Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSGAFP00000026066 | zf-nanos | PF05741.13 | 6.1e-26 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSGAFT00000026335 | NANOS1-201 | 519 | - | ENSGAFP00000026066 | 172 (aa) | - | - |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSGAFG00000017593 | NANOS1 | 99 | 58.986 | ENSGAFG00000017699 | - | 93 | 59.447 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | ENSG00000187556 | NANOS3 | 67 | 32.192 | Homo_sapiens |
ENSGAFG00000017593 | NANOS1 | 99 | 64.706 | ENSAPOG00000005093 | - | 97 | 59.009 | Acanthochromis_polyacanthus |
ENSGAFG00000017593 | NANOS1 | 99 | 58.182 | ENSAPOG00000004421 | - | 93 | 56.818 | Acanthochromis_polyacanthus |
ENSGAFG00000017593 | NANOS1 | 80 | 34.532 | ENSAMEG00000012972 | NANOS3 | 63 | 34.532 | Ailuropoda_melanoleuca |
ENSGAFG00000017593 | NANOS1 | 91 | 33.544 | ENSACIG00000007105 | nanos2 | 85 | 33.129 | Amphilophus_citrinellus |
ENSGAFG00000017593 | NANOS1 | 100 | 66.520 | ENSACIG00000004805 | - | 100 | 60.526 | Amphilophus_citrinellus |
ENSGAFG00000017593 | NANOS1 | 99 | 58.636 | ENSACIG00000019022 | - | 93 | 57.273 | Amphilophus_citrinellus |
ENSGAFG00000017593 | NANOS1 | 99 | 65.455 | ENSAOCG00000020120 | - | 92 | 59.276 | Amphiprion_ocellaris |
ENSGAFG00000017593 | NANOS1 | 84 | 35.811 | ENSAOCG00000009429 | nanos2 | 82 | 35.811 | Amphiprion_ocellaris |
ENSGAFG00000017593 | NANOS1 | 99 | 58.636 | ENSAOCG00000012346 | - | 93 | 57.273 | Amphiprion_ocellaris |
ENSGAFG00000017593 | NANOS1 | 99 | 58.636 | ENSAPEG00000019024 | - | 93 | 57.273 | Amphiprion_percula |
ENSGAFG00000017593 | NANOS1 | 99 | 65.455 | ENSAPEG00000005585 | - | 92 | 59.276 | Amphiprion_percula |
ENSGAFG00000017593 | NANOS1 | 99 | 65.909 | ENSATEG00000018856 | - | 92 | 59.729 | Anabas_testudineus |
ENSGAFG00000017593 | NANOS1 | 99 | 59.091 | ENSATEG00000006118 | - | 97 | 57.727 | Anabas_testudineus |
ENSGAFG00000017593 | NANOS1 | 80 | 37.681 | ENSACAG00000023813 | - | 96 | 31.847 | Anolis_carolinensis |
ENSGAFG00000017593 | NANOS1 | 81 | 37.143 | ENSACAG00000025505 | - | 96 | 34.395 | Anolis_carolinensis |
ENSGAFG00000017593 | NANOS1 | 80 | 33.333 | ENSANAG00000025042 | NANOS3 | 66 | 34.532 | Aotus_nancymaae |
ENSGAFG00000017593 | NANOS1 | 100 | 64.641 | ENSACLG00000013474 | - | 98 | 63.536 | Astatotilapia_calliptera |
ENSGAFG00000017593 | NANOS1 | 99 | 63.348 | ENSACLG00000014135 | - | 94 | 58.559 | Astatotilapia_calliptera |
ENSGAFG00000017593 | NANOS1 | 97 | 57.527 | ENSAMXG00000043091 | nanos1 | 98 | 60.753 | Astyanax_mexicanus |
ENSGAFG00000017593 | NANOS1 | 97 | 57.527 | ENSAMXG00000030027 | NANOS1 | 98 | 61.667 | Astyanax_mexicanus |
ENSGAFG00000017593 | NANOS1 | 80 | 34.532 | ENSBTAG00000000399 | NANOS3 | 63 | 34.783 | Bos_taurus |
