Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSACAP00000019562 | zf-nanos | PF05741.13 | 1.2e-24 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSACAT00000023674 | - | 384 | - | ENSACAP00000019562 | 127 (aa) | - | H9GSN7 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSACAG00000022790 | - | 98 | 87.597 | ENSACAG00000026819 | - | 96 | 85.271 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000024274 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000026757 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 98 | 86.047 | ENSACAG00000022322 | - | 96 | 86.047 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000021948 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 98 | 88.060 | ENSACAG00000023650 | - | 96 | 90.299 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000027995 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000022675 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000027440 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000026914 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 97 | 86.364 | ENSACAG00000026660 | - | 96 | 88.636 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000024972 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 84.496 | ENSACAG00000025044 | - | 96 | 84.496 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000022918 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 98 | 85.075 | ENSACAG00000024218 | - | 96 | 87.313 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000026478 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 84.211 | ENSACAG00000026716 | - | 96 | 84.496 |
ENSACAG00000022790 | - | 97 | 87.121 | ENSACAG00000005197 | - | 96 | 89.394 |
ENSACAG00000022790 | - | 100 | 94.656 | ENSACAG00000014502 | - | 100 | 94.656 |
ENSACAG00000022790 | - | 100 | 87.879 | ENSACAG00000023813 | - | 100 | 87.879 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000027196 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000017474 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000023391 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000024370 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 98 | 83.721 | ENSACAG00000027983 | - | 96 | 83.721 |
ENSACAG00000022790 | - | 98 | 82.171 | ENSACAG00000024995 | - | 96 | 82.171 |
ENSACAG00000022790 | - | 98 | 71.739 | ENSACAG00000025556 | - | 97 | 71.739 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000023823 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 98 | 85.271 | ENSACAG00000022088 | - | 96 | 85.271 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000024504 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 100 | 94.656 | ENSACAG00000022321 | - | 100 | 94.656 |
ENSACAG00000022790 | - | 100 | 94.656 | ENSACAG00000025632 | - | 100 | 94.656 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000027728 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000024364 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 88.372 | ENSACAG00000023519 | - | 96 | 86.047 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000025655 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 100 | 89.313 | ENSACAG00000024432 | - | 100 | 87.023 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000023428 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 100 | 86.765 | ENSACAG00000022861 | - | 100 | 88.971 |
