Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSGACP00000006509 | zf-nanos | PF05741.13 | 1.5e-26 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSGACT00000006526 | - | 330 | - | ENSGACP00000006509 | 110 (aa) | - | G3NME6 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSGACG00000004930 | - | 63 | 85.507 | ENSGACG00000016692 | - | 75 | 85.507 |
ENSGACG00000004930 | - | 96 | 38.095 | ENSGACG00000019003 | nanos3 | 80 | 38.095 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSGACG00000004930 | - | 56 | 74.194 | ENSG00000188613 | NANOS1 | 73 | 73.770 | Homo_sapiens |
ENSGACG00000004930 | - | 96 | 43.243 | ENSG00000187556 | NANOS3 | 64 | 42.857 | Homo_sapiens |
ENSGACG00000004930 | - | 95 | 37.008 | ENSG00000188425 | NANOS2 | 81 | 37.008 | Homo_sapiens |
ENSGACG00000004930 | - | 100 | 95.000 | ENSAPOG00000005093 | - | 54 | 86.957 | Acanthochromis_polyacanthus |
ENSGACG00000004930 | - | 96 | 35.878 | ENSAPOG00000020274 | nanos2 | 78 | 35.878 | Acanthochromis_polyacanthus |
ENSGACG00000004930 | - | 97 | 40.000 | ENSAMEG00000012972 | NANOS3 | 63 | 40.000 | Ailuropoda_melanoleuca |
ENSGACG00000004930 | - | 56 | 74.194 | ENSAMEG00000020160 | - | 67 | 74.194 | Ailuropoda_melanoleuca |
ENSGACG00000004930 | - | 100 | 95.000 | ENSACIG00000004805 | - | 53 | 95.000 | Amphilophus_citrinellus |
ENSGACG00000004930 | - | 94 | 38.318 | ENSACIG00000007105 | nanos2 | 67 | 38.318 | Amphilophus_citrinellus |
ENSGACG00000004930 | - | 100 | 95.000 | ENSAOCG00000020120 | - | 51 | 95.000 | Amphiprion_ocellaris |
ENSGACG00000004930 | - | 96 | 39.496 | ENSAOCG00000009429 | nanos2 | 77 | 39.496 | Amphiprion_ocellaris |
ENSGACG00000004930 | - | 96 | 37.097 | ENSAPEG00000019139 | nanos2 | 78 | 37.097 | Amphiprion_percula |
ENSGACG00000004930 | - | 100 | 95.000 | ENSAPEG00000005585 | - | 51 | 95.000 | Amphiprion_percula |
ENSGACG00000004930 | - | 95 | 35.200 | ENSATEG00000009393 | nanos2 | 77 | 35.714 | Anabas_testudineus |
ENSGACG00000004930 | - | 100 | 95.000 | ENSATEG00000018856 | - | 51 | 95.000 | Anabas_testudineus |
ENSGACG00000004930 | - | 96 | 41.509 | ENSACAG00000022236 | - | 80 | 42.453 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000026478 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000023823 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024972 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.667 | ENSACAG00000023813 | - | 82 | 41.667 | Anolis_carolinensis |
ENSGACG00000004930 | - | 99 | 38.261 | ENSACAG00000026660 | - | 84 | 41.880 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000014502 | - | 82 | 41.964 | Anolis_carolinensis |
ENSGACG00000004930 | - | 99 | 39.130 | ENSACAG00000025452 | - | 84 | 41.739 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 39.623 | ENSACAG00000024995 | - | 79 | 40.566 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024364 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000023650 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 99 | 39.130 | ENSACAG00000005197 | - | 84 | 41.739 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000028048 | - | 82 | 41.964 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024568 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024504 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000025307 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.379 | ENSACAG00000025556 | - | 81 | 41.379 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.509 | ENSACAG00000026716 | - | 80 | 42.453 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000026679 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000025655 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000027265 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000025632 | - | 82 | 41.964 | Anolis_carolinensis |
