | 73.913 | ENSRNOG00000038088 | Nanos2 | 100 | 71.739 | Rattus_norvegicus |
ENSPPYG00000010138 | NANOS2 | 96 | 44.030 | ENSRNOG00000031593 | Nanos3 | 73 | 44.030 | Rattus_norvegicus |
ENSPPYG00000010138 | NANOS2 | 100 | 97.826 | ENSRBIG00000023726 | NANOS2 | 100 | 97.826 | Rhinopithecus_bieti |
ENSPPYG00000010138 | NANOS2 | 96 | 42.581 | ENSRBIG00000037377 | NANOS3 | 79 | 42.105 | Rhinopithecus_bieti |
ENSPPYG00000010138 | NANOS2 | 100 | 97.101 | ENSRROG00000014903 | NANOS2 | 100 | 97.101 | Rhinopithecus_roxellana |
ENSPPYG00000010138 | NANOS2 | 96 | 41.830 | ENSRROG00000032642 | NANOS3 | 79 | 41.830 | Rhinopithecus_roxellana |
ENSPPYG00000010138 | NANOS2 | 96 | 40.506 | ENSSBOG00000020970 | NANOS3 | 76 | 47.857 | Saimiri_boliviensis_boliviensis |
ENSPPYG00000010138 | NANOS2 | 100 | 66.187 | ENSSHAG00000017034 | NANOS2 | 100 | 65.468 | Sarcophilus_harrisii |
ENSPPYG00000010138 | NANOS2 | 99 | 47.445 | ENSSHAG00000010756 | - | 98 | 45.985 | Sarcophilus_harrisii |
ENSPPYG00000010138 | NANOS2 | 99 | 47.143 | ENSSHAG00000012099 | - | 98 | 45.714 | Sarcophilus_harrisii |
ENSPPYG00000010138 | NANOS2 | 81 | 41.071 | ENSSFOG00015007586 | - | 77 | 39.286 | Scleropages_formosus |
ENSPPYG00000010138 | NANOS2 | 91 | 35.616 | ENSSFOG00015013452 | nanos3 | 97 | 33.562 | Scleropages_formosus |
ENSPPYG00000010138 | NANOS2 | 80 | 37.209 | ENSSMAG00000013915 | nanos2 | 77 | 37.984 | Scophthalmus_maximus |
ENSPPYG00000010138 | NANOS2 | 80 | 38.281 | ENSSDUG00000016576 | nanos2 | 78 | 36.719 | Seriola_dumerili |
ENSPPYG00000010138 | NANOS2 | 80 | 37.692 | ENSSLDG00000013795 | nanos2 | 78 | 36.296 | Seriola_lalandi_dorsalis |
ENSPPYG00000010138 | NANOS2 | 96 | 47.059 | ENSSARG00000008966 | NANOS3 | 73 | 46.324 | Sorex_araneus |
ENSPPYG00000010138 | NANOS2 | 97 | 41.844 | ENSSPUG00000009826 | NANOS3 | 68 | 41.844 | Sphenodon_punctatus |
ENSPPYG00000010138 | NANOS2 | 100 | 55.479 | ENSSPUG00000002566 | NANOS2 | 100 | 56.849 | Sphenodon_punctatus |
ENSPPYG00000010138 | NANOS2 | 85 | 40.000 | ENSSPAG00000003887 | nanos2 | 81 | 42.969 | Stegastes_partitus |
ENSPPYG00000010138 | NANOS2 | 100 | 83.333 | ENSSSCG00000003096 | NANOS2 | 100 | 83.333 | Sus_scrofa |
ENSPPYG00000010138 | NANOS2 | 96 | 46.269 | ENSSSCG00000013759 | NANOS3 | 75 | 46.269 | Sus_scrofa |
ENSPPYG00000010138 | NANOS2 | 96 | 37.594 | ENSTRUG00000017633 | nanos2 | 93 | 39.850 | Takifugu_rubripes |
ENSPPYG00000010138 | NANOS2 | 83 | 39.098 | ENSTNIG00000010543 | - | 88 | 40.496 | Tetraodon_nigroviridis |
ENSPPYG00000010138 | NANOS2 | 86 | 39.535 | ENSTNIG00000014063 | nanos3 | 84 | 42.017 | Tetraodon_nigroviridis |
ENSPPYG00000010138 | NANOS2 | 96 | 49.254 | ENSTBEG00000013729 | NANOS3 | 86 | 48.507 | Tupaia_belangeri |
ENSPPYG00000010138 | NANOS2 | 100 | 86.957 | ENSTTRG00000014315 | NANOS2 | 100 | 86.957 | Tursiops_truncatus |
ENSPPYG00000010138 | NANOS2 | 96 | 47.761 | ENSTTRG00000008361 | NANOS3 | 78 | 47.761 | Tursiops_truncatus |
ENSPPYG00000010138 | NANOS2 | 100 | 85.507 | ENSUAMG00000023170 | NANOS2 | 100 | 85.507 | Ursus_americanus |
ENSPPYG00000010138 | NANOS2 | 96 | 46.269 | ENSUAMG00000006804 | NANOS3 | 75 | 49.254 | Ursus_americanus |
ENSPPYG00000010138 | NANOS2 | 80 | 82.883 | ENSUMAG00000023699 | NANOS2 | 73 | 82.143 | Ursus_maritimus |
ENSPPYG00000010138 | NANOS2 | 96 | 46.269 | ENSUMAG00000004703 | NANOS3 | 73 | 49.254 | Ursus_maritimus |
ENSPPYG00000010138 | NANOS2 | 96 | 45.522 | ENSVPAG00000011497 | NANOS3 | 76 | 45.522 | Vicugna_pacos |
ENSPPYG00000010138 | NANOS2 | 100 | 85.507 | ENSVVUG00000002993 | NANOS2 | 100 | 85.507 | Vulpes_vulpes |
ENSPPYG00000010138 | NANOS2 | 96 | 49.254 | ENSVVUG00000026757 | NANOS3 | 76 | 49.254 | Vulpes_vulpes |
ENSPPYG00000010138 | NANOS2 | 99 | 41.497 | ENSXETG00000021874 | nanos3 | 99 | 41.497 | Xenopus_tropicalis |
ENSPPYG00000010138 | NANOS2 | 96 | 43.885 | ENSXETG00000014552 | NANOS2 | 97 | 43.885 | Xenopus_tropicalis |
ENSPPYG00000010138 | NANOS2 | 80 | 42.105 | ENSXETG00000024565 | nanos1 | 84 | 40.496 | Xenopus_tropicalis |
ENSPPYG00000010138 | NANOS2 | 80 | 37.313 | ENSXMAG00000020157 | - | 63 | 36.090 | Xiphophorus_maculatus |