ENSACAG00000022790 | - | 97 | 87.121 | ENSACAG00000024524 | - | 96 | 89.394 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000025093 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000026317 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 100 | 93.130 | ENSACAG00000024003 | - | 100 | 93.130 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000010268 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000023803 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000027265 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000026771 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000024639 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.822 | ENSACAG00000024434 | - | 96 | 86.822 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000027212 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 100 | 87.500 | ENSACAG00000025260 | - | 100 | 89.706 |
ENSACAG00000022790 | - | 100 | 94.656 | ENSACAG00000028048 | - | 100 | 94.656 |
ENSACAG00000022790 | - | 98 | 86.047 | ENSACAG00000026334 | - | 96 | 86.047 |
ENSACAG00000022790 | - | 97 | 87.121 | ENSACAG00000027568 | - | 96 | 89.394 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000025307 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 84.211 | ENSACAG00000022236 | - | 96 | 84.496 |
ENSACAG00000022790 | - | 100 | 89.394 | ENSACAG00000025505 | - | 100 | 89.394 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000024568 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.822 | ENSACAG00000025729 | - | 96 | 86.822 |
ENSACAG00000022790 | - | 100 | 90.840 | ENSACAG00000022207 | - | 100 | 88.550 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000022041 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 86.567 | ENSACAG00000023855 | - | 96 | 88.806 |
ENSACAG00000022790 | - | 98 | 85.821 | ENSACAG00000026679 | - | 96 | 88.060 |
ENSACAG00000022790 | - | 98 | 85.075 | ENSACAG00000023774 | - | 96 | 87.313 |
ENSACAG00000022790 | - | 97 | 87.121 | ENSACAG00000025452 | - | 96 | 89.394 |
ENSACAG00000022790 | - | 97 | 87.121 | ENSACAG00000026350 | - | 96 | 89.394 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSACAG00000022790 | - | 97 | 49.624 | ENSG00000188425 | NANOS2 | 96 | 49.624 | Homo_sapiens |
ENSACAG00000022790 | - | 97 | 42.424 | ENSG00000187556 | NANOS3 | 76 | 42.424 | Homo_sapiens |
ENSACAG00000022790 | - | 86 | 36.090 | ENSAPOG00000020274 | nanos2 | 80 | 36.090 | Acanthochromis_polyacanthus |
ENSACAG00000022790 | - | 97 | 41.538 | ENSAMEG00000012972 | NANOS3 | 75 | 41.538 | Ailuropoda_melanoleuca |
ENSACAG00000022790 | - | 96 | 40.157 | ENSACIG00000007105 | nanos2 | 82 | 39.683 | Amphilophus_citrinellus |
ENSACAG00000022790 | - | 87 | 43.200 | ENSAOCG00000009429 | nanos2 | 80 | 36.585 | Amphiprion_ocellaris |
ENSACAG00000022790 | - | 87 | 35.938 | ENSAPEG00000019139 | nanos2 | 81 | 36.719 | Amphiprion_percula |
ENSACAG00000022790 | - | 84 | 37.795 | ENSATEG00000009393 | nanos2 | 78 | 38.095 | Anabas_testudineus |
ENSACAG00000022790 | - | 97 | 41.406 | ENSANAG00000025042 | NANOS3 | 78 | 39.568 | Aotus_nancymaae |
ENSACAG00000022790 | - | 82 | 43.269 | ENSACLG00000027005 | nanos2 | 67 | 38.462 | Astatotilapia_calliptera |
ENSACAG00000022790 | - | 97 | 41.304 | ENSBTAG00000000399 | NANOS3 | 76 | 39.855 | Bos_taurus |
ENSACAG00000022790 | - | 97 | 48.905 | ENSBTAG00000047505 | NANOS2 | 96 | 48.905 | Bos_taurus |
ENSACAG00000022790 | - | 97 | 37.410 | ENSCJAG00000004388 | NANOS3 | 77 | 38.129 | Callithrix_jacchus |
