Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSACAP00000020171 | zf-nanos | PF05741.13 | 3.4e-25 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSACAT00000022952 | - | 399 | - | ENSACAP00000020171 | 132 (aa) | - | H9GTL0 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSACAG00000027983 | - | 96 | 83.721 | ENSACAG00000022790 | - | 98 | 83.721 |
ENSACAG00000027983 | - | 100 | 90.152 | ENSACAG00000023519 | - | 100 | 90.152 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000024568 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 89.147 | ENSACAG00000028048 | - | 98 | 89.147 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000025260 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000025307 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000024370 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 100 | 75.524 | ENSACAG00000025556 | - | 100 | 75.524 |
ENSACAG00000027983 | - | 96 | 89.147 | ENSACAG00000022321 | - | 98 | 89.147 |
ENSACAG00000027983 | - | 96 | 85.075 | ENSACAG00000022861 | - | 99 | 85.075 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000021948 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000023391 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 98 | 83.942 | ENSACAG00000005197 | - | 100 | 83.942 |
ENSACAG00000027983 | - | 100 | 96.970 | ENSACAG00000026716 | - | 100 | 96.970 |
ENSACAG00000027983 | - | 100 | 95.455 | ENSACAG00000022236 | - | 100 | 95.455 |
ENSACAG00000027983 | - | 98 | 83.942 | ENSACAG00000025452 | - | 100 | 83.942 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000027265 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 98 | 86.861 | ENSACAG00000022918 | - | 99 | 86.861 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000022041 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000010268 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 89.394 | ENSACAG00000026819 | - | 100 | 89.394 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000023428 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000026679 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 100 | 95.455 | ENSACAG00000025729 | - | 100 | 95.455 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000024364 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000024504 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 98 | 83.942 | ENSACAG00000024524 | - | 100 | 83.942 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000026478 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000024274 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000025655 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 98 | 83.942 | ENSACAG00000026350 | - | 100 | 83.942 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000026757 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 98 | 83.212 | ENSACAG00000026660 | - | 100 | 83.212 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000024639 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000025093 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 89.147 | ENSACAG00000025632 | - | 98 | 89.147 |
