Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSACAP00000018356 | zf-nanos | PF05741.13 | 2.4e-25 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSACAT00000023732 | - | 393 | - | ENSACAP00000018356 | 130 (aa) | - | G1KV92 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000027728 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000027265 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000023823 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 100 | 86.331 | ENSACAG00000024218 | - | 100 | 88.489 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000026771 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000027995 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 86.567 | ENSACAG00000022861 | - | 99 | 88.806 |
ENSACAG00000023519 | - | 96 | 97.600 | ENSACAG00000022207 | - | 98 | 97.600 |
ENSACAG00000023519 | - | 98 | 85.401 | ENSACAG00000026660 | - | 100 | 87.591 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000025093 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000027212 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 98 | 86.131 | ENSACAG00000026350 | - | 100 | 88.321 |
ENSACAG00000023519 | - | 96 | 93.077 | ENSACAG00000025505 | - | 98 | 93.077 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000021948 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 96 | 89.922 | ENSACAG00000024003 | - | 98 | 92.248 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000024364 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 98 | 86.131 | ENSACAG00000024524 | - | 100 | 88.321 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000027196 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000025260 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 100 | 90.909 | ENSACAG00000026716 | - | 100 | 90.909 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000022041 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 91.473 | ENSACAG00000025632 | - | 98 | 93.798 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000026914 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000023855 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000022675 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 98 | 86.131 | ENSACAG00000027568 | - | 100 | 88.321 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000024568 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 98 | 86.131 | ENSACAG00000005197 | - | 100 | 88.321 |
ENSACAG00000023519 | - | 96 | 91.473 | ENSACAG00000014502 | - | 98 | 93.798 |
ENSACAG00000023519 | - | 100 | 89.394 | ENSACAG00000025044 | - | 100 | 89.394 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000026317 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 96 | 91.473 | ENSACAG00000028048 | - | 98 | 93.798 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000023650 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000024274 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000024504 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 98 | 86.131 | ENSACAG00000025452 | - | 100 | 88.321 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000025655 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000010268 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 90.152 | ENSACAG00000025729 | - | 100 | 90.152 |
ENSACAG00000023519 | - | 96 | 86.047 | ENSACAG00000022790 | - | 98 | 88.372 |
ENSACAG00000023519 | - | 100 | 89.394 | ENSACAG00000026334 | - | 100 | 89.394 |
ENSACAG00000023519 | - | 59 | 50.000 | ENSACAG00000027867 | - | 96 | 50.000 |
