Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSACAP00000010062 | zf-nanos | PF05741.13 | 5e-26 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSACAT00000010269 | - | 420 | - | ENSACAP00000010062 | 139 (aa) | - | G1KYW1 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSACAG00000010268 | - | 100 | 90.647 | ENSACAG00000025729 | - | 100 | 90.647 |
ENSACAG00000010268 | - | 100 | 89.928 | ENSACAG00000026334 | - | 100 | 89.928 |
ENSACAG00000010268 | - | 99 | 95.620 | ENSACAG00000026660 | - | 100 | 95.620 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000022675 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000026771 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 100 | 80.420 | ENSACAG00000025556 | - | 100 | 79.720 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000024274 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 96 | 94.030 | ENSACAG00000022321 | - | 98 | 91.791 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000023803 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 90.647 | ENSACAG00000023519 | - | 100 | 90.647 |
ENSACAG00000010268 | - | 96 | 91.791 | ENSACAG00000022207 | - | 98 | 91.791 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000027265 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000024370 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 100 | 89.928 | ENSACAG00000026819 | - | 100 | 87.770 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000027212 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000024972 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000023855 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 96 | 97.761 | ENSACAG00000022861 | - | 99 | 97.761 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000025655 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 96 | 94.030 | ENSACAG00000025632 | - | 98 | 91.791 |
ENSACAG00000010268 | - | 99 | 96.350 | ENSACAG00000027568 | - | 100 | 96.350 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000022041 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000024568 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000026914 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000021948 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 100 | 89.209 | ENSACAG00000026716 | - | 100 | 89.209 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000026679 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 96 | 90.299 | ENSACAG00000024432 | - | 98 | 88.060 |
ENSACAG00000010268 | - | 100 | 90.647 | ENSACAG00000024434 | - | 100 | 90.647 |
ENSACAG00000010268 | - | 96 | 92.537 | ENSACAG00000024003 | - | 98 | 90.299 |
ENSACAG00000010268 | - | 100 | 98.561 | ENSACAG00000023650 | - | 100 | 98.561 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000027728 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 99 | 99.270 | ENSACAG00000022918 | - | 99 | 99.270 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000024639 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 96 | 94.030 | ENSACAG00000028048 | - | 98 | 91.791 |
ENSACAG00000010268 | - | 96 | 88.806 | ENSACAG00000022790 | - | 98 | 86.567 |
ENSACAG00000010268 | - | 100 | 97.842 | ENSACAG00000024218 | - | 100 | 97.842 |
