Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSGACP00000025119 | zf-nanos | PF05741.13 | 3.4e-22 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSGACT00000025168 | - | 474 | - | ENSGACP00000025119 | 157 (aa) | - | G3Q5G3 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSGACG00000019003 | nanos3 | 80 | 38.095 | ENSGACG00000004930 | - | 96 | 38.095 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSG00000188425 | NANOS2 | 90 | 38.406 | Homo_sapiens |
ENSGACG00000019003 | nanos3 | 89 | 42.857 | ENSG00000187556 | NANOS3 | 74 | 42.384 | Homo_sapiens |
ENSGACG00000019003 | nanos3 | 80 | 36.154 | ENSAPOG00000020274 | nanos2 | 78 | 36.154 | Acanthochromis_polyacanthus |
ENSGACG00000019003 | nanos3 | 100 | 48.372 | ENSAPOG00000009762 | nanos3 | 100 | 49.767 | Acanthochromis_polyacanthus |
ENSGACG00000019003 | nanos3 | 87 | 44.118 | ENSAMEG00000012972 | NANOS3 | 68 | 44.118 | Ailuropoda_melanoleuca |
ENSGACG00000019003 | nanos3 | 100 | 76.378 | ENSACIG00000009111 | nanos3 | 77 | 76.378 | Amphilophus_citrinellus |
ENSGACG00000019003 | nanos3 | 79 | 34.677 | ENSACIG00000007105 | nanos2 | 68 | 34.677 | Amphilophus_citrinellus |
ENSGACG00000019003 | nanos3 | 82 | 31.783 | ENSAOCG00000009429 | nanos2 | 80 | 31.538 | Amphiprion_ocellaris |
ENSGACG00000019003 | nanos3 | 92 | 54.455 | ENSAOCG00000009870 | nanos3 | 99 | 54.455 | Amphiprion_ocellaris |
ENSGACG00000019003 | nanos3 | 92 | 54.455 | ENSAPEG00000013733 | nanos3 | 99 | 54.455 | Amphiprion_percula |
ENSGACG00000019003 | nanos3 | 83 | 31.538 | ENSAPEG00000019139 | nanos2 | 81 | 31.538 | Amphiprion_percula |
ENSGACG00000019003 | nanos3 | 82 | 35.821 | ENSATEG00000009393 | nanos2 | 80 | 35.115 | Anabas_testudineus |
ENSGACG00000019003 | nanos3 | 91 | 46.305 | ENSATEG00000007052 | - | 89 | 46.305 | Anabas_testudineus |
ENSGACG00000019003 | nanos3 | 85 | 82.178 | ENSATEG00000019463 | nanos3 | 60 | 82.178 | Anabas_testudineus |
ENSGACG00000019003 | nanos3 | 88 | 36.232 | ENSACAG00000014502 | - | 90 | 36.232 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSACAG00000024432 | - | 90 | 36.957 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSACAG00000023813 | - | 90 | 38.406 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSACAG00000025505 | - | 90 | 38.406 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 36.232 | ENSACAG00000025632 | - | 90 | 36.232 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 37.681 | ENSACAG00000023650 | - | 88 | 37.681 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 36.232 | ENSACAG00000028048 | - | 90 | 36.232 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 37.681 | ENSACAG00000023519 | - | 88 | 37.681 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 85 | 35.821 | ENSACAG00000022790 | - | 90 | 36.567 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 36.232 | ENSACAG00000022321 | - | 90 | 36.232 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSACAG00000026819 | - | 88 | 36.957 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 37.681 | ENSACAG00000022207 | - | 90 | 37.681 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 88 | 34.783 | ENSACAG00000024003 | - | 90 | 34.783 | Anolis_carolinensis |
ENSGACG00000019003 | nanos3 | 89 | 44.286 | ENSANAG00000025042 | NANOS3 | 74 | 43.571 | Aotus_nancymaae |
ENSGACG00000019003 | nanos3 | 100 | 51.835 | ENSACLG00000020332 | nanos3 | 99 | 51.835 | Astatotilapia_calliptera |
ENSGACG00000019003 | nanos3 | 79 | 34.722 | ENSACLG00000013474 | - | 78 | 34.722 | Astatotilapia_calliptera |
