Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSLAFP00000021028 | zf-nanos | PF05741.13 | 2.2e-25 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSLAFT00000014088 | NANOS2-201 | 426 | XM_003406665 | ENSLAFP00000021028 | 141 (aa) | XP_003406713 | G3TZM0 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSLAFG00000014090 | NANOS2 | 96 | 42.029 | ENSLAFG00000008480 | NANOS3 | 73 | 45.324 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSLAFG00000014090 | NANOS2 | 96 | 47.445 | ENSG00000187556 | NANOS3 | 76 | 47.445 | Homo_sapiens |
ENSLAFG00000014090 | NANOS2 | 100 | 81.560 | ENSG00000188425 | NANOS2 | 100 | 81.560 | Homo_sapiens |
ENSLAFG00000014090 | NANOS2 | 84 | 40.000 | ENSAPOG00000020274 | nanos2 | 80 | 41.045 | Acanthochromis_polyacanthus |
ENSLAFG00000014090 | NANOS2 | 96 | 47.826 | ENSAMEG00000012972 | NANOS3 | 75 | 47.826 | Ailuropoda_melanoleuca |
ENSLAFG00000014090 | NANOS2 | 96 | 39.706 | ENSACIG00000007105 | nanos2 | 82 | 39.706 | Amphilophus_citrinellus |
ENSLAFG00000014090 | NANOS2 | 80 | 40.517 | ENSAOCG00000009429 | nanos2 | 75 | 39.837 | Amphiprion_ocellaris |
ENSLAFG00000014090 | NANOS2 | 80 | 38.710 | ENSAPEG00000019139 | nanos2 | 76 | 41.322 | Amphiprion_percula |
ENSLAFG00000014090 | NANOS2 | 85 | 37.500 | ENSATEG00000009393 | nanos2 | 80 | 37.762 | Anabas_testudineus |
ENSLAFG00000014090 | NANOS2 | 99 | 51.049 | ENSACAG00000022918 | - | 99 | 50.704 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.471 | ENSACAG00000022321 | - | 97 | 51.079 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000026478 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.000 | ENSACAG00000024218 | - | 100 | 49.650 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000027196 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.370 | ENSACAG00000025729 | - | 100 | 51.748 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 50.735 | ENSACAG00000024003 | - | 97 | 50.360 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000026914 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000021948 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.370 | ENSACAG00000024434 | - | 100 | 51.748 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000023428 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000025307 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000027212 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000023823 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 97 | 52.174 | ENSACAG00000025452 | - | 97 | 51.773 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 97 | 52.174 | ENSACAG00000024524 | - | 97 | 51.773 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 52.206 | ENSACAG00000023813 | - | 97 | 52.206 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.471 | ENSACAG00000014502 | - | 97 | 51.079 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000026757 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 52.448 | ENSACAG00000026819 | - | 100 | 52.448 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.336 | ENSACAG00000025556 | - | 100 | 50.336 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.471 | ENSACAG00000024432 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000023855 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000025093 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.685 | ENSACAG00000024995 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.685 | ENSACAG00000026334 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 47.794 | ENSACAG00000022790 | - | 97 | 47.482 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000024972 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000027728 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 97 | 52.174 | ENSACAG00000026350 | - | 97 | 51.773 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.471 | ENSACAG00000028048 | - | 97 | 51.079 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000023774 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000026317 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000024364 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.748 | ENSACAG00000023519 | - | 100 | 51.748 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000026771 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 50.365 | ENSACAG00000022861 | - | 97 | 50.000 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000026679 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000025260 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000022675 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000023650 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000024639 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.694 | ENSACAG00000017474 | - | 100 | 50.350 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000027995 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 97 | 51.449 | ENSACAG00000026660 | - | 97 | 51.064 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000024504 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000027265 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000025655 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.825 | ENSACAG00000024370 | - | 97 | 51.471 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.350 | ENSACAG00000022322 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 52.055 | ENSACAG00000022088 | - | 100 | 52.448 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 97 | 52.174 | ENSACAG00000005197 | - | 97 | 51.773 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 52.941 | ENSACAG00000022207 | - | 97 | 52.941 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000027440 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 49.650 | ENSACAG00000027983 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000024274 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 97 | 52.174 | ENSACAG00000027568 | - | 97 | 51.773 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 51.471 | ENSACAG00000025632 | - | 97 | 51.079 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000024568 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 52.055 | ENSACAG00000026716 | - | 100 | 52.448 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 52.206 | ENSACAG00000025505 | - | 97 | 52.206 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 49.650 | ENSACAG00000022236 | - | 100 | 51.020 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000023803 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 50.350 | ENSACAG00000025044 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000022041 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000010268 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 54 | 46.753 | ENSACAG00000027867 | - | 95 | 46.753 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | ENSACAG00000023391 | - | 100 | 51.049 | Anolis_carolinensis |
ENSLAFG00000014090 | NANOS2 | 96 | 45.985 | ENSANAG00000025042 | NANOS3 | 78 | 46.528 | Aotus_nancymaae |
ENSLAFG00000014090 | NANOS2 | 80 | 39.823 | ENSACLG00000027005 | nanos2 | 67 | 39.823 | Astatotilapia_calliptera |
ENSLAFG00000014090 | NANOS2 | 96 | 35.838 | ENSAMXG00000030027 | NANOS1 | 93 | 36.416 | Astyanax_mexicanus |
ENSLAFG00000014090 | NANOS2 | 96 | 36.047 | ENSAMXG00000043091 | nanos1 | 93 | 36.628 | Astyanax_mexicanus |
ENSLAFG00000014090 | NANOS2 | 80 | 37.037 | ENSAMXG00000042358 | nanos2 | 76 | 37.037 | Astyanax_mexicanus |
ENSLAFG00000014090 | NANOS2 | 100 | 81.560 | ENSBTAG00000047505 | NANOS2 | 100 | 82.270 | Bos_taurus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSBTAG00000000399 | NANOS3 | 76 | 45.255 | Bos_taurus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.139 | ENSCJAG00000004388 | NANOS3 | 77 | 44.521 | Callithrix_jacchus |