ENSACAG00000027983 | - | 58 | 48.718 | ENSACAG00000027867 | - | 96 | 48.718 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000024972 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 87.597 | ENSACAG00000024003 | - | 98 | 87.597 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000027728 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000023855 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000017474 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 100 | 84.892 | ENSACAG00000024218 | - | 100 | 84.892 |
ENSACAG00000027983 | - | 100 | 96.970 | ENSACAG00000025044 | - | 100 | 96.970 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000026914 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000022675 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000023823 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 98 | 83.942 | ENSACAG00000027568 | - | 100 | 83.942 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000027995 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 94.697 | ENSACAG00000024995 | - | 100 | 94.697 |
ENSACAG00000027983 | - | 96 | 89.147 | ENSACAG00000014502 | - | 98 | 89.147 |
ENSACAG00000027983 | - | 100 | 95.455 | ENSACAG00000022322 | - | 100 | 95.455 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000023803 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000023650 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000027196 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 100 | 97.727 | ENSACAG00000022088 | - | 100 | 97.727 |
ENSACAG00000027983 | - | 96 | 86.923 | ENSACAG00000025505 | - | 98 | 84.328 |
ENSACAG00000027983 | - | 96 | 86.923 | ENSACAG00000023813 | - | 98 | 85.385 |
ENSACAG00000027983 | - | 100 | 85.612 | ENSACAG00000023774 | - | 100 | 85.612 |
ENSACAG00000027983 | - | 96 | 86.567 | ENSACAG00000026771 | - | 99 | 86.567 |
ENSACAG00000027983 | - | 96 | 89.764 | ENSACAG00000022207 | - | 98 | 89.764 |
ENSACAG00000027983 | - | 100 | 87.050 | ENSACAG00000027440 | - | 100 | 87.050 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000026317 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 100 | 95.455 | ENSACAG00000024434 | - | 100 | 95.455 |
ENSACAG00000027983 | - | 100 | 96.212 | ENSACAG00000026334 | - | 100 | 96.212 |
ENSACAG00000027983 | - | 100 | 86.331 | ENSACAG00000027212 | - | 100 | 86.331 |
ENSACAG00000027983 | - | 96 | 88.189 | ENSACAG00000024432 | - | 98 | 88.189 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSACAG00000027983 | - | 100 | 53.571 | ENSG00000188425 | NANOS2 | 100 | 52.857 | Homo_sapiens |
ENSACAG00000027983 | - | 95 | 42.748 | ENSG00000187556 | NANOS3 | 76 | 42.748 | Homo_sapiens |
ENSACAG00000027983 | - | 81 | 37.037 | ENSAPOG00000020274 | nanos2 | 80 | 32.331 | Acanthochromis_polyacanthus |
ENSACAG00000027983 | - | 95 | 43.077 | ENSAMEG00000012972 | NANOS3 | 75 | 43.077 | Ailuropoda_melanoleuca |
ENSACAG00000027983 | - | 94 | 41.129 | ENSACIG00000007105 | nanos2 | 82 | 41.129 | Amphilophus_citrinellus |
ENSACAG00000027983 | - | 83 | 40.000 | ENSAOCG00000009429 | nanos2 | 80 | 40.000 | Amphiprion_ocellaris |
ENSACAG00000027983 | - | 83 | 35.938 | ENSAPEG00000019139 | nanos2 | 81 | 35.938 | Amphiprion_percula |
ENSACAG00000027983 | - | 80 | 36.508 | ENSATEG00000009393 | nanos2 | 78 | 40.310 | Anabas_testudineus |
ENSACAG00000027983 | - | 95 | 43.307 | ENSANAG00000025042 | NANOS3 | 76 | 44.094 | Aotus_nancymaae |