ENSACAG00000022790 | - | 97 | 47.794 | ENSCJAG00000012141 | NANOS2 | 94 | 48.120 | Callithrix_jacchus |
ENSACAG00000022790 | - | 97 | 49.630 | ENSCAFG00000024541 | NANOS2 | 96 | 48.872 | Canis_familiaris |
ENSACAG00000022790 | - | 97 | 43.077 | ENSCAFG00000016592 | NANOS3 | 68 | 41.667 | Canis_familiaris |
ENSACAG00000022790 | - | 97 | 43.077 | ENSCAFG00020006694 | NANOS3 | 68 | 41.667 | Canis_lupus_dingo |
ENSACAG00000022790 | - | 97 | 49.630 | ENSCAFG00020001772 | NANOS2 | 96 | 48.872 | Canis_lupus_dingo |
ENSACAG00000022790 | - | 97 | 48.905 | ENSCHIG00000012637 | NANOS2 | 96 | 48.905 | Capra_hircus |
ENSACAG00000022790 | - | 97 | 40.580 | ENSCHIG00000007837 | NANOS3 | 74 | 40.299 | Capra_hircus |
ENSACAG00000022790 | - | 57 | 66.234 | ENSTSYG00000028873 | NANOS2 | 62 | 61.176 | Carlito_syrichta |
ENSACAG00000022790 | - | 97 | 39.850 | ENSTSYG00000026709 | NANOS3 | 75 | 41.353 | Carlito_syrichta |
ENSACAG00000022790 | - | 96 | 49.206 | ENSCAPG00000016771 | NANOS2 | 95 | 49.219 | Cavia_aperea |
ENSACAG00000022790 | - | 97 | 43.511 | ENSCAPG00000014339 | NANOS3 | 83 | 41.791 | Cavia_aperea |
ENSACAG00000022790 | - | 96 | 49.206 | ENSCPOG00000014969 | NANOS2 | 95 | 49.219 | Cavia_porcellus |
ENSACAG00000022790 | - | 97 | 41.791 | ENSCPOG00000020727 | NANOS3 | 75 | 41.045 | Cavia_porcellus |
ENSACAG00000022790 | - | 97 | 40.909 | ENSCCAG00000036253 | NANOS3 | 75 | 40.909 | Cebus_capucinus |
ENSACAG00000022790 | - | 97 | 48.872 | ENSCATG00000018951 | NANOS2 | 96 | 48.872 | Cercocebus_atys |
ENSACAG00000022790 | - | 97 | 38.312 | ENSCATG00000034885 | NANOS3 | 78 | 37.908 | Cercocebus_atys |
ENSACAG00000022790 | - | 97 | 42.222 | ENSCLAG00000015139 | NANOS3 | 74 | 41.045 | Chinchilla_lanigera |
ENSACAG00000022790 | - | 96 | 49.219 | ENSCLAG00000001832 | NANOS2 | 95 | 47.619 | Chinchilla_lanigera |
ENSACAG00000022790 | - | 97 | 48.872 | ENSCSAG00000019629 | NANOS2 | 96 | 48.872 | Chlorocebus_sabaeus |
ENSACAG00000022790 | - | 97 | 36.943 | ENSCSAG00000006428 | NANOS3 | 79 | 35.897 | Chlorocebus_sabaeus |
ENSACAG00000022790 | - | 97 | 50.376 | ENSCHOG00000001937 | NANOS2 | 96 | 50.376 | Choloepus_hoffmanni |
ENSACAG00000022790 | - | 91 | 45.902 | ENSCPBG00000023819 | NANOS3 | 92 | 43.846 | Chrysemys_picta_bellii |
ENSACAG00000022790 | - | 57 | 53.425 | ENSCPBG00000002172 | NANOS1 | 57 | 53.425 | Chrysemys_picta_bellii |
ENSACAG00000022790 | - | 98 | 50.365 | ENSCPBG00000007141 | NANOS2 | 88 | 50.000 | Chrysemys_picta_bellii |
ENSACAG00000022790 | - | 97 | 42.424 | ENSCANG00000034930 | NANOS3 | 76 | 42.424 | Colobus_angolensis_palliatus |
ENSACAG00000022790 | - | 97 | 48.872 | ENSCANG00000012014 | NANOS2 | 96 | 48.872 | Colobus_angolensis_palliatus |
ENSACAG00000022790 | - | 97 | 42.424 | ENSCGRG00001023851 | Nanos3 | 75 | 42.424 | Cricetulus_griseus_chok1gshd |
ENSACAG00000022790 | - | 97 | 49.606 | ENSCGRG00001013726 | Nanos2 | 96 | 49.606 | Cricetulus_griseus_chok1gshd |
ENSACAG00000022790 | - | 97 | 49.606 | ENSCGRG00000019170 | Nanos2 | 96 | 49.606 | Cricetulus_griseus_crigri |
ENSACAG00000022790 | - | 97 | 42.424 | ENSCGRG00000017734 | Nanos3 | 73 | 42.424 | Cricetulus_griseus_crigri |
ENSACAG00000022790 | - | 84 | 40.625 | ENSCSEG00000017157 | nanos2 | 79 | 40.625 | Cynoglossus_semilaevis |
ENSACAG00000022790 | - | 82 | 47.619 | ENSCVAG00000006947 | nanos2 | 78 | 46.729 | Cyprinodon_variegatus |
