Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSACAP00000020886 | zf-nanos | PF05741.13 | 1.3e-24 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSACAT00000022452 | - | 396 | - | ENSACAP00000020886 | 131 (aa) | - | G1KYG5 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000027440 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 90.299 | ENSACAG00000023774 | - | 96 | 92.537 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000021948 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000024972 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 100 | 93.182 | ENSACAG00000023813 | - | 100 | 93.182 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000023823 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000023428 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000026478 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.729 | ENSACAG00000025729 | - | 96 | 91.729 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000027995 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 89.552 | ENSACAG00000024218 | - | 96 | 91.791 |
ENSACAG00000028048 | - | 59 | 48.718 | ENSACAG00000027867 | - | 96 | 48.718 |
ENSACAG00000028048 | - | 100 | 91.176 | ENSACAG00000022861 | - | 100 | 93.382 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000010268 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.473 | ENSACAG00000022322 | - | 96 | 91.473 |
ENSACAG00000028048 | - | 100 | 94.656 | ENSACAG00000024432 | - | 100 | 94.656 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000024639 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 97 | 92.424 | ENSACAG00000005197 | - | 96 | 94.697 |
ENSACAG00000028048 | - | 97 | 92.424 | ENSACAG00000026350 | - | 96 | 94.697 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000025093 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000024568 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000023391 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000026914 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000023855 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000017474 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000027212 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 89.147 | ENSACAG00000027983 | - | 96 | 89.147 |
ENSACAG00000028048 | - | 100 | 98.473 | ENSACAG00000024003 | - | 100 | 98.473 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000022918 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000024364 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000022675 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 100 | 94.697 | ENSACAG00000025505 | - | 100 | 94.697 |
ENSACAG00000028048 | - | 98 | 90.698 | ENSACAG00000022088 | - | 96 | 90.698 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000024370 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 91.473 | ENSACAG00000026334 | - | 96 | 91.473 |
ENSACAG00000028048 | - | 100 | 94.656 | ENSACAG00000022790 | - | 100 | 94.656 |
ENSACAG00000028048 | - | 98 | 91.729 | ENSACAG00000024434 | - | 96 | 91.729 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000027728 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 97 | 91.667 | ENSACAG00000026660 | - | 96 | 93.939 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000026771 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000022041 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 97 | 92.424 | ENSACAG00000025452 | - | 96 | 94.697 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000026317 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000025260 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 88.722 | ENSACAG00000022236 | - | 96 | 89.147 |