ENSLAFG00000014090 | NANOS2 | 99 | 77.143 | ENSCJAG00000012141 | NANOS2 | 97 | 79.286 | Callithrix_jacchus |
ENSLAFG00000014090 | NANOS2 | 100 | 85.106 | ENSCAFG00000024541 | NANOS2 | 100 | 85.106 | Canis_familiaris |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSCAFG00000016592 | NANOS3 | 68 | 47.101 | Canis_familiaris |
ENSLAFG00000014090 | NANOS2 | 100 | 85.106 | ENSCAFG00020001772 | NANOS2 | 100 | 85.106 | Canis_lupus_dingo |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSCAFG00020006694 | NANOS3 | 68 | 47.101 | Canis_lupus_dingo |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSCHIG00000007837 | NANOS3 | 74 | 45.255 | Capra_hircus |
ENSLAFG00000014090 | NANOS2 | 100 | 80.851 | ENSCHIG00000012637 | NANOS2 | 100 | 81.560 | Capra_hircus |
ENSLAFG00000014090 | NANOS2 | 56 | 91.139 | ENSTSYG00000028873 | NANOS2 | 63 | 89.655 | Carlito_syrichta |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSTSYG00000026709 | NANOS3 | 75 | 44.056 | Carlito_syrichta |
ENSLAFG00000014090 | NANOS2 | 96 | 45.985 | ENSCAPG00000014339 | NANOS3 | 83 | 47.445 | Cavia_aperea |
ENSLAFG00000014090 | NANOS2 | 99 | 72.340 | ENSCAPG00000016771 | NANOS2 | 99 | 72.340 | Cavia_aperea |
ENSLAFG00000014090 | NANOS2 | 99 | 72.340 | ENSCPOG00000014969 | NANOS2 | 99 | 72.340 | Cavia_porcellus |
ENSLAFG00000014090 | NANOS2 | 96 | 46.429 | ENSCPOG00000020727 | NANOS3 | 75 | 46.429 | Cavia_porcellus |
ENSLAFG00000014090 | NANOS2 | 96 | 46.715 | ENSCCAG00000036253 | NANOS3 | 75 | 46.715 | Cebus_capucinus |
ENSLAFG00000014090 | NANOS2 | 96 | 40.764 | ENSCATG00000034885 | NANOS3 | 78 | 41.830 | Cercocebus_atys |
ENSLAFG00000014090 | NANOS2 | 100 | 78.014 | ENSCATG00000018951 | NANOS2 | 100 | 79.433 | Cercocebus_atys |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSCLAG00000015139 | NANOS3 | 74 | 45.714 | Chinchilla_lanigera |
ENSLAFG00000014090 | NANOS2 | 99 | 73.571 | ENSCLAG00000001832 | NANOS2 | 99 | 73.571 | Chinchilla_lanigera |
ENSLAFG00000014090 | NANOS2 | 96 | 41.139 | ENSCSAG00000006428 | NANOS3 | 79 | 41.615 | Chlorocebus_sabaeus |
ENSLAFG00000014090 | NANOS2 | 100 | 78.723 | ENSCSAG00000019629 | NANOS2 | 100 | 80.851 | Chlorocebus_sabaeus |
ENSLAFG00000014090 | NANOS2 | 100 | 83.688 | ENSCHOG00000001937 | NANOS2 | 100 | 85.816 | Choloepus_hoffmanni |
ENSLAFG00000014090 | NANOS2 | 98 | 43.662 | ENSCPBG00000023819 | NANOS3 | 95 | 43.662 | Chrysemys_picta_bellii |
ENSLAFG00000014090 | NANOS2 | 54 | 48.101 | ENSCPBG00000002172 | NANOS1 | 65 | 48.101 | Chrysemys_picta_bellii |
ENSLAFG00000014090 | NANOS2 | 96 | 53.623 | ENSCPBG00000007141 | NANOS2 | 87 | 53.623 | Chrysemys_picta_bellii |
ENSLAFG00000014090 | NANOS2 | 100 | 78.723 | ENSCANG00000012014 | NANOS2 | 100 | 80.142 | Colobus_angolensis_palliatus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.985 | ENSCANG00000034930 | NANOS3 | 79 | 43.421 | Colobus_angolensis_palliatus |
ENSLAFG00000014090 | NANOS2 | 100 | 69.504 | ENSCGRG00001013726 | Nanos2 | 100 | 69.504 | Cricetulus_griseus_chok1gshd |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSCGRG00001023851 | Nanos3 | 75 | 45.255 | Cricetulus_griseus_chok1gshd |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSCGRG00000017734 | Nanos3 | 73 | 45.255 | Cricetulus_griseus_crigri |
ENSLAFG00000014090 | NANOS2 | 100 | 69.504 | ENSCGRG00000019170 | Nanos2 | 100 | 69.504 | Cricetulus_griseus_crigri |
ENSLAFG00000014090 | NANOS2 | 80 | 41.129 | ENSCSEG00000017157 | nanos2 | 77 | 41.129 | Cynoglossus_semilaevis |
ENSLAFG00000014090 | NANOS2 | 54 | 50.000 | ENSCVAG00000019077 | - | 87 | 34.940 | Cyprinodon_variegatus |
ENSLAFG00000014090 | NANOS2 | 80 | 46.491 | ENSCVAG00000006947 | nanos2 | 86 | 46.617 | Cyprinodon_variegatus |
ENSLAFG00000014090 | NANOS2 | 89 | 40.441 | ENSDARG00000068255 | nanos3 | 85 | 40.441 | Danio_rerio |