ENSACAG00000022790 | - | 84 | 39.200 | ENSDARG00000068255 | nanos3 | 79 | 39.200 | Danio_rerio |
ENSACAG00000022790 | - | 82 | 42.017 | ENSDARG00000116802 | nanos2 | 82 | 42.017 | Danio_rerio |
ENSACAG00000022790 | - | 97 | 48.120 | ENSDNOG00000044718 | NANOS2 | 96 | 48.120 | Dasypus_novemcinctus |
ENSACAG00000022790 | - | 50 | 56.250 | ENSEBUG00000002646 | - | 61 | 55.385 | Eptatretus_burgeri |
ENSACAG00000022790 | - | 97 | 40.580 | ENSEASG00005015313 | NANOS3 | 78 | 39.130 | Equus_asinus_asinus |
ENSACAG00000022790 | - | 97 | 49.254 | ENSEASG00005014235 | NANOS2 | 96 | 48.905 | Equus_asinus_asinus |
ENSACAG00000022790 | - | 97 | 49.254 | ENSECAG00000006033 | NANOS2 | 96 | 48.905 | Equus_caballus |
ENSACAG00000022790 | - | 97 | 40.580 | ENSECAG00000016293 | NANOS3 | 74 | 39.130 | Equus_caballus |
ENSACAG00000022790 | - | 97 | 39.041 | ENSEEUG00000009900 | NANOS3 | 87 | 40.411 | Erinaceus_europaeus |
ENSACAG00000022790 | - | 97 | 48.120 | ENSEEUG00000009930 | NANOS2 | 96 | 48.120 | Erinaceus_europaeus |
ENSACAG00000022790 | - | 84 | 37.226 | ENSELUG00000016582 | - | 77 | 37.226 | Esox_lucius |
ENSACAG00000022790 | - | 89 | 39.669 | ENSELUG00000019091 | - | 82 | 38.136 | Esox_lucius |
ENSACAG00000022790 | - | 83 | 36.765 | ENSELUG00000016082 | nanos3 | 82 | 36.765 | Esox_lucius |
ENSACAG00000022790 | - | 97 | 49.624 | ENSFCAG00000027661 | NANOS2 | 96 | 49.624 | Felis_catus |
ENSACAG00000022790 | - | 76 | 40.000 | ENSFCAG00000003717 | NANOS3 | 64 | 38.835 | Felis_catus |
ENSACAG00000022790 | - | 52 | 43.284 | ENSFALG00000006160 | NANOS3 | 80 | 43.284 | Ficedula_albicollis |
ENSACAG00000022790 | - | 97 | 41.045 | ENSFDAG00000018459 | NANOS3 | 74 | 41.045 | Fukomys_damarensis |
ENSACAG00000022790 | - | 96 | 47.244 | ENSFDAG00000016342 | NANOS2 | 95 | 45.669 | Fukomys_damarensis |
ENSACAG00000022790 | - | 88 | 36.207 | ENSFHEG00000012835 | NANOS2 | 85 | 40.000 | Fundulus_heteroclitus |
ENSACAG00000022790 | - | 61 | 50.000 | ENSGMOG00000020465 | nanos1 | 85 | 50.000 | Gadus_morhua |
ENSACAG00000022790 | - | 84 | 41.441 | ENSGMOG00000015980 | - | 96 | 41.818 | Gadus_morhua |
ENSACAG00000022790 | - | 82 | 40.187 | ENSGAFG00000006000 | - | 66 | 40.187 | Gambusia_affinis |
ENSACAG00000022790 | - | 61 | 52.564 | ENSGACG00000016692 | - | 85 | 52.564 | Gasterosteus_aculeatus |
ENSACAG00000022790 | - | 84 | 41.964 | ENSGACG00000004930 | - | 96 | 41.818 | Gasterosteus_aculeatus |
ENSACAG00000022790 | - | 90 | 36.567 | ENSGACG00000019003 | nanos3 | 85 | 35.821 | Gasterosteus_aculeatus |
ENSACAG00000022790 | - | 91 | 54.783 | ENSGAGG00000009500 | NANOS2 | 72 | 53.913 | Gopherus_agassizii |
ENSACAG00000022790 | - | 89 | 47.059 | ENSGAGG00000005591 | - | 71 | 44.882 | Gopherus_agassizii |
ENSACAG00000022790 | - | 97 | 34.615 | ENSGGOG00000000964 | NANOS3 | 79 | 34.615 | Gorilla_gorilla |
ENSACAG00000022790 | - | 97 | 49.624 | ENSGGOG00000013447 | NANOS2 | 96 | 49.624 | Gorilla_gorilla |
ENSACAG00000022790 | - | 94 | 36.111 | ENSHBUG00000016772 | nanos2 | 78 | 36.434 | Haplochromis_burtoni |
ENSACAG00000022790 | - | 97 | 40.741 | ENSHGLG00000019378 | NANOS3 | 71 | 40.741 | Heterocephalus_glaber_female |
ENSACAG00000022790 | - | 97 | 40.741 | ENSHGLG00100012652 | NANOS3 | 71 | 40.741 | Heterocephalus_glaber_male |
ENSACAG00000022790 | - | 98 | 32.653 | ENSHCOG00000014790 | nanos3 | 78 | 37.391 | Hippocampus_comes |
ENSACAG00000022790 | - | 98 | 38.095 | ENSIPUG00000007200 | - | 89 | 37.500 | Ictalurus_punctatus |