ENSACAG00000027983 | - | 77 | 41.176 | ENSACLG00000027005 | nanos2 | 67 | 41.176 | Astatotilapia_calliptera |
ENSACAG00000027983 | - | 83 | 34.074 | ENSAMXG00000042358 | nanos2 | 80 | 32.593 | Astyanax_mexicanus |
ENSACAG00000027983 | - | 95 | 42.308 | ENSBTAG00000000399 | NANOS3 | 76 | 41.538 | Bos_taurus |
ENSACAG00000027983 | - | 100 | 50.714 | ENSBTAG00000047505 | NANOS2 | 100 | 50.714 | Bos_taurus |
ENSACAG00000027983 | - | 98 | 53.237 | ENSCJAG00000012141 | NANOS2 | 96 | 52.174 | Callithrix_jacchus |
ENSACAG00000027983 | - | 95 | 40.288 | ENSCJAG00000004388 | NANOS3 | 77 | 40.288 | Callithrix_jacchus |
ENSACAG00000027983 | - | 95 | 53.383 | ENSCAFG00000024541 | NANOS2 | 96 | 51.880 | Canis_familiaris |
ENSACAG00000027983 | - | 95 | 43.846 | ENSCAFG00000016592 | NANOS3 | 68 | 42.308 | Canis_familiaris |
ENSACAG00000027983 | - | 95 | 43.846 | ENSCAFG00020006694 | NANOS3 | 68 | 42.308 | Canis_lupus_dingo |
ENSACAG00000027983 | - | 95 | 53.383 | ENSCAFG00020001772 | NANOS2 | 96 | 51.880 | Canis_lupus_dingo |
ENSACAG00000027983 | - | 95 | 42.308 | ENSCHIG00000007837 | NANOS3 | 74 | 41.538 | Capra_hircus |
ENSACAG00000027983 | - | 100 | 50.714 | ENSCHIG00000012637 | NANOS2 | 100 | 50.714 | Capra_hircus |
ENSACAG00000027983 | - | 95 | 42.857 | ENSTSYG00000026709 | NANOS3 | 75 | 42.857 | Carlito_syrichta |
ENSACAG00000027983 | - | 58 | 68.831 | ENSTSYG00000028873 | NANOS2 | 62 | 63.529 | Carlito_syrichta |
ENSACAG00000027983 | - | 95 | 43.077 | ENSCAPG00000014339 | NANOS3 | 83 | 43.939 | Cavia_aperea |
ENSACAG00000027983 | - | 94 | 53.968 | ENSCAPG00000016771 | NANOS2 | 95 | 51.613 | Cavia_aperea |
ENSACAG00000027983 | - | 95 | 42.537 | ENSCPOG00000020727 | NANOS3 | 75 | 44.030 | Cavia_porcellus |
ENSACAG00000027983 | - | 94 | 53.968 | ENSCPOG00000014969 | NANOS2 | 95 | 51.613 | Cavia_porcellus |
ENSACAG00000027983 | - | 95 | 40.909 | ENSCCAG00000036253 | NANOS3 | 75 | 40.909 | Cebus_capucinus |
ENSACAG00000027983 | - | 95 | 39.241 | ENSCATG00000034885 | NANOS3 | 78 | 39.216 | Cercocebus_atys |
ENSACAG00000027983 | - | 100 | 53.191 | ENSCATG00000018951 | NANOS2 | 100 | 51.429 | Cercocebus_atys |
ENSACAG00000027983 | - | 95 | 44.030 | ENSCLAG00000015139 | NANOS3 | 74 | 44.030 | Chinchilla_lanigera |
ENSACAG00000027983 | - | 99 | 53.383 | ENSCLAG00000001832 | NANOS2 | 99 | 50.758 | Chinchilla_lanigera |
ENSACAG00000027983 | - | 100 | 53.191 | ENSCSAG00000019629 | NANOS2 | 100 | 52.143 | Chlorocebus_sabaeus |
ENSACAG00000027983 | - | 95 | 36.943 | ENSCSAG00000006428 | NANOS3 | 79 | 35.897 | Chlorocebus_sabaeus |
ENSACAG00000027983 | - | 95 | 51.880 | ENSCHOG00000001937 | NANOS2 | 96 | 51.880 | Choloepus_hoffmanni |
ENSACAG00000027983 | - | 94 | 44.697 | ENSCPBG00000023819 | NANOS3 | 93 | 43.939 | Chrysemys_picta_bellii |
ENSACAG00000027983 | - | 95 | 54.745 | ENSCPBG00000007141 | NANOS2 | 88 | 53.788 | Chrysemys_picta_bellii |
ENSACAG00000027983 | - | 58 | 50.000 | ENSCPBG00000002172 | NANOS1 | 66 | 50.000 | Chrysemys_picta_bellii |
ENSACAG00000027983 | - | 100 | 53.191 | ENSCANG00000012014 | NANOS2 | 100 | 51.429 | Colobus_angolensis_palliatus |
ENSACAG00000027983 | - | 95 | 42.748 | ENSCANG00000034930 | NANOS3 | 76 | 42.748 | Colobus_angolensis_palliatus |
ENSACAG00000027983 | - | 100 | 52.985 | ENSCGRG00001013726 | Nanos2 | 100 | 51.493 | Cricetulus_griseus_chok1gshd |