ENSGACG00000004930 | - | 53 | 60.345 | ENSACAG00000011358 | - | 73 | 60.345 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.741 | ENSACAG00000027983 | - | 80 | 40.741 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.741 | ENSACAG00000025044 | - | 80 | 40.741 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000027995 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000022041 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000026317 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000023803 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 53 | 74.138 | ENSACAG00000027867 | - | 72 | 74.138 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000022918 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000026771 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 42.593 | ENSACAG00000025505 | - | 82 | 42.593 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000023855 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.179 | ENSACAG00000024218 | - | 81 | 41.593 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000024003 | - | 82 | 41.964 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000025260 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000025093 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024639 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000021948 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000017474 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.566 | ENSACAG00000024434 | - | 80 | 41.509 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.909 | ENSACAG00000024432 | - | 81 | 40.909 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000027440 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000023428 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000027212 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.566 | ENSACAG00000025729 | - | 80 | 41.509 | Anolis_carolinensis |
ENSGACG00000004930 | - | 53 | 60.345 | ENSACAG00000023774 | - | 81 | 41.593 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.509 | ENSACAG00000022088 | - | 80 | 42.453 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 39.815 | ENSACAG00000022322 | - | 80 | 39.815 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000026757 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000027196 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024370 | - | 82 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000022321 | - | 82 | 41.964 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000022675 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 43.750 | ENSACAG00000026819 | - | 79 | 43.750 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000022207 | - | 81 | 41.818 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000022790 | - | 84 | 41.964 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000023391 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 40.566 | ENSACAG00000026334 | - | 80 | 41.509 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000024274 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.818 | ENSACAG00000023519 | - | 79 | 41.818 | Anolis_carolinensis |
ENSGACG00000004930 | - | 99 | 39.130 | ENSACAG00000027568 | - | 84 | 41.739 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000027728 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.964 | ENSACAG00000010268 | - | 81 | 43.363 | Anolis_carolinensis |
ENSGACG00000004930 | - | 99 | 39.130 | ENSACAG00000026350 | - | 84 | 41.739 | Anolis_carolinensis |
ENSGACG00000004930 | - | 99 | 39.130 | ENSACAG00000024524 | - | 84 | 41.739 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000022861 | - | 82 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 96 | 41.071 | ENSACAG00000026914 | - | 81 | 42.478 | Anolis_carolinensis |
ENSGACG00000004930 | - | 97 | 40.000 | ENSANAG00000025042 | NANOS3 | 66 | 38.655 | Aotus_nancymaae |
ENSGACG00000004930 | - | 95 | 40.952 | ENSACLG00000027005 | nanos2 | 68 | 40.952 | Astatotilapia_calliptera |
ENSGACG00000004930 | - | 100 | 54.000 | ENSACLG00000013474 | - | 81 | 54.000 | Astatotilapia_calliptera |