ENSACAG00000028048 | - | 98 | 93.798 | ENSACAG00000023519 | - | 96 | 91.473 |
ENSACAG00000028048 | - | 98 | 93.284 | ENSACAG00000023650 | - | 96 | 95.522 |
ENSACAG00000028048 | - | 98 | 76.812 | ENSACAG00000025556 | - | 97 | 76.812 |
ENSACAG00000028048 | - | 98 | 91.045 | ENSACAG00000026679 | - | 96 | 93.284 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000024504 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 89.922 | ENSACAG00000025044 | - | 96 | 89.922 |
ENSACAG00000028048 | - | 98 | 87.597 | ENSACAG00000024995 | - | 96 | 87.597 |
ENSACAG00000028048 | - | 100 | 96.183 | ENSACAG00000022207 | - | 100 | 96.183 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000025655 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 100 | 100.000 | ENSACAG00000014502 | - | 100 | 100.000 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000025307 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000027196 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 93.023 | ENSACAG00000026819 | - | 96 | 90.698 |
ENSACAG00000028048 | - | 97 | 92.424 | ENSACAG00000027568 | - | 96 | 94.697 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000027265 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 100 | 100.000 | ENSACAG00000022321 | - | 100 | 100.000 |
ENSACAG00000028048 | - | 98 | 89.922 | ENSACAG00000026716 | - | 96 | 89.922 |
ENSACAG00000028048 | - | 100 | 100.000 | ENSACAG00000025632 | - | 100 | 100.000 |
ENSACAG00000028048 | - | 97 | 92.424 | ENSACAG00000024524 | - | 96 | 94.697 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000023803 | - | 96 | 94.030 |
ENSACAG00000028048 | - | 100 | 92.647 | ENSACAG00000026757 | - | 100 | 94.853 |
ENSACAG00000028048 | - | 98 | 91.791 | ENSACAG00000024274 | - | 96 | 94.030 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSACAG00000028048 | - | 97 | 53.383 | ENSG00000188425 | NANOS2 | 96 | 53.383 | Homo_sapiens |
ENSACAG00000028048 | - | 97 | 44.697 | ENSG00000187556 | NANOS3 | 76 | 44.697 | Homo_sapiens |
ENSACAG00000028048 | - | 83 | 36.090 | ENSAPOG00000020274 | nanos2 | 80 | 36.090 | Acanthochromis_polyacanthus |
ENSACAG00000028048 | - | 97 | 43.846 | ENSAMEG00000012972 | NANOS3 | 75 | 43.846 | Ailuropoda_melanoleuca |
ENSACAG00000028048 | - | 96 | 40.157 | ENSACIG00000007105 | nanos2 | 82 | 38.462 | Amphilophus_citrinellus |
ENSACAG00000028048 | - | 85 | 43.200 | ENSAOCG00000009429 | nanos2 | 80 | 36.585 | Amphiprion_ocellaris |
ENSACAG00000028048 | - | 85 | 35.938 | ENSAPEG00000019139 | nanos2 | 81 | 36.719 | Amphiprion_percula |
ENSACAG00000028048 | - | 82 | 37.302 | ENSATEG00000009393 | nanos2 | 78 | 38.095 | Anabas_testudineus |
ENSACAG00000028048 | - | 97 | 43.750 | ENSANAG00000025042 | NANOS3 | 78 | 41.727 | Aotus_nancymaae |
ENSACAG00000028048 | - | 79 | 43.269 | ENSACLG00000027005 | nanos2 | 67 | 38.462 | Astatotilapia_calliptera |
ENSACAG00000028048 | - | 97 | 43.478 | ENSBTAG00000000399 | NANOS3 | 76 | 42.029 | Bos_taurus |
ENSACAG00000028048 | - | 97 | 51.880 | ENSBTAG00000047505 | NANOS2 | 96 | 52.555 | Bos_taurus |