ENSACAG00000027983 | - | 95 | 43.846 | ENSCGRG00001023851 | Nanos3 | 75 | 44.275 | Cricetulus_griseus_chok1gshd |
ENSACAG00000027983 | - | 100 | 52.985 | ENSCGRG00000019170 | Nanos2 | 100 | 51.493 | Cricetulus_griseus_crigri |
ENSACAG00000027983 | - | 95 | 43.846 | ENSCGRG00000017734 | Nanos3 | 73 | 44.275 | Cricetulus_griseus_crigri |
ENSACAG00000027983 | - | 85 | 38.686 | ENSCSEG00000017157 | nanos2 | 79 | 39.370 | Cynoglossus_semilaevis |
ENSACAG00000027983 | - | 80 | 44.340 | ENSCVAG00000006947 | nanos2 | 88 | 43.548 | Cyprinodon_variegatus |
ENSACAG00000027983 | - | 77 | 37.815 | ENSDARG00000116802 | nanos2 | 82 | 37.815 | Danio_rerio |
ENSACAG00000027983 | - | 80 | 37.600 | ENSDARG00000068255 | nanos3 | 79 | 37.600 | Danio_rerio |
ENSACAG00000027983 | - | 95 | 50.746 | ENSDNOG00000044718 | NANOS2 | 96 | 49.624 | Dasypus_novemcinctus |
ENSACAG00000027983 | - | 100 | 51.429 | ENSEASG00005014235 | NANOS2 | 100 | 50.714 | Equus_asinus_asinus |
ENSACAG00000027983 | - | 95 | 42.963 | ENSEASG00005015313 | NANOS3 | 78 | 41.667 | Equus_asinus_asinus |
ENSACAG00000027983 | - | 95 | 42.963 | ENSECAG00000016293 | NANOS3 | 74 | 41.667 | Equus_caballus |
ENSACAG00000027983 | - | 100 | 52.143 | ENSECAG00000006033 | NANOS2 | 100 | 50.000 | Equus_caballus |
ENSACAG00000027983 | - | 95 | 40.136 | ENSEEUG00000009900 | NANOS3 | 87 | 38.356 | Erinaceus_europaeus |
ENSACAG00000027983 | - | 95 | 50.376 | ENSEEUG00000009930 | NANOS2 | 96 | 50.376 | Erinaceus_europaeus |
ENSACAG00000027983 | - | 80 | 34.307 | ENSELUG00000016582 | - | 77 | 32.117 | Esox_lucius |
ENSACAG00000027983 | - | 84 | 40.678 | ENSELUG00000019091 | - | 82 | 40.678 | Esox_lucius |
ENSACAG00000027983 | - | 78 | 34.559 | ENSELUG00000016082 | nanos3 | 82 | 34.559 | Esox_lucius |
ENSACAG00000027983 | - | 91 | 37.600 | ENSFCAG00000003717 | NANOS3 | 73 | 36.290 | Felis_catus |
ENSACAG00000027983 | - | 100 | 50.714 | ENSFCAG00000027661 | NANOS2 | 100 | 51.429 | Felis_catus |
ENSACAG00000027983 | - | 95 | 41.791 | ENSFDAG00000018459 | NANOS3 | 74 | 41.791 | Fukomys_damarensis |
ENSACAG00000027983 | - | 99 | 51.493 | ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | Fukomys_damarensis |
ENSACAG00000027983 | - | 89 | 36.364 | ENSFHEG00000012835 | NANOS2 | 85 | 38.938 | Fundulus_heteroclitus |
ENSACAG00000027983 | - | 80 | 41.964 | ENSGMOG00000015980 | - | 96 | 41.284 | Gadus_morhua |
ENSACAG00000027983 | - | 78 | 39.806 | ENSGMOG00000016541 | nanos3 | 69 | 39.806 | Gadus_morhua |
ENSACAG00000027983 | - | 63 | 47.674 | ENSGMOG00000020465 | nanos1 | 91 | 47.674 | Gadus_morhua |
ENSACAG00000027983 | - | 77 | 40.385 | ENSGAFG00000006000 | - | 66 | 40.385 | Gambusia_affinis |
ENSACAG00000027983 | - | 80 | 40.741 | ENSGACG00000004930 | - | 96 | 40.741 | Gasterosteus_aculeatus |
ENSACAG00000027983 | - | 63 | 50.000 | ENSGACG00000016692 | - | 91 | 50.000 | Gasterosteus_aculeatus |
ENSACAG00000027983 | - | 93 | 45.588 | ENSGAGG00000005591 | - | 73 | 45.588 | Gopherus_agassizii |
ENSACAG00000027983 | - | 91 | 57.500 | ENSGAGG00000009500 | NANOS2 | 77 | 55.833 | Gopherus_agassizii |
ENSACAG00000027983 | - | 58 | 48.750 | ENSGAGG00000015730 | NANOS1 | 51 | 46.591 | Gopherus_agassizii |