ENSGACG00000004930 | - | 100 | 79.208 | ENSACLG00000014135 | - | 55 | 79.208 | Astatotilapia_calliptera |
ENSGACG00000004930 | - | 100 | 52.597 | ENSAMXG00000043091 | nanos1 | 84 | 48.718 | Astyanax_mexicanus |
ENSGACG00000004930 | - | 100 | 52.258 | ENSAMXG00000030027 | NANOS1 | 84 | 52.258 | Astyanax_mexicanus |
ENSGACG00000004930 | - | 94 | 39.844 | ENSAMXG00000042358 | nanos2 | 76 | 39.844 | Astyanax_mexicanus |
ENSGACG00000004930 | - | 95 | 37.008 | ENSBTAG00000047505 | NANOS2 | 81 | 37.795 | Bos_taurus |
ENSGACG00000004930 | - | 97 | 41.739 | ENSBTAG00000000399 | NANOS3 | 64 | 41.739 | Bos_taurus |
ENSGACG00000004930 | - | 96 | 37.288 | ENSCJAG00000004388 | NANOS3 | 66 | 36.975 | Callithrix_jacchus |
ENSGACG00000004930 | - | 95 | 40.179 | ENSCJAG00000012141 | NANOS2 | 79 | 40.336 | Callithrix_jacchus |
ENSGACG00000004930 | - | 97 | 41.739 | ENSCAFG00000016592 | NANOS3 | 58 | 41.739 | Canis_familiaris |
ENSGACG00000004930 | - | 96 | 37.008 | ENSCAFG00000024541 | NANOS2 | 82 | 37.008 | Canis_familiaris |
ENSGACG00000004930 | - | 96 | 37.008 | ENSCAFG00020001772 | NANOS2 | 82 | 37.008 | Canis_lupus_dingo |
ENSGACG00000004930 | - | 97 | 41.739 | ENSCAFG00020006694 | NANOS3 | 58 | 41.739 | Canis_lupus_dingo |
ENSGACG00000004930 | - | 96 | 42.982 | ENSCHIG00000007837 | NANOS3 | 63 | 42.609 | Capra_hircus |
ENSGACG00000004930 | - | 95 | 37.008 | ENSCHIG00000012637 | NANOS2 | 81 | 37.795 | Capra_hircus |
ENSGACG00000004930 | - | 97 | 41.593 | ENSTSYG00000026709 | NANOS3 | 63 | 41.593 | Carlito_syrichta |
ENSGACG00000004930 | - | 97 | 40.000 | ENSCAPG00000014339 | NANOS3 | 71 | 41.026 | Cavia_aperea |
ENSGACG00000004930 | - | 95 | 44.340 | ENSCAPG00000016771 | NANOS2 | 80 | 44.340 | Cavia_aperea |
ENSGACG00000004930 | - | 95 | 44.340 | ENSCPOG00000014969 | NANOS2 | 80 | 44.340 | Cavia_porcellus |
ENSGACG00000004930 | - | 97 | 39.344 | ENSCPOG00000020727 | NANOS3 | 64 | 39.344 | Cavia_porcellus |
ENSGACG00000004930 | - | 97 | 39.286 | ENSCCAG00000036253 | NANOS3 | 64 | 38.938 | Cebus_capucinus |
ENSGACG00000004930 | - | 97 | 35.821 | ENSCATG00000034885 | NANOS3 | 68 | 37.313 | Cercocebus_atys |
ENSGACG00000004930 | - | 95 | 37.008 | ENSCATG00000018951 | NANOS2 | 81 | 37.008 | Cercocebus_atys |
ENSGACG00000004930 | - | 97 | 41.322 | ENSCLAG00000015139 | NANOS3 | 63 | 41.322 | Chinchilla_lanigera |
ENSGACG00000004930 | - | 95 | 46.296 | ENSCLAG00000001832 | NANOS2 | 80 | 46.296 | Chinchilla_lanigera |
ENSGACG00000004930 | - | 95 | 39.286 | ENSCSAG00000019629 | NANOS2 | 81 | 37.008 | Chlorocebus_sabaeus |
ENSGACG00000004930 | - | 97 | 36.496 | ENSCSAG00000006428 | NANOS3 | 69 | 36.496 | Chlorocebus_sabaeus |
ENSGACG00000004930 | - | 96 | 40.708 | ENSCHOG00000001937 | NANOS2 | 82 | 40.517 | Choloepus_hoffmanni |
ENSGACG00000004930 | - | 94 | 46.296 | ENSCPBG00000007141 | NANOS2 | 72 | 46.296 | Chrysemys_picta_bellii |
ENSGACG00000004930 | - | 56 | 74.194 | ENSCPBG00000002172 | NANOS1 | 51 | 74.194 | Chrysemys_picta_bellii |
ENSGACG00000004930 | - | 96 | 40.179 | ENSCPBG00000023819 | NANOS3 | 79 | 40.179 | Chrysemys_picta_bellii |
ENSGACG00000004930 | - | 95 | 40.179 | ENSCANG00000012014 | NANOS2 | 81 | 37.795 | Colobus_angolensis_palliatus |
ENSGACG00000004930 | - | 97 | 42.857 | ENSCANG00000034930 | NANOS3 | 65 | 42.857 | Colobus_angolensis_palliatus |
ENSGACG00000004930 | - | 95 | 40.566 | ENSCGRG00001013726 | Nanos2 | 80 | 40.566 | Cricetulus_griseus_chok1gshd |
ENSGACG00000004930 | - | 97 | 40.000 | ENSCGRG00001023851 | Nanos3 | 63 | 40.000 | Cricetulus_griseus_chok1gshd |
ENSGACG00000004930 | - | 95 | 40.566 | ENSCGRG00000019170 | Nanos2 | 80 | 40.566 | Cricetulus_griseus_crigri |
ENSGACG00000004930 | - | 97 | 40.000 | ENSCGRG00000017734 | Nanos3 | 62 | 40.000 | Cricetulus_griseus_crigri |
ENSGACG00000004930 | - | 100 | 83.495 | ENSCSEG00000012772 | - | 55 | 83.495 | Cynoglossus_semilaevis |
ENSGACG00000004930 | - | 97 | 40.187 | ENSCVAG00000006947 | nanos2 | 79 | 40.187 | Cyprinodon_variegatus |