ENSACAG00000028048 | - | 97 | 51.471 | ENSCJAG00000012141 | NANOS2 | 94 | 51.880 | Callithrix_jacchus |
ENSACAG00000028048 | - | 97 | 39.568 | ENSCJAG00000004388 | NANOS3 | 77 | 40.288 | Callithrix_jacchus |
ENSACAG00000028048 | - | 97 | 53.333 | ENSCAFG00000024541 | NANOS2 | 96 | 52.632 | Canis_familiaris |
ENSACAG00000028048 | - | 97 | 45.385 | ENSCAFG00000016592 | NANOS3 | 68 | 43.939 | Canis_familiaris |
ENSACAG00000028048 | - | 97 | 53.333 | ENSCAFG00020001772 | NANOS2 | 96 | 52.632 | Canis_lupus_dingo |
ENSACAG00000028048 | - | 97 | 45.385 | ENSCAFG00020006694 | NANOS3 | 68 | 43.939 | Canis_lupus_dingo |
ENSACAG00000028048 | - | 97 | 42.754 | ENSCHIG00000007837 | NANOS3 | 74 | 42.537 | Capra_hircus |
ENSACAG00000028048 | - | 97 | 51.880 | ENSCHIG00000012637 | NANOS2 | 96 | 52.555 | Capra_hircus |
ENSACAG00000028048 | - | 59 | 70.130 | ENSTSYG00000028873 | NANOS2 | 62 | 64.706 | Carlito_syrichta |
ENSACAG00000028048 | - | 97 | 42.105 | ENSTSYG00000026709 | NANOS3 | 75 | 43.609 | Carlito_syrichta |
ENSACAG00000028048 | - | 97 | 45.802 | ENSCAPG00000014339 | NANOS3 | 83 | 44.030 | Cavia_aperea |
ENSACAG00000028048 | - | 96 | 53.175 | ENSCAPG00000016771 | NANOS2 | 95 | 53.125 | Cavia_aperea |
ENSACAG00000028048 | - | 97 | 44.030 | ENSCPOG00000020727 | NANOS3 | 75 | 43.284 | Cavia_porcellus |
ENSACAG00000028048 | - | 96 | 53.175 | ENSCPOG00000014969 | NANOS2 | 95 | 53.125 | Cavia_porcellus |
ENSACAG00000028048 | - | 97 | 43.182 | ENSCCAG00000036253 | NANOS3 | 75 | 43.182 | Cebus_capucinus |
ENSACAG00000028048 | - | 97 | 40.260 | ENSCATG00000034885 | NANOS3 | 78 | 39.869 | Cercocebus_atys |
ENSACAG00000028048 | - | 97 | 52.632 | ENSCATG00000018951 | NANOS2 | 96 | 52.632 | Cercocebus_atys |
ENSACAG00000028048 | - | 97 | 44.444 | ENSCLAG00000015139 | NANOS3 | 74 | 43.284 | Chinchilla_lanigera |
ENSACAG00000028048 | - | 96 | 53.125 | ENSCLAG00000001832 | NANOS2 | 95 | 51.587 | Chinchilla_lanigera |
ENSACAG00000028048 | - | 97 | 52.632 | ENSCSAG00000019629 | NANOS2 | 96 | 52.632 | Chlorocebus_sabaeus |
ENSACAG00000028048 | - | 97 | 38.854 | ENSCSAG00000006428 | NANOS3 | 79 | 37.821 | Chlorocebus_sabaeus |
ENSACAG00000028048 | - | 97 | 54.135 | ENSCHOG00000001937 | NANOS2 | 96 | 54.135 | Choloepus_hoffmanni |
ENSACAG00000028048 | - | 98 | 54.015 | ENSCPBG00000007141 | NANOS2 | 88 | 53.788 | Chrysemys_picta_bellii |
ENSACAG00000028048 | - | 98 | 45.926 | ENSCPBG00000023819 | NANOS3 | 95 | 45.926 | Chrysemys_picta_bellii |
ENSACAG00000028048 | - | 59 | 50.000 | ENSCPBG00000002172 | NANOS1 | 66 | 50.000 | Chrysemys_picta_bellii |
ENSACAG00000028048 | - | 97 | 44.697 | ENSCANG00000034930 | NANOS3 | 76 | 44.697 | Colobus_angolensis_palliatus |
ENSACAG00000028048 | - | 97 | 52.632 | ENSCANG00000012014 | NANOS2 | 96 | 52.632 | Colobus_angolensis_palliatus |
ENSACAG00000028048 | - | 97 | 44.697 | ENSCGRG00001023851 | Nanos3 | 75 | 44.697 | Cricetulus_griseus_chok1gshd |
ENSACAG00000028048 | - | 97 | 52.756 | ENSCGRG00001013726 | Nanos2 | 96 | 52.756 | Cricetulus_griseus_chok1gshd |
ENSACAG00000028048 | - | 97 | 44.697 | ENSCGRG00000017734 | Nanos3 | 73 | 44.697 | Cricetulus_griseus_crigri |
ENSACAG00000028048 | - | 97 | 52.756 | ENSCGRG00000019170 | Nanos2 | 96 | 52.756 | Cricetulus_griseus_crigri |
ENSACAG00000028048 | - | 82 | 40.625 | ENSCSEG00000017157 | nanos2 | 79 | 40.625 | Cynoglossus_semilaevis |