ENSACAG00000027983 | - | 95 | 37.267 | ENSGGOG00000000964 | NANOS3 | 79 | 36.538 | Gorilla_gorilla |
ENSACAG00000027983 | - | 100 | 53.901 | ENSGGOG00000013447 | NANOS2 | 100 | 52.857 | Gorilla_gorilla |
ENSACAG00000027983 | - | 95 | 42.222 | ENSHGLG00000019378 | NANOS3 | 71 | 41.791 | Heterocephalus_glaber_female |
ENSACAG00000027983 | - | 95 | 42.222 | ENSHGLG00100012652 | NANOS3 | 71 | 41.791 | Heterocephalus_glaber_male |
ENSACAG00000027983 | - | 95 | 30.872 | ENSHCOG00000014790 | nanos3 | 78 | 36.842 | Hippocampus_comes |
ENSACAG00000027983 | - | 91 | 38.028 | ENSIPUG00000024113 | nanos2 | 88 | 35.211 | Ictalurus_punctatus |
ENSACAG00000027983 | - | 80 | 40.000 | ENSIPUG00000012246 | - | 66 | 40.000 | Ictalurus_punctatus |
ENSACAG00000027983 | - | 80 | 38.525 | ENSIPUG00000007200 | - | 75 | 40.000 | Ictalurus_punctatus |
ENSACAG00000027983 | - | 95 | 43.511 | ENSSTOG00000024797 | NANOS3 | 73 | 41.985 | Ictidomys_tridecemlineatus |
ENSACAG00000027983 | - | 100 | 52.273 | ENSSTOG00000021724 | NANOS2 | 100 | 52.273 | Ictidomys_tridecemlineatus |
ENSACAG00000027983 | - | 95 | 43.939 | ENSJJAG00000000545 | Nanos3 | 73 | 41.985 | Jaculus_jaculus |
ENSACAG00000027983 | - | 83 | 42.424 | ENSLBEG00000018836 | nanos2 | 87 | 38.931 | Labrus_bergylta |
ENSACAG00000027983 | - | 98 | 37.324 | ENSLACG00000013286 | NANOS3 | 97 | 37.324 | Latimeria_chalumnae |
ENSACAG00000027983 | - | 91 | 43.671 | ENSLACG00000014980 | - | 90 | 43.671 | Latimeria_chalumnae |
ENSACAG00000027983 | - | 95 | 40.909 | ENSLAFG00000008480 | NANOS3 | 73 | 40.909 | Loxodonta_africana |
ENSACAG00000027983 | - | 100 | 51.049 | ENSLAFG00000014090 | NANOS2 | 100 | 49.650 | Loxodonta_africana |
ENSACAG00000027983 | - | 100 | 53.191 | ENSMFAG00000017215 | NANOS2 | 100 | 51.429 | Macaca_fascicularis |
ENSACAG00000027983 | - | 95 | 40.000 | ENSMFAG00000040009 | NANOS3 | 78 | 39.333 | Macaca_fascicularis |
ENSACAG00000027983 | - | 100 | 53.191 | ENSMMUG00000008103 | NANOS2 | 100 | 51.429 | Macaca_mulatta |
ENSACAG00000027983 | - | 95 | 39.744 | ENSMMUG00000008316 | NANOS3 | 78 | 38.411 | Macaca_mulatta |
ENSACAG00000027983 | - | 95 | 40.000 | ENSMNEG00000028898 | NANOS3 | 78 | 39.333 | Macaca_nemestrina |
ENSACAG00000027983 | - | 100 | 53.191 | ENSMNEG00000004633 | NANOS2 | 100 | 51.429 | Macaca_nemestrina |
ENSACAG00000027983 | - | 100 | 53.191 | ENSMLEG00000001810 | NANOS2 | 100 | 51.429 | Mandrillus_leucophaeus |
ENSACAG00000027983 | - | 95 | 42.105 | ENSMLEG00000033135 | NANOS3 | 75 | 42.105 | Mandrillus_leucophaeus |
ENSACAG00000027983 | - | 83 | 36.585 | ENSMAMG00000005577 | NANOS2 | 80 | 36.585 | Mastacembelus_armatus |
ENSACAG00000027983 | - | 95 | 43.846 | ENSMAUG00000008396 | Nanos3 | 73 | 44.615 | Mesocricetus_auratus |
ENSACAG00000027983 | - | 95 | 43.077 | ENSMICG00000030950 | NANOS3 | 75 | 40.769 | Microcebus_murinus |
ENSACAG00000027983 | - | 100 | 51.880 | ENSMOCG00000001985 | Nanos2 | 100 | 50.376 | Microtus_ochrogaster |
ENSACAG00000027983 | - | 95 | 45.038 | ENSMOCG00000000059 | Nanos3 | 73 | 44.615 | Microtus_ochrogaster |
ENSACAG00000027983 | - | 82 | 42.735 | ENSMMOG00000009827 | nanos2 | 78 | 38.462 | Mola_mola |
ENSACAG00000027983 | - | 93 | 46.400 | ENSMODG00000023964 | - | 95 | 42.742 | Monodelphis_domestica |