ENSGAFG00000017593 | NANOS1 | 96 | 32.727 | ENSCJAG00000012141 | NANOS2 | 54 | 50.000 | Callithrix_jacchus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.857 | ENSCJAG00000004388 | NANOS3 | 66 | 33.813 | Callithrix_jacchus |
ENSGAFG00000017593 | NANOS1 | 88 | 32.317 | ENSCAFG00000016592 | NANOS3 | 57 | 33.094 | Canis_familiaris |
ENSGAFG00000017593 | NANOS1 | 88 | 32.317 | ENSCAFG00020006694 | NANOS3 | 57 | 33.094 | Canis_lupus_dingo |
ENSGAFG00000017593 | NANOS1 | 80 | 34.532 | ENSCHIG00000007837 | NANOS3 | 62 | 35.507 | Capra_hircus |
ENSGAFG00000017593 | NANOS1 | 80 | 34.532 | ENSTSYG00000026709 | NANOS3 | 63 | 34.532 | Carlito_syrichta |
ENSGAFG00000017593 | NANOS1 | 91 | 34.177 | ENSCAPG00000016771 | NANOS2 | 95 | 34.177 | Cavia_aperea |
ENSGAFG00000017593 | NANOS1 | 88 | 30.178 | ENSCAPG00000014339 | NANOS3 | 70 | 31.884 | Cavia_aperea |
ENSGAFG00000017593 | NANOS1 | 88 | 30.769 | ENSCPOG00000020727 | NANOS3 | 75 | 31.902 | Cavia_porcellus |
ENSGAFG00000017593 | NANOS1 | 91 | 34.177 | ENSCPOG00000014969 | NANOS2 | 95 | 34.177 | Cavia_porcellus |
ENSGAFG00000017593 | NANOS1 | 80 | 34.286 | ENSCCAG00000036253 | NANOS3 | 63 | 33.571 | Cebus_capucinus |
ENSGAFG00000017593 | NANOS1 | 80 | 31.655 | ENSCATG00000034885 | NANOS3 | 67 | 32.432 | Cercocebus_atys |
ENSGAFG00000017593 | NANOS1 | 85 | 35.220 | ENSCLAG00000015139 | NANOS3 | 74 | 33.540 | Chinchilla_lanigera |
ENSGAFG00000017593 | NANOS1 | 80 | 32.877 | ENSCSAG00000006428 | NANOS3 | 69 | 32.877 | Chlorocebus_sabaeus |
ENSGAFG00000017593 | NANOS1 | 80 | 31.944 | ENSCPBG00000023819 | NANOS3 | 79 | 33.333 | Chrysemys_picta_bellii |
ENSGAFG00000017593 | NANOS1 | 80 | 34.247 | ENSCANG00000034930 | NANOS3 | 68 | 32.877 | Colobus_angolensis_palliatus |
ENSGAFG00000017593 | NANOS1 | 80 | 35.252 | ENSCGRG00001023851 | Nanos3 | 63 | 35.252 | Cricetulus_griseus_chok1gshd |
ENSGAFG00000017593 | NANOS1 | 80 | 35.252 | ENSCGRG00000017734 | Nanos3 | 61 | 35.252 | Cricetulus_griseus_crigri |
ENSGAFG00000017593 | NANOS1 | 99 | 63.514 | ENSCSEG00000012772 | - | 94 | 58.296 | Cynoglossus_semilaevis |
ENSGAFG00000017593 | NANOS1 | 96 | 58.411 | ENSCSEG00000004547 | - | 91 | 57.009 | Cynoglossus_semilaevis |
ENSGAFG00000017593 | NANOS1 | 99 | 57.143 | ENSCVAG00000013105 | - | 97 | 56.221 | Cyprinodon_variegatus |
ENSGAFG00000017593 | NANOS1 | 100 | 84.530 | ENSCVAG00000019077 | - | 95 | 84.530 | Cyprinodon_variegatus |
ENSGAFG00000017593 | NANOS1 | 83 | 35.211 | ENSCVAG00000006947 | nanos2 | 90 | 34.641 | Cyprinodon_variegatus |
ENSGAFG00000017593 | NANOS1 | 99 | 54.955 | ENSDARG00000109337 | nanos1 | 97 | 55.856 | Danio_rerio |
ENSGAFG00000017593 | NANOS1 | 81 | 34.722 | ENSDARG00000068255 | nanos3 | 79 | 34.722 | Danio_rerio |