ENSACAG00000028048 | - | 79 | 47.619 | ENSCVAG00000006947 | nanos2 | 87 | 45.600 | Cyprinodon_variegatus |
ENSACAG00000028048 | - | 82 | 39.200 | ENSDARG00000068255 | nanos3 | 79 | 39.200 | Danio_rerio |
ENSACAG00000028048 | - | 79 | 42.017 | ENSDARG00000116802 | nanos2 | 82 | 42.017 | Danio_rerio |
ENSACAG00000028048 | - | 97 | 51.880 | ENSDNOG00000044718 | NANOS2 | 96 | 51.880 | Dasypus_novemcinctus |
ENSACAG00000028048 | - | 97 | 42.754 | ENSEASG00005015313 | NANOS3 | 78 | 41.304 | Equus_asinus_asinus |
ENSACAG00000028048 | - | 97 | 52.985 | ENSEASG00005014235 | NANOS2 | 96 | 52.555 | Equus_asinus_asinus |
ENSACAG00000028048 | - | 97 | 52.985 | ENSECAG00000006033 | NANOS2 | 96 | 52.555 | Equus_caballus |
ENSACAG00000028048 | - | 97 | 42.754 | ENSECAG00000016293 | NANOS3 | 74 | 41.304 | Equus_caballus |
ENSACAG00000028048 | - | 97 | 41.096 | ENSEEUG00000009900 | NANOS3 | 87 | 42.466 | Erinaceus_europaeus |
ENSACAG00000028048 | - | 97 | 51.880 | ENSEEUG00000009930 | NANOS2 | 96 | 51.880 | Erinaceus_europaeus |
ENSACAG00000028048 | - | 82 | 37.226 | ENSELUG00000016582 | - | 77 | 37.226 | Esox_lucius |
ENSACAG00000028048 | - | 80 | 36.765 | ENSELUG00000016082 | nanos3 | 82 | 36.765 | Esox_lucius |
ENSACAG00000028048 | - | 86 | 39.669 | ENSELUG00000019091 | - | 82 | 38.136 | Esox_lucius |
ENSACAG00000028048 | - | 97 | 53.383 | ENSFCAG00000027661 | NANOS2 | 96 | 53.383 | Felis_catus |
ENSACAG00000028048 | - | 93 | 38.400 | ENSFCAG00000003717 | NANOS3 | 73 | 37.500 | Felis_catus |
ENSACAG00000028048 | - | 96 | 51.181 | ENSFDAG00000016342 | NANOS2 | 95 | 49.606 | Fukomys_damarensis |
ENSACAG00000028048 | - | 97 | 43.284 | ENSFDAG00000018459 | NANOS3 | 74 | 43.284 | Fukomys_damarensis |
ENSACAG00000028048 | - | 91 | 35.772 | ENSFHEG00000012835 | NANOS2 | 85 | 40.000 | Fundulus_heteroclitus |
ENSACAG00000028048 | - | 61 | 49.398 | ENSGMOG00000020465 | nanos1 | 88 | 49.398 | Gadus_morhua |
ENSACAG00000028048 | - | 82 | 41.441 | ENSGMOG00000015980 | - | 96 | 41.818 | Gadus_morhua |
ENSACAG00000028048 | - | 79 | 40.187 | ENSGAFG00000006000 | - | 68 | 39.640 | Gambusia_affinis |
ENSACAG00000028048 | - | 82 | 41.964 | ENSGACG00000004930 | - | 96 | 41.818 | Gasterosteus_aculeatus |
ENSACAG00000028048 | - | 90 | 36.232 | ENSGACG00000019003 | nanos3 | 88 | 36.232 | Gasterosteus_aculeatus |
ENSACAG00000028048 | - | 61 | 51.852 | ENSGACG00000016692 | - | 88 | 51.852 | Gasterosteus_aculeatus |
ENSACAG00000028048 | - | 95 | 46.565 | ENSGAGG00000005591 | - | 73 | 46.565 | Gopherus_agassizii |
ENSACAG00000028048 | - | 59 | 48.750 | ENSGAGG00000015730 | NANOS1 | 51 | 46.591 | Gopherus_agassizii |
ENSACAG00000028048 | - | 94 | 56.098 | ENSGAGG00000009500 | NANOS2 | 77 | 55.285 | Gopherus_agassizii |
ENSACAG00000028048 | - | 97 | 36.538 | ENSGGOG00000000964 | NANOS3 | 79 | 36.538 | Gorilla_gorilla |
ENSACAG00000028048 | - | 97 | 53.383 | ENSGGOG00000013447 | NANOS2 | 96 | 53.383 | Gorilla_gorilla |
ENSACAG00000028048 | - | 79 | 37.209 | ENSHBUG00000016772 | nanos2 | 78 | 36.434 | Haplochromis_burtoni |
ENSACAG00000028048 | - | 97 | 42.963 | ENSHGLG00000019378 | NANOS3 | 71 | 42.963 | Heterocephalus_glaber_female |
ENSACAG00000028048 | - | 97 | 42.963 | ENSHGLG00100012652 | NANOS3 | 71 | 42.963 | Heterocephalus_glaber_male |
ENSACAG00000028048 | - | 95 | 32.653 | ENSHCOG00000014790 | nanos3 | 78 | 37.391 | Hippocampus_comes |