ENSACAG00000027983 | - | 79 | 40.385 | ENSMALG00000011545 | - | 58 | 40.385 | Monopterus_albus |
ENSACAG00000027983 | - | 87 | 46.154 | ENSMALG00000006299 | nanos2 | 82 | 45.000 | Monopterus_albus |
ENSACAG00000027983 | - | 89 | 36.691 | ENSMALG00000005945 | nanos3 | 85 | 36.691 | Monopterus_albus |
ENSACAG00000027983 | - | 100 | 50.725 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 50.714 | Mus_caroli |
ENSACAG00000027983 | - | 95 | 46.565 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 45.038 | Mus_caroli |
ENSACAG00000027983 | - | 100 | 50.714 | ENSMUSG00000051965 | Nanos2 | 100 | 50.000 | Mus_musculus |
ENSACAG00000027983 | - | 95 | 46.565 | ENSMUSG00000056155 | Nanos3 | 75 | 46.154 | Mus_musculus |
ENSACAG00000027983 | - | 100 | 49.275 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 49.286 | Mus_pahari |
ENSACAG00000027983 | - | 95 | 46.565 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 45.038 | Mus_pahari |
ENSACAG00000027983 | - | 100 | 50.000 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 50.000 | Mus_spretus |
ENSACAG00000027983 | - | 95 | 46.565 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 45.038 | Mus_spretus |
ENSACAG00000027983 | - | 100 | 50.000 | ENSMPUG00000019371 | NANOS2 | 100 | 50.714 | Mustela_putorius_furo |
ENSACAG00000027983 | - | 95 | 43.846 | ENSMPUG00000003282 | NANOS3 | 73 | 43.939 | Mustela_putorius_furo |
ENSACAG00000027983 | - | 95 | 42.222 | ENSMLUG00000012971 | NANOS3 | 75 | 43.077 | Myotis_lucifugus |
ENSACAG00000027983 | - | 95 | 47.328 | ENSNGAG00000020486 | Nanos3 | 73 | 45.385 | Nannospalax_galili |
ENSACAG00000027983 | - | 83 | 39.450 | ENSNBRG00000018838 | NANOS2 | 70 | 39.450 | Neolamprologus_brichardi |
ENSACAG00000027983 | - | 95 | 42.748 | ENSNLEG00000034574 | NANOS3 | 75 | 42.748 | Nomascus_leucogenys |
ENSACAG00000027983 | - | 97 | 49.286 | ENSOPRG00000010043 | NANOS2 | 99 | 49.286 | Ochotona_princeps |
ENSACAG00000027983 | - | 95 | 39.597 | ENSOPRG00000007211 | - | 75 | 39.597 | Ochotona_princeps |
ENSACAG00000027983 | - | 95 | 46.154 | ENSODEG00000008907 | NANOS3 | 71 | 44.615 | Octodon_degus |
ENSACAG00000027983 | - | 93 | 44.776 | ENSOANG00000013042 | - | 95 | 42.537 | Ornithorhynchus_anatinus |
ENSACAG00000027983 | - | 97 | 49.275 | ENSOCUG00000023755 | NANOS2 | 99 | 49.635 | Oryctolagus_cuniculus |
ENSACAG00000027983 | - | 95 | 40.876 | ENSOCUG00000014802 | NANOS3 | 77 | 41.606 | Oryctolagus_cuniculus |
ENSACAG00000027983 | - | 80 | 38.843 | ENSORLG00020013284 | nanos2 | 78 | 38.017 | Oryzias_latipes_hni |
ENSACAG00000027983 | - | 77 | 40.870 | ENSOMEG00000006512 | nanos2 | 77 | 40.000 | Oryzias_melastigma |
ENSACAG00000027983 | - | 95 | 43.846 | ENSOGAG00000007190 | NANOS3 | 74 | 43.077 | Otolemur_garnettii |
ENSACAG00000027983 | - | 100 | 51.429 | ENSOGAG00000032290 | NANOS2 | 100 | 51.429 | Otolemur_garnettii |
ENSACAG00000027983 | - | 100 | 50.714 | ENSOARG00000011467 | NANOS2 | 100 | 50.714 | Ovis_aries |
ENSACAG00000027983 | - | 92 | 42.520 | ENSOARG00000008043 | NANOS3 | 71 | 41.732 | Ovis_aries |
ENSACAG00000027983 | - | 64 | 45.556 | ENSOARG00000000575 | - | 80 | 43.000 | Ovis_aries |
ENSACAG00000027983 | - | 100 | 53.571 | ENSPPAG00000020568 | NANOS2 | 100 | 52.857 | Pan_paniscus |