ENSACAG00000010268 | - | 99 | 96.350 | ENSACAG00000025452 | - | 100 | 96.350 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000023428 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000024364 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000023391 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000027440 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 96 | 93.284 | ENSACAG00000023813 | - | 98 | 91.045 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000027196 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000026757 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000025093 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000017474 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000023823 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 100 | 87.050 | ENSACAG00000027983 | - | 100 | 87.050 |
ENSACAG00000010268 | - | 100 | 89.928 | ENSACAG00000022088 | - | 100 | 89.928 |
ENSACAG00000010268 | - | 100 | 87.050 | ENSACAG00000024995 | - | 100 | 87.050 |
ENSACAG00000010268 | - | 100 | 89.928 | ENSACAG00000022322 | - | 100 | 89.928 |
ENSACAG00000010268 | - | 100 | 99.281 | ENSACAG00000026317 | - | 100 | 99.281 |
ENSACAG00000010268 | - | 55 | 50.000 | ENSACAG00000027867 | - | 96 | 50.000 |
ENSACAG00000010268 | - | 99 | 96.350 | ENSACAG00000005197 | - | 100 | 96.350 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000024504 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 100 | 89.209 | ENSACAG00000022236 | - | 100 | 89.209 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000027995 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 98.561 | ENSACAG00000023774 | - | 100 | 98.561 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000025307 | - | 100 | 100.000 |
ENSACAG00000010268 | - | 100 | 89.928 | ENSACAG00000025044 | - | 100 | 89.928 |
ENSACAG00000010268 | - | 96 | 94.030 | ENSACAG00000014502 | - | 98 | 91.791 |
ENSACAG00000010268 | - | 96 | 99.254 | ENSACAG00000025260 | - | 99 | 99.254 |
ENSACAG00000010268 | - | 99 | 96.350 | ENSACAG00000026350 | - | 100 | 96.350 |
ENSACAG00000010268 | - | 99 | 96.350 | ENSACAG00000024524 | - | 100 | 96.350 |
ENSACAG00000010268 | - | 96 | 94.776 | ENSACAG00000025505 | - | 98 | 94.776 |
ENSACAG00000010268 | - | 100 | 100.000 | ENSACAG00000026478 | - | 100 | 100.000 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSACAG00000010268 | - | 95 | 44.526 | ENSG00000187556 | NANOS3 | 76 | 42.857 | Homo_sapiens |
ENSACAG00000010268 | - | 100 | 51.034 | ENSG00000188425 | NANOS2 | 100 | 51.429 | Homo_sapiens |
ENSACAG00000010268 | - | 95 | 44.030 | ENSAMEG00000012972 | NANOS3 | 75 | 44.030 | Ailuropoda_melanoleuca |
ENSACAG00000010268 | - | 94 | 39.695 | ENSACIG00000007105 | nanos2 | 82 | 38.168 | Amphilophus_citrinellus |
ENSACAG00000010268 | - | 83 | 42.400 | ENSAOCG00000009429 | nanos2 | 80 | 42.400 | Amphiprion_ocellaris |
ENSACAG00000010268 | - | 83 | 37.500 | ENSAPEG00000019139 | nanos2 | 81 | 41.538 | Amphiprion_percula |
ENSACAG00000010268 | - | 81 | 38.583 | ENSATEG00000009393 | nanos2 | 78 | 37.008 | Anabas_testudineus |
ENSACAG00000010268 | - | 95 | 41.606 | ENSANAG00000025042 | NANOS3 | 78 | 40.288 | Aotus_nancymaae |
ENSACAG00000010268 | - | 78 | 40.367 | ENSACLG00000027005 | nanos2 | 67 | 36.697 | Astatotilapia_calliptera |
ENSACAG00000010268 | - | 95 | 43.284 | ENSBTAG00000000399 | NANOS3 | 76 | 43.284 | Bos_taurus |
ENSACAG00000010268 | - | 100 | 50.000 | ENSBTAG00000047505 | NANOS2 | 100 | 50.000 | Bos_taurus |