ENSGAFG00000017593 | NANOS1 | 80 | 42.208 | ENSDORG00000029226 | Nanos1 | 90 | 42.697 | Dipodomys_ordii |
ENSGAFG00000017593 | NANOS1 | 88 | 32.335 | ENSEASG00005015313 | NANOS3 | 82 | 31.325 | Equus_asinus_asinus |
ENSGAFG00000017593 | NANOS1 | 88 | 32.335 | ENSECAG00000016293 | NANOS3 | 78 | 31.325 | Equus_caballus |
ENSGAFG00000017593 | NANOS1 | 92 | 33.540 | ENSEEUG00000009930 | NANOS2 | 57 | 50.000 | Erinaceus_europaeus |
ENSGAFG00000017593 | NANOS1 | 80 | 33.803 | ENSEEUG00000009900 | NANOS3 | 74 | 34.783 | Erinaceus_europaeus |
ENSGAFG00000017593 | NANOS1 | 99 | 58.182 | ENSELUG00000022032 | nanos1 | 97 | 58.182 | Esox_lucius |
ENSGAFG00000017593 | NANOS1 | 83 | 31.469 | ENSFHEG00000012835 | NANOS2 | 93 | 31.944 | Fundulus_heteroclitus |
ENSGAFG00000017593 | NANOS1 | 79 | 36.170 | ENSFHEG00000017084 | - | 77 | 36.170 | Fundulus_heteroclitus |
ENSGAFG00000017593 | NANOS1 | 100 | 69.955 | ENSFHEG00000005548 | - | 97 | 66.816 | Fundulus_heteroclitus |
ENSGAFG00000017593 | NANOS1 | 99 | 58.525 | ENSFHEG00000020713 | - | 94 | 58.525 | Fundulus_heteroclitus |
ENSGAFG00000017593 | NANOS1 | 83 | 64.138 | ENSGMOG00000015980 | - | 100 | 64.138 | Gadus_morhua |
ENSGAFG00000017593 | NANOS1 | 52 | 76.923 | ENSGMOG00000020465 | nanos1 | 99 | 76.923 | Gadus_morhua |
ENSGAFG00000017593 | NANOS1 | 79 | 36.552 | ENSGACG00000019003 | nanos3 | 79 | 36.552 | Gasterosteus_aculeatus |
ENSGAFG00000017593 | NANOS1 | 83 | 68.310 | ENSGACG00000004930 | - | 100 | 68.310 | Gasterosteus_aculeatus |
ENSGAFG00000017593 | NANOS1 | 52 | 81.319 | ENSGACG00000016692 | - | 99 | 81.319 | Gasterosteus_aculeatus |
ENSGAFG00000017593 | NANOS1 | 86 | 37.162 | ENSGAGG00000009500 | NANOS2 | 73 | 35.811 | Gopherus_agassizii |
ENSGAFG00000017593 | NANOS1 | 80 | 34.058 | ENSGAGG00000005591 | - | 62 | 34.058 | Gopherus_agassizii |
ENSGAFG00000017593 | NANOS1 | 80 | 33.562 | ENSGGOG00000000964 | NANOS3 | 68 | 33.562 | Gorilla_gorilla |
ENSGAFG00000017593 | NANOS1 | 99 | 63.801 | ENSHBUG00000010726 | - | 94 | 59.009 | Haplochromis_burtoni |
ENSGAFG00000017593 | NANOS1 | 100 | 64.641 | ENSHBUG00000019798 | - | 98 | 63.536 | Haplochromis_burtoni |
ENSGAFG00000017593 | NANOS1 | 88 | 30.909 | ENSHGLG00000019378 | NANOS3 | 71 | 31.447 | Heterocephalus_glaber_female |
ENSGAFG00000017593 | NANOS1 | 88 | 30.909 | ENSHGLG00100012652 | NANOS3 | 71 | 31.447 | Heterocephalus_glaber_male |
ENSGAFG00000017593 | NANOS1 | 100 | 61.000 | ENSHCOG00000011423 | - | 99 | 61.500 | Hippocampus_comes |
ENSGAFG00000017593 | NANOS1 | 79 | 35.211 | ENSHCOG00000014790 | nanos3 | 77 | 32.867 | Hippocampus_comes |
ENSGAFG00000017593 | NANOS1 | 99 | 62.366 | ENSHCOG00000010326 | NANOS1 | 97 | 62.366 | Hippocampus_comes |
ENSGAFG00000017593 | NANOS1 | 79 | 32.099 | ENSIPUG00000008857 | nanos3 | 80 | 33.333 | Ictalurus_punctatus |