ENSGACG00000004930 | - | 100 | 63.576 | ENSCVAG00000019077 | - | 79 | 63.576 | Cyprinodon_variegatus |
ENSGACG00000004930 | - | 97 | 36.508 | ENSDARG00000068255 | nanos3 | 79 | 36.508 | Danio_rerio |
ENSGACG00000004930 | - | 95 | 41.071 | ENSDNOG00000044718 | NANOS2 | 81 | 41.071 | Dasypus_novemcinctus |
ENSGACG00000004930 | - | 100 | 40.909 | ENSDORG00000029226 | Nanos1 | 79 | 44.156 | Dipodomys_ordii |
ENSGACG00000004930 | - | 61 | 68.657 | ENSEBUG00000002646 | - | 64 | 69.118 | Eptatretus_burgeri |
ENSGACG00000004930 | - | 97 | 38.182 | ENSEASG00005015313 | NANOS3 | 66 | 38.182 | Equus_asinus_asinus |
ENSGACG00000004930 | - | 95 | 41.964 | ENSEASG00005014235 | NANOS2 | 81 | 41.964 | Equus_asinus_asinus |
ENSGACG00000004930 | - | 97 | 38.182 | ENSECAG00000016293 | NANOS3 | 63 | 38.182 | Equus_caballus |
ENSGACG00000004930 | - | 95 | 40.179 | ENSECAG00000006033 | NANOS2 | 81 | 40.179 | Equus_caballus |
ENSGACG00000004930 | - | 96 | 42.478 | ENSEEUG00000009930 | NANOS2 | 82 | 42.478 | Erinaceus_europaeus |
ENSGACG00000004930 | - | 97 | 36.220 | ENSEEUG00000009900 | NANOS3 | 75 | 36.220 | Erinaceus_europaeus |
ENSGACG00000004930 | - | 98 | 35.211 | ENSELUG00000016582 | - | 78 | 35.211 | Esox_lucius |
ENSGACG00000004930 | - | 94 | 38.182 | ENSELUG00000019091 | - | 76 | 38.182 | Esox_lucius |
ENSGACG00000004930 | - | 92 | 37.615 | ENSFCAG00000003717 | NANOS3 | 64 | 38.462 | Felis_catus |
ENSGACG00000004930 | - | 95 | 40.179 | ENSFCAG00000027661 | NANOS2 | 81 | 38.095 | Felis_catus |
ENSGACG00000004930 | - | 95 | 44.860 | ENSFDAG00000016342 | NANOS2 | 80 | 44.860 | Fukomys_damarensis |
ENSGACG00000004930 | - | 97 | 37.398 | ENSFDAG00000018459 | NANOS3 | 63 | 37.398 | Fukomys_damarensis |
ENSGACG00000004930 | - | 94 | 40.367 | ENSFHEG00000012835 | NANOS2 | 85 | 40.367 | Fundulus_heteroclitus |
ENSGACG00000004930 | - | 96 | 35.000 | ENSFHEG00000017084 | - | 78 | 34.532 | Fundulus_heteroclitus |
ENSGACG00000004930 | - | 63 | 85.507 | ENSGMOG00000020465 | nanos1 | 75 | 85.507 | Gadus_morhua |
ENSGACG00000004930 | - | 100 | 84.071 | ENSGMOG00000015980 | - | 100 | 84.071 | Gadus_morhua |
ENSGACG00000004930 | - | 100 | 68.310 | ENSGAFG00000017593 | NANOS1 | 83 | 68.310 | Gambusia_affinis |
ENSGACG00000004930 | - | 96 | 37.383 | ENSGAFG00000006000 | - | 68 | 37.383 | Gambusia_affinis |
ENSGACG00000004930 | - | 96 | 40.179 | ENSGAGG00000005591 | - | 62 | 40.179 | Gopherus_agassizii |
ENSGACG00000004930 | - | 96 | 44.545 | ENSGAGG00000009500 | NANOS2 | 66 | 44.545 | Gopherus_agassizii |
ENSGACG00000004930 | - | 97 | 35.766 | ENSGGOG00000000964 | NANOS3 | 69 | 35.766 | Gorilla_gorilla |
ENSGACG00000004930 | - | 95 | 39.286 | ENSGGOG00000013447 | NANOS2 | 81 | 37.008 | Gorilla_gorilla |
ENSGACG00000004930 | - | 100 | 80.198 | ENSHBUG00000010726 | - | 55 | 80.198 | Haplochromis_burtoni |
ENSGACG00000004930 | - | 95 | 35.115 | ENSHBUG00000016772 | nanos2 | 79 | 35.115 | Haplochromis_burtoni |
ENSGACG00000004930 | - | 100 | 54.000 | ENSHBUG00000019798 | - | 81 | 54.000 | Haplochromis_burtoni |
ENSGACG00000004930 | - | 97 | 37.398 | ENSHGLG00000019378 | NANOS3 | 61 | 37.398 | Heterocephalus_glaber_female |
ENSGACG00000004930 | - | 97 | 37.398 | ENSHGLG00100012652 | NANOS3 | 61 | 37.398 | Heterocephalus_glaber_male |
ENSGACG00000004930 | - | 65 | 90.141 | ENSHCOG00000011423 | - | 81 | 51.235 | Hippocampus_comes |
ENSGACG00000004930 | - | 100 | 51.282 | ENSHCOG00000010326 | NANOS1 | 81 | 51.282 | Hippocampus_comes |
ENSGACG00000004930 | - | 95 | 38.938 | ENSHCOG00000014790 | nanos3 | 77 | 38.938 | Hippocampus_comes |
ENSGACG00000004930 | - | 95 | 38.983 | ENSIPUG00000012246 | - | 65 | 38.983 | Ictalurus_punctatus |
ENSGACG00000004930 | - | 51 | 51.786 | ENSIPUG00000008857 | nanos3 | 80 | 33.784 | Ictalurus_punctatus |
ENSGACG00000004930 | - | 95 | 39.669 | ENSIPUG00000007200 | - | 75 | 39.669 | Ictalurus_punctatus |