ENSGACG00000019003 | nanos3 | 79 | 32.680 | ENSAMXG00000043091 | nanos1 | 81 | 32.895 | Astyanax_mexicanus |
ENSGACG00000019003 | nanos3 | 79 | 32.026 | ENSAMXG00000030027 | NANOS1 | 81 | 32.026 | Astyanax_mexicanus |
ENSGACG00000019003 | nanos3 | 83 | 37.143 | ENSAMXG00000042358 | nanos2 | 81 | 37.143 | Astyanax_mexicanus |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSBTAG00000047505 | NANOS2 | 90 | 39.130 | Bos_taurus |
ENSGACG00000019003 | nanos3 | 87 | 44.203 | ENSBTAG00000000399 | NANOS3 | 69 | 44.203 | Bos_taurus |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSCJAG00000012141 | NANOS2 | 88 | 39.855 | Callithrix_jacchus |
ENSGACG00000019003 | nanos3 | 89 | 41.727 | ENSCJAG00000004388 | NANOS3 | 73 | 42.857 | Callithrix_jacchus |
ENSGACG00000019003 | nanos3 | 89 | 36.691 | ENSCAFG00000024541 | NANOS2 | 91 | 36.691 | Canis_familiaris |
ENSGACG00000019003 | nanos3 | 87 | 41.912 | ENSCAFG00000016592 | NANOS3 | 64 | 42.857 | Canis_familiaris |
ENSGACG00000019003 | nanos3 | 89 | 36.691 | ENSCAFG00020001772 | NANOS2 | 91 | 36.691 | Canis_lupus_dingo |
ENSGACG00000019003 | nanos3 | 87 | 41.912 | ENSCAFG00020006694 | NANOS3 | 64 | 42.857 | Canis_lupus_dingo |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSCHIG00000012637 | NANOS2 | 90 | 40.580 | Capra_hircus |
ENSGACG00000019003 | nanos3 | 87 | 44.928 | ENSCHIG00000007837 | NANOS3 | 68 | 44.928 | Capra_hircus |
ENSGACG00000019003 | nanos3 | 89 | 43.151 | ENSTSYG00000026709 | NANOS3 | 69 | 43.662 | Carlito_syrichta |
ENSGACG00000019003 | nanos3 | 87 | 42.336 | ENSCAPG00000014339 | NANOS3 | 79 | 43.262 | Cavia_aperea |
ENSGACG00000019003 | nanos3 | 88 | 41.007 | ENSCAPG00000016771 | NANOS2 | 89 | 41.007 | Cavia_aperea |
ENSGACG00000019003 | nanos3 | 88 | 41.007 | ENSCPOG00000014969 | NANOS2 | 89 | 41.007 | Cavia_porcellus |
ENSGACG00000019003 | nanos3 | 87 | 43.796 | ENSCPOG00000020727 | NANOS3 | 69 | 43.796 | Cavia_porcellus |
ENSGACG00000019003 | nanos3 | 89 | 38.667 | ENSCCAG00000036253 | NANOS3 | 71 | 42.143 | Cebus_capucinus |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSCATG00000018951 | NANOS2 | 90 | 38.732 | Cercocebus_atys |
ENSGACG00000019003 | nanos3 | 89 | 38.462 | ENSCATG00000034885 | NANOS3 | 74 | 40.816 | Cercocebus_atys |
ENSGACG00000019003 | nanos3 | 87 | 45.255 | ENSCLAG00000015139 | NANOS3 | 70 | 44.681 | Chinchilla_lanigera |
ENSGACG00000019003 | nanos3 | 88 | 39.855 | ENSCLAG00000001832 | NANOS2 | 89 | 39.855 | Chinchilla_lanigera |
ENSGACG00000019003 | nanos3 | 89 | 37.037 | ENSCSAG00000006428 | NANOS3 | 76 | 38.854 | Chlorocebus_sabaeus |
ENSGACG00000019003 | nanos3 | 88 | 37.681 | ENSCSAG00000019629 | NANOS2 | 90 | 35.971 | Chlorocebus_sabaeus |
ENSGACG00000019003 | nanos3 | 89 | 39.286 | ENSCHOG00000001937 | NANOS2 | 91 | 39.286 | Choloepus_hoffmanni |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSCPBG00000007141 | NANOS2 | 81 | 36.957 | Chrysemys_picta_bellii |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSCPBG00000023819 | NANOS3 | 87 | 39.130 | Chrysemys_picta_bellii |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSCANG00000012014 | NANOS2 | 90 | 38.732 | Colobus_angolensis_palliatus |
ENSGACG00000019003 | nanos3 | 89 | 40.714 | ENSCANG00000034930 | NANOS3 | 75 | 39.735 | Colobus_angolensis_palliatus |
ENSGACG00000019003 | nanos3 | 86 | 37.500 | ENSCGRG00001013726 | Nanos2 | 87 | 37.500 | Cricetulus_griseus_chok1gshd |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | ENSCGRG00001023851 | Nanos3 | 68 | 42.222 | Cricetulus_griseus_chok1gshd |