ENSACAG00000010268 | - | 99 | 51.370 | ENSCJAG00000012141 | NANOS2 | 96 | 51.799 | Callithrix_jacchus |
ENSACAG00000010268 | - | 95 | 40.426 | ENSCJAG00000004388 | NANOS3 | 77 | 40.288 | Callithrix_jacchus |
ENSACAG00000010268 | - | 95 | 53.383 | ENSCAFG00000024541 | NANOS2 | 96 | 53.383 | Canis_familiaris |
ENSACAG00000010268 | - | 95 | 43.284 | ENSCAFG00000016592 | NANOS3 | 68 | 43.284 | Canis_familiaris |
ENSACAG00000010268 | - | 95 | 43.284 | ENSCAFG00020006694 | NANOS3 | 68 | 43.284 | Canis_lupus_dingo |
ENSACAG00000010268 | - | 95 | 53.383 | ENSCAFG00020001772 | NANOS2 | 96 | 53.383 | Canis_lupus_dingo |
ENSACAG00000010268 | - | 100 | 50.000 | ENSCHIG00000012637 | NANOS2 | 100 | 50.000 | Capra_hircus |
ENSACAG00000010268 | - | 95 | 43.284 | ENSCHIG00000007837 | NANOS3 | 74 | 41.791 | Capra_hircus |
ENSACAG00000010268 | - | 95 | 43.066 | ENSTSYG00000026709 | NANOS3 | 75 | 43.066 | Carlito_syrichta |
ENSACAG00000010268 | - | 55 | 71.429 | ENSTSYG00000028873 | NANOS2 | 62 | 65.882 | Carlito_syrichta |
ENSACAG00000010268 | - | 94 | 51.128 | ENSCAPG00000016771 | NANOS2 | 95 | 51.908 | Cavia_aperea |
ENSACAG00000010268 | - | 95 | 43.284 | ENSCAPG00000014339 | NANOS3 | 83 | 43.284 | Cavia_aperea |
ENSACAG00000010268 | - | 95 | 42.754 | ENSCPOG00000020727 | NANOS3 | 75 | 42.336 | Cavia_porcellus |
ENSACAG00000010268 | - | 94 | 51.128 | ENSCPOG00000014969 | NANOS2 | 95 | 51.908 | Cavia_porcellus |
ENSACAG00000010268 | - | 95 | 43.284 | ENSCCAG00000036253 | NANOS3 | 75 | 41.606 | Cebus_capucinus |
ENSACAG00000010268 | - | 95 | 38.854 | ENSCATG00000034885 | NANOS3 | 78 | 40.523 | Cercocebus_atys |
ENSACAG00000010268 | - | 100 | 52.027 | ENSCATG00000018951 | NANOS2 | 100 | 50.685 | Cercocebus_atys |
ENSACAG00000010268 | - | 95 | 43.382 | ENSCLAG00000015139 | NANOS3 | 74 | 41.304 | Chinchilla_lanigera |
ENSACAG00000010268 | - | 99 | 51.449 | ENSCLAG00000001832 | NANOS2 | 99 | 50.000 | Chinchilla_lanigera |
ENSACAG00000010268 | - | 100 | 51.351 | ENSCSAG00000019629 | NANOS2 | 100 | 51.064 | Chlorocebus_sabaeus |
ENSACAG00000010268 | - | 95 | 38.217 | ENSCSAG00000006428 | NANOS3 | 79 | 39.103 | Chlorocebus_sabaeus |
ENSACAG00000010268 | - | 95 | 53.333 | ENSCHOG00000001937 | NANOS2 | 96 | 52.632 | Choloepus_hoffmanni |
ENSACAG00000010268 | - | 96 | 54.887 | ENSCPBG00000007141 | NANOS2 | 88 | 54.887 | Chrysemys_picta_bellii |
ENSACAG00000010268 | - | 94 | 45.455 | ENSCPBG00000023819 | NANOS3 | 93 | 45.455 | Chrysemys_picta_bellii |
ENSACAG00000010268 | - | 55 | 51.250 | ENSCPBG00000002172 | NANOS1 | 66 | 51.250 | Chrysemys_picta_bellii |
ENSACAG00000010268 | - | 95 | 42.336 | ENSCANG00000034930 | NANOS3 | 79 | 40.000 | Colobus_angolensis_palliatus |
ENSACAG00000010268 | - | 100 | 51.351 | ENSCANG00000012014 | NANOS2 | 100 | 51.064 | Colobus_angolensis_palliatus |
ENSACAG00000010268 | - | 95 | 42.446 | ENSCGRG00001023851 | Nanos3 | 75 | 43.284 | Cricetulus_griseus_chok1gshd |
ENSACAG00000010268 | - | 100 | 51.079 | ENSCGRG00001013726 | Nanos2 | 100 | 51.079 | Cricetulus_griseus_chok1gshd |
ENSACAG00000010268 | - | 95 | 42.446 | ENSCGRG00000017734 | Nanos3 | 73 | 43.284 | Cricetulus_griseus_crigri |
ENSACAG00000010268 | - | 100 | 51.079 | ENSCGRG00000019170 | Nanos2 | 100 | 51.079 | Cricetulus_griseus_crigri |
ENSACAG00000010268 | - | 86 | 40.580 | ENSCSEG00000017157 | nanos2 | 79 | 41.732 | Cynoglossus_semilaevis |