ENSGACG00000004930 | - | 94 | 39.516 | ENSIPUG00000024113 | nanos2 | 77 | 39.516 | Ictalurus_punctatus |
ENSGACG00000004930 | - | 97 | 36.290 | ENSSTOG00000024797 | NANOS3 | 62 | 38.739 | Ictidomys_tridecemlineatus |
ENSGACG00000004930 | - | 95 | 42.857 | ENSSTOG00000021724 | NANOS2 | 80 | 42.857 | Ictidomys_tridecemlineatus |
ENSGACG00000004930 | - | 97 | 39.640 | ENSJJAG00000000545 | Nanos3 | 62 | 40.541 | Jaculus_jaculus |
ENSGACG00000004930 | - | 98 | 34.375 | ENSLBEG00000018836 | nanos2 | 85 | 34.375 | Labrus_bergylta |
ENSGACG00000004930 | - | 100 | 63.750 | ENSLBEG00000027516 | - | 84 | 63.750 | Labrus_bergylta |
ENSGACG00000004930 | - | 95 | 37.931 | ENSLACG00000013286 | NANOS3 | 79 | 37.931 | Latimeria_chalumnae |
ENSGACG00000004930 | - | 97 | 40.708 | ENSLAFG00000008480 | NANOS3 | 62 | 40.171 | Loxodonta_africana |
ENSGACG00000004930 | - | 95 | 35.659 | ENSLAFG00000014090 | NANOS2 | 82 | 35.659 | Loxodonta_africana |
ENSGACG00000004930 | - | 95 | 39.286 | ENSMFAG00000017215 | NANOS2 | 81 | 37.008 | Macaca_fascicularis |
ENSGACG00000004930 | - | 97 | 37.405 | ENSMFAG00000040009 | NANOS3 | 67 | 37.405 | Macaca_fascicularis |
ENSGACG00000004930 | - | 95 | 39.286 | ENSMMUG00000008103 | NANOS2 | 81 | 37.008 | Macaca_mulatta |
ENSGACG00000004930 | - | 97 | 37.121 | ENSMMUG00000008316 | NANOS3 | 68 | 37.121 | Macaca_mulatta |
ENSGACG00000004930 | - | 56 | 74.194 | ENSMMUG00000048654 | NANOS1 | 73 | 73.770 | Macaca_mulatta |
ENSGACG00000004930 | - | 95 | 39.286 | ENSMNEG00000004633 | NANOS2 | 81 | 37.008 | Macaca_nemestrina |
ENSGACG00000004930 | - | 97 | 37.405 | ENSMNEG00000028898 | NANOS3 | 68 | 37.405 | Macaca_nemestrina |
ENSGACG00000004930 | - | 96 | 41.593 | ENSMLEG00000033135 | NANOS3 | 64 | 42.105 | Mandrillus_leucophaeus |
ENSGACG00000004930 | - | 95 | 37.008 | ENSMLEG00000001810 | NANOS2 | 81 | 37.008 | Mandrillus_leucophaeus |
ENSGACG00000004930 | - | 100 | 53.595 | ENSMAMG00000015477 | - | 84 | 53.595 | Mastacembelus_armatus |
ENSGACG00000004930 | - | 96 | 36.585 | ENSMAMG00000005577 | NANOS2 | 77 | 36.585 | Mastacembelus_armatus |
ENSGACG00000004930 | - | 100 | 95.000 | ENSMAMG00000000110 | - | 51 | 95.000 | Mastacembelus_armatus |
ENSGACG00000004930 | - | 100 | 79.208 | ENSMZEG00005014293 | - | 57 | 79.208 | Maylandia_zebra |
ENSGACG00000004930 | - | 95 | 35.115 | ENSMZEG00005003043 | - | 79 | 35.115 | Maylandia_zebra |
ENSGACG00000004930 | - | 95 | 34.351 | ENSMZEG00005024641 | - | 79 | 34.351 | Maylandia_zebra |
ENSGACG00000004930 | - | 95 | 35.115 | ENSMZEG00005021987 | - | 79 | 35.115 | Maylandia_zebra |
ENSGACG00000004930 | - | 95 | 34.351 | ENSMZEG00005028148 | - | 79 | 34.351 | Maylandia_zebra |
ENSGACG00000004930 | - | 100 | 54.000 | ENSMZEG00005002722 | - | 81 | 54.000 | Maylandia_zebra |
ENSGACG00000004930 | - | 95 | 35.115 | ENSMZEG00005028154 | - | 79 | 35.115 | Maylandia_zebra |
ENSGACG00000004930 | - | 97 | 41.739 | ENSMAUG00000008396 | Nanos3 | 62 | 41.739 | Mesocricetus_auratus |
ENSGACG00000004930 | - | 97 | 37.273 | ENSMICG00000030950 | NANOS3 | 63 | 37.273 | Microcebus_murinus |
ENSGACG00000004930 | - | 97 | 39.091 | ENSMOCG00000000059 | Nanos3 | 62 | 39.091 | Microtus_ochrogaster |
ENSGACG00000004930 | - | 95 | 44.954 | ENSMOCG00000001985 | Nanos2 | 80 | 44.954 | Microtus_ochrogaster |
ENSGACG00000004930 | - | 94 | 37.719 | ENSMMOG00000009827 | nanos2 | 75 | 37.719 | Mola_mola |
ENSGACG00000004930 | - | 100 | 58.667 | ENSMMOG00000003796 | - | 82 | 58.667 | Mola_mola |
ENSGACG00000004930 | - | 97 | 38.739 | ENSMODG00000023964 | - | 81 | 38.739 | Monodelphis_domestica |
ENSGACG00000004930 | - | 94 | 40.323 | ENSMALG00000005945 | nanos3 | 74 | 40.323 | Monopterus_albus |
ENSGACG00000004930 | - | 95 | 40.566 | ENSMALG00000011545 | - | 58 | 40.566 | Monopterus_albus |
ENSGACG00000004930 | - | 98 | 39.815 | ENSMALG00000006299 | nanos2 | 72 | 39.815 | Monopterus_albus |
ENSGACG00000004930 | - | 100 | 95.000 | ENSMALG00000002316 | - | 51 | 95.000 | Monopterus_albus |