ENSACAG00000022790 | - | 90 | 40.000 | ENSIPUG00000024113 | nanos2 | 83 | 40.000 | Ictalurus_punctatus |
ENSACAG00000022790 | - | 84 | 42.276 | ENSIPUG00000012246 | - | 66 | 41.667 | Ictalurus_punctatus |
ENSACAG00000022790 | - | 97 | 42.424 | ENSSTOG00000024797 | NANOS3 | 73 | 42.748 | Ictidomys_tridecemlineatus |
ENSACAG00000022790 | - | 97 | 49.618 | ENSSTOG00000021724 | NANOS2 | 96 | 48.092 | Ictidomys_tridecemlineatus |
ENSACAG00000022790 | - | 97 | 42.424 | ENSJJAG00000000545 | Nanos3 | 73 | 40.458 | Jaculus_jaculus |
ENSACAG00000022790 | - | 88 | 40.909 | ENSLBEG00000018836 | nanos2 | 87 | 38.168 | Labrus_bergylta |
ENSACAG00000022790 | - | 90 | 42.667 | ENSLACG00000014980 | - | 85 | 42.000 | Latimeria_chalumnae |
ENSACAG00000022790 | - | 99 | 36.170 | ENSLACG00000013286 | NANOS3 | 97 | 36.170 | Latimeria_chalumnae |
ENSACAG00000022790 | - | 97 | 47.482 | ENSLAFG00000014090 | NANOS2 | 96 | 47.794 | Loxodonta_africana |
ENSACAG00000022790 | - | 97 | 39.394 | ENSLAFG00000008480 | NANOS3 | 73 | 39.394 | Loxodonta_africana |
ENSACAG00000022790 | - | 97 | 39.073 | ENSMFAG00000040009 | NANOS3 | 78 | 36.000 | Macaca_fascicularis |
ENSACAG00000022790 | - | 97 | 48.529 | ENSMFAG00000017215 | NANOS2 | 96 | 48.872 | Macaca_fascicularis |
ENSACAG00000022790 | - | 97 | 38.411 | ENSMMUG00000008316 | NANOS3 | 78 | 38.411 | Macaca_mulatta |
ENSACAG00000022790 | - | 97 | 48.529 | ENSMMUG00000008103 | NANOS2 | 96 | 48.872 | Macaca_mulatta |
ENSACAG00000022790 | - | 97 | 48.529 | ENSMNEG00000004633 | NANOS2 | 96 | 48.872 | Macaca_nemestrina |
ENSACAG00000022790 | - | 97 | 39.073 | ENSMNEG00000028898 | NANOS3 | 78 | 36.000 | Macaca_nemestrina |
ENSACAG00000022790 | - | 97 | 40.741 | ENSMLEG00000033135 | NANOS3 | 75 | 42.105 | Mandrillus_leucophaeus |
ENSACAG00000022790 | - | 97 | 48.872 | ENSMLEG00000001810 | NANOS2 | 96 | 48.872 | Mandrillus_leucophaeus |
ENSACAG00000022790 | - | 97 | 37.594 | ENSMAMG00000005577 | NANOS2 | 85 | 37.594 | Mastacembelus_armatus |
ENSACAG00000022790 | - | 94 | 36.111 | ENSMZEG00005028154 | - | 83 | 35.417 | Maylandia_zebra |
ENSACAG00000022790 | - | 94 | 36.111 | ENSMZEG00005003043 | - | 83 | 35.417 | Maylandia_zebra |
ENSACAG00000022790 | - | 94 | 35.417 | ENSMZEG00005028148 | - | 83 | 34.722 | Maylandia_zebra |
ENSACAG00000022790 | - | 94 | 35.417 | ENSMZEG00005021987 | - | 83 | 35.417 | Maylandia_zebra |
ENSACAG00000022790 | - | 94 | 35.417 | ENSMZEG00005024641 | - | 83 | 34.722 | Maylandia_zebra |
ENSACAG00000022790 | - | 97 | 42.537 | ENSMAUG00000008396 | Nanos3 | 73 | 42.424 | Mesocricetus_auratus |
ENSACAG00000022790 | - | 97 | 41.045 | ENSMICG00000030950 | NANOS3 | 75 | 40.909 | Microcebus_murinus |
ENSACAG00000022790 | - | 97 | 48.031 | ENSMOCG00000001985 | Nanos2 | 96 | 48.031 | Microtus_ochrogaster |
ENSACAG00000022790 | - | 97 | 41.985 | ENSMOCG00000000059 | Nanos3 | 73 | 42.308 | Microtus_ochrogaster |
ENSACAG00000022790 | - | 87 | 40.678 | ENSMMOG00000009827 | nanos2 | 78 | 37.607 | Mola_mola |
ENSACAG00000022790 | - | 92 | 45.378 | ENSMODG00000023964 | - | 89 | 45.378 | Monodelphis_domestica |
ENSACAG00000022790 | - | 82 | 38.525 | ENSMALG00000005945 | nanos3 | 74 | 39.344 | Monopterus_albus |
ENSACAG00000022790 | - | 90 | 46.491 | ENSMALG00000006299 | nanos2 | 76 | 45.614 | Monopterus_albus |
ENSACAG00000022790 | - | 83 | 39.623 | ENSMALG00000011545 | - | 58 | 40.909 | Monopterus_albus |