ENSGACG00000019003 | nanos3 | 86 | 37.500 | ENSCGRG00000019170 | Nanos2 | 87 | 37.500 | Cricetulus_griseus_crigri |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | ENSCGRG00000017734 | Nanos3 | 66 | 42.222 | Cricetulus_griseus_crigri |
ENSGACG00000019003 | nanos3 | 83 | 39.098 | ENSCSEG00000017157 | nanos2 | 83 | 37.410 | Cynoglossus_semilaevis |
ENSGACG00000019003 | nanos3 | 99 | 41.096 | ENSCSEG00000008032 | nanos3 | 56 | 55.814 | Cynoglossus_semilaevis |
ENSGACG00000019003 | nanos3 | 80 | 38.889 | ENSCVAG00000006947 | nanos2 | 79 | 38.889 | Cyprinodon_variegatus |
ENSGACG00000019003 | nanos3 | 96 | 44.898 | ENSCVAG00000011987 | nanos3 | 97 | 44.898 | Cyprinodon_variegatus |
ENSGACG00000019003 | nanos3 | 90 | 31.609 | ENSCVAG00000019077 | - | 86 | 32.184 | Cyprinodon_variegatus |
ENSGACG00000019003 | nanos3 | 90 | 58.503 | ENSDARG00000068255 | nanos3 | 89 | 58.503 | Danio_rerio |
ENSGACG00000019003 | nanos3 | 84 | 36.429 | ENSDARG00000116802 | nanos2 | 93 | 35.862 | Danio_rerio |
ENSGACG00000019003 | nanos3 | 88 | 40.288 | ENSDNOG00000044718 | NANOS2 | 90 | 40.288 | Dasypus_novemcinctus |
ENSGACG00000019003 | nanos3 | 89 | 45.070 | ENSEASG00005015313 | NANOS3 | 71 | 45.652 | Equus_asinus_asinus |
ENSGACG00000019003 | nanos3 | 88 | 40.426 | ENSEASG00005014235 | NANOS2 | 90 | 39.716 | Equus_asinus_asinus |
ENSGACG00000019003 | nanos3 | 88 | 40.426 | ENSECAG00000006033 | NANOS2 | 90 | 39.716 | Equus_caballus |
ENSGACG00000019003 | nanos3 | 87 | 45.652 | ENSECAG00000016293 | NANOS3 | 68 | 45.652 | Equus_caballus |
ENSGACG00000019003 | nanos3 | 89 | 41.549 | ENSEEUG00000009930 | NANOS2 | 91 | 41.549 | Erinaceus_europaeus |
ENSGACG00000019003 | nanos3 | 89 | 40.132 | ENSEEUG00000009900 | NANOS3 | 83 | 40.132 | Erinaceus_europaeus |
ENSGACG00000019003 | nanos3 | 96 | 49.701 | ENSELUG00000016082 | nanos3 | 98 | 49.701 | Esox_lucius |
ENSGACG00000019003 | nanos3 | 85 | 51.007 | ENSELUG00000016582 | - | 81 | 51.007 | Esox_lucius |
ENSGACG00000019003 | nanos3 | 88 | 38.129 | ENSFCAG00000027661 | NANOS2 | 90 | 37.681 | Felis_catus |
ENSGACG00000019003 | nanos3 | 89 | 45.775 | ENSFDAG00000018459 | NANOS3 | 70 | 45.775 | Fukomys_damarensis |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSFDAG00000016342 | NANOS2 | 89 | 39.130 | Fukomys_damarensis |
ENSGACG00000019003 | nanos3 | 80 | 33.333 | ENSFHEG00000012835 | NANOS2 | 86 | 31.061 | Fundulus_heteroclitus |
ENSGACG00000019003 | nanos3 | 94 | 49.689 | ENSFHEG00000017084 | - | 89 | 51.553 | Fundulus_heteroclitus |
ENSGACG00000019003 | nanos3 | 79 | 37.097 | ENSGMOG00000015980 | - | 95 | 37.097 | Gadus_morhua |
ENSGACG00000019003 | nanos3 | 100 | 51.942 | ENSGAFG00000010617 | nanos3 | 99 | 51.942 | Gambusia_affinis |
ENSGACG00000019003 | nanos3 | 79 | 36.552 | ENSGAFG00000017593 | NANOS1 | 79 | 36.552 | Gambusia_affinis |
ENSGACG00000019003 | nanos3 | 90 | 37.589 | ENSGAGG00000009500 | NANOS2 | 76 | 37.589 | Gopherus_agassizii |
ENSGACG00000019003 | nanos3 | 85 | 37.594 | ENSGAGG00000005591 | - | 66 | 37.594 | Gopherus_agassizii |
ENSGACG00000019003 | nanos3 | 89 | 40.764 | ENSGGOG00000000964 | NANOS3 | 75 | 40.764 | Gorilla_gorilla |
ENSGACG00000019003 | nanos3 | 88 | 37.681 | ENSGGOG00000013447 | NANOS2 | 90 | 37.681 | Gorilla_gorilla |
ENSGACG00000019003 | nanos3 | 79 | 34.722 | ENSHBUG00000019798 | - | 78 | 34.722 | Haplochromis_burtoni |