ENSACAG00000010268 | - | 81 | 44.643 | ENSCVAG00000006947 | nanos2 | 88 | 43.846 | Cyprinodon_variegatus |
ENSACAG00000010268 | - | 78 | 40.336 | ENSDARG00000116802 | nanos2 | 82 | 40.336 | Danio_rerio |
ENSACAG00000010268 | - | 81 | 39.200 | ENSDARG00000068255 | nanos3 | 79 | 39.200 | Danio_rerio |
ENSACAG00000010268 | - | 95 | 51.128 | ENSDNOG00000044718 | NANOS2 | 96 | 51.880 | Dasypus_novemcinctus |
ENSACAG00000010268 | - | 100 | 51.429 | ENSEASG00005014235 | NANOS2 | 100 | 52.143 | Equus_asinus_asinus |
ENSACAG00000010268 | - | 95 | 41.958 | ENSEASG00005015313 | NANOS3 | 78 | 40.559 | Equus_asinus_asinus |
ENSACAG00000010268 | - | 100 | 51.429 | ENSECAG00000006033 | NANOS2 | 100 | 52.143 | Equus_caballus |
ENSACAG00000010268 | - | 95 | 41.958 | ENSECAG00000016293 | NANOS3 | 74 | 40.559 | Equus_caballus |
ENSACAG00000010268 | - | 95 | 51.880 | ENSEEUG00000009930 | NANOS2 | 96 | 51.128 | Erinaceus_europaeus |
ENSACAG00000010268 | - | 95 | 40.411 | ENSEEUG00000009900 | NANOS3 | 87 | 40.411 | Erinaceus_europaeus |
ENSACAG00000010268 | - | 79 | 37.500 | ENSELUG00000016082 | nanos3 | 82 | 37.500 | Esox_lucius |
ENSACAG00000010268 | - | 81 | 35.766 | ENSELUG00000016582 | - | 77 | 35.507 | Esox_lucius |
ENSACAG00000010268 | - | 100 | 52.143 | ENSFCAG00000027661 | NANOS2 | 100 | 52.143 | Felis_catus |
ENSACAG00000010268 | - | 91 | 38.583 | ENSFCAG00000003717 | NANOS3 | 73 | 38.583 | Felis_catus |
ENSACAG00000010268 | - | 95 | 42.029 | ENSFDAG00000018459 | NANOS3 | 74 | 41.606 | Fukomys_damarensis |
ENSACAG00000010268 | - | 99 | 48.551 | ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | Fukomys_damarensis |
ENSACAG00000010268 | - | 58 | 51.852 | ENSFHEG00000020713 | - | 59 | 38.129 | Fundulus_heteroclitus |
ENSACAG00000010268 | - | 97 | 34.815 | ENSFHEG00000005548 | - | 58 | 34.815 | Fundulus_heteroclitus |
ENSACAG00000010268 | - | 89 | 37.600 | ENSFHEG00000012835 | NANOS2 | 85 | 38.739 | Fundulus_heteroclitus |
ENSACAG00000010268 | - | 60 | 48.837 | ENSGMOG00000020465 | nanos1 | 91 | 48.837 | Gadus_morhua |
ENSACAG00000010268 | - | 81 | 41.964 | ENSGMOG00000015980 | - | 96 | 41.739 | Gadus_morhua |
ENSACAG00000010268 | - | 78 | 40.541 | ENSGAFG00000006000 | - | 66 | 38.739 | Gambusia_affinis |
ENSACAG00000010268 | - | 81 | 43.363 | ENSGACG00000004930 | - | 96 | 41.964 | Gasterosteus_aculeatus |
ENSACAG00000010268 | - | 60 | 51.190 | ENSGACG00000016692 | - | 91 | 51.190 | Gasterosteus_aculeatus |
ENSACAG00000010268 | - | 55 | 50.000 | ENSGAGG00000015730 | NANOS1 | 50 | 48.276 | Gopherus_agassizii |
ENSACAG00000010268 | - | 94 | 46.269 | ENSGAGG00000005591 | - | 73 | 45.802 | Gopherus_agassizii |
ENSACAG00000010268 | - | 91 | 54.331 | ENSGAGG00000009500 | NANOS2 | 77 | 55.118 | Gopherus_agassizii |
ENSACAG00000010268 | - | 100 | 52.027 | ENSGGOG00000013447 | NANOS2 | 100 | 51.773 | Gorilla_gorilla |
ENSACAG00000010268 | - | 95 | 39.744 | ENSGGOG00000000964 | NANOS3 | 79 | 39.744 | Gorilla_gorilla |
ENSACAG00000010268 | - | 78 | 37.209 | ENSHBUG00000016772 | nanos2 | 78 | 36.434 | Haplochromis_burtoni |
ENSACAG00000010268 | - | 95 | 42.963 | ENSHGLG00000019378 | NANOS3 | 71 | 41.045 | Heterocephalus_glaber_female |
ENSACAG00000010268 | - | 95 | 42.963 | ENSHGLG00100012652 | NANOS3 | 71 | 41.045 | Heterocephalus_glaber_male |
ENSACAG00000010268 | - | 94 | 33.333 | ENSHCOG00000014790 | nanos3 | 78 | 35.965 | Hippocampus_comes |