ENSACAG00000022790 | - | 97 | 44.776 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 43.846 | Mus_caroli |
ENSACAG00000022790 | - | 97 | 48.148 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 48.148 | Mus_caroli |
ENSACAG00000022790 | - | 97 | 47.407 | ENSMUSG00000051965 | Nanos2 | 96 | 47.407 | Mus_musculus |
ENSACAG00000022790 | - | 97 | 44.776 | ENSMUSG00000056155 | Nanos3 | 75 | 43.846 | Mus_musculus |
ENSACAG00000022790 | - | 97 | 44.776 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 43.846 | Mus_pahari |
ENSACAG00000022790 | - | 97 | 45.185 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 45.185 | Mus_pahari |
ENSACAG00000022790 | - | 97 | 47.407 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 47.407 | Mus_spretus |
ENSACAG00000022790 | - | 97 | 44.776 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 43.846 | Mus_spretus |
ENSACAG00000022790 | - | 97 | 41.791 | ENSMPUG00000003282 | NANOS3 | 73 | 41.791 | Mustela_putorius_furo |
ENSACAG00000022790 | - | 97 | 48.120 | ENSMPUG00000019371 | NANOS2 | 96 | 48.120 | Mustela_putorius_furo |
ENSACAG00000022790 | - | 97 | 39.855 | ENSMLUG00000012971 | NANOS3 | 75 | 40.909 | Myotis_lucifugus |
ENSACAG00000022790 | - | 97 | 44.615 | ENSNGAG00000020486 | Nanos3 | 73 | 44.615 | Nannospalax_galili |
ENSACAG00000022790 | - | 87 | 41.441 | ENSNBRG00000018838 | NANOS2 | 70 | 36.937 | Neolamprologus_brichardi |
ENSACAG00000022790 | - | 97 | 42.424 | ENSNLEG00000034574 | NANOS3 | 75 | 42.424 | Nomascus_leucogenys |
ENSACAG00000022790 | - | 97 | 45.255 | ENSOPRG00000010043 | NANOS2 | 96 | 45.255 | Ochotona_princeps |
ENSACAG00000022790 | - | 97 | 38.667 | ENSOPRG00000007211 | - | 75 | 37.584 | Ochotona_princeps |
ENSACAG00000022790 | - | 97 | 43.077 | ENSODEG00000008907 | NANOS3 | 71 | 42.857 | Octodon_degus |
ENSACAG00000022790 | - | 92 | 35.915 | ENSONIG00000005777 | nanos2 | 86 | 35.211 | Oreochromis_niloticus |
ENSACAG00000022790 | - | 91 | 44.000 | ENSOANG00000013042 | - | 89 | 41.600 | Ornithorhynchus_anatinus |
ENSACAG00000022790 | - | 97 | 39.416 | ENSOCUG00000014802 | NANOS3 | 77 | 40.876 | Oryctolagus_cuniculus |
ENSACAG00000022790 | - | 97 | 45.985 | ENSOCUG00000023755 | NANOS2 | 96 | 46.667 | Oryctolagus_cuniculus |
ENSACAG00000022790 | - | 84 | 40.496 | ENSORLG00000009335 | nanos2 | 78 | 39.669 | Oryzias_latipes |
ENSACAG00000022790 | - | 84 | 40.496 | ENSORLG00020013284 | nanos2 | 78 | 39.669 | Oryzias_latipes_hni |
ENSACAG00000022790 | - | 84 | 40.496 | ENSORLG00015013150 | nanos2 | 78 | 39.669 | Oryzias_latipes_hsok |
ENSACAG00000022790 | - | 82 | 42.373 | ENSOMEG00000006512 | nanos2 | 77 | 38.983 | Oryzias_melastigma |
ENSACAG00000022790 | - | 97 | 42.308 | ENSOGAG00000007190 | NANOS3 | 74 | 41.045 | Otolemur_garnettii |
ENSACAG00000022790 | - | 97 | 48.120 | ENSOGAG00000032290 | NANOS2 | 96 | 48.120 | Otolemur_garnettii |
ENSACAG00000022790 | - | 97 | 48.905 | ENSOARG00000011467 | NANOS2 | 96 | 48.905 | Ovis_aries |
ENSACAG00000022790 | - | 94 | 41.481 | ENSOARG00000008043 | NANOS3 | 71 | 40.000 | Ovis_aries |
ENSACAG00000022790 | - | 54 | 52.055 | ENSOARG00000000575 | - | 70 | 47.126 | Ovis_aries |
ENSACAG00000022790 | - | 97 | 42.424 | ENSPPAG00000032168 | NANOS3 | 76 | 42.424 | Pan_paniscus |
ENSACAG00000022790 | - | 97 | 49.624 | ENSPPAG00000020568 | NANOS2 | 96 | 49.624 | Pan_paniscus |