ENSGAFG00000017593 | NANOS1 | 100 | 49.569 | ENSIPUG00000020252 | nanos1 | 72 | 72.566 | Ictalurus_punctatus |
ENSGAFG00000017593 | NANOS1 | 92 | 38.365 | ENSIPUG00000024113 | nanos2 | 91 | 38.365 | Ictalurus_punctatus |
ENSGAFG00000017593 | NANOS1 | 79 | 31.507 | ENSIPUG00000007200 | - | 75 | 34.286 | Ictalurus_punctatus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.609 | ENSSTOG00000024797 | NANOS3 | 61 | 34.532 | Ictidomys_tridecemlineatus |
ENSGAFG00000017593 | NANOS1 | 88 | 32.121 | ENSJJAG00000000545 | Nanos3 | 76 | 32.121 | Jaculus_jaculus |
ENSGAFG00000017593 | NANOS1 | 99 | 56.944 | ENSKMAG00000008477 | - | 93 | 57.407 | Kryptolebias_marmoratus |
ENSGAFG00000017593 | NANOS1 | 90 | 34.177 | ENSLBEG00000018836 | nanos2 | 95 | 34.177 | Labrus_bergylta |
ENSGAFG00000017593 | NANOS1 | 97 | 74.595 | ENSLBEG00000027516 | - | 98 | 73.514 | Labrus_bergylta |
ENSGAFG00000017593 | NANOS1 | 97 | 58.411 | ENSLBEG00000016559 | - | 94 | 57.009 | Labrus_bergylta |
ENSGAFG00000017593 | NANOS1 | 99 | 55.505 | ENSLACG00000005166 | nanos1 | 97 | 55.505 | Latimeria_chalumnae |
ENSGAFG00000017593 | NANOS1 | 85 | 32.692 | ENSLACG00000014980 | - | 86 | 32.692 | Latimeria_chalumnae |
ENSGAFG00000017593 | NANOS1 | 91 | 42.487 | ENSLACG00000015195 | NANOS1 | 90 | 41.146 | Latimeria_chalumnae |
ENSGAFG00000017593 | NANOS1 | 85 | 39.130 | ENSLOCG00000018243 | NANOS1 | 81 | 40.761 | Lepisosteus_oculatus |
ENSGAFG00000017593 | NANOS1 | 99 | 56.818 | ENSLOCG00000018172 | nanos1 | 97 | 56.818 | Lepisosteus_oculatus |
ENSGAFG00000017593 | NANOS1 | 80 | 36.691 | ENSLAFG00000008480 | NANOS3 | 62 | 36.691 | Loxodonta_africana |
ENSGAFG00000017593 | NANOS1 | 80 | 35.862 | ENSMFAG00000040009 | NANOS3 | 67 | 32.877 | Macaca_fascicularis |
ENSGAFG00000017593 | NANOS1 | 80 | 35.172 | ENSMMUG00000008316 | NANOS3 | 67 | 33.562 | Macaca_mulatta |
ENSGAFG00000017593 | NANOS1 | 80 | 35.862 | ENSMNEG00000028898 | NANOS3 | 67 | 32.877 | Macaca_nemestrina |
ENSGAFG00000017593 | NANOS1 | 80 | 33.333 | ENSMLEG00000033135 | NANOS3 | 67 | 31.757 | Mandrillus_leucophaeus |
ENSGAFG00000017593 | NANOS1 | 95 | 65.909 | ENSMAMG00000015477 | - | 96 | 64.045 | Mastacembelus_armatus |
ENSGAFG00000017593 | NANOS1 | 99 | 64.545 | ENSMAMG00000000110 | - | 93 | 58.371 | Mastacembelus_armatus |
ENSGAFG00000017593 | NANOS1 | 99 | 64.253 | ENSMZEG00005014293 | - | 97 | 58.559 | Maylandia_zebra |
ENSGAFG00000017593 | NANOS1 | 100 | 64.641 | ENSMZEG00005002722 | - | 98 | 63.536 | Maylandia_zebra |
ENSGAFG00000017593 | NANOS1 | 89 | 36.601 | ENSMZEG00005021987 | - | 89 | 36.601 | Maylandia_zebra |
ENSGAFG00000017593 | NANOS1 | 80 | 34.266 | ENSMAUG00000008396 | Nanos3 | 61 | 33.333 | Mesocricetus_auratus |