ENSACAG00000010268 | - | 91 | 39.437 | ENSIPUG00000024113 | nanos2 | 88 | 38.732 | Ictalurus_punctatus |
ENSACAG00000010268 | - | 81 | 39.167 | ENSIPUG00000012246 | - | 66 | 39.167 | Ictalurus_punctatus |
ENSACAG00000010268 | - | 81 | 39.844 | ENSIPUG00000007200 | - | 76 | 39.344 | Ictalurus_punctatus |
ENSACAG00000010268 | - | 95 | 43.704 | ENSSTOG00000024797 | NANOS3 | 73 | 43.704 | Ictidomys_tridecemlineatus |
ENSACAG00000010268 | - | 100 | 51.079 | ENSSTOG00000021724 | NANOS2 | 100 | 51.799 | Ictidomys_tridecemlineatus |
ENSACAG00000010268 | - | 95 | 43.609 | ENSJJAG00000000545 | Nanos3 | 73 | 43.704 | Jaculus_jaculus |
ENSACAG00000010268 | - | 60 | 50.000 | ENSKMAG00000008477 | - | 58 | 38.406 | Kryptolebias_marmoratus |
ENSACAG00000010268 | - | 84 | 39.695 | ENSLBEG00000018836 | nanos2 | 87 | 38.931 | Labrus_bergylta |
ENSACAG00000010268 | - | 98 | 38.000 | ENSLACG00000013286 | NANOS3 | 97 | 38.889 | Latimeria_chalumnae |
ENSACAG00000010268 | - | 100 | 51.049 | ENSLAFG00000014090 | NANOS2 | 100 | 51.389 | Loxodonta_africana |
ENSACAG00000010268 | - | 95 | 41.176 | ENSLAFG00000008480 | NANOS3 | 73 | 41.007 | Loxodonta_africana |
ENSACAG00000010268 | - | 100 | 51.351 | ENSMFAG00000017215 | NANOS2 | 100 | 51.064 | Macaca_fascicularis |
ENSACAG00000010268 | - | 95 | 40.667 | ENSMFAG00000040009 | NANOS3 | 78 | 40.000 | Macaca_fascicularis |
ENSACAG00000010268 | - | 100 | 51.351 | ENSMMUG00000008103 | NANOS2 | 100 | 51.064 | Macaca_mulatta |
ENSACAG00000010268 | - | 95 | 41.060 | ENSMMUG00000008316 | NANOS3 | 78 | 41.060 | Macaca_mulatta |
ENSACAG00000010268 | - | 95 | 40.667 | ENSMNEG00000028898 | NANOS3 | 78 | 40.000 | Macaca_nemestrina |
ENSACAG00000010268 | - | 100 | 51.351 | ENSMNEG00000004633 | NANOS2 | 100 | 51.064 | Macaca_nemestrina |
ENSACAG00000010268 | - | 100 | 52.027 | ENSMLEG00000001810 | NANOS2 | 100 | 50.685 | Mandrillus_leucophaeus |
ENSACAG00000010268 | - | 95 | 41.353 | ENSMLEG00000033135 | NANOS3 | 78 | 40.132 | Mandrillus_leucophaeus |
ENSACAG00000010268 | - | 83 | 37.190 | ENSMAMG00000005577 | NANOS2 | 80 | 37.190 | Mastacembelus_armatus |
ENSACAG00000010268 | - | 78 | 37.209 | ENSMZEG00005003043 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000010268 | - | 78 | 36.434 | ENSMZEG00005028148 | - | 78 | 35.659 | Maylandia_zebra |
ENSACAG00000010268 | - | 78 | 37.209 | ENSMZEG00005028154 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000010268 | - | 78 | 38.760 | ENSMZEG00005021987 | - | 78 | 35.659 | Maylandia_zebra |
ENSACAG00000010268 | - | 78 | 36.434 | ENSMZEG00005024641 | - | 78 | 35.659 | Maylandia_zebra |
ENSACAG00000010268 | - | 95 | 43.284 | ENSMAUG00000008396 | Nanos3 | 73 | 44.030 | Mesocricetus_auratus |
ENSACAG00000010268 | - | 95 | 42.537 | ENSMICG00000030950 | NANOS3 | 75 | 42.537 | Microcebus_murinus |
ENSACAG00000010268 | - | 95 | 44.030 | ENSMOCG00000000059 | Nanos3 | 73 | 43.284 | Microtus_ochrogaster |
ENSACAG00000010268 | - | 100 | 49.640 | ENSMOCG00000001985 | Nanos2 | 100 | 49.640 | Microtus_ochrogaster |
ENSACAG00000010268 | - | 83 | 38.983 | ENSMMOG00000009827 | nanos2 | 78 | 38.983 | Mola_mola |
ENSACAG00000010268 | - | 94 | 43.182 | ENSMODG00000023964 | - | 95 | 45.455 | Monodelphis_domestica |
ENSACAG00000010268 | - | 88 | 45.968 | ENSMALG00000006299 | nanos2 | 79 | 45.968 | Monopterus_albus |
ENSACAG00000010268 | - | 90 | 38.571 | ENSMALG00000005945 | nanos3 | 85 | 38.571 | Monopterus_albus |