ENSLAFG00000014090 | NANOS2 | 80 | 37.795 | ENSDARG00000116802 | nanos2 | 82 | 38.017 | Danio_rerio |
ENSLAFG00000014090 | NANOS2 | 100 | 78.723 | ENSDNOG00000044718 | NANOS2 | 100 | 80.851 | Dasypus_novemcinctus |
ENSLAFG00000014090 | NANOS2 | 96 | 47.101 | ENSEASG00005015313 | NANOS3 | 78 | 47.101 | Equus_asinus_asinus |
ENSLAFG00000014090 | NANOS2 | 100 | 83.688 | ENSEASG00005014235 | NANOS2 | 100 | 85.816 | Equus_asinus_asinus |
ENSLAFG00000014090 | NANOS2 | 96 | 47.101 | ENSECAG00000016293 | NANOS3 | 74 | 47.101 | Equus_caballus |
ENSLAFG00000014090 | NANOS2 | 100 | 83.688 | ENSECAG00000006033 | NANOS2 | 100 | 85.816 | Equus_caballus |
ENSLAFG00000014090 | NANOS2 | 96 | 46.259 | ENSEEUG00000009900 | NANOS3 | 87 | 46.259 | Erinaceus_europaeus |
ENSLAFG00000014090 | NANOS2 | 100 | 80.851 | ENSEEUG00000009930 | NANOS2 | 100 | 80.851 | Erinaceus_europaeus |
ENSLAFG00000014090 | NANOS2 | 87 | 43.443 | ENSELUG00000019091 | - | 82 | 43.443 | Esox_lucius |
ENSLAFG00000014090 | NANOS2 | 81 | 38.519 | ENSELUG00000016582 | - | 76 | 38.519 | Esox_lucius |
ENSLAFG00000014090 | NANOS2 | 81 | 41.912 | ENSELUG00000016082 | nanos3 | 82 | 41.912 | Esox_lucius |
ENSLAFG00000014090 | NANOS2 | 100 | 87.234 | ENSFCAG00000027661 | NANOS2 | 100 | 87.943 | Felis_catus |
ENSLAFG00000014090 | NANOS2 | 61 | 50.000 | ENSFCAG00000003717 | NANOS3 | 73 | 43.182 | Felis_catus |
ENSLAFG00000014090 | NANOS2 | 99 | 72.727 | ENSFDAG00000016342 | NANOS2 | 99 | 72.727 | Fukomys_damarensis |
ENSLAFG00000014090 | NANOS2 | 96 | 45.714 | ENSFDAG00000018459 | NANOS3 | 74 | 45.714 | Fukomys_damarensis |
ENSLAFG00000014090 | NANOS2 | 87 | 36.986 | ENSFHEG00000017084 | - | 82 | 36.986 | Fundulus_heteroclitus |
ENSLAFG00000014090 | NANOS2 | 94 | 39.850 | ENSFHEG00000012835 | NANOS2 | 85 | 43.103 | Fundulus_heteroclitus |
ENSLAFG00000014090 | NANOS2 | 82 | 39.130 | ENSGMOG00000015980 | - | 96 | 39.130 | Gadus_morhua |
ENSLAFG00000014090 | NANOS2 | 62 | 47.778 | ENSGMOG00000020465 | nanos1 | 98 | 47.778 | Gadus_morhua |
ENSLAFG00000014090 | NANOS2 | 62 | 48.864 | ENSGMOG00000016541 | nanos3 | 87 | 48.864 | Gadus_morhua |
ENSLAFG00000014090 | NANOS2 | 80 | 41.593 | ENSGAFG00000006000 | - | 66 | 40.708 | Gambusia_affinis |
ENSLAFG00000014090 | NANOS2 | 82 | 35.659 | ENSGACG00000004930 | - | 95 | 35.659 | Gasterosteus_aculeatus |
ENSLAFG00000014090 | NANOS2 | 90 | 40.141 | ENSGACG00000019003 | nanos3 | 88 | 40.141 | Gasterosteus_aculeatus |
ENSLAFG00000014090 | NANOS2 | 62 | 48.889 | ENSGACG00000016692 | - | 98 | 48.889 | Gasterosteus_aculeatus |
ENSLAFG00000014090 | NANOS2 | 95 | 45.652 | ENSGAGG00000005591 | - | 73 | 45.652 | Gopherus_agassizii |
ENSLAFG00000014090 | NANOS2 | 54 | 46.835 | ENSGAGG00000015730 | NANOS1 | 56 | 45.361 | Gopherus_agassizii |
ENSLAFG00000014090 | NANOS2 | 92 | 51.538 | ENSGAGG00000009500 | NANOS2 | 76 | 51.538 | Gopherus_agassizii |
ENSLAFG00000014090 | NANOS2 | 96 | 42.949 | ENSGGOG00000000964 | NANOS3 | 79 | 42.949 | Gorilla_gorilla |
ENSLAFG00000014090 | NANOS2 | 100 | 80.142 | ENSGGOG00000013447 | NANOS2 | 100 | 82.270 | Gorilla_gorilla |
ENSLAFG00000014090 | NANOS2 | 95 | 36.364 | ENSHBUG00000016772 | nanos2 | 87 | 38.000 | Haplochromis_burtoni |
ENSLAFG00000014090 | NANOS2 | 96 | 45.000 | ENSHGLG00000019378 | NANOS3 | 71 | 45.000 | Heterocephalus_glaber_female |
ENSLAFG00000014090 | NANOS2 | 96 | 45.000 | ENSHGLG00100012652 | NANOS3 | 71 | 45.000 | Heterocephalus_glaber_male |
ENSLAFG00000014090 | NANOS2 | 95 | 40.816 | ENSHCOG00000014790 | nanos3 | 84 | 40.816 | Hippocampus_comes |
ENSLAFG00000014090 | NANOS2 | 87 | 40.458 | ENSIPUG00000012246 | - | 70 | 40.458 | Ictalurus_punctatus |
ENSLAFG00000014090 | NANOS2 | 91 | 40.559 | ENSIPUG00000024113 | nanos2 | 86 | 40.559 | Ictalurus_punctatus |