ENSGAFG00000017593 | NANOS1 | 80 | 33.094 | ENSMICG00000030950 | NANOS3 | 63 | 34.058 | Microcebus_murinus |
ENSGAFG00000017593 | NANOS1 | 53 | 45.055 | ENSMOCG00000001985 | Nanos2 | 69 | 45.055 | Microtus_ochrogaster |
ENSGAFG00000017593 | NANOS1 | 80 | 32.609 | ENSMOCG00000000059 | Nanos3 | 62 | 34.783 | Microtus_ochrogaster |
ENSGAFG00000017593 | NANOS1 | 97 | 69.714 | ENSMMOG00000003796 | - | 95 | 68.571 | Mola_mola |
ENSGAFG00000017593 | NANOS1 | 90 | 32.692 | ENSMMOG00000009827 | nanos2 | 78 | 33.562 | Mola_mola |
ENSGAFG00000017593 | NANOS1 | 80 | 32.609 | ENSMODG00000023964 | - | 80 | 31.884 | Monodelphis_domestica |
ENSGAFG00000017593 | NANOS1 | 81 | 33.571 | ENSMALG00000011545 | - | 60 | 33.571 | Monopterus_albus |
ENSGAFG00000017593 | NANOS1 | 99 | 65.909 | ENSMALG00000002316 | - | 93 | 59.276 | Monopterus_albus |
ENSGAFG00000017593 | NANOS1 | 99 | 59.091 | ENSMALG00000015460 | - | 93 | 57.727 | Monopterus_albus |
ENSGAFG00000017593 | NANOS1 | 83 | 31.690 | ENSMALG00000006299 | nanos2 | 76 | 31.724 | Monopterus_albus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.414 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 61 | 31.884 | Mus_caroli |
ENSGAFG00000017593 | NANOS1 | 80 | 32.414 | ENSMUSG00000056155 | Nanos3 | 63 | 34.058 | Mus_musculus |
ENSGAFG00000017593 | NANOS1 | 91 | 34.591 | ENSMUSG00000051965 | Nanos2 | 96 | 34.591 | Mus_musculus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.414 | MGP_PahariEiJ_G0022902 | Nanos3 | 61 | 31.884 | Mus_pahari |
ENSGAFG00000017593 | NANOS1 | 80 | 32.414 | MGP_SPRETEiJ_G0032414 | Nanos3 | 61 | 31.884 | Mus_spretus |
ENSGAFG00000017593 | NANOS1 | 80 | 34.532 | ENSMPUG00000003282 | NANOS3 | 62 | 34.532 | Mustela_putorius_furo |
ENSGAFG00000017593 | NANOS1 | 80 | 33.566 | ENSMLUG00000012971 | NANOS3 | 63 | 33.566 | Myotis_lucifugus |
ENSGAFG00000017593 | NANOS1 | 83 | 47.020 | ENSNGAG00000023539 | Nanos1 | 72 | 48.299 | Nannospalax_galili |
ENSGAFG00000017593 | NANOS1 | 80 | 34.286 | ENSNGAG00000020486 | Nanos3 | 61 | 34.286 | Nannospalax_galili |
ENSGAFG00000017593 | NANOS1 | 99 | 63.801 | ENSNBRG00000024149 | - | 94 | 59.009 | Neolamprologus_brichardi |
ENSGAFG00000017593 | NANOS1 | 100 | 64.641 | ENSNBRG00000014018 | - | 98 | 63.536 | Neolamprologus_brichardi |
ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | ENSNLEG00000034574 | NANOS3 | 67 | 32.192 | Nomascus_leucogenys |
ENSGAFG00000017593 | NANOS1 | 80 | 33.571 | ENSOPRG00000007211 | - | 65 | 33.571 | Ochotona_princeps |
ENSGAFG00000017593 | NANOS1 | 86 | 30.625 | ENSODEG00000008907 | NANOS3 | 72 | 31.250 | Octodon_degus |
ENSGAFG00000017593 | NANOS1 | 99 | 65.158 | ENSONIG00000021034 | - | 97 | 59.459 | Oreochromis_niloticus |
ENSGAFG00000017593 | NANOS1 | 99 | 57.273 | ENSONIG00000020951 | - | 97 | 55.909 | Oreochromis_niloticus |