ENSGACG00000019003 | nanos3 | 100 | 51.835 | ENSHBUG00000018730 | nanos3 | 99 | 51.835 | Haplochromis_burtoni |
ENSGACG00000019003 | nanos3 | 87 | 33.108 | ENSHBUG00000016772 | nanos2 | 89 | 36.242 | Haplochromis_burtoni |
ENSGACG00000019003 | nanos3 | 89 | 45.390 | ENSHGLG00000019378 | NANOS3 | 68 | 45.390 | Heterocephalus_glaber_female |
ENSGACG00000019003 | nanos3 | 89 | 45.390 | ENSHGLG00100012652 | NANOS3 | 68 | 45.390 | Heterocephalus_glaber_male |
ENSGACG00000019003 | nanos3 | 88 | 33.333 | ENSHCOG00000010326 | NANOS1 | 85 | 33.333 | Hippocampus_comes |
ENSGACG00000019003 | nanos3 | 87 | 55.072 | ENSHCOG00000014790 | nanos3 | 85 | 55.072 | Hippocampus_comes |
ENSGACG00000019003 | nanos3 | 79 | 36.364 | ENSIPUG00000024113 | nanos2 | 77 | 36.364 | Ictalurus_punctatus |
ENSGACG00000019003 | nanos3 | 98 | 45.963 | ENSIPUG00000007200 | - | 94 | 45.963 | Ictalurus_punctatus |
ENSGACG00000019003 | nanos3 | 90 | 48.993 | ENSIPUG00000012246 | - | 75 | 48.993 | Ictalurus_punctatus |
ENSGACG00000019003 | nanos3 | 90 | 44.048 | ENSIPUG00000008857 | nanos3 | 90 | 48.810 | Ictalurus_punctatus |
ENSGACG00000019003 | nanos3 | 87 | 41.176 | ENSSTOG00000024797 | NANOS3 | 67 | 44.853 | Ictidomys_tridecemlineatus |
ENSGACG00000019003 | nanos3 | 88 | 40.000 | ENSSTOG00000021724 | NANOS2 | 89 | 40.000 | Ictidomys_tridecemlineatus |
ENSGACG00000019003 | nanos3 | 86 | 42.754 | ENSJJAG00000000545 | Nanos3 | 66 | 43.704 | Jaculus_jaculus |
ENSGACG00000019003 | nanos3 | 100 | 52.113 | ENSKMAG00000018767 | nanos3 | 99 | 54.460 | Kryptolebias_marmoratus |
ENSGACG00000019003 | nanos3 | 87 | 34.868 | ENSLBEG00000018836 | nanos2 | 90 | 34.868 | Labrus_bergylta |
ENSGACG00000019003 | nanos3 | 100 | 73.016 | ENSLBEG00000004936 | nanos3 | 70 | 75.397 | Labrus_bergylta |
ENSGACG00000019003 | nanos3 | 90 | 33.544 | ENSLACG00000014980 | - | 89 | 33.544 | Latimeria_chalumnae |
ENSGACG00000019003 | nanos3 | 88 | 39.568 | ENSLACG00000013286 | NANOS3 | 88 | 39.568 | Latimeria_chalumnae |
ENSGACG00000019003 | nanos3 | 88 | 40.141 | ENSLAFG00000014090 | NANOS2 | 90 | 40.141 | Loxodonta_africana |
ENSGACG00000019003 | nanos3 | 87 | 43.382 | ENSLAFG00000008480 | NANOS3 | 69 | 42.857 | Loxodonta_africana |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSMFAG00000017215 | NANOS2 | 90 | 38.732 | Macaca_fascicularis |
ENSGACG00000019003 | nanos3 | 89 | 39.073 | ENSMFAG00000040009 | NANOS3 | 74 | 39.073 | Macaca_fascicularis |
ENSGACG00000019003 | nanos3 | 89 | 40.132 | ENSMMUG00000008316 | NANOS3 | 74 | 40.132 | Macaca_mulatta |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSMMUG00000008103 | NANOS2 | 90 | 38.732 | Macaca_mulatta |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSMNEG00000004633 | NANOS2 | 90 | 38.732 | Macaca_nemestrina |
ENSGACG00000019003 | nanos3 | 89 | 39.073 | ENSMNEG00000028898 | NANOS3 | 74 | 39.073 | Macaca_nemestrina |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSMLEG00000001810 | NANOS2 | 90 | 38.732 | Mandrillus_leucophaeus |
ENSGACG00000019003 | nanos3 | 89 | 40.714 | ENSMLEG00000033135 | NANOS3 | 74 | 39.869 | Mandrillus_leucophaeus |
ENSGACG00000019003 | nanos3 | 99 | 76.613 | ENSMAMG00000011660 | nanos3 | 68 | 76.613 | Mastacembelus_armatus |
ENSGACG00000019003 | nanos3 | 83 | 35.252 | ENSMAMG00000015477 | - | 68 | 35.252 | Mastacembelus_armatus |
ENSGACG00000019003 | nanos3 | 90 | 33.793 | ENSMAMG00000005577 | NANOS2 | 87 | 33.793 | Mastacembelus_armatus |