ENSLAFG00000014090 | NANOS2 | 91 | 33.939 | ENSIPUG00000008857 | nanos3 | 88 | 34.146 | Ictalurus_punctatus |
ENSLAFG00000014090 | NANOS2 | 96 | 38.889 | ENSIPUG00000007200 | - | 88 | 38.889 | Ictalurus_punctatus |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSSTOG00000024797 | NANOS3 | 73 | 44.526 | Ictidomys_tridecemlineatus |
ENSLAFG00000014090 | NANOS2 | 100 | 75.887 | ENSSTOG00000021724 | NANOS2 | 100 | 75.887 | Ictidomys_tridecemlineatus |
ENSLAFG00000014090 | NANOS2 | 96 | 42.336 | ENSJJAG00000000545 | Nanos3 | 73 | 44.928 | Jaculus_jaculus |
ENSLAFG00000014090 | NANOS2 | 96 | 32.955 | ENSLBEG00000027516 | - | 93 | 32.386 | Labrus_bergylta |
ENSLAFG00000014090 | NANOS2 | 90 | 40.876 | ENSLBEG00000018836 | nanos2 | 91 | 40.876 | Labrus_bergylta |
ENSLAFG00000014090 | NANOS2 | 92 | 44.586 | ENSLACG00000014980 | - | 89 | 44.586 | Latimeria_chalumnae |
ENSLAFG00000014090 | NANOS2 | 96 | 38.406 | ENSLACG00000013286 | NANOS3 | 95 | 38.406 | Latimeria_chalumnae |
ENSLAFG00000014090 | NANOS2 | 100 | 79.433 | ENSMFAG00000017215 | NANOS2 | 100 | 80.851 | Macaca_fascicularis |
ENSLAFG00000014090 | NANOS2 | 96 | 43.421 | ENSMFAG00000040009 | NANOS3 | 78 | 43.421 | Macaca_fascicularis |
ENSLAFG00000014090 | NANOS2 | 96 | 42.484 | ENSMMUG00000008316 | NANOS3 | 78 | 43.137 | Macaca_mulatta |
ENSLAFG00000014090 | NANOS2 | 100 | 79.433 | ENSMMUG00000008103 | NANOS2 | 100 | 80.851 | Macaca_mulatta |
ENSLAFG00000014090 | NANOS2 | 96 | 43.421 | ENSMNEG00000028898 | NANOS3 | 78 | 43.421 | Macaca_nemestrina |
ENSLAFG00000014090 | NANOS2 | 100 | 79.433 | ENSMNEG00000004633 | NANOS2 | 100 | 80.851 | Macaca_nemestrina |
ENSLAFG00000014090 | NANOS2 | 100 | 78.014 | ENSMLEG00000001810 | NANOS2 | 100 | 79.433 | Mandrillus_leucophaeus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSMLEG00000033135 | NANOS3 | 75 | 46.715 | Mandrillus_leucophaeus |
ENSLAFG00000014090 | NANOS2 | 89 | 38.060 | ENSMAMG00000005577 | NANOS2 | 83 | 38.060 | Mastacembelus_armatus |
ENSLAFG00000014090 | NANOS2 | 80 | 37.594 | ENSMZEG00005003043 | - | 78 | 39.535 | Maylandia_zebra |
ENSLAFG00000014090 | NANOS2 | 80 | 37.594 | ENSMZEG00005028148 | - | 78 | 39.535 | Maylandia_zebra |
ENSLAFG00000014090 | NANOS2 | 80 | 37.594 | ENSMZEG00005024641 | - | 78 | 39.535 | Maylandia_zebra |
ENSLAFG00000014090 | NANOS2 | 95 | 37.179 | ENSMZEG00005021987 | - | 87 | 38.000 | Maylandia_zebra |
ENSLAFG00000014090 | NANOS2 | 80 | 37.594 | ENSMZEG00005028154 | - | 78 | 39.535 | Maylandia_zebra |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSMAUG00000008396 | Nanos3 | 73 | 45.255 | Mesocricetus_auratus |
ENSLAFG00000014090 | NANOS2 | 96 | 47.101 | ENSMICG00000030950 | NANOS3 | 75 | 47.101 | Microcebus_murinus |
ENSLAFG00000014090 | NANOS2 | 100 | 68.794 | ENSMOCG00000001985 | Nanos2 | 100 | 68.794 | Microtus_ochrogaster |
ENSLAFG00000014090 | NANOS2 | 96 | 43.066 | ENSMOCG00000000059 | Nanos3 | 73 | 44.526 | Microtus_ochrogaster |
ENSLAFG00000014090 | NANOS2 | 82 | 42.149 | ENSMMOG00000009827 | nanos2 | 77 | 42.149 | Mola_mola |
ENSLAFG00000014090 | NANOS2 | 99 | 46.099 | ENSMODG00000023964 | - | 98 | 46.099 | Monodelphis_domestica |
ENSLAFG00000014090 | NANOS2 | 90 | 40.000 | ENSMALG00000005945 | nanos3 | 84 | 40.000 | Monopterus_albus |
ENSLAFG00000014090 | NANOS2 | 89 | 40.157 | ENSMALG00000011545 | - | 66 | 40.157 | Monopterus_albus |
ENSLAFG00000014090 | NANOS2 | 90 | 43.511 | ENSMALG00000006299 | nanos2 | 82 | 43.511 | Monopterus_albus |
ENSLAFG00000014090 | NANOS2 | 96 | 42.336 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 42.336 | Mus_caroli |
ENSLAFG00000014090 | NANOS2 | 100 | 70.213 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 70.213 | Mus_caroli |
ENSLAFG00000014090 | NANOS2 | 100 | 70.922 | ENSMUSG00000051965 | Nanos2 | 100 | 70.922 | Mus_musculus |
ENSLAFG00000014090 | NANOS2 | 96 | 42.336 | ENSMUSG00000056155 | Nanos3 | 75 | 42.336 | Mus_musculus |