ENSGAFG00000017593 | NANOS1 | 81 | 34.507 | ENSOANG00000013042 | - | 82 | 34.507 | Ornithorhynchus_anatinus |
ENSGAFG00000017593 | NANOS1 | 97 | 61.957 | ENSORLG00000027849 | nanos1a | 97 | 60.870 | Oryzias_latipes |
ENSGAFG00000017593 | NANOS1 | 81 | 34.270 | ENSORLG00000012018 | nanos3 | 86 | 34.270 | Oryzias_latipes |
ENSGAFG00000017593 | NANOS1 | 97 | 61.957 | ENSORLG00020008713 | - | 97 | 60.870 | Oryzias_latipes_hni |
ENSGAFG00000017593 | NANOS1 | 99 | 55.963 | ENSORLG00020022492 | nanos1b | 97 | 54.587 | Oryzias_latipes_hni |
ENSGAFG00000017593 | NANOS1 | 81 | 34.270 | ENSORLG00020004967 | nanos3 | 86 | 34.270 | Oryzias_latipes_hni |
ENSGAFG00000017593 | NANOS1 | 84 | 32.192 | ENSORLG00020013284 | nanos2 | 83 | 32.192 | Oryzias_latipes_hni |
ENSGAFG00000017593 | NANOS1 | 81 | 35.632 | ENSORLG00015003631 | nanos3 | 85 | 35.632 | Oryzias_latipes_hsok |
ENSGAFG00000017593 | NANOS1 | 97 | 63.043 | ENSORLG00015000175 | - | 97 | 60.870 | Oryzias_latipes_hsok |
ENSGAFG00000017593 | NANOS1 | 99 | 55.963 | ENSORLG00015021513 | - | 96 | 54.587 | Oryzias_latipes_hsok |
ENSGAFG00000017593 | NANOS1 | 97 | 63.043 | ENSOMEG00000008866 | NANOS1 | 97 | 61.413 | Oryzias_melastigma |
ENSGAFG00000017593 | NANOS1 | 90 | 33.548 | ENSOMEG00000006512 | nanos2 | 91 | 32.258 | Oryzias_melastigma |
ENSGAFG00000017593 | NANOS1 | 81 | 33.143 | ENSOMEG00000000922 | nanos3 | 86 | 32.000 | Oryzias_melastigma |
ENSGAFG00000017593 | NANOS1 | 99 | 57.078 | ENSOMEG00000003107 | - | 94 | 56.164 | Oryzias_melastigma |
ENSGAFG00000017593 | NANOS1 | 80 | 33.813 | ENSOGAG00000007190 | NANOS3 | 62 | 33.333 | Otolemur_garnettii |
ENSGAFG00000017593 | NANOS1 | 80 | 33.094 | ENSOARG00000008043 | NANOS3 | 61 | 33.813 | Ovis_aries |
ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | ENSPPAG00000032168 | NANOS3 | 67 | 32.192 | Pan_paniscus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.192 | ENSPTRG00000010568 | NANOS3 | 67 | 32.192 | Pan_troglodytes |
ENSGAFG00000017593 | NANOS1 | 80 | 32.877 | ENSPANG00000015037 | NANOS3 | 65 | 32.877 | Papio_anubis |
ENSGAFG00000017593 | NANOS1 | 91 | 33.758 | ENSPANG00000009327 | NANOS2 | 55 | 51.316 | Papio_anubis |
ENSGAFG00000017593 | NANOS1 | 96 | 59.716 | ENSPKIG00000000617 | nanos1 | 88 | 58.768 | Paramormyrops_kingsleyae |
ENSGAFG00000017593 | NANOS1 | 99 | 57.273 | ENSPKIG00000019945 | nanos1 | 94 | 57.273 | Paramormyrops_kingsleyae |
ENSGAFG00000017593 | NANOS1 | 90 | 33.121 | ENSPSIG00000007082 | NANOS2 | 94 | 34.839 | Pelodiscus_sinensis |
ENSGAFG00000017593 | NANOS1 | 99 | 52.838 | ENSPMGG00000008267 | - | 64 | 73.874 | Periophthalmus_magnuspinnatus |
ENSGAFG00000017593 | NANOS1 | 94 | 35.542 | ENSPMGG00000023681 | nanos2 | 87 | 34.337 | Periophthalmus_magnuspinnatus |