ENSACAG00000028048 | - | 82 | 42.276 | ENSIPUG00000012246 | - | 66 | 41.667 | Ictalurus_punctatus |
ENSACAG00000028048 | - | 92 | 39.437 | ENSIPUG00000024113 | nanos2 | 87 | 39.437 | Ictalurus_punctatus |
ENSACAG00000028048 | - | 82 | 40.000 | ENSIPUG00000007200 | - | 76 | 39.344 | Ictalurus_punctatus |
ENSACAG00000028048 | - | 97 | 53.435 | ENSSTOG00000021724 | NANOS2 | 96 | 51.908 | Ictidomys_tridecemlineatus |
ENSACAG00000028048 | - | 97 | 44.697 | ENSSTOG00000024797 | NANOS3 | 73 | 45.038 | Ictidomys_tridecemlineatus |
ENSACAG00000028048 | - | 97 | 44.697 | ENSJJAG00000000545 | Nanos3 | 73 | 42.748 | Jaculus_jaculus |
ENSACAG00000028048 | - | 85 | 40.909 | ENSLBEG00000018836 | nanos2 | 87 | 38.168 | Labrus_bergylta |
ENSACAG00000028048 | - | 99 | 36.879 | ENSLACG00000013286 | NANOS3 | 97 | 36.879 | Latimeria_chalumnae |
ENSACAG00000028048 | - | 93 | 44.937 | ENSLACG00000014980 | - | 90 | 44.304 | Latimeria_chalumnae |
ENSACAG00000028048 | - | 97 | 41.667 | ENSLAFG00000008480 | NANOS3 | 73 | 41.667 | Loxodonta_africana |
ENSACAG00000028048 | - | 97 | 51.079 | ENSLAFG00000014090 | NANOS2 | 96 | 51.471 | Loxodonta_africana |
ENSACAG00000028048 | - | 97 | 41.060 | ENSMFAG00000040009 | NANOS3 | 78 | 38.000 | Macaca_fascicularis |
ENSACAG00000028048 | - | 97 | 52.206 | ENSMFAG00000017215 | NANOS2 | 96 | 52.632 | Macaca_fascicularis |
ENSACAG00000028048 | - | 97 | 52.206 | ENSMMUG00000008103 | NANOS2 | 96 | 52.632 | Macaca_mulatta |
ENSACAG00000028048 | - | 97 | 40.397 | ENSMMUG00000008316 | NANOS3 | 78 | 40.397 | Macaca_mulatta |
ENSACAG00000028048 | - | 97 | 52.206 | ENSMNEG00000004633 | NANOS2 | 96 | 52.632 | Macaca_nemestrina |
ENSACAG00000028048 | - | 97 | 41.060 | ENSMNEG00000028898 | NANOS3 | 78 | 38.000 | Macaca_nemestrina |
ENSACAG00000028048 | - | 97 | 42.105 | ENSMLEG00000033135 | NANOS3 | 75 | 44.361 | Mandrillus_leucophaeus |
ENSACAG00000028048 | - | 97 | 52.632 | ENSMLEG00000001810 | NANOS2 | 96 | 52.632 | Mandrillus_leucophaeus |
ENSACAG00000028048 | - | 86 | 38.211 | ENSMAMG00000005577 | NANOS2 | 81 | 38.211 | Mastacembelus_armatus |
ENSACAG00000028048 | - | 79 | 36.434 | ENSMZEG00005021987 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000028048 | - | 79 | 37.209 | ENSMZEG00005028154 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000028048 | - | 79 | 37.209 | ENSMZEG00005003043 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000028048 | - | 79 | 36.434 | ENSMZEG00005028148 | - | 78 | 35.659 | Maylandia_zebra |
ENSACAG00000028048 | - | 79 | 36.434 | ENSMZEG00005024641 | - | 78 | 35.659 | Maylandia_zebra |
ENSACAG00000028048 | - | 97 | 44.776 | ENSMAUG00000008396 | Nanos3 | 73 | 44.697 | Mesocricetus_auratus |
ENSACAG00000028048 | - | 97 | 43.284 | ENSMICG00000030950 | NANOS3 | 75 | 43.182 | Microcebus_murinus |
ENSACAG00000028048 | - | 97 | 44.615 | ENSMOCG00000000059 | Nanos3 | 73 | 44.615 | Microtus_ochrogaster |
ENSACAG00000028048 | - | 97 | 51.969 | ENSMOCG00000001985 | Nanos2 | 96 | 51.969 | Microtus_ochrogaster |
ENSACAG00000028048 | - | 84 | 40.678 | ENSMMOG00000009827 | nanos2 | 78 | 37.607 | Mola_mola |
ENSACAG00000028048 | - | 95 | 45.669 | ENSMODG00000023964 | - | 95 | 45.669 | Monodelphis_domestica |
ENSACAG00000028048 | - | 81 | 39.623 | ENSMALG00000011545 | - | 58 | 39.623 | Monopterus_albus |
ENSACAG00000028048 | - | 88 | 38.060 | ENSMALG00000005945 | nanos3 | 82 | 38.060 | Monopterus_albus |