ENSLAFG00000014090 | NANOS2 | 100 | 68.085 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 68.085 | Mus_pahari |
ENSLAFG00000014090 | NANOS2 | 96 | 42.336 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 42.336 | Mus_pahari |
ENSLAFG00000014090 | NANOS2 | 96 | 42.336 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 42.336 | Mus_spretus |
ENSLAFG00000014090 | NANOS2 | 100 | 70.213 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 70.213 | Mus_spretus |
ENSLAFG00000014090 | NANOS2 | 100 | 82.979 | ENSMPUG00000019371 | NANOS2 | 100 | 85.106 | Mustela_putorius_furo |
ENSLAFG00000014090 | NANOS2 | 96 | 45.652 | ENSMPUG00000003282 | NANOS3 | 73 | 45.652 | Mustela_putorius_furo |
ENSLAFG00000014090 | NANOS2 | 96 | 47.101 | ENSMLUG00000012971 | NANOS3 | 75 | 47.101 | Myotis_lucifugus |
ENSLAFG00000014090 | NANOS2 | 96 | 44.928 | ENSNGAG00000020486 | Nanos3 | 73 | 44.928 | Nannospalax_galili |
ENSLAFG00000014090 | NANOS2 | 96 | 33.929 | ENSNGAG00000023539 | Nanos1 | 81 | 33.929 | Nannospalax_galili |
ENSLAFG00000014090 | NANOS2 | 96 | 34.320 | ENSNBRG00000014018 | - | 90 | 34.320 | Neolamprologus_brichardi |
ENSLAFG00000014090 | NANOS2 | 80 | 40.708 | ENSNBRG00000018838 | NANOS2 | 64 | 40.708 | Neolamprologus_brichardi |
ENSLAFG00000014090 | NANOS2 | 96 | 47.445 | ENSNLEG00000034574 | NANOS3 | 75 | 47.445 | Nomascus_leucogenys |
ENSLAFG00000014090 | NANOS2 | 96 | 47.403 | ENSOPRG00000007211 | - | 75 | 47.403 | Ochotona_princeps |
ENSLAFG00000014090 | NANOS2 | 100 | 71.831 | ENSOPRG00000010043 | NANOS2 | 100 | 73.944 | Ochotona_princeps |
ENSLAFG00000014090 | NANOS2 | 96 | 45.652 | ENSODEG00000008907 | NANOS3 | 71 | 45.652 | Octodon_degus |
ENSLAFG00000014090 | NANOS2 | 80 | 38.346 | ENSONIG00000005777 | nanos2 | 78 | 40.310 | Oreochromis_niloticus |
ENSLAFG00000014090 | NANOS2 | 97 | 40.714 | ENSOANG00000013042 | - | 97 | 40.714 | Ornithorhynchus_anatinus |
ENSLAFG00000014090 | NANOS2 | 53 | 55.263 | ENSOANG00000004407 | - | 55 | 52.000 | Ornithorhynchus_anatinus |
ENSLAFG00000014090 | NANOS2 | 100 | 80.142 | ENSOCUG00000023755 | NANOS2 | 100 | 80.142 | Oryctolagus_cuniculus |
ENSLAFG00000014090 | NANOS2 | 99 | 44.286 | ENSOCUG00000014802 | NANOS3 | 77 | 45.255 | Oryctolagus_cuniculus |
ENSLAFG00000014090 | NANOS2 | 80 | 42.373 | ENSORLG00000009335 | nanos2 | 76 | 42.373 | Oryzias_latipes |
ENSLAFG00000014090 | NANOS2 | 94 | 36.095 | ENSORLG00000027849 | nanos1a | 90 | 36.095 | Oryzias_latipes |
ENSLAFG00000014090 | NANOS2 | 70 | 45.794 | ENSORLG00000012018 | nanos3 | 53 | 45.794 | Oryzias_latipes |
ENSLAFG00000014090 | NANOS2 | 70 | 45.794 | ENSORLG00020004967 | nanos3 | 53 | 45.794 | Oryzias_latipes_hni |
ENSLAFG00000014090 | NANOS2 | 80 | 43.220 | ENSORLG00020013284 | nanos2 | 76 | 43.220 | Oryzias_latipes_hni |
ENSLAFG00000014090 | NANOS2 | 94 | 36.095 | ENSORLG00020008713 | - | 90 | 36.095 | Oryzias_latipes_hni |
ENSLAFG00000014090 | NANOS2 | 94 | 35.882 | ENSORLG00015000175 | - | 90 | 35.882 | Oryzias_latipes_hsok |
ENSLAFG00000014090 | NANOS2 | 90 | 35.955 | ENSORLG00015003631 | nanos3 | 90 | 35.955 | Oryzias_latipes_hsok |
ENSLAFG00000014090 | NANOS2 | 80 | 41.525 | ENSORLG00015013150 | nanos2 | 76 | 42.373 | Oryzias_latipes_hsok |
ENSLAFG00000014090 | NANOS2 | 84 | 34.177 | ENSOMEG00000008866 | NANOS1 | 86 | 34.177 | Oryzias_melastigma |
ENSLAFG00000014090 | NANOS2 | 82 | 39.831 | ENSOMEG00000006512 | nanos2 | 79 | 41.525 | Oryzias_melastigma |
ENSLAFG00000014090 | NANOS2 | 100 | 80.851 | ENSOGAG00000032290 | NANOS2 | 100 | 81.560 | Otolemur_garnettii |
ENSLAFG00000014090 | NANOS2 | 96 | 45.652 | ENSOGAG00000007190 | NANOS3 | 74 | 45.652 | Otolemur_garnettii |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSOARG00000008043 | NANOS3 | 72 | 44.526 | Ovis_aries |