ENSGAFG00000017593 | NANOS1 | 100 | 74.661 | ENSPFOG00000020008 | - | 100 | 72.851 | Poecilia_formosa |
ENSGAFG00000017593 | NANOS1 | 52 | 81.319 | ENSPFOG00000020533 | - | 99 | 81.319 | Poecilia_formosa |
ENSGAFG00000017593 | NANOS1 | 80 | 33.333 | ENSPLAG00000007786 | NANOS2 | 50 | 53.226 | Poecilia_latipinna |
ENSGAFG00000017593 | NANOS1 | 99 | 58.986 | ENSPLAG00000005060 | - | 93 | 59.447 | Poecilia_latipinna |
ENSGAFG00000017593 | NANOS1 | 100 | 75.113 | ENSPLAG00000022525 | - | 95 | 73.303 | Poecilia_latipinna |
ENSGAFG00000017593 | NANOS1 | 100 | 74.661 | ENSPMEG00000015568 | - | 97 | 72.851 | Poecilia_mexicana |
ENSGAFG00000017593 | NANOS1 | 99 | 58.986 | ENSPMEG00000000521 | - | 93 | 59.447 | Poecilia_mexicana |
ENSGAFG00000017593 | NANOS1 | 99 | 58.986 | ENSPREG00000006901 | - | 93 | 59.447 | Poecilia_reticulata |
ENSGAFG00000017593 | NANOS1 | 100 | 75.566 | ENSPREG00000007213 | NANOS1 | 100 | 73.303 | Poecilia_reticulata |
ENSGAFG00000017593 | NANOS1 | 81 | 31.429 | ENSPREG00000020465 | nanos2 | 53 | 53.226 | Poecilia_reticulata |
ENSGAFG00000017593 | NANOS1 | 80 | 33.562 | ENSPPYG00000009627 | NANOS3 | 68 | 33.562 | Pongo_abelii |
ENSGAFG00000017593 | NANOS1 | 59 | 36.066 | ENSPCAG00000005087 | NANOS2 | 55 | 48.684 | Procavia_capensis |
ENSGAFG00000017593 | NANOS1 | 80 | 33.813 | ENSPCOG00000018814 | NANOS3 | 63 | 33.333 | Propithecus_coquereli |
ENSGAFG00000017593 | NANOS1 | 80 | 33.566 | ENSPVAG00000017538 | NANOS3 | 63 | 34.058 | Pteropus_vampyrus |
ENSGAFG00000017593 | NANOS1 | 100 | 64.641 | ENSPNYG00000001325 | - | 98 | 63.536 | Pundamilia_nyererei |
ENSGAFG00000017593 | NANOS1 | 99 | 63.801 | ENSPNYG00000018230 | - | 94 | 59.009 | Pundamilia_nyererei |
ENSGAFG00000017593 | NANOS1 | 77 | 80.488 | ENSPNAG00000004874 | nanos1 | 94 | 50.909 | Pygocentrus_nattereri |
ENSGAFG00000017593 | NANOS1 | 80 | 35.507 | ENSRNOG00000031593 | Nanos3 | 61 | 35.507 | Rattus_norvegicus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.192 | ENSRBIG00000037377 | NANOS3 | 68 | 32.192 | Rhinopithecus_bieti |
ENSGAFG00000017593 | NANOS1 | 80 | 32.877 | ENSRROG00000032642 | NANOS3 | 68 | 32.877 | Rhinopithecus_roxellana |
ENSGAFG00000017593 | NANOS1 | 80 | 32.394 | ENSSBOG00000020970 | NANOS3 | 65 | 31.206 | Saimiri_boliviensis_boliviensis |
ENSGAFG00000017593 | NANOS1 | 91 | 32.911 | ENSSHAG00000017034 | NANOS2 | 95 | 32.911 | Sarcophilus_harrisii |
ENSGAFG00000017593 | NANOS1 | 81 | 36.170 | ENSSHAG00000012099 | - | 83 | 36.170 | Sarcophilus_harrisii |
ENSGAFG00000017593 | NANOS1 | 80 | 35.252 | ENSSHAG00000010756 | - | 80 | 33.333 | Sarcophilus_harrisii |
ENSGAFG00000017593 | NANOS1 | 95 | 73.832 | ENSSFOG00015009241 | - | 68 | 73.832 | Scleropages_formosus |