ENSACAG00000028048 | - | 86 | 46.903 | ENSMALG00000006299 | nanos2 | 75 | 46.018 | Monopterus_albus |
ENSACAG00000028048 | - | 97 | 51.852 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 51.852 | Mus_caroli |
ENSACAG00000028048 | - | 97 | 47.015 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 46.154 | Mus_caroli |
ENSACAG00000028048 | - | 97 | 51.111 | ENSMUSG00000051965 | Nanos2 | 96 | 51.111 | Mus_musculus |
ENSACAG00000028048 | - | 97 | 47.015 | ENSMUSG00000056155 | Nanos3 | 75 | 46.154 | Mus_musculus |
ENSACAG00000028048 | - | 97 | 47.015 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 46.154 | Mus_pahari |
ENSACAG00000028048 | - | 97 | 48.889 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 48.889 | Mus_pahari |
ENSACAG00000028048 | - | 97 | 47.015 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 46.154 | Mus_spretus |
ENSACAG00000028048 | - | 97 | 51.111 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 51.111 | Mus_spretus |
ENSACAG00000028048 | - | 97 | 51.880 | ENSMPUG00000019371 | NANOS2 | 96 | 51.880 | Mustela_putorius_furo |
ENSACAG00000028048 | - | 97 | 43.939 | ENSMPUG00000003282 | NANOS3 | 73 | 44.030 | Mustela_putorius_furo |
ENSACAG00000028048 | - | 97 | 42.029 | ENSMLUG00000012971 | NANOS3 | 75 | 43.182 | Myotis_lucifugus |
ENSACAG00000028048 | - | 97 | 46.923 | ENSNGAG00000020486 | Nanos3 | 73 | 46.923 | Nannospalax_galili |
ENSACAG00000028048 | - | 85 | 41.441 | ENSNBRG00000018838 | NANOS2 | 70 | 36.937 | Neolamprologus_brichardi |
ENSACAG00000028048 | - | 97 | 44.697 | ENSNLEG00000034574 | NANOS3 | 75 | 44.697 | Nomascus_leucogenys |
ENSACAG00000028048 | - | 97 | 40.000 | ENSOPRG00000007211 | - | 75 | 38.926 | Ochotona_princeps |
ENSACAG00000028048 | - | 97 | 48.905 | ENSOPRG00000010043 | NANOS2 | 96 | 48.905 | Ochotona_princeps |
ENSACAG00000028048 | - | 97 | 45.385 | ENSODEG00000008907 | NANOS3 | 71 | 45.113 | Octodon_degus |
ENSACAG00000028048 | - | 79 | 37.209 | ENSONIG00000005777 | nanos2 | 78 | 36.434 | Oreochromis_niloticus |
ENSACAG00000028048 | - | 96 | 43.704 | ENSOANG00000013042 | - | 96 | 41.481 | Ornithorhynchus_anatinus |
ENSACAG00000028048 | - | 97 | 41.606 | ENSOCUG00000014802 | NANOS3 | 77 | 43.066 | Oryctolagus_cuniculus |
ENSACAG00000028048 | - | 97 | 49.635 | ENSOCUG00000023755 | NANOS2 | 96 | 50.370 | Oryctolagus_cuniculus |
ENSACAG00000028048 | - | 82 | 40.496 | ENSORLG00000009335 | nanos2 | 78 | 39.669 | Oryzias_latipes |
ENSACAG00000028048 | - | 82 | 40.496 | ENSORLG00020013284 | nanos2 | 78 | 39.669 | Oryzias_latipes_hni |
ENSACAG00000028048 | - | 82 | 40.496 | ENSORLG00015013150 | nanos2 | 78 | 39.669 | Oryzias_latipes_hsok |
ENSACAG00000028048 | - | 79 | 42.373 | ENSOMEG00000006512 | nanos2 | 77 | 38.983 | Oryzias_melastigma |
ENSACAG00000028048 | - | 97 | 51.880 | ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | Otolemur_garnettii |
ENSACAG00000028048 | - | 97 | 44.615 | ENSOGAG00000007190 | NANOS3 | 74 | 43.284 | Otolemur_garnettii |
ENSACAG00000028048 | - | 52 | 52.055 | ENSOARG00000000575 | - | 58 | 52.778 | Ovis_aries |
ENSACAG00000028048 | - | 97 | 51.880 | ENSOARG00000011467 | NANOS2 | 96 | 52.555 | Ovis_aries |
ENSACAG00000028048 | - | 95 | 43.704 | ENSOARG00000008043 | NANOS3 | 71 | 42.222 | Ovis_aries |
ENSACAG00000028048 | - | 97 | 53.383 | ENSPPAG00000020568 | NANOS2 | 96 | 53.383 | Pan_paniscus |