ENSGACG00000019003 | nanos3 | 81 | 33.083 | ENSMZEG00005028148 | - | 80 | 36.567 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 81 | 33.083 | ENSMZEG00005028154 | - | 80 | 36.567 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 100 | 51.835 | ENSMZEG00005007690 | nanos3 | 99 | 51.835 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 81 | 33.083 | ENSMZEG00005024641 | - | 80 | 36.567 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 81 | 33.083 | ENSMZEG00005003043 | - | 80 | 36.567 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 87 | 34.459 | ENSMZEG00005021987 | - | 89 | 36.913 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 79 | 34.722 | ENSMZEG00005002722 | - | 78 | 34.722 | Maylandia_zebra |
ENSGACG00000019003 | nanos3 | 86 | 45.255 | ENSMAUG00000008396 | Nanos3 | 66 | 45.255 | Mesocricetus_auratus |
ENSGACG00000019003 | nanos3 | 87 | 44.118 | ENSMICG00000030950 | NANOS3 | 71 | 43.571 | Microcebus_murinus |
ENSGACG00000019003 | nanos3 | 86 | 41.481 | ENSMOCG00000000059 | Nanos3 | 67 | 44.444 | Microtus_ochrogaster |
ENSGACG00000019003 | nanos3 | 86 | 38.519 | ENSMOCG00000001985 | Nanos2 | 87 | 38.519 | Microtus_ochrogaster |
ENSGACG00000019003 | nanos3 | 79 | 36.719 | ENSMMOG00000009827 | nanos2 | 76 | 36.719 | Mola_mola |
ENSGACG00000019003 | nanos3 | 79 | 33.333 | ENSMMOG00000003796 | - | 78 | 33.333 | Mola_mola |
ENSGACG00000019003 | nanos3 | 88 | 41.429 | ENSMODG00000023964 | - | 89 | 41.429 | Monodelphis_domestica |
ENSGACG00000019003 | nanos3 | 100 | 68.987 | ENSMALG00000005945 | nanos3 | 95 | 68.987 | Monopterus_albus |
ENSGACG00000019003 | nanos3 | 80 | 34.921 | ENSMALG00000006299 | nanos2 | 70 | 34.921 | Monopterus_albus |
ENSGACG00000019003 | nanos3 | 90 | 54.930 | ENSMALG00000011545 | - | 68 | 54.930 | Monopterus_albus |
ENSGACG00000019003 | nanos3 | 88 | 37.681 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 90 | 37.681 | Mus_caroli |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 66 | 42.222 | Mus_caroli |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | ENSMUSG00000056155 | Nanos3 | 68 | 42.222 | Mus_musculus |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSMUSG00000051965 | Nanos2 | 90 | 38.406 | Mus_musculus |
ENSGACG00000019003 | nanos3 | 86 | 37.226 | MGP_PahariEiJ_G0021123 | Nanos2 | 88 | 37.226 | Mus_pahari |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | MGP_PahariEiJ_G0022902 | Nanos3 | 66 | 42.222 | Mus_pahari |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | MGP_SPRETEiJ_G0030347 | Nanos2 | 90 | 38.406 | Mus_spretus |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | MGP_SPRETEiJ_G0032414 | Nanos3 | 66 | 42.222 | Mus_spretus |
ENSGACG00000019003 | nanos3 | 89 | 42.143 | ENSMPUG00000003282 | NANOS3 | 69 | 42.143 | Mustela_putorius_furo |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSMPUG00000019371 | NANOS2 | 90 | 39.130 | Mustela_putorius_furo |
ENSGACG00000019003 | nanos3 | 87 | 44.118 | ENSMLUG00000012971 | NANOS3 | 68 | 44.118 | Myotis_lucifugus |
ENSGACG00000019003 | nanos3 | 78 | 33.333 | ENSNGAG00000023539 | Nanos1 | 71 | 33.333 | Nannospalax_galili |
ENSGACG00000019003 | nanos3 | 86 | 42.222 | ENSNGAG00000020486 | Nanos3 | 66 | 42.222 | Nannospalax_galili |
ENSGACG00000019003 | nanos3 | 100 | 52.294 | ENSNBRG00000023737 | nanos3 | 99 | 52.294 | Neolamprologus_brichardi |
ENSGACG00000019003 | nanos3 | 79 | 34.722 | ENSNBRG00000014018 | - | 78 | 34.722 | Neolamprologus_brichardi |