ENSACAG00000010268 | - | 80 | 38.739 | ENSMALG00000011545 | - | 58 | 40.000 | Monopterus_albus |
ENSACAG00000010268 | - | 100 | 52.113 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 52.113 | Mus_caroli |
ENSACAG00000010268 | - | 95 | 45.522 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 44.776 | Mus_caroli |
ENSACAG00000010268 | - | 95 | 45.522 | ENSMUSG00000056155 | Nanos3 | 75 | 44.776 | Mus_musculus |
ENSACAG00000010268 | - | 100 | 51.799 | ENSMUSG00000051965 | Nanos2 | 100 | 51.799 | Mus_musculus |
ENSACAG00000010268 | - | 95 | 45.522 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 44.776 | Mus_pahari |
ENSACAG00000010268 | - | 100 | 49.296 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 49.296 | Mus_pahari |
ENSACAG00000010268 | - | 100 | 51.408 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 51.408 | Mus_spretus |
ENSACAG00000010268 | - | 95 | 45.522 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 44.776 | Mus_spretus |
ENSACAG00000010268 | - | 95 | 44.030 | ENSMPUG00000003282 | NANOS3 | 73 | 44.030 | Mustela_putorius_furo |
ENSACAG00000010268 | - | 100 | 52.143 | ENSMPUG00000019371 | NANOS2 | 100 | 52.143 | Mustela_putorius_furo |
ENSACAG00000010268 | - | 95 | 43.284 | ENSMLUG00000012971 | NANOS3 | 75 | 43.284 | Myotis_lucifugus |
ENSACAG00000010268 | - | 95 | 45.113 | ENSNGAG00000020486 | Nanos3 | 73 | 44.361 | Nannospalax_galili |
ENSACAG00000010268 | - | 83 | 38.793 | ENSNBRG00000018838 | NANOS2 | 55 | 53.731 | Neolamprologus_brichardi |
ENSACAG00000010268 | - | 95 | 43.066 | ENSNLEG00000034574 | NANOS3 | 78 | 40.667 | Nomascus_leucogenys |
ENSACAG00000010268 | - | 95 | 40.940 | ENSOPRG00000007211 | - | 75 | 40.940 | Ochotona_princeps |
ENSACAG00000010268 | - | 97 | 49.306 | ENSOPRG00000010043 | NANOS2 | 99 | 49.306 | Ochotona_princeps |
ENSACAG00000010268 | - | 95 | 44.030 | ENSODEG00000008907 | NANOS3 | 71 | 44.030 | Octodon_degus |
ENSACAG00000010268 | - | 78 | 37.209 | ENSONIG00000005777 | nanos2 | 78 | 36.434 | Oreochromis_niloticus |
ENSACAG00000010268 | - | 94 | 43.478 | ENSOANG00000013042 | - | 95 | 43.478 | Ornithorhynchus_anatinus |
ENSACAG00000010268 | - | 55 | 50.000 | ENSOANG00000004407 | - | 64 | 38.393 | Ornithorhynchus_anatinus |
ENSACAG00000010268 | - | 95 | 43.066 | ENSOCUG00000014802 | NANOS3 | 77 | 43.066 | Oryctolagus_cuniculus |
ENSACAG00000010268 | - | 97 | 48.936 | ENSOCUG00000023755 | NANOS2 | 99 | 51.064 | Oryctolagus_cuniculus |
ENSACAG00000010268 | - | 81 | 39.669 | ENSORLG00000009335 | nanos2 | 78 | 39.669 | Oryzias_latipes |
ENSACAG00000010268 | - | 81 | 40.496 | ENSORLG00020013284 | nanos2 | 78 | 40.496 | Oryzias_latipes_hni |
ENSACAG00000010268 | - | 81 | 39.669 | ENSORLG00015013150 | nanos2 | 78 | 41.322 | Oryzias_latipes_hsok |
ENSACAG00000010268 | - | 78 | 40.678 | ENSOMEG00000006512 | nanos2 | 77 | 44.262 | Oryzias_melastigma |
ENSACAG00000010268 | - | 95 | 43.284 | ENSOGAG00000007190 | NANOS3 | 74 | 43.284 | Otolemur_garnettii |
ENSACAG00000010268 | - | 100 | 50.694 | ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | Otolemur_garnettii |
ENSACAG00000010268 | - | 100 | 50.000 | ENSOARG00000011467 | NANOS2 | 100 | 50.000 | Ovis_aries |
ENSACAG00000010268 | - | 93 | 41.429 | ENSOARG00000008043 | NANOS3 | 71 | 41.985 | Ovis_aries |