ENSLAFG00000014090 | NANOS2 | 100 | 80.851 | ENSOARG00000011467 | NANOS2 | 100 | 81.560 | Ovis_aries |
ENSLAFG00000014090 | NANOS2 | 100 | 81.560 | ENSPPAG00000020568 | NANOS2 | 100 | 81.560 | Pan_paniscus |
ENSLAFG00000014090 | NANOS2 | 96 | 47.445 | ENSPPAG00000032168 | NANOS3 | 76 | 47.445 | Pan_paniscus |
ENSLAFG00000014090 | NANOS2 | 100 | 86.525 | ENSPPRG00000015211 | NANOS2 | 100 | 87.943 | Panthera_pardus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSPPRG00000009573 | NANOS3 | 75 | 47.826 | Panthera_pardus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSPTIG00000000325 | NANOS3 | 75 | 47.826 | Panthera_tigris_altaica |
ENSLAFG00000014090 | NANOS2 | 91 | 84.375 | ENSPTIG00000015372 | NANOS2 | 90 | 86.719 | Panthera_tigris_altaica |
ENSLAFG00000014090 | NANOS2 | 100 | 81.560 | ENSPTRG00000011172 | NANOS2 | 100 | 81.560 | Pan_troglodytes |
ENSLAFG00000014090 | NANOS2 | 96 | 44.079 | ENSPTRG00000010568 | NANOS3 | 78 | 44.079 | Pan_troglodytes |
ENSLAFG00000014090 | NANOS2 | 100 | 78.014 | ENSPANG00000009327 | NANOS2 | 100 | 79.433 | Papio_anubis |
ENSLAFG00000014090 | NANOS2 | 96 | 42.105 | ENSPANG00000015037 | NANOS3 | 76 | 42.105 | Papio_anubis |
ENSLAFG00000014090 | NANOS2 | 85 | 35.938 | ENSPKIG00000006934 | - | 86 | 39.062 | Paramormyrops_kingsleyae |
ENSLAFG00000014090 | NANOS2 | 90 | 40.299 | ENSPKIG00000006905 | - | 60 | 40.299 | Paramormyrops_kingsleyae |
ENSLAFG00000014090 | NANOS2 | 90 | 35.762 | ENSPKIG00000009354 | nanos3 | 77 | 35.762 | Paramormyrops_kingsleyae |
ENSLAFG00000014090 | NANOS2 | 96 | 50.735 | ENSPSIG00000007082 | NANOS2 | 96 | 50.735 | Pelodiscus_sinensis |
ENSLAFG00000014090 | NANOS2 | 54 | 48.101 | ENSPSIG00000000407 | - | 96 | 48.101 | Pelodiscus_sinensis |
ENSLAFG00000014090 | NANOS2 | 86 | 44.531 | ENSPMGG00000023681 | nanos2 | 74 | 44.531 | Periophthalmus_magnuspinnatus |
ENSLAFG00000014090 | NANOS2 | 100 | 70.213 | ENSPEMG00000014999 | Nanos2 | 100 | 70.213 | Peromyscus_maniculatus_bairdii |
ENSLAFG00000014090 | NANOS2 | 62 | 47.778 | ENSPFOG00000020533 | - | 98 | 47.778 | Poecilia_formosa |
ENSLAFG00000014090 | NANOS2 | 84 | 33.333 | ENSPFOG00000020721 | NANOS2 | 84 | 36.296 | Poecilia_formosa |
ENSLAFG00000014090 | NANOS2 | 80 | 40.351 | ENSPLAG00000007786 | NANOS2 | 81 | 40.351 | Poecilia_latipinna |
ENSLAFG00000014090 | NANOS2 | 82 | 40.517 | ENSPMEG00000005681 | NANOS2 | 80 | 40.517 | Poecilia_mexicana |
ENSLAFG00000014090 | NANOS2 | 80 | 42.478 | ENSPREG00000020465 | nanos2 | 81 | 42.478 | Poecilia_reticulata |
ENSLAFG00000014090 | NANOS2 | 96 | 41.772 | ENSPPYG00000009627 | NANOS3 | 78 | 41.772 | Pongo_abelii |
ENSLAFG00000014090 | NANOS2 | 100 | 80.142 | ENSPPYG00000010138 | NANOS2 | 100 | 82.270 | Pongo_abelii |
ENSLAFG00000014090 | NANOS2 | 100 | 86.525 | ENSPCAG00000005087 | NANOS2 | 100 | 86.525 | Procavia_capensis |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSPCOG00000018814 | NANOS3 | 75 | 45.255 | Propithecus_coquereli |
ENSLAFG00000014090 | NANOS2 | 100 | 81.560 | ENSPVAG00000001363 | NANOS2 | 100 | 85.106 | Pteropus_vampyrus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSPVAG00000017538 | NANOS3 | 75 | 47.101 | Pteropus_vampyrus |
ENSLAFG00000014090 | NANOS2 | 80 | 41.593 | ENSPNYG00000004545 | NANOS2 | 76 | 41.593 | Pundamilia_nyererei |
ENSLAFG00000014090 | NANOS2 | 95 | 39.706 | ENSPNAG00000002259 | nanos3 | 84 | 36.538 | Pygocentrus_nattereri |
ENSLAFG00000014090 | NANOS2 | 79 | 34.194 | ENSPNAG00000017440 | nanos2 | 70 | 34.194 | Pygocentrus_nattereri |
ENSLAFG00000014090 | NANOS2 | 96 | 43.066 | ENSRNOG00000031593 | Nanos3 | 73 | 43.066 | Rattus_norvegicus |
ENSLAFG00000014090 | NANOS2 | 100 | 72.535 | ENSRNOG00000038088 | Nanos2 | 100 | 72.535 | Rattus_norvegicus |
ENSLAFG00000014090 | NANOS2 | 96 | 43.421 | ENSRBIG00000037377 | NANOS3 | 79 | 42.763 | Rhinopithecus_bieti |