ENSGACG00000019003 | nanos3 | 89 | 44.286 | ENSNLEG00000034574 | NANOS3 | 74 | 42.384 | Nomascus_leucogenys |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSOPRG00000010043 | NANOS2 | 90 | 39.130 | Ochotona_princeps |
ENSGACG00000019003 | nanos3 | 89 | 43.662 | ENSOPRG00000007211 | - | 72 | 44.218 | Ochotona_princeps |
ENSGACG00000019003 | nanos3 | 89 | 40.714 | ENSODEG00000008907 | NANOS3 | 68 | 40.714 | Octodon_degus |
ENSGACG00000019003 | nanos3 | 100 | 53.456 | ENSONIG00000020588 | nanos3 | 99 | 51.613 | Oreochromis_niloticus |
ENSGACG00000019003 | nanos3 | 88 | 38.129 | ENSOANG00000013042 | - | 90 | 38.129 | Ornithorhynchus_anatinus |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSOCUG00000023755 | NANOS2 | 90 | 39.716 | Oryctolagus_cuniculus |
ENSGACG00000019003 | nanos3 | 87 | 38.971 | ENSOCUG00000014802 | NANOS3 | 71 | 43.382 | Oryctolagus_cuniculus |
ENSGACG00000019003 | nanos3 | 100 | 47.264 | ENSORLG00000012018 | nanos3 | 99 | 47.264 | Oryzias_latipes |
ENSGACG00000019003 | nanos3 | 79 | 35.256 | ENSORLG00000027849 | nanos1a | 82 | 35.256 | Oryzias_latipes |
ENSGACG00000019003 | nanos3 | 81 | 35.433 | ENSORLG00020013284 | nanos2 | 78 | 37.008 | Oryzias_latipes_hni |
ENSGACG00000019003 | nanos3 | 79 | 34.615 | ENSORLG00020008713 | - | 82 | 34.615 | Oryzias_latipes_hni |
ENSGACG00000019003 | nanos3 | 100 | 47.264 | ENSORLG00020004967 | nanos3 | 99 | 47.264 | Oryzias_latipes_hni |
ENSGACG00000019003 | nanos3 | 100 | 47.475 | ENSORLG00015003631 | nanos3 | 98 | 47.475 | Oryzias_latipes_hsok |
ENSGACG00000019003 | nanos3 | 83 | 35.115 | ENSORLG00015013150 | nanos2 | 81 | 36.641 | Oryzias_latipes_hsok |
ENSGACG00000019003 | nanos3 | 79 | 35.256 | ENSORLG00015000175 | - | 82 | 35.256 | Oryzias_latipes_hsok |
ENSGACG00000019003 | nanos3 | 95 | 47.208 | ENSOMEG00000000922 | nanos3 | 96 | 47.208 | Oryzias_melastigma |
ENSGACG00000019003 | nanos3 | 81 | 35.433 | ENSOMEG00000006512 | nanos2 | 79 | 36.000 | Oryzias_melastigma |
ENSGACG00000019003 | nanos3 | 87 | 42.647 | ENSOGAG00000007190 | NANOS3 | 68 | 42.647 | Otolemur_garnettii |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSOGAG00000032290 | NANOS2 | 90 | 40.288 | Otolemur_garnettii |
ENSGACG00000019003 | nanos3 | 87 | 44.203 | ENSOARG00000008043 | NANOS3 | 66 | 44.203 | Ovis_aries |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSOARG00000011467 | NANOS2 | 90 | 40.580 | Ovis_aries |
ENSGACG00000019003 | nanos3 | 89 | 42.857 | ENSPPAG00000032168 | NANOS3 | 74 | 42.384 | Pan_paniscus |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSPPAG00000020568 | NANOS2 | 90 | 38.406 | Pan_paniscus |
ENSGACG00000019003 | nanos3 | 88 | 38.129 | ENSPPRG00000015211 | NANOS2 | 90 | 37.681 | Panthera_pardus |
ENSGACG00000019003 | nanos3 | 87 | 41.606 | ENSPPRG00000009573 | NANOS3 | 68 | 44.853 | Panthera_pardus |
ENSGACG00000019003 | nanos3 | 85 | 39.552 | ENSPTIG00000015372 | NANOS2 | 86 | 38.346 | Panthera_tigris_altaica |
ENSGACG00000019003 | nanos3 | 87 | 41.606 | ENSPTIG00000000325 | NANOS3 | 68 | 44.853 | Panthera_tigris_altaica |
ENSGACG00000019003 | nanos3 | 89 | 42.384 | ENSPTRG00000010568 | NANOS3 | 74 | 42.384 | Pan_troglodytes |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSPTRG00000011172 | NANOS2 | 90 | 38.406 | Pan_troglodytes |
ENSGACG00000019003 | nanos3 | 89 | 39.735 | ENSPANG00000015037 | NANOS3 | 73 | 39.735 | Papio_anubis |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSPANG00000009327 | NANOS2 | 90 | 37.324 | Papio_anubis |
ENSGACG00000019003 | nanos3 | 90 | 48.227 | ENSPKIG00000006905 | - | 62 | 48.227 | Paramormyrops_kingsleyae |