ENSACAG00000010268 | - | 100 | 51.034 | ENSPPAG00000020568 | NANOS2 | 100 | 51.429 | Pan_paniscus |
ENSACAG00000010268 | - | 95 | 44.526 | ENSPPAG00000032168 | NANOS3 | 76 | 42.857 | Pan_paniscus |
ENSACAG00000010268 | - | 95 | 43.284 | ENSPPRG00000009573 | NANOS3 | 75 | 43.284 | Panthera_pardus |
ENSACAG00000010268 | - | 100 | 52.143 | ENSPPRG00000015211 | NANOS2 | 100 | 52.143 | Panthera_pardus |
ENSACAG00000010268 | - | 95 | 43.284 | ENSPTIG00000000325 | NANOS3 | 75 | 43.284 | Panthera_tigris_altaica |
ENSACAG00000010268 | - | 91 | 49.606 | ENSPTIG00000015372 | NANOS2 | 90 | 49.606 | Panthera_tigris_altaica |
ENSACAG00000010268 | - | 95 | 40.667 | ENSPTRG00000010568 | NANOS3 | 78 | 40.667 | Pan_troglodytes |
ENSACAG00000010268 | - | 100 | 51.034 | ENSPTRG00000011172 | NANOS2 | 100 | 51.429 | Pan_troglodytes |
ENSACAG00000010268 | - | 95 | 40.397 | ENSPANG00000015037 | NANOS3 | 76 | 40.000 | Papio_anubis |
ENSACAG00000010268 | - | 100 | 51.351 | ENSPANG00000009327 | NANOS2 | 100 | 51.064 | Papio_anubis |
ENSACAG00000010268 | - | 78 | 35.000 | ENSPKIG00000006934 | - | 82 | 37.190 | Paramormyrops_kingsleyae |
ENSACAG00000010268 | - | 91 | 38.281 | ENSPKIG00000006905 | - | 55 | 39.474 | Paramormyrops_kingsleyae |
ENSACAG00000010268 | - | 79 | 34.307 | ENSPKIG00000009354 | nanos3 | 70 | 34.307 | Paramormyrops_kingsleyae |
ENSACAG00000010268 | - | 56 | 50.617 | ENSPSIG00000000407 | - | 99 | 50.617 | Pelodiscus_sinensis |
ENSACAG00000010268 | - | 96 | 54.887 | ENSPSIG00000007082 | NANOS2 | 97 | 54.887 | Pelodiscus_sinensis |
ENSACAG00000010268 | - | 84 | 43.182 | ENSPMGG00000023681 | nanos2 | 74 | 43.750 | Periophthalmus_magnuspinnatus |
ENSACAG00000010268 | - | 100 | 49.660 | ENSPEMG00000014999 | Nanos2 | 100 | 48.299 | Peromyscus_maniculatus_bairdii |
ENSACAG00000010268 | - | 60 | 50.000 | ENSPFOG00000020533 | - | 91 | 50.000 | Poecilia_formosa |
ENSACAG00000010268 | - | 84 | 41.880 | ENSPLAG00000007786 | NANOS2 | 86 | 41.880 | Poecilia_latipinna |
ENSACAG00000010268 | - | 86 | 40.000 | ENSPMEG00000005681 | NANOS2 | 87 | 40.000 | Poecilia_mexicana |
ENSACAG00000010268 | - | 84 | 41.880 | ENSPREG00000020465 | nanos2 | 86 | 39.316 | Poecilia_reticulata |
ENSACAG00000010268 | - | 95 | 39.744 | ENSPPYG00000009627 | NANOS3 | 78 | 39.744 | Pongo_abelii |
ENSACAG00000010268 | - | 100 | 51.351 | ENSPPYG00000010138 | NANOS2 | 100 | 51.064 | Pongo_abelii |
ENSACAG00000010268 | - | 100 | 52.143 | ENSPCAG00000005087 | NANOS2 | 100 | 52.143 | Procavia_capensis |
ENSACAG00000010268 | - | 95 | 42.537 | ENSPCOG00000018814 | NANOS3 | 75 | 42.537 | Propithecus_coquereli |
ENSACAG00000010268 | - | 100 | 50.714 | ENSPVAG00000001363 | NANOS2 | 100 | 50.714 | Pteropus_vampyrus |
ENSACAG00000010268 | - | 95 | 41.176 | ENSPVAG00000017538 | NANOS3 | 75 | 41.727 | Pteropus_vampyrus |
ENSACAG00000010268 | - | 78 | 41.284 | ENSPNYG00000004545 | NANOS2 | 76 | 37.615 | Pundamilia_nyererei |
ENSACAG00000010268 | - | 94 | 43.182 | ENSPNAG00000002259 | nanos3 | 90 | 35.714 | Pygocentrus_nattereri |
ENSACAG00000010268 | - | 100 | 52.518 | ENSRNOG00000038088 | Nanos2 | 99 | 49.655 | Rattus_norvegicus |
ENSACAG00000010268 | - | 95 | 44.776 | ENSRNOG00000031593 | Nanos3 | 73 | 44.776 | Rattus_norvegicus |
ENSACAG00000010268 | - | 95 | 40.000 | ENSRBIG00000037377 | NANOS3 | 79 | 39.333 | Rhinopithecus_bieti |
ENSACAG00000010268 | - | 100 | 51.351 | ENSRBIG00000023726 | NANOS2 | 100 | 51.064 | Rhinopithecus_bieti |