ENSACAG00000027983 | - | 95 | 42.748 | ENSPPAG00000032168 | NANOS3 | 76 | 42.748 | Pan_paniscus |
ENSACAG00000027983 | - | 100 | 52.482 | ENSPPRG00000015211 | NANOS2 | 100 | 51.429 | Panthera_pardus |
ENSACAG00000027983 | - | 95 | 42.748 | ENSPPRG00000009573 | NANOS3 | 75 | 41.538 | Panthera_pardus |
ENSACAG00000027983 | - | 95 | 42.748 | ENSPTIG00000000325 | NANOS3 | 75 | 41.538 | Panthera_tigris_altaica |
ENSACAG00000027983 | - | 90 | 50.000 | ENSPTIG00000015372 | NANOS2 | 90 | 48.819 | Panthera_tigris_altaica |
ENSACAG00000027983 | - | 95 | 38.065 | ENSPTRG00000010568 | NANOS3 | 78 | 38.000 | Pan_troglodytes |
ENSACAG00000027983 | - | 100 | 53.571 | ENSPTRG00000011172 | NANOS2 | 100 | 52.857 | Pan_troglodytes |
ENSACAG00000027983 | - | 95 | 40.000 | ENSPANG00000015037 | NANOS3 | 76 | 39.333 | Papio_anubis |
ENSACAG00000027983 | - | 100 | 53.191 | ENSPANG00000009327 | NANOS2 | 100 | 52.143 | Papio_anubis |
ENSACAG00000027983 | - | 90 | 38.281 | ENSPKIG00000006905 | - | 55 | 36.842 | Paramormyrops_kingsleyae |
ENSACAG00000027983 | - | 77 | 33.333 | ENSPKIG00000006934 | - | 82 | 35.000 | Paramormyrops_kingsleyae |
ENSACAG00000027983 | - | 59 | 49.383 | ENSPSIG00000000407 | - | 99 | 49.383 | Pelodiscus_sinensis |
ENSACAG00000027983 | - | 95 | 56.250 | ENSPSIG00000007082 | NANOS2 | 97 | 56.250 | Pelodiscus_sinensis |
ENSACAG00000027983 | - | 83 | 43.307 | ENSPMGG00000023681 | nanos2 | 74 | 39.200 | Periophthalmus_magnuspinnatus |
ENSACAG00000027983 | - | 100 | 52.555 | ENSPEMG00000014999 | Nanos2 | 100 | 48.905 | Peromyscus_maniculatus_bairdii |
ENSACAG00000027983 | - | 63 | 48.810 | ENSPFOG00000020533 | - | 91 | 48.810 | Poecilia_formosa |
ENSACAG00000027983 | - | 83 | 42.241 | ENSPLAG00000007786 | NANOS2 | 86 | 40.000 | Poecilia_latipinna |
ENSACAG00000027983 | - | 86 | 40.336 | ENSPMEG00000005681 | NANOS2 | 87 | 38.053 | Poecilia_mexicana |
ENSACAG00000027983 | - | 83 | 40.909 | ENSPREG00000020465 | nanos2 | 86 | 40.000 | Poecilia_reticulata |
ENSACAG00000027983 | - | 100 | 53.191 | ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | Pongo_abelii |
ENSACAG00000027983 | - | 95 | 37.821 | ENSPPYG00000009627 | NANOS3 | 78 | 37.821 | Pongo_abelii |
ENSACAG00000027983 | - | 100 | 52.143 | ENSPCAG00000005087 | NANOS2 | 100 | 50.714 | Procavia_capensis |
ENSACAG00000027983 | - | 95 | 42.308 | ENSPCOG00000018814 | NANOS3 | 75 | 43.182 | Propithecus_coquereli |
ENSACAG00000027983 | - | 95 | 41.667 | ENSPVAG00000017538 | NANOS3 | 75 | 41.667 | Pteropus_vampyrus |
ENSACAG00000027983 | - | 100 | 49.286 | ENSPVAG00000001363 | NANOS2 | 100 | 49.286 | Pteropus_vampyrus |
ENSACAG00000027983 | - | 77 | 45.098 | ENSPNYG00000004545 | NANOS2 | 76 | 42.157 | Pundamilia_nyererei |
ENSACAG00000027983 | - | 93 | 42.742 | ENSPNAG00000002259 | nanos3 | 78 | 42.742 | Pygocentrus_nattereri |
ENSACAG00000027983 | - | 100 | 50.714 | ENSRNOG00000038088 | Nanos2 | 100 | 50.714 | Rattus_norvegicus |
ENSACAG00000027983 | - | 95 | 45.802 | ENSRNOG00000031593 | Nanos3 | 73 | 45.038 | Rattus_norvegicus |
ENSACAG00000027983 | - | 95 | 38.667 | ENSRBIG00000037377 | NANOS3 | 79 | 38.667 | Rhinopithecus_bieti |
ENSACAG00000027983 | - | 100 | 53.191 | ENSRBIG00000023726 | NANOS2 | 100 | 52.143 | Rhinopithecus_bieti |
ENSACAG00000027983 | - | 95 | 39.103 | ENSRROG00000032642 | NANOS3 | 79 | 39.073 | Rhinopithecus_roxellana |