ENSGACG00000019003 | nanos3 | 92 | 39.884 | ENSPKIG00000009354 | nanos3 | 80 | 39.884 | Paramormyrops_kingsleyae |
ENSGACG00000019003 | nanos3 | 85 | 36.090 | ENSPKIG00000006934 | - | 84 | 35.878 | Paramormyrops_kingsleyae |
ENSGACG00000019003 | nanos3 | 88 | 35.507 | ENSPSIG00000007082 | NANOS2 | 89 | 35.507 | Pelodiscus_sinensis |
ENSGACG00000019003 | nanos3 | 100 | 55.024 | ENSPMGG00000016412 | nanos3 | 99 | 55.024 | Periophthalmus_magnuspinnatus |
ENSGACG00000019003 | nanos3 | 82 | 37.984 | ENSPMGG00000023681 | nanos2 | 73 | 37.984 | Periophthalmus_magnuspinnatus |
ENSGACG00000019003 | nanos3 | 86 | 39.706 | ENSPEMG00000014999 | Nanos2 | 87 | 39.706 | Peromyscus_maniculatus_bairdii |
ENSGACG00000019003 | nanos3 | 100 | 51.456 | ENSPFOG00000020123 | nanos3 | 99 | 51.456 | Poecilia_formosa |
ENSGACG00000019003 | nanos3 | 100 | 51.456 | ENSPLAG00000010871 | nanos3 | 100 | 51.456 | Poecilia_latipinna |
ENSGACG00000019003 | nanos3 | 78 | 32.520 | ENSPMEG00000005681 | NANOS2 | 79 | 32.520 | Poecilia_mexicana |
ENSGACG00000019003 | nanos3 | 100 | 52.427 | ENSPMEG00000014135 | nanos3 | 100 | 52.427 | Poecilia_mexicana |
ENSGACG00000019003 | nanos3 | 100 | 51.942 | ENSPREG00000000425 | nanos3 | 99 | 51.942 | Poecilia_reticulata |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSPPYG00000010138 | NANOS2 | 90 | 38.406 | Pongo_abelii |
ENSGACG00000019003 | nanos3 | 89 | 40.127 | ENSPPYG00000009627 | NANOS3 | 75 | 40.127 | Pongo_abelii |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSPCAG00000005087 | NANOS2 | 90 | 38.406 | Procavia_capensis |
ENSGACG00000019003 | nanos3 | 89 | 42.857 | ENSPCOG00000018814 | NANOS3 | 71 | 42.857 | Propithecus_coquereli |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSPVAG00000001363 | NANOS2 | 90 | 38.406 | Pteropus_vampyrus |
ENSGACG00000019003 | nanos3 | 87 | 39.706 | ENSPVAG00000017538 | NANOS3 | 69 | 44.118 | Pteropus_vampyrus |
ENSGACG00000019003 | nanos3 | 79 | 34.722 | ENSPNYG00000001325 | - | 78 | 34.722 | Pundamilia_nyererei |
ENSGACG00000019003 | nanos3 | 100 | 51.376 | ENSPNYG00000001788 | nanos3 | 99 | 51.376 | Pundamilia_nyererei |
ENSGACG00000019003 | nanos3 | 87 | 33.099 | ENSPNYG00000004545 | NANOS2 | 92 | 33.099 | Pundamilia_nyererei |
ENSGACG00000019003 | nanos3 | 90 | 44.681 | ENSPNAG00000002259 | nanos3 | 82 | 42.857 | Pygocentrus_nattereri |
ENSGACG00000019003 | nanos3 | 93 | 31.818 | ENSPNAG00000017440 | nanos2 | 81 | 31.818 | Pygocentrus_nattereri |
ENSGACG00000019003 | nanos3 | 86 | 43.704 | ENSRNOG00000031593 | Nanos3 | 66 | 43.704 | Rattus_norvegicus |
ENSGACG00000019003 | nanos3 | 88 | 39.286 | ENSRNOG00000038088 | Nanos2 | 90 | 39.286 | Rattus_norvegicus |
ENSGACG00000019003 | nanos3 | 89 | 39.744 | ENSRBIG00000037377 | NANOS3 | 75 | 41.060 | Rhinopithecus_bieti |
ENSGACG00000019003 | nanos3 | 88 | 38.406 | ENSRBIG00000023726 | NANOS2 | 90 | 38.732 | Rhinopithecus_bieti |
ENSGACG00000019003 | nanos3 | 89 | 41.447 | ENSRROG00000032642 | NANOS3 | 75 | 41.447 | Rhinopithecus_roxellana |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSRROG00000014903 | NANOS2 | 90 | 39.130 | Rhinopithecus_roxellana |
ENSGACG00000019003 | nanos3 | 89 | 41.007 | ENSSBOG00000020970 | NANOS3 | 73 | 42.143 | Saimiri_boliviensis_boliviensis |
ENSGACG00000019003 | nanos3 | 90 | 41.667 | ENSSHAG00000012099 | - | 92 | 41.667 | Sarcophilus_harrisii |
ENSGACG00000019003 | nanos3 | 88 | 37.324 | ENSSHAG00000017034 | NANOS2 | 89 | 37.324 | Sarcophilus_harrisii |