ENSACAG00000010268 | - | 100 | 51.034 | ENSRROG00000014903 | NANOS2 | 100 | 51.064 | Rhinopithecus_roxellana |
ENSACAG00000010268 | - | 95 | 40.000 | ENSRROG00000032642 | NANOS3 | 79 | 40.000 | Rhinopithecus_roxellana |
ENSACAG00000010268 | - | 95 | 41.135 | ENSSBOG00000020970 | NANOS3 | 76 | 41.727 | Saimiri_boliviensis_boliviensis |
ENSACAG00000010268 | - | 93 | 43.846 | ENSSHAG00000010756 | - | 95 | 39.716 | Sarcophilus_harrisii |
ENSACAG00000010268 | - | 93 | 40.000 | ENSSHAG00000012099 | - | 94 | 39.286 | Sarcophilus_harrisii |
ENSACAG00000010268 | - | 97 | 50.370 | ENSSHAG00000017034 | NANOS2 | 98 | 50.370 | Sarcophilus_harrisii |
ENSACAG00000010268 | - | 79 | 40.769 | ENSSFOG00015013452 | nanos3 | 86 | 40.769 | Scleropages_formosus |
ENSACAG00000010268 | - | 81 | 40.179 | ENSSFOG00015007586 | - | 78 | 39.286 | Scleropages_formosus |
ENSACAG00000010268 | - | 83 | 34.783 | ENSSMAG00000013915 | nanos2 | 81 | 37.500 | Scophthalmus_maximus |
ENSACAG00000010268 | - | 95 | 45.185 | ENSSARG00000008966 | NANOS3 | 73 | 44.030 | Sorex_araneus |
ENSACAG00000010268 | - | 94 | 45.802 | ENSSPUG00000009826 | NANOS3 | 67 | 45.802 | Sphenodon_punctatus |
ENSACAG00000010268 | - | 100 | 55.862 | ENSSPUG00000002566 | NANOS2 | 100 | 55.862 | Sphenodon_punctatus |
ENSACAG00000010268 | - | 95 | 44.030 | ENSSSCG00000013759 | NANOS3 | 75 | 44.030 | Sus_scrofa |
ENSACAG00000010268 | - | 100 | 51.389 | ENSSSCG00000003096 | NANOS2 | 100 | 52.143 | Sus_scrofa |
ENSACAG00000010268 | - | 86 | 40.496 | ENSTRUG00000017633 | nanos2 | 89 | 38.843 | Takifugu_rubripes |
ENSACAG00000010268 | - | 80 | 46.281 | ENSTNIG00000014063 | nanos3 | 84 | 47.059 | Tetraodon_nigroviridis |
ENSACAG00000010268 | - | 81 | 40.678 | ENSTNIG00000010543 | - | 87 | 38.462 | Tetraodon_nigroviridis |
ENSACAG00000010268 | - | 95 | 44.030 | ENSTBEG00000013729 | NANOS3 | 86 | 44.030 | Tupaia_belangeri |
ENSACAG00000010268 | - | 95 | 42.963 | ENSTTRG00000008361 | NANOS3 | 78 | 42.963 | Tursiops_truncatus |
ENSACAG00000010268 | - | 98 | 52.555 | ENSTTRG00000014315 | NANOS2 | 98 | 52.899 | Tursiops_truncatus |
ENSACAG00000010268 | - | 100 | 52.857 | ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | Ursus_americanus |
ENSACAG00000010268 | - | 95 | 44.030 | ENSUAMG00000006804 | NANOS3 | 75 | 44.030 | Ursus_americanus |
ENSACAG00000010268 | - | 81 | 47.368 | ENSUMAG00000023699 | NANOS2 | 73 | 47.368 | Ursus_maritimus |
ENSACAG00000010268 | - | 95 | 44.030 | ENSUMAG00000004703 | NANOS3 | 73 | 44.030 | Ursus_maritimus |
ENSACAG00000010268 | - | 95 | 44.030 | ENSVPAG00000011497 | NANOS3 | 76 | 44.030 | Vicugna_pacos |
ENSACAG00000010268 | - | 95 | 43.284 | ENSVVUG00000026757 | NANOS3 | 76 | 43.284 | Vulpes_vulpes |
ENSACAG00000010268 | - | 95 | 52.632 | ENSVVUG00000002993 | NANOS2 | 96 | 52.632 | Vulpes_vulpes |
ENSACAG00000010268 | - | 96 | 43.262 | ENSXETG00000014552 | NANOS2 | 98 | 42.754 | Xenopus_tropicalis |
ENSACAG00000010268 | - | 79 | 39.091 | ENSXETG00000024565 | nanos1 | 84 | 39.091 | Xenopus_tropicalis |
ENSACAG00000010268 | - | 95 | 39.161 | ENSXETG00000021874 | nanos3 | 97 | 39.161 | Xenopus_tropicalis |
ENSACAG00000010268 | - | 77 | 41.525 | ENSXCOG00000015035 | - | 51 | 41.525 | Xiphophorus_couchianus |
ENSACAG00000010268 | - | 77 | 41.525 | ENSXMAG00000024788 | - | 51 | 41.525 | Xiphophorus_maculatus |