ENSACAG00000022790 | - | 97 | 41.221 | ENSPPRG00000009573 | NANOS3 | 75 | 40.299 | Panthera_pardus |
ENSACAG00000022790 | - | 97 | 49.624 | ENSPPRG00000015211 | NANOS2 | 96 | 49.624 | Panthera_pardus |
ENSACAG00000022790 | - | 89 | 50.420 | ENSPTIG00000015372 | NANOS2 | 88 | 49.180 | Panthera_tigris_altaica |
ENSACAG00000022790 | - | 97 | 41.221 | ENSPTIG00000000325 | NANOS3 | 75 | 40.299 | Panthera_tigris_altaica |
ENSACAG00000022790 | - | 97 | 49.624 | ENSPTRG00000011172 | NANOS2 | 96 | 49.624 | Pan_troglodytes |
ENSACAG00000022790 | - | 97 | 36.000 | ENSPTRG00000010568 | NANOS3 | 78 | 36.000 | Pan_troglodytes |
ENSACAG00000022790 | - | 97 | 39.073 | ENSPANG00000015037 | NANOS3 | 76 | 36.000 | Papio_anubis |
ENSACAG00000022790 | - | 97 | 48.529 | ENSPANG00000009327 | NANOS2 | 96 | 48.872 | Papio_anubis |
ENSACAG00000022790 | - | 94 | 41.406 | ENSPKIG00000006905 | - | 61 | 41.406 | Paramormyrops_kingsleyae |
ENSACAG00000022790 | - | 82 | 34.167 | ENSPKIG00000006934 | - | 82 | 40.000 | Paramormyrops_kingsleyae |
ENSACAG00000022790 | - | 100 | 50.382 | ENSPSIG00000007082 | NANOS2 | 99 | 50.382 | Pelodiscus_sinensis |
ENSACAG00000022790 | - | 58 | 52.703 | ENSPSIG00000000407 | - | 85 | 52.703 | Pelodiscus_sinensis |
ENSACAG00000022790 | - | 100 | 41.007 | ENSPMGG00000023681 | nanos2 | 83 | 41.007 | Periophthalmus_magnuspinnatus |
ENSACAG00000022790 | - | 97 | 48.148 | ENSPEMG00000014999 | Nanos2 | 96 | 47.407 | Peromyscus_maniculatus_bairdii |
ENSACAG00000022790 | - | 50 | 54.688 | ENSPMAG00000010329 | - | 88 | 53.846 | Petromyzon_marinus |
ENSACAG00000022790 | - | 94 | 33.108 | ENSPFOG00000020721 | NANOS2 | 88 | 34.932 | Poecilia_formosa |
ENSACAG00000022790 | - | 61 | 51.282 | ENSPFOG00000020533 | - | 85 | 51.282 | Poecilia_formosa |
ENSACAG00000022790 | - | 90 | 41.228 | ENSPLAG00000007786 | NANOS2 | 88 | 40.351 | Poecilia_latipinna |
ENSACAG00000022790 | - | 90 | 38.596 | ENSPMEG00000005681 | NANOS2 | 87 | 37.719 | Poecilia_mexicana |
ENSACAG00000022790 | - | 90 | 41.228 | ENSPREG00000020465 | nanos2 | 88 | 39.474 | Poecilia_reticulata |
ENSACAG00000022790 | - | 97 | 37.179 | ENSPPYG00000009627 | NANOS3 | 78 | 36.538 | Pongo_abelii |
ENSACAG00000022790 | - | 97 | 48.872 | ENSPPYG00000010138 | NANOS2 | 96 | 48.872 | Pongo_abelii |
ENSACAG00000022790 | - | 97 | 49.254 | ENSPCAG00000005087 | NANOS2 | 96 | 46.715 | Procavia_capensis |
ENSACAG00000022790 | - | 97 | 40.769 | ENSPCOG00000018814 | NANOS3 | 75 | 41.045 | Propithecus_coquereli |
ENSACAG00000022790 | - | 97 | 48.120 | ENSPVAG00000001363 | NANOS2 | 96 | 48.120 | Pteropus_vampyrus |
ENSACAG00000022790 | - | 97 | 39.394 | ENSPVAG00000017538 | NANOS3 | 75 | 40.152 | Pteropus_vampyrus |
ENSACAG00000022790 | - | 82 | 43.269 | ENSPNYG00000004545 | NANOS2 | 76 | 39.423 | Pundamilia_nyererei |
ENSACAG00000022790 | - | 97 | 44.000 | ENSPNAG00000002259 | nanos3 | 77 | 44.355 | Pygocentrus_nattereri |
ENSACAG00000022790 | - | 97 | 44.030 | ENSRNOG00000031593 | Nanos3 | 73 | 43.077 | Rattus_norvegicus |
ENSACAG00000022790 | - | 97 | 47.407 | ENSRNOG00000038088 | Nanos2 | 96 | 47.407 | Rattus_norvegicus |
ENSACAG00000022790 | - | 97 | 48.872 | ENSRBIG00000023726 | NANOS2 | 96 | 48.872 | Rhinopithecus_bieti |
ENSACAG00000022790 | - | 97 | 38.667 | ENSRBIG00000037377 | NANOS3 | 79 | 36.667 | Rhinopithecus_bieti |
ENSACAG00000022790 | - | 97 | 38.411 | ENSRROG00000032642 | NANOS3 | 79 | 38.411 | Rhinopithecus_roxellana |