ENSGACG00000004930 | - | 97 | 39.091 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 61 | 39.091 | Mus_caroli |
ENSGACG00000004930 | - | 95 | 40.000 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 81 | 40.000 | Mus_caroli |
ENSGACG00000004930 | - | 97 | 39.091 | ENSMUSG00000056155 | Nanos3 | 63 | 39.091 | Mus_musculus |
ENSGACG00000004930 | - | 95 | 41.818 | ENSMUSG00000051965 | Nanos2 | 81 | 41.818 | Mus_musculus |
ENSGACG00000004930 | - | 97 | 39.091 | MGP_PahariEiJ_G0022902 | Nanos3 | 61 | 39.091 | Mus_pahari |
ENSGACG00000004930 | - | 95 | 39.091 | MGP_PahariEiJ_G0021123 | Nanos2 | 81 | 39.091 | Mus_pahari |
ENSGACG00000004930 | - | 97 | 39.091 | MGP_SPRETEiJ_G0032414 | Nanos3 | 62 | 39.091 | Mus_spretus |
ENSGACG00000004930 | - | 95 | 40.000 | MGP_SPRETEiJ_G0030347 | Nanos2 | 81 | 40.000 | Mus_spretus |
ENSGACG00000004930 | - | 95 | 36.508 | ENSMPUG00000019371 | NANOS2 | 81 | 38.393 | Mustela_putorius_furo |
ENSGACG00000004930 | - | 97 | 39.091 | ENSMPUG00000003282 | NANOS3 | 62 | 39.091 | Mustela_putorius_furo |
ENSGACG00000004930 | - | 97 | 41.739 | ENSMLUG00000012971 | NANOS3 | 63 | 41.739 | Myotis_lucifugus |
ENSGACG00000004930 | - | 55 | 73.770 | ENSMLUG00000026243 | - | 73 | 73.770 | Myotis_lucifugus |
ENSGACG00000004930 | - | 100 | 41.060 | ENSNGAG00000023539 | Nanos1 | 74 | 41.060 | Nannospalax_galili |
ENSGACG00000004930 | - | 97 | 40.541 | ENSNGAG00000020486 | Nanos3 | 61 | 40.541 | Nannospalax_galili |
ENSGACG00000004930 | - | 100 | 95.000 | ENSNBRG00000024149 | - | 51 | 95.000 | Neolamprologus_brichardi |
ENSGACG00000004930 | - | 100 | 54.000 | ENSNBRG00000014018 | - | 81 | 54.000 | Neolamprologus_brichardi |
ENSGACG00000004930 | - | 95 | 40.000 | ENSNBRG00000018838 | NANOS2 | 66 | 40.000 | Neolamprologus_brichardi |
ENSGACG00000004930 | - | 96 | 43.243 | ENSNLEG00000034574 | NANOS3 | 64 | 42.857 | Nomascus_leucogenys |
ENSGACG00000004930 | - | 50 | 61.818 | ENSOPRG00000010043 | NANOS2 | 82 | 39.655 | Ochotona_princeps |
ENSGACG00000004930 | - | 96 | 39.062 | ENSOPRG00000007211 | - | 65 | 38.760 | Ochotona_princeps |
ENSGACG00000004930 | - | 97 | 41.441 | ENSODEG00000008907 | NANOS3 | 60 | 41.441 | Octodon_degus |
ENSGACG00000004930 | - | 94 | 35.659 | ENSONIG00000005777 | nanos2 | 78 | 35.659 | Oreochromis_niloticus |
ENSGACG00000004930 | - | 100 | 81.188 | ENSONIG00000021034 | - | 57 | 81.188 | Oreochromis_niloticus |
ENSGACG00000004930 | - | 98 | 41.667 | ENSOANG00000013042 | - | 83 | 41.667 | Ornithorhynchus_anatinus |
ENSGACG00000004930 | - | 95 | 37.168 | ENSOCUG00000023755 | NANOS2 | 81 | 37.168 | Oryctolagus_cuniculus |
ENSGACG00000004930 | - | 97 | 35.897 | ENSOCUG00000014802 | NANOS3 | 66 | 34.615 | Oryctolagus_cuniculus |
ENSGACG00000004930 | - | 99 | 56.329 | ENSORLG00000027849 | nanos1a | 85 | 55.696 | Oryzias_latipes |
ENSGACG00000004930 | - | 99 | 32.258 | ENSORLG00000009335 | nanos2 | 80 | 34.400 | Oryzias_latipes |
ENSGACG00000004930 | - | 99 | 56.329 | ENSORLG00020008713 | - | 85 | 55.696 | Oryzias_latipes_hni |
ENSGACG00000004930 | - | 99 | 33.065 | ENSORLG00020013284 | nanos2 | 80 | 35.200 | Oryzias_latipes_hni |
ENSGACG00000004930 | - | 99 | 56.329 | ENSORLG00015000175 | - | 85 | 56.329 | Oryzias_latipes_hsok |
ENSGACG00000004930 | - | 99 | 33.065 | ENSORLG00015013150 | nanos2 | 80 | 33.600 | Oryzias_latipes_hsok |
ENSGACG00000004930 | - | 94 | 34.356 | ENSORLG00015003631 | nanos3 | 83 | 34.356 | Oryzias_latipes_hsok |
ENSGACG00000004930 | - | 96 | 38.983 | ENSOMEG00000006512 | nanos2 | 79 | 38.983 | Oryzias_melastigma |
ENSGACG00000004930 | - | 99 | 56.329 | ENSOMEG00000008866 | NANOS1 | 86 | 56.329 | Oryzias_melastigma |
ENSGACG00000004930 | - | 97 | 40.000 | ENSOGAG00000007190 | NANOS3 | 63 | 40.000 | Otolemur_garnettii |
ENSGACG00000004930 | - | 95 | 39.286 | ENSOGAG00000032290 | NANOS2 | 81 | 37.302 | Otolemur_garnettii |
ENSGACG00000004930 | - | 97 | 40.870 | ENSOARG00000008043 | NANOS3 | 61 | 40.870 | Ovis_aries |