ENSACAG00000023519 | - | 96 | 91.538 | ENSACAG00000023813 | - | 98 | 91.538 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000017474 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000027440 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000026757 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000025307 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 97.600 | ENSACAG00000024432 | - | 98 | 97.600 |
ENSACAG00000023519 | - | 100 | 88.636 | ENSACAG00000024995 | - | 100 | 88.636 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000023803 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000023391 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 100 | 87.050 | ENSACAG00000023774 | - | 100 | 89.209 |
ENSACAG00000023519 | - | 100 | 77.622 | ENSACAG00000025556 | - | 100 | 77.622 |
ENSACAG00000023519 | - | 100 | 90.152 | ENSACAG00000027983 | - | 100 | 90.152 |
ENSACAG00000023519 | - | 100 | 87.770 | ENSACAG00000026679 | - | 100 | 89.928 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000024972 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 96 | 88.060 | ENSACAG00000024370 | - | 99 | 90.299 |
ENSACAG00000023519 | - | 100 | 96.154 | ENSACAG00000026819 | - | 100 | 96.154 |
ENSACAG00000023519 | - | 98 | 90.511 | ENSACAG00000022918 | - | 99 | 90.511 |
ENSACAG00000023519 | - | 100 | 91.667 | ENSACAG00000022088 | - | 100 | 91.667 |
ENSACAG00000023519 | - | 96 | 91.473 | ENSACAG00000022321 | - | 98 | 93.798 |
ENSACAG00000023519 | - | 100 | 89.394 | ENSACAG00000022322 | - | 100 | 89.394 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000023428 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000024639 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 86.957 | ENSACAG00000022236 | - | 100 | 89.394 |
ENSACAG00000023519 | - | 100 | 90.647 | ENSACAG00000026478 | - | 100 | 90.647 |
ENSACAG00000023519 | - | 100 | 90.152 | ENSACAG00000024434 | - | 100 | 90.152 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSACAG00000023519 | - | 100 | 52.857 | ENSG00000188425 | NANOS2 | 100 | 52.857 | Homo_sapiens |
ENSACAG00000023519 | - | 95 | 44.697 | ENSG00000187556 | NANOS3 | 76 | 44.853 | Homo_sapiens |
ENSACAG00000023519 | - | 81 | 36.842 | ENSAPOG00000020274 | nanos2 | 80 | 36.842 | Acanthochromis_polyacanthus |
ENSACAG00000023519 | - | 95 | 44.615 | ENSAMEG00000012972 | NANOS3 | 75 | 44.615 | Ailuropoda_melanoleuca |
ENSACAG00000023519 | - | 94 | 42.276 | ENSACIG00000007105 | nanos2 | 82 | 42.276 | Amphilophus_citrinellus |
ENSACAG00000023519 | - | 82 | 39.837 | ENSAOCG00000009429 | nanos2 | 80 | 39.837 | Amphiprion_ocellaris |
ENSACAG00000023519 | - | 82 | 38.281 | ENSAPEG00000019139 | nanos2 | 81 | 39.844 | Amphiprion_percula |
ENSACAG00000023519 | - | 79 | 39.683 | ENSATEG00000009393 | nanos2 | 78 | 37.302 | Anabas_testudineus |
ENSACAG00000023519 | - | 95 | 46.875 | ENSANAG00000025042 | NANOS3 | 76 | 46.875 | Aotus_nancymaae |
ENSACAG00000023519 | - | 75 | 47.475 | ENSACLG00000013474 | - | 52 | 47.475 | Astatotilapia_calliptera |
ENSACAG00000023519 | - | 77 | 42.000 | ENSACLG00000027005 | nanos2 | 67 | 42.000 | Astatotilapia_calliptera |
ENSACAG00000023519 | - | 82 | 35.556 | ENSAMXG00000042358 | nanos2 | 80 | 35.556 | Astyanax_mexicanus |
ENSACAG00000023519 | - | 100 | 52.143 | ENSBTAG00000047505 | NANOS2 | 100 | 52.778 | Bos_taurus |
ENSACAG00000023519 | - | 95 | 43.939 | ENSBTAG00000000399 | NANOS3 | 76 | 43.939 | Bos_taurus |
ENSACAG00000023519 | - | 98 | 52.174 | ENSCJAG00000012141 | NANOS2 | 96 | 52.174 | Callithrix_jacchus |
ENSACAG00000023519 | - | 95 | 43.165 | ENSCJAG00000004388 | NANOS3 | 77 | 42.446 | Callithrix_jacchus |
ENSACAG00000023519 | - | 95 | 55.639 | ENSCAFG00000024541 | NANOS2 | 96 | 55.639 | Canis_familiaris |
ENSACAG00000023519 | - | 95 | 45.385 | ENSCAFG00000016592 | NANOS3 | 68 | 47.692 | Canis_familiaris |