ENSACAG00000022790 | - | 97 | 48.872 | ENSRROG00000014903 | NANOS2 | 96 | 48.872 | Rhinopithecus_roxellana |
ENSACAG00000022790 | - | 97 | 38.129 | ENSSBOG00000020970 | NANOS3 | 76 | 38.849 | Saimiri_boliviensis_boliviensis |
ENSACAG00000022790 | - | 97 | 47.101 | ENSSHAG00000017034 | NANOS2 | 96 | 46.970 | Sarcophilus_harrisii |
ENSACAG00000022790 | - | 83 | 44.444 | ENSSHAG00000012099 | - | 80 | 41.509 | Sarcophilus_harrisii |
ENSACAG00000022790 | - | 92 | 44.167 | ENSSHAG00000010756 | - | 89 | 44.167 | Sarcophilus_harrisii |
ENSACAG00000022790 | - | 84 | 42.056 | ENSSFOG00015007586 | - | 78 | 41.121 | Scleropages_formosus |
ENSACAG00000022790 | - | 83 | 40.000 | ENSSFOG00015013452 | nanos3 | 86 | 40.000 | Scleropages_formosus |
ENSACAG00000022790 | - | 87 | 33.088 | ENSSMAG00000013915 | nanos2 | 81 | 35.294 | Scophthalmus_maximus |
ENSACAG00000022790 | - | 97 | 33.333 | ENSSDUG00000016576 | nanos2 | 85 | 34.014 | Seriola_dumerili |
ENSACAG00000022790 | - | 94 | 31.944 | ENSSLDG00000013795 | nanos2 | 80 | 33.333 | Seriola_lalandi_dorsalis |
ENSACAG00000022790 | - | 97 | 44.615 | ENSSARG00000008966 | NANOS3 | 73 | 44.615 | Sorex_araneus |
ENSACAG00000022790 | - | 95 | 44.444 | ENSSPUG00000009826 | NANOS3 | 63 | 45.763 | Sphenodon_punctatus |
ENSACAG00000022790 | - | 98 | 50.735 | ENSSPUG00000002566 | NANOS2 | 94 | 50.735 | Sphenodon_punctatus |
ENSACAG00000022790 | - | 84 | 39.844 | ENSSPAG00000003887 | nanos2 | 83 | 39.844 | Stegastes_partitus |
ENSACAG00000022790 | - | 97 | 48.905 | ENSSSCG00000003096 | NANOS2 | 96 | 48.872 | Sus_scrofa |
ENSACAG00000022790 | - | 97 | 42.029 | ENSSSCG00000013759 | NANOS3 | 75 | 41.045 | Sus_scrofa |
ENSACAG00000022790 | - | 91 | 42.735 | ENSTRUG00000017633 | nanos2 | 92 | 40.336 | Takifugu_rubripes |
ENSACAG00000022790 | - | 94 | 39.098 | ENSTNIG00000010543 | - | 96 | 39.062 | Tetraodon_nigroviridis |
ENSACAG00000022790 | - | 82 | 47.899 | ENSTNIG00000014063 | nanos3 | 84 | 47.899 | Tetraodon_nigroviridis |
ENSACAG00000022790 | - | 97 | 42.308 | ENSTBEG00000013729 | NANOS3 | 86 | 41.667 | Tupaia_belangeri |
ENSACAG00000022790 | - | 97 | 41.221 | ENSTTRG00000008361 | NANOS3 | 78 | 40.909 | Tursiops_truncatus |
ENSACAG00000022790 | - | 97 | 48.872 | ENSTTRG00000014315 | NANOS2 | 96 | 49.624 | Tursiops_truncatus |
ENSACAG00000022790 | - | 97 | 48.872 | ENSUAMG00000023170 | NANOS2 | 96 | 48.872 | Ursus_americanus |
ENSACAG00000022790 | - | 97 | 42.308 | ENSUAMG00000006804 | NANOS3 | 75 | 41.667 | Ursus_americanus |
ENSACAG00000022790 | - | 80 | 46.729 | ENSUMAG00000023699 | NANOS2 | 70 | 46.729 | Ursus_maritimus |
ENSACAG00000022790 | - | 97 | 42.308 | ENSUMAG00000004703 | NANOS3 | 73 | 41.667 | Ursus_maritimus |
ENSACAG00000022790 | - | 97 | 40.580 | ENSVPAG00000011497 | NANOS3 | 76 | 40.909 | Vicugna_pacos |
ENSACAG00000022790 | - | 97 | 42.308 | ENSVVUG00000026757 | NANOS3 | 76 | 41.667 | Vulpes_vulpes |
ENSACAG00000022790 | - | 97 | 48.905 | ENSVVUG00000002993 | NANOS2 | 96 | 48.120 | Vulpes_vulpes |
ENSACAG00000022790 | - | 94 | 36.885 | ENSXETG00000024565 | nanos1 | 84 | 40.741 | Xenopus_tropicalis |
ENSACAG00000022790 | - | 97 | 36.364 | ENSXETG00000021874 | nanos3 | 97 | 38.462 | Xenopus_tropicalis |
ENSACAG00000022790 | - | 98 | 40.580 | ENSXETG00000014552 | NANOS2 | 98 | 39.855 | Xenopus_tropicalis |
ENSACAG00000022790 | - | 84 | 33.333 | ENSXMAG00000020157 | - | 64 | 33.333 | Xiphophorus_maculatus |