ENSACAG00000027983 | - | 100 | 53.901 | ENSRROG00000014903 | NANOS2 | 100 | 52.143 | Rhinopithecus_roxellana |
ENSACAG00000027983 | - | 95 | 41.007 | ENSSBOG00000020970 | NANOS3 | 76 | 41.007 | Saimiri_boliviensis_boliviensis |
ENSACAG00000027983 | - | 92 | 43.548 | ENSSHAG00000010756 | - | 95 | 43.200 | Sarcophilus_harrisii |
ENSACAG00000027983 | - | 92 | 42.742 | ENSSHAG00000012099 | - | 94 | 42.742 | Sarcophilus_harrisii |
ENSACAG00000027983 | - | 97 | 51.079 | ENSSHAG00000017034 | NANOS2 | 98 | 50.758 | Sarcophilus_harrisii |
ENSACAG00000027983 | - | 78 | 39.231 | ENSSFOG00015013452 | nanos3 | 86 | 37.692 | Scleropages_formosus |
ENSACAG00000027983 | - | 80 | 40.952 | ENSSFOG00015007586 | - | 78 | 40.952 | Scleropages_formosus |
ENSACAG00000027983 | - | 83 | 32.353 | ENSSMAG00000013915 | nanos2 | 81 | 33.088 | Scophthalmus_maximus |
ENSACAG00000027983 | - | 95 | 33.113 | ENSSDUG00000016576 | nanos2 | 85 | 34.437 | Seriola_dumerili |
ENSACAG00000027983 | - | 95 | 42.963 | ENSSARG00000008966 | NANOS3 | 73 | 45.385 | Sorex_araneus |
ENSACAG00000027983 | - | 93 | 47.656 | ENSSPUG00000009826 | NANOS3 | 67 | 46.400 | Sphenodon_punctatus |
ENSACAG00000027983 | - | 100 | 53.103 | ENSSPUG00000002566 | NANOS2 | 100 | 53.103 | Sphenodon_punctatus |
ENSACAG00000027983 | - | 80 | 38.281 | ENSSPAG00000003887 | nanos2 | 83 | 35.938 | Stegastes_partitus |
ENSACAG00000027983 | - | 95 | 44.615 | ENSSSCG00000013759 | NANOS3 | 75 | 42.308 | Sus_scrofa |
ENSACAG00000027983 | - | 100 | 50.694 | ENSSSCG00000003096 | NANOS2 | 100 | 50.714 | Sus_scrofa |
ENSACAG00000027983 | - | 85 | 42.105 | ENSTRUG00000017633 | nanos2 | 89 | 41.228 | Takifugu_rubripes |
ENSACAG00000027983 | - | 79 | 43.802 | ENSTNIG00000014063 | nanos3 | 84 | 40.336 | Tetraodon_nigroviridis |
ENSACAG00000027983 | - | 80 | 41.176 | ENSTNIG00000010543 | - | 87 | 40.517 | Tetraodon_nigroviridis |
ENSACAG00000027983 | - | 95 | 43.511 | ENSTBEG00000013729 | NANOS3 | 86 | 43.846 | Tupaia_belangeri |
ENSACAG00000027983 | - | 98 | 50.365 | ENSTTRG00000014315 | NANOS2 | 98 | 52.555 | Tursiops_truncatus |
ENSACAG00000027983 | - | 95 | 42.748 | ENSTTRG00000008361 | NANOS3 | 78 | 41.985 | Tursiops_truncatus |
ENSACAG00000027983 | - | 95 | 42.308 | ENSUAMG00000006804 | NANOS3 | 75 | 42.308 | Ursus_americanus |
ENSACAG00000027983 | - | 100 | 54.286 | ENSUAMG00000023170 | NANOS2 | 100 | 50.714 | Ursus_americanus |
ENSACAG00000027983 | - | 95 | 42.308 | ENSUMAG00000004703 | NANOS3 | 73 | 42.308 | Ursus_maritimus |
ENSACAG00000027983 | - | 80 | 49.558 | ENSUMAG00000023699 | NANOS2 | 73 | 45.133 | Ursus_maritimus |
ENSACAG00000027983 | - | 95 | 43.511 | ENSVPAG00000011497 | NANOS3 | 76 | 43.846 | Vicugna_pacos |
ENSACAG00000027983 | - | 95 | 42.308 | ENSVVUG00000026757 | NANOS3 | 76 | 42.308 | Vulpes_vulpes |
ENSACAG00000027983 | - | 95 | 52.632 | ENSVVUG00000002993 | NANOS2 | 96 | 51.128 | Vulpes_vulpes |
ENSACAG00000027983 | - | 78 | 37.963 | ENSXETG00000024565 | nanos1 | 84 | 37.963 | Xenopus_tropicalis |
ENSACAG00000027983 | - | 95 | 42.754 | ENSXETG00000014552 | NANOS2 | 98 | 42.143 | Xenopus_tropicalis |
ENSACAG00000027983 | - | 95 | 40.559 | ENSXETG00000021874 | nanos3 | 97 | 37.762 | Xenopus_tropicalis |