ENSACAG00000028048 | - | 97 | 44.697 | ENSPPAG00000032168 | NANOS3 | 76 | 44.697 | Pan_paniscus |
ENSACAG00000028048 | - | 97 | 53.383 | ENSPPRG00000015211 | NANOS2 | 96 | 53.383 | Panthera_pardus |
ENSACAG00000028048 | - | 97 | 43.511 | ENSPPRG00000009573 | NANOS3 | 75 | 42.537 | Panthera_pardus |
ENSACAG00000028048 | - | 97 | 43.511 | ENSPTIG00000000325 | NANOS3 | 75 | 42.537 | Panthera_tigris_altaica |
ENSACAG00000028048 | - | 87 | 50.833 | ENSPTIG00000015372 | NANOS2 | 88 | 49.593 | Panthera_tigris_altaica |
ENSACAG00000028048 | - | 97 | 38.000 | ENSPTRG00000010568 | NANOS3 | 78 | 38.000 | Pan_troglodytes |
ENSACAG00000028048 | - | 97 | 53.383 | ENSPTRG00000011172 | NANOS2 | 96 | 53.383 | Pan_troglodytes |
ENSACAG00000028048 | - | 97 | 41.060 | ENSPANG00000015037 | NANOS3 | 76 | 38.000 | Papio_anubis |
ENSACAG00000028048 | - | 97 | 52.206 | ENSPANG00000009327 | NANOS2 | 96 | 52.632 | Papio_anubis |
ENSACAG00000028048 | - | 85 | 39.831 | ENSPKIG00000006905 | - | 57 | 41.176 | Paramormyrops_kingsleyae |
ENSACAG00000028048 | - | 79 | 34.167 | ENSPKIG00000006934 | - | 82 | 40.000 | Paramormyrops_kingsleyae |
ENSACAG00000028048 | - | 60 | 49.383 | ENSPSIG00000000407 | - | 99 | 49.383 | Pelodiscus_sinensis |
ENSACAG00000028048 | - | 100 | 54.198 | ENSPSIG00000007082 | NANOS2 | 99 | 54.198 | Pelodiscus_sinensis |
ENSACAG00000028048 | - | 89 | 42.188 | ENSPMGG00000023681 | nanos2 | 76 | 42.188 | Periophthalmus_magnuspinnatus |
ENSACAG00000028048 | - | 97 | 51.852 | ENSPEMG00000014999 | Nanos2 | 96 | 51.111 | Peromyscus_maniculatus_bairdii |
ENSACAG00000028048 | - | 88 | 33.333 | ENSPFOG00000020721 | NANOS2 | 87 | 34.722 | Poecilia_formosa |
ENSACAG00000028048 | - | 63 | 48.810 | ENSPFOG00000020533 | - | 91 | 48.810 | Poecilia_formosa |
ENSACAG00000028048 | - | 85 | 41.071 | ENSPLAG00000007786 | NANOS2 | 86 | 40.179 | Poecilia_latipinna |
ENSACAG00000028048 | - | 88 | 39.130 | ENSPMEG00000005681 | NANOS2 | 87 | 39.130 | Poecilia_mexicana |
ENSACAG00000028048 | - | 85 | 41.071 | ENSPREG00000020465 | nanos2 | 86 | 39.286 | Poecilia_reticulata |
ENSACAG00000028048 | - | 97 | 39.103 | ENSPPYG00000009627 | NANOS3 | 78 | 38.462 | Pongo_abelii |
ENSACAG00000028048 | - | 97 | 52.632 | ENSPPYG00000010138 | NANOS2 | 96 | 52.632 | Pongo_abelii |
ENSACAG00000028048 | - | 97 | 52.985 | ENSPCAG00000005087 | NANOS2 | 96 | 50.365 | Procavia_capensis |
ENSACAG00000028048 | - | 97 | 43.077 | ENSPCOG00000018814 | NANOS3 | 75 | 43.284 | Propithecus_coquereli |
ENSACAG00000028048 | - | 97 | 51.880 | ENSPVAG00000001363 | NANOS2 | 96 | 51.880 | Pteropus_vampyrus |
ENSACAG00000028048 | - | 97 | 41.667 | ENSPVAG00000017538 | NANOS3 | 75 | 42.424 | Pteropus_vampyrus |
ENSACAG00000028048 | - | 79 | 43.269 | ENSPNYG00000004545 | NANOS2 | 76 | 39.423 | Pundamilia_nyererei |
ENSACAG00000028048 | - | 95 | 45.669 | ENSPNAG00000002259 | nanos3 | 78 | 46.032 | Pygocentrus_nattereri |
ENSACAG00000028048 | - | 97 | 51.111 | ENSRNOG00000038088 | Nanos2 | 96 | 51.111 | Rattus_norvegicus |
ENSACAG00000028048 | - | 97 | 46.269 | ENSRNOG00000031593 | Nanos3 | 73 | 45.385 | Rattus_norvegicus |
ENSACAG00000028048 | - | 97 | 40.667 | ENSRBIG00000037377 | NANOS3 | 79 | 38.667 | Rhinopithecus_bieti |
ENSACAG00000028048 | - | 97 | 52.632 | ENSRBIG00000023726 | NANOS2 | 96 | 52.632 | Rhinopithecus_bieti |