ENSGAFG00000017593 | NANOS1 | 99 | 66.818 | ENSSDUG00000003196 | - | 97 | 60.633 | Seriola_dumerili |
ENSGAFG00000017593 | NANOS1 | 95 | 65.909 | ENSSDUG00000007879 | - | 97 | 64.045 | Seriola_dumerili |
ENSGAFG00000017593 | NANOS1 | 99 | 66.364 | ENSSLDG00000009413 | - | 94 | 60.181 | Seriola_lalandi_dorsalis |
ENSGAFG00000017593 | NANOS1 | 95 | 65.909 | ENSSLDG00000021260 | - | 98 | 64.045 | Seriola_lalandi_dorsalis |
ENSGAFG00000017593 | NANOS1 | 80 | 33.571 | ENSSARG00000008966 | NANOS3 | 62 | 32.374 | Sorex_araneus |
ENSGAFG00000017593 | NANOS1 | 99 | 66.364 | ENSSPAG00000014569 | NANOS1 | 97 | 60.000 | Stegastes_partitus |
ENSGAFG00000017593 | NANOS1 | 99 | 58.636 | ENSSPAG00000011053 | - | 93 | 57.273 | Stegastes_partitus |
ENSGAFG00000017593 | NANOS1 | 84 | 34.416 | ENSSPAG00000003887 | nanos2 | 87 | 33.103 | Stegastes_partitus |
ENSGAFG00000017593 | NANOS1 | 80 | 31.884 | ENSSSCG00000013759 | NANOS3 | 63 | 31.884 | Sus_scrofa |
ENSGAFG00000017593 | NANOS1 | 91 | 32.500 | ENSSSCG00000003096 | NANOS2 | 55 | 50.000 | Sus_scrofa |
ENSGAFG00000017593 | NANOS1 | 100 | 65.909 | ENSTRUG00000019839 | - | 100 | 60.455 | Takifugu_rubripes |
ENSGAFG00000017593 | NANOS1 | 99 | 60.455 | ENSTRUG00000021804 | - | 94 | 59.091 | Takifugu_rubripes |
ENSGAFG00000017593 | NANOS1 | 78 | 37.681 | ENSTNIG00000014063 | nanos3 | 84 | 37.226 | Tetraodon_nigroviridis |
ENSGAFG00000017593 | NANOS1 | 91 | 70.513 | ENSTNIG00000010543 | - | 100 | 71.154 | Tetraodon_nigroviridis |
ENSGAFG00000017593 | NANOS1 | 80 | 33.793 | ENSTBEG00000013729 | NANOS3 | 72 | 32.168 | Tupaia_belangeri |
ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | ENSTTRG00000008361 | NANOS3 | 65 | 33.333 | Tursiops_truncatus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | ENSUAMG00000006804 | NANOS3 | 63 | 34.532 | Ursus_americanus |
ENSGAFG00000017593 | NANOS1 | 80 | 32.374 | ENSUMAG00000004703 | NANOS3 | 61 | 34.532 | Ursus_maritimus |
ENSGAFG00000017593 | NANOS1 | 80 | 33.094 | ENSVPAG00000011497 | NANOS3 | 64 | 33.094 | Vicugna_pacos |
ENSGAFG00000017593 | NANOS1 | 88 | 31.707 | ENSVVUG00000026757 | NANOS3 | 79 | 30.909 | Vulpes_vulpes |
ENSGAFG00000017593 | NANOS1 | 79 | 36.496 | ENSXETG00000024565 | nanos1 | 84 | 36.765 | Xenopus_tropicalis |
ENSGAFG00000017593 | NANOS1 | 81 | 34.965 | ENSXETG00000021874 | nanos3 | 83 | 34.965 | Xenopus_tropicalis |
ENSGAFG00000017593 | NANOS1 | 99 | 58.986 | ENSXCOG00000015035 | - | 93 | 59.447 | Xiphophorus_couchianus |
ENSGAFG00000017593 | NANOS1 | 100 | 76.256 | ENSXMAG00000019985 | NANOS1 | 98 | 76.256 | Xiphophorus_maculatus |
ENSGAFG00000017593 | NANOS1 | 79 | 32.867 | ENSXMAG00000020157 | - | 63 | 33.566 | Xiphophorus_maculatus |
ENSGAFG00000017593 | NANOS1 | 99 | 58.986 | ENSXMAG00000024788 | - | 93 | 59.447 | Xiphophorus_maculatus |