ENSGACG00000004930 | - | 76 | 60.714 | ENSOARG00000000575 | - | 67 | 60.714 | Ovis_aries |
ENSGACG00000004930 | - | 95 | 37.008 | ENSOARG00000011467 | NANOS2 | 81 | 37.795 | Ovis_aries |
ENSGACG00000004930 | - | 95 | 37.008 | ENSPPAG00000020568 | NANOS2 | 81 | 37.008 | Pan_paniscus |
ENSGACG00000004930 | - | 96 | 43.243 | ENSPPAG00000032168 | NANOS3 | 64 | 42.857 | Pan_paniscus |
ENSGACG00000004930 | - | 95 | 40.179 | ENSPPRG00000015211 | NANOS2 | 81 | 38.095 | Panthera_pardus |
ENSGACG00000004930 | - | 97 | 41.739 | ENSPPRG00000009573 | NANOS3 | 63 | 41.739 | Panthera_pardus |
ENSGACG00000004930 | - | 97 | 41.739 | ENSPTIG00000000325 | NANOS3 | 63 | 41.739 | Panthera_tigris_altaica |
ENSGACG00000004930 | - | 95 | 40.179 | ENSPTIG00000015372 | NANOS2 | 81 | 36.800 | Panthera_tigris_altaica |
ENSGACG00000004930 | - | 97 | 38.168 | ENSPTRG00000010568 | NANOS3 | 68 | 38.168 | Pan_troglodytes |
ENSGACG00000004930 | - | 95 | 37.008 | ENSPTRG00000011172 | NANOS2 | 81 | 37.008 | Pan_troglodytes |
ENSGACG00000004930 | - | 97 | 38.168 | ENSPANG00000015037 | NANOS3 | 66 | 38.168 | Papio_anubis |
ENSGACG00000004930 | - | 95 | 37.008 | ENSPANG00000009327 | NANOS2 | 81 | 37.008 | Papio_anubis |
ENSGACG00000004930 | - | 97 | 32.558 | ENSPKIG00000006934 | - | 84 | 32.558 | Paramormyrops_kingsleyae |
ENSGACG00000004930 | - | 94 | 35.455 | ENSPKIG00000006905 | - | 53 | 35.455 | Paramormyrops_kingsleyae |
ENSGACG00000004930 | - | 94 | 44.762 | ENSPSIG00000007082 | NANOS2 | 79 | 44.762 | Pelodiscus_sinensis |
ENSGACG00000004930 | - | 55 | 73.333 | ENSPSIG00000000407 | - | 73 | 73.333 | Pelodiscus_sinensis |
ENSGACG00000004930 | - | 96 | 40.833 | ENSPMGG00000023681 | nanos2 | 71 | 40.833 | Periophthalmus_magnuspinnatus |
ENSGACG00000004930 | - | 95 | 37.398 | ENSPEMG00000014999 | Nanos2 | 81 | 37.398 | Peromyscus_maniculatus_bairdii |
ENSGACG00000004930 | - | 54 | 77.966 | ENSPMAG00000010329 | - | 80 | 77.966 | Petromyzon_marinus |
ENSGACG00000004930 | - | 95 | 31.818 | ENSPFOG00000020721 | NANOS2 | 83 | 33.333 | Poecilia_formosa |
ENSGACG00000004930 | - | 63 | 85.507 | ENSPFOG00000020533 | - | 75 | 85.507 | Poecilia_formosa |
ENSGACG00000004930 | - | 96 | 40.367 | ENSPLAG00000007786 | NANOS2 | 84 | 40.367 | Poecilia_latipinna |
ENSGACG00000004930 | - | 99 | 39.286 | ENSPMEG00000005681 | NANOS2 | 83 | 39.286 | Poecilia_mexicana |
ENSGACG00000004930 | - | 99 | 39.450 | ENSPREG00000020465 | nanos2 | 86 | 39.450 | Poecilia_reticulata |
ENSGACG00000004930 | - | 97 | 35.036 | ENSPPYG00000009627 | NANOS3 | 68 | 35.036 | Pongo_abelii |
ENSGACG00000004930 | - | 95 | 41.071 | ENSPPYG00000010138 | NANOS2 | 81 | 37.008 | Pongo_abelii |
ENSGACG00000004930 | - | 95 | 41.176 | ENSPCAG00000005087 | NANOS2 | 81 | 41.176 | Procavia_capensis |
ENSGACG00000004930 | - | 97 | 37.273 | ENSPCOG00000018814 | NANOS3 | 64 | 37.273 | Propithecus_coquereli |
ENSGACG00000004930 | - | 95 | 38.393 | ENSPVAG00000001363 | NANOS2 | 81 | 40.708 | Pteropus_vampyrus |
ENSGACG00000004930 | - | 97 | 40.708 | ENSPVAG00000017538 | NANOS3 | 64 | 40.678 | Pteropus_vampyrus |
ENSGACG00000004930 | - | 95 | 40.000 | ENSPNYG00000004545 | NANOS2 | 78 | 40.000 | Pundamilia_nyererei |
ENSGACG00000004930 | - | 100 | 80.198 | ENSPNYG00000018230 | - | 55 | 80.198 | Pundamilia_nyererei |
ENSGACG00000004930 | - | 100 | 54.000 | ENSPNYG00000001325 | - | 81 | 54.000 | Pundamilia_nyererei |
ENSGACG00000004930 | - | 95 | 88.333 | ENSPNAG00000004874 | nanos1 | 54 | 75.000 | Pygocentrus_nattereri |
ENSGACG00000004930 | - | 95 | 36.697 | ENSPNAG00000002259 | nanos3 | 73 | 33.824 | Pygocentrus_nattereri |
ENSGACG00000004930 | - | 95 | 41.818 | ENSRNOG00000038088 | Nanos2 | 81 | 41.818 | Rattus_norvegicus |
ENSGACG00000004930 | - | 97 | 40.000 | ENSRNOG00000031593 | Nanos3 | 62 | 40.000 | Rattus_norvegicus |
ENSGACG00000004930 | - | 97 | 38.168 | ENSRBIG00000037377 | NANOS3 | 68 | 38.168 | Rhinopithecus_bieti |