ENSLAFG00000014090 | NANOS2 | 100 | 78.723 | ENSRBIG00000023726 | NANOS2 | 100 | 80.142 | Rhinopithecus_bieti |
ENSLAFG00000014090 | NANOS2 | 100 | 79.433 | ENSRROG00000014903 | NANOS2 | 100 | 79.433 | Rhinopithecus_roxellana |
ENSLAFG00000014090 | NANOS2 | 96 | 42.484 | ENSRROG00000032642 | NANOS3 | 79 | 42.484 | Rhinopithecus_roxellana |
ENSLAFG00000014090 | NANOS2 | 96 | 42.759 | ENSSBOG00000020970 | NANOS3 | 76 | 44.828 | Saimiri_boliviensis_boliviensis |
ENSLAFG00000014090 | NANOS2 | 100 | 67.114 | ENSSHAG00000017034 | NANOS2 | 100 | 67.114 | Sarcophilus_harrisii |
ENSLAFG00000014090 | NANOS2 | 99 | 40.714 | ENSSHAG00000012099 | - | 98 | 40.714 | Sarcophilus_harrisii |
ENSLAFG00000014090 | NANOS2 | 99 | 45.455 | ENSSHAG00000010756 | - | 98 | 45.455 | Sarcophilus_harrisii |
ENSLAFG00000014090 | NANOS2 | 91 | 36.735 | ENSSFOG00015013452 | nanos3 | 97 | 36.735 | Scleropages_formosus |
ENSLAFG00000014090 | NANOS2 | 82 | 39.130 | ENSSFOG00015007586 | - | 77 | 39.130 | Scleropages_formosus |
ENSLAFG00000014090 | NANOS2 | 80 | 36.434 | ENSSMAG00000013915 | nanos2 | 77 | 38.636 | Scophthalmus_maximus |
ENSLAFG00000014090 | NANOS2 | 80 | 40.625 | ENSSDUG00000016576 | nanos2 | 78 | 40.625 | Seriola_dumerili |
ENSLAFG00000014090 | NANOS2 | 80 | 40.458 | ENSSLDG00000013795 | nanos2 | 78 | 40.458 | Seriola_lalandi_dorsalis |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSSARG00000008966 | NANOS3 | 73 | 44.526 | Sorex_araneus |
ENSLAFG00000014090 | NANOS2 | 100 | 55.782 | ENSSPUG00000002566 | NANOS2 | 100 | 55.782 | Sphenodon_punctatus |
ENSLAFG00000014090 | NANOS2 | 97 | 40.714 | ENSSPUG00000009826 | NANOS3 | 68 | 40.714 | Sphenodon_punctatus |
ENSLAFG00000014090 | NANOS2 | 80 | 41.600 | ENSSPAG00000003887 | nanos2 | 81 | 41.600 | Stegastes_partitus |
ENSLAFG00000014090 | NANOS2 | 100 | 82.979 | ENSSSCG00000003096 | NANOS2 | 100 | 82.979 | Sus_scrofa |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSSSCG00000013759 | NANOS3 | 75 | 44.526 | Sus_scrofa |
ENSLAFG00000014090 | NANOS2 | 83 | 35.043 | ENSTRUG00000017633 | nanos2 | 82 | 38.462 | Takifugu_rubripes |
ENSLAFG00000014090 | NANOS2 | 84 | 36.364 | ENSTNIG00000010543 | - | 88 | 36.364 | Tetraodon_nigroviridis |
ENSLAFG00000014090 | NANOS2 | 87 | 43.846 | ENSTNIG00000014063 | nanos3 | 91 | 43.846 | Tetraodon_nigroviridis |
ENSLAFG00000014090 | NANOS2 | 96 | 44.928 | ENSTBEG00000013729 | NANOS3 | 86 | 44.928 | Tupaia_belangeri |
ENSLAFG00000014090 | NANOS2 | 100 | 80.851 | ENSTTRG00000014315 | NANOS2 | 100 | 83.688 | Tursiops_truncatus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.985 | ENSTTRG00000008361 | NANOS3 | 78 | 45.985 | Tursiops_truncatus |
ENSLAFG00000014090 | NANOS2 | 100 | 82.979 | ENSUAMG00000023170 | NANOS2 | 100 | 85.106 | Ursus_americanus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSUAMG00000006804 | NANOS3 | 75 | 48.551 | Ursus_americanus |
ENSLAFG00000014090 | NANOS2 | 81 | 78.947 | ENSUMAG00000023699 | NANOS2 | 73 | 81.579 | Ursus_maritimus |
ENSLAFG00000014090 | NANOS2 | 96 | 45.255 | ENSUMAG00000004703 | NANOS3 | 73 | 48.551 | Ursus_maritimus |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSVPAG00000011497 | NANOS3 | 76 | 44.526 | Vicugna_pacos |
ENSLAFG00000014090 | NANOS2 | 96 | 44.526 | ENSVVUG00000026757 | NANOS3 | 76 | 47.101 | Vulpes_vulpes |
ENSLAFG00000014090 | NANOS2 | 100 | 85.816 | ENSVVUG00000002993 | NANOS2 | 100 | 85.816 | Vulpes_vulpes |
ENSLAFG00000014090 | NANOS2 | 99 | 38.776 | ENSXETG00000021874 | nanos3 | 99 | 38.776 | Xenopus_tropicalis |
ENSLAFG00000014090 | NANOS2 | 81 | 40.351 | ENSXETG00000024565 | nanos1 | 84 | 40.351 | Xenopus_tropicalis |
ENSLAFG00000014090 | NANOS2 | 96 | 43.066 | ENSXETG00000014552 | NANOS2 | 97 | 43.066 | Xenopus_tropicalis |
ENSLAFG00000014090 | NANOS2 | 80 | 35.338 | ENSXMAG00000020157 | - | 65 | 35.075 | Xiphophorus_maculatus |