ENSGACG00000019003 | nanos3 | 90 | 40.972 | ENSSHAG00000010756 | - | 92 | 40.972 | Sarcophilus_harrisii |
ENSGACG00000019003 | nanos3 | 92 | 48.718 | ENSSFOG00015013452 | nanos3 | 100 | 48.718 | Scleropages_formosus |
ENSGACG00000019003 | nanos3 | 83 | 35.507 | ENSSMAG00000013915 | nanos2 | 81 | 35.507 | Scophthalmus_maximus |
ENSGACG00000019003 | nanos3 | 83 | 31.852 | ENSSDUG00000016576 | nanos2 | 82 | 33.333 | Seriola_dumerili |
ENSGACG00000019003 | nanos3 | 99 | 72.727 | ENSSDUG00000002131 | nanos3 | 69 | 74.803 | Seriola_dumerili |
ENSGACG00000019003 | nanos3 | 83 | 35.252 | ENSSDUG00000007879 | - | 69 | 35.252 | Seriola_dumerili |
ENSGACG00000019003 | nanos3 | 83 | 35.252 | ENSSLDG00000021260 | - | 70 | 35.252 | Seriola_lalandi_dorsalis |
ENSGACG00000019003 | nanos3 | 99 | 72.727 | ENSSLDG00000012674 | nanos3 | 70 | 74.016 | Seriola_lalandi_dorsalis |
ENSGACG00000019003 | nanos3 | 87 | 43.382 | ENSSARG00000008966 | NANOS3 | 67 | 43.382 | Sorex_araneus |
ENSGACG00000019003 | nanos3 | 87 | 37.500 | ENSSPUG00000009826 | NANOS3 | 62 | 37.500 | Sphenodon_punctatus |
ENSGACG00000019003 | nanos3 | 88 | 39.130 | ENSSPUG00000002566 | NANOS2 | 86 | 39.130 | Sphenodon_punctatus |
ENSGACG00000019003 | nanos3 | 100 | 49.296 | ENSSPAG00000008183 | nanos3 | 69 | 74.561 | Stegastes_partitus |
ENSGACG00000019003 | nanos3 | 85 | 39.568 | ENSSPAG00000003887 | nanos2 | 88 | 39.568 | Stegastes_partitus |
ENSGACG00000019003 | nanos3 | 88 | 39.007 | ENSSSCG00000003096 | NANOS2 | 90 | 39.007 | Sus_scrofa |
ENSGACG00000019003 | nanos3 | 87 | 44.118 | ENSSSCG00000013759 | NANOS3 | 69 | 44.118 | Sus_scrofa |
ENSGACG00000019003 | nanos3 | 79 | 36.290 | ENSTNIG00000010543 | - | 85 | 36.290 | Tetraodon_nigroviridis |
ENSGACG00000019003 | nanos3 | 90 | 56.738 | ENSTNIG00000014063 | nanos3 | 97 | 56.738 | Tetraodon_nigroviridis |
ENSGACG00000019003 | nanos3 | 89 | 44.286 | ENSTBEG00000013729 | NANOS3 | 81 | 44.286 | Tupaia_belangeri |
ENSGACG00000019003 | nanos3 | 88 | 40.580 | ENSTTRG00000014315 | NANOS2 | 90 | 39.568 | Tursiops_truncatus |
ENSGACG00000019003 | nanos3 | 89 | 41.135 | ENSTTRG00000008361 | NANOS3 | 73 | 43.571 | Tursiops_truncatus |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSUAMG00000023170 | NANOS2 | 90 | 36.957 | Ursus_americanus |
ENSGACG00000019003 | nanos3 | 87 | 40.876 | ENSUAMG00000006804 | NANOS3 | 68 | 44.118 | Ursus_americanus |
ENSGACG00000019003 | nanos3 | 75 | 38.983 | ENSUMAG00000023699 | NANOS2 | 69 | 39.831 | Ursus_maritimus |
ENSGACG00000019003 | nanos3 | 87 | 40.876 | ENSUMAG00000004703 | NANOS3 | 66 | 44.118 | Ursus_maritimus |
ENSGACG00000019003 | nanos3 | 89 | 42.143 | ENSVPAG00000011497 | NANOS3 | 72 | 42.143 | Vicugna_pacos |
ENSGACG00000019003 | nanos3 | 87 | 41.912 | ENSVVUG00000026757 | NANOS3 | 72 | 42.857 | Vulpes_vulpes |
ENSGACG00000019003 | nanos3 | 89 | 39.007 | ENSVVUG00000002993 | NANOS2 | 91 | 39.007 | Vulpes_vulpes |
ENSGACG00000019003 | nanos3 | 78 | 37.302 | ENSXETG00000024565 | nanos1 | 84 | 37.302 | Xenopus_tropicalis |
ENSGACG00000019003 | nanos3 | 88 | 36.957 | ENSXETG00000014552 | NANOS2 | 91 | 36.957 | Xenopus_tropicalis |
ENSGACG00000019003 | nanos3 | 86 | 39.286 | ENSXETG00000021874 | nanos3 | 89 | 39.286 | Xenopus_tropicalis |
ENSGACG00000019003 | nanos3 | 100 | 49.758 | ENSXCOG00000014426 | nanos3 | 99 | 49.758 | Xiphophorus_couchianus |
ENSGACG00000019003 | nanos3 | 100 | 49.758 | ENSXMAG00000023751 | nanos3 | 99 | 49.758 | Xiphophorus_maculatus |