ENSGACG00000004930 | - | 95 | 37.795 | ENSRBIG00000023726 | NANOS2 | 81 | 37.795 | Rhinopithecus_bieti |
ENSGACG00000004930 | - | 97 | 37.879 | ENSRROG00000032642 | NANOS3 | 68 | 37.879 | Rhinopithecus_roxellana |
ENSGACG00000004930 | - | 95 | 42.975 | ENSRROG00000014903 | NANOS2 | 81 | 42.975 | Rhinopithecus_roxellana |
ENSGACG00000004930 | - | 96 | 37.288 | ENSSBOG00000020970 | NANOS3 | 65 | 36.975 | Saimiri_boliviensis_boliviensis |
ENSGACG00000004930 | - | 97 | 40.541 | ENSSHAG00000010756 | - | 81 | 40.541 | Sarcophilus_harrisii |
ENSGACG00000004930 | - | 97 | 41.441 | ENSSHAG00000012099 | - | 81 | 41.441 | Sarcophilus_harrisii |
ENSGACG00000004930 | - | 95 | 40.909 | ENSSHAG00000017034 | NANOS2 | 80 | 40.909 | Sarcophilus_harrisii |
ENSGACG00000004930 | - | 94 | 43.689 | ENSSFOG00015007586 | - | 75 | 43.689 | Scleropages_formosus |
ENSGACG00000004930 | - | 54 | 52.542 | ENSSMAG00000013915 | nanos2 | 81 | 32.857 | Scophthalmus_maximus |
ENSGACG00000004930 | - | 51 | 57.143 | ENSSDUG00000016576 | nanos2 | 81 | 32.331 | Seriola_dumerili |
ENSGACG00000004930 | - | 100 | 53.595 | ENSSDUG00000007879 | - | 84 | 53.595 | Seriola_dumerili |
ENSGACG00000004930 | - | 100 | 95.000 | ENSSDUG00000003196 | - | 53 | 95.000 | Seriola_dumerili |
ENSGACG00000004930 | - | 100 | 53.595 | ENSSLDG00000021260 | - | 85 | 53.595 | Seriola_lalandi_dorsalis |
ENSGACG00000004930 | - | 100 | 95.000 | ENSSLDG00000009413 | - | 52 | 95.000 | Seriola_lalandi_dorsalis |
ENSGACG00000004930 | - | 97 | 38.182 | ENSSARG00000008966 | NANOS3 | 62 | 38.182 | Sorex_araneus |
ENSGACG00000004930 | - | 96 | 42.735 | ENSSPUG00000002566 | NANOS2 | 79 | 42.735 | Sphenodon_punctatus |
ENSGACG00000004930 | - | 98 | 43.119 | ENSSPUG00000009826 | NANOS3 | 58 | 43.119 | Sphenodon_punctatus |
ENSGACG00000004930 | - | 100 | 95.000 | ENSSPAG00000014569 | NANOS1 | 53 | 95.000 | Stegastes_partitus |
ENSGACG00000004930 | - | 94 | 36.800 | ENSSPAG00000003887 | nanos2 | 81 | 36.800 | Stegastes_partitus |
ENSGACG00000004930 | - | 95 | 41.071 | ENSSSCG00000003096 | NANOS2 | 81 | 41.071 | Sus_scrofa |
ENSGACG00000004930 | - | 97 | 39.091 | ENSSSCG00000013759 | NANOS3 | 64 | 42.609 | Sus_scrofa |
ENSGACG00000004930 | - | 98 | 36.111 | ENSTRUG00000017633 | nanos2 | 83 | 38.532 | Takifugu_rubripes |
ENSGACG00000004930 | - | 100 | 81.667 | ENSTNIG00000010543 | - | 90 | 81.667 | Tetraodon_nigroviridis |
ENSGACG00000004930 | - | 94 | 39.496 | ENSTNIG00000014063 | nanos3 | 84 | 39.496 | Tetraodon_nigroviridis |
ENSGACG00000004930 | - | 97 | 40.000 | ENSTBEG00000013729 | NANOS3 | 72 | 40.000 | Tupaia_belangeri |
ENSGACG00000004930 | - | 97 | 39.640 | ENSTTRG00000008361 | NANOS3 | 66 | 39.640 | Tursiops_truncatus |
ENSGACG00000004930 | - | 95 | 37.302 | ENSTTRG00000014315 | NANOS2 | 81 | 40.336 | Tursiops_truncatus |
ENSGACG00000004930 | - | 97 | 40.000 | ENSUAMG00000006804 | NANOS3 | 63 | 40.000 | Ursus_americanus |
ENSGACG00000004930 | - | 95 | 37.302 | ENSUAMG00000023170 | NANOS2 | 81 | 40.496 | Ursus_americanus |
ENSGACG00000004930 | - | 90 | 35.000 | ENSUMAG00000023699 | NANOS2 | 69 | 38.261 | Ursus_maritimus |
ENSGACG00000004930 | - | 97 | 40.000 | ENSUMAG00000004703 | NANOS3 | 61 | 40.000 | Ursus_maritimus |
ENSGACG00000004930 | - | 96 | 39.450 | ENSVPAG00000011497 | NANOS3 | 65 | 39.091 | Vicugna_pacos |
ENSGACG00000004930 | - | 96 | 37.008 | ENSVVUG00000002993 | NANOS2 | 82 | 37.008 | Vulpes_vulpes |
ENSGACG00000004930 | - | 97 | 41.739 | ENSVVUG00000026757 | NANOS3 | 64 | 41.739 | Vulpes_vulpes |
ENSGACG00000004930 | - | 95 | 37.931 | ENSXETG00000014552 | NANOS2 | 82 | 37.931 | Xenopus_tropicalis |
ENSGACG00000004930 | - | 98 | 37.097 | ENSXETG00000021874 | nanos3 | 84 | 37.097 | Xenopus_tropicalis |
ENSGACG00000004930 | - | 95 | 45.217 | ENSXETG00000024565 | nanos1 | 84 | 45.217 | Xenopus_tropicalis |
ENSGACG00000004930 | - | 95 | 33.588 | ENSXMAG00000020157 | - | 64 | 32.824 | Xiphophorus_maculatus |