ENSACAG00000028048 | - | 97 | 40.397 | ENSRROG00000032642 | NANOS3 | 79 | 40.397 | Rhinopithecus_roxellana |
ENSACAG00000028048 | - | 97 | 52.632 | ENSRROG00000014903 | NANOS2 | 96 | 52.632 | Rhinopithecus_roxellana |
ENSACAG00000028048 | - | 97 | 40.288 | ENSSBOG00000020970 | NANOS3 | 76 | 41.007 | Saimiri_boliviensis_boliviensis |
ENSACAG00000028048 | - | 95 | 44.094 | ENSSHAG00000012099 | - | 94 | 41.600 | Sarcophilus_harrisii |
ENSACAG00000028048 | - | 95 | 44.882 | ENSSHAG00000010756 | - | 95 | 44.531 | Sarcophilus_harrisii |
ENSACAG00000028048 | - | 97 | 50.725 | ENSSHAG00000017034 | NANOS2 | 96 | 50.758 | Sarcophilus_harrisii |
ENSACAG00000028048 | - | 80 | 40.000 | ENSSFOG00015013452 | nanos3 | 86 | 40.000 | Scleropages_formosus |
ENSACAG00000028048 | - | 82 | 42.056 | ENSSFOG00015007586 | - | 78 | 41.121 | Scleropages_formosus |
ENSACAG00000028048 | - | 85 | 33.088 | ENSSMAG00000013915 | nanos2 | 81 | 35.294 | Scophthalmus_maximus |
ENSACAG00000028048 | - | 97 | 33.113 | ENSSDUG00000016576 | nanos2 | 85 | 33.775 | Seriola_dumerili |
ENSACAG00000028048 | - | 97 | 46.923 | ENSSARG00000008966 | NANOS3 | 73 | 46.923 | Sorex_araneus |
ENSACAG00000028048 | - | 98 | 55.147 | ENSSPUG00000002566 | NANOS2 | 94 | 55.147 | Sphenodon_punctatus |
ENSACAG00000028048 | - | 95 | 46.825 | ENSSPUG00000009826 | NANOS3 | 67 | 46.825 | Sphenodon_punctatus |
ENSACAG00000028048 | - | 82 | 39.844 | ENSSPAG00000003887 | nanos2 | 83 | 39.844 | Stegastes_partitus |
ENSACAG00000028048 | - | 97 | 52.555 | ENSSSCG00000003096 | NANOS2 | 96 | 52.632 | Sus_scrofa |
ENSACAG00000028048 | - | 97 | 44.203 | ENSSSCG00000013759 | NANOS3 | 75 | 43.284 | Sus_scrofa |
ENSACAG00000028048 | - | 85 | 42.982 | ENSTRUG00000017633 | nanos2 | 90 | 40.171 | Takifugu_rubripes |
ENSACAG00000028048 | - | 79 | 47.899 | ENSTNIG00000014063 | nanos3 | 84 | 47.899 | Tetraodon_nigroviridis |
ENSACAG00000028048 | - | 82 | 40.496 | ENSTNIG00000010543 | - | 87 | 40.517 | Tetraodon_nigroviridis |
ENSACAG00000028048 | - | 97 | 44.615 | ENSTBEG00000013729 | NANOS3 | 86 | 43.939 | Tupaia_belangeri |
ENSACAG00000028048 | - | 97 | 43.511 | ENSTTRG00000008361 | NANOS3 | 78 | 43.182 | Tursiops_truncatus |
ENSACAG00000028048 | - | 97 | 52.632 | ENSTTRG00000014315 | NANOS2 | 96 | 53.383 | Tursiops_truncatus |
ENSACAG00000028048 | - | 97 | 52.632 | ENSUAMG00000023170 | NANOS2 | 96 | 52.632 | Ursus_americanus |
ENSACAG00000028048 | - | 97 | 44.615 | ENSUAMG00000006804 | NANOS3 | 75 | 43.939 | Ursus_americanus |
ENSACAG00000028048 | - | 97 | 44.615 | ENSUMAG00000004703 | NANOS3 | 73 | 43.939 | Ursus_maritimus |
ENSACAG00000028048 | - | 77 | 46.729 | ENSUMAG00000023699 | NANOS2 | 70 | 46.729 | Ursus_maritimus |
ENSACAG00000028048 | - | 97 | 42.754 | ENSVPAG00000011497 | NANOS3 | 76 | 43.182 | Vicugna_pacos |
ENSACAG00000028048 | - | 97 | 44.615 | ENSVVUG00000026757 | NANOS3 | 76 | 43.939 | Vulpes_vulpes |
ENSACAG00000028048 | - | 97 | 52.555 | ENSVVUG00000002993 | NANOS2 | 96 | 51.880 | Vulpes_vulpes |
ENSACAG00000028048 | - | 98 | 44.203 | ENSXETG00000014552 | NANOS2 | 98 | 43.478 | Xenopus_tropicalis |
ENSACAG00000028048 | - | 80 | 39.815 | ENSXETG00000024565 | nanos1 | 84 | 40.741 | Xenopus_tropicalis |
ENSACAG00000028048 | - | 97 | 37.063 | ENSXETG00000021874 | nanos3 | 97 | 39.161 | Xenopus_tropicalis |
ENSACAG00000028048 | - | 82 | 33.333 | ENSXMAG00000020157 | - | 64 | 33.333 | Xiphophorus_maculatus |