ENSACAG00000023519 | - | 95 | 45.385 | ENSCAFG00020006694 | NANOS3 | 68 | 47.692 | Canis_lupus_dingo |
ENSACAG00000023519 | - | 95 | 55.639 | ENSCAFG00020001772 | NANOS2 | 96 | 55.639 | Canis_lupus_dingo |
ENSACAG00000023519 | - | 100 | 52.143 | ENSCHIG00000012637 | NANOS2 | 100 | 52.778 | Capra_hircus |
ENSACAG00000023519 | - | 95 | 46.154 | ENSCHIG00000007837 | NANOS3 | 74 | 46.154 | Capra_hircus |
ENSACAG00000023519 | - | 59 | 70.130 | ENSTSYG00000028873 | NANOS2 | 62 | 65.169 | Carlito_syrichta |
ENSACAG00000023519 | - | 95 | 44.776 | ENSTSYG00000026709 | NANOS3 | 75 | 44.776 | Carlito_syrichta |
ENSACAG00000023519 | - | 95 | 45.385 | ENSCAPG00000014339 | NANOS3 | 83 | 46.923 | Cavia_aperea |
ENSACAG00000023519 | - | 94 | 56.452 | ENSCAPG00000016771 | NANOS2 | 95 | 56.452 | Cavia_aperea |
ENSACAG00000023519 | - | 94 | 56.452 | ENSCPOG00000014969 | NANOS2 | 95 | 56.452 | Cavia_porcellus |
ENSACAG00000023519 | - | 95 | 46.269 | ENSCPOG00000020727 | NANOS3 | 75 | 46.269 | Cavia_porcellus |
ENSACAG00000023519 | - | 95 | 42.424 | ENSCCAG00000036253 | NANOS3 | 75 | 44.697 | Cebus_capucinus |
ENSACAG00000023519 | - | 95 | 39.216 | ENSCATG00000034885 | NANOS3 | 78 | 40.523 | Cercocebus_atys |
ENSACAG00000023519 | - | 100 | 52.143 | ENSCATG00000018951 | NANOS2 | 100 | 52.143 | Cercocebus_atys |
ENSACAG00000023519 | - | 95 | 45.522 | ENSCLAG00000015139 | NANOS3 | 74 | 45.522 | Chinchilla_lanigera |
ENSACAG00000023519 | - | 99 | 52.593 | ENSCLAG00000001832 | NANOS2 | 99 | 52.593 | Chinchilla_lanigera |
ENSACAG00000023519 | - | 95 | 39.490 | ENSCSAG00000006428 | NANOS3 | 79 | 39.241 | Chlorocebus_sabaeus |
ENSACAG00000023519 | - | 100 | 52.143 | ENSCSAG00000019629 | NANOS2 | 100 | 52.143 | Chlorocebus_sabaeus |
ENSACAG00000023519 | - | 95 | 53.333 | ENSCHOG00000001937 | NANOS2 | 96 | 53.383 | Choloepus_hoffmanni |
ENSACAG00000023519 | - | 94 | 46.212 | ENSCPBG00000023819 | NANOS3 | 93 | 46.212 | Chrysemys_picta_bellii |
ENSACAG00000023519 | - | 59 | 51.250 | ENSCPBG00000002172 | NANOS1 | 66 | 51.250 | Chrysemys_picta_bellii |
ENSACAG00000023519 | - | 95 | 55.474 | ENSCPBG00000007141 | NANOS2 | 88 | 55.474 | Chrysemys_picta_bellii |
ENSACAG00000023519 | - | 100 | 52.143 | ENSCANG00000012014 | NANOS2 | 100 | 52.143 | Colobus_angolensis_palliatus |
ENSACAG00000023519 | - | 95 | 44.697 | ENSCANG00000034930 | NANOS3 | 76 | 44.697 | Colobus_angolensis_palliatus |
ENSACAG00000023519 | - | 100 | 53.623 | ENSCGRG00001013726 | Nanos2 | 100 | 53.623 | Cricetulus_griseus_chok1gshd |
ENSACAG00000023519 | - | 95 | 46.154 | ENSCGRG00001023851 | Nanos3 | 75 | 46.154 | Cricetulus_griseus_chok1gshd |
ENSACAG00000023519 | - | 95 | 46.154 | ENSCGRG00000017734 | Nanos3 | 73 | 46.154 | Cricetulus_griseus_crigri |
ENSACAG00000023519 | - | 100 | 53.623 | ENSCGRG00000019170 | Nanos2 | 100 | 53.623 | Cricetulus_griseus_crigri |
ENSACAG00000023519 | - | 85 | 37.956 | ENSCSEG00000017157 | nanos2 | 85 | 41.606 | Cynoglossus_semilaevis |
ENSACAG00000023519 | - | 79 | 44.340 | ENSCVAG00000006947 | nanos2 | 88 | 44.355 | Cyprinodon_variegatus |
ENSACAG00000023519 | - | 76 | 47.000 | ENSCVAG00000013105 | - | 60 | 38.971 | Cyprinodon_variegatus |
ENSACAG00000023519 | - | 77 | 37.815 | ENSDARG00000116802 | nanos2 | 82 | 39.496 | Danio_rerio |
ENSACAG00000023519 | - | 79 | 39.200 | ENSDARG00000068255 | nanos3 | 79 | 39.200 | Danio_rerio |
ENSACAG00000023519 | - | 95 | 52.632 | ENSDNOG00000044718 | NANOS2 | 96 | 52.632 | Dasypus_novemcinctus |
ENSACAG00000023519 | - | 50 | 56.923 | ENSDORG00000029226 | Nanos1 | 79 | 35.294 | Dipodomys_ordii |
ENSACAG00000023519 | - | 100 | 52.143 | ENSEASG00005014235 | NANOS2 | 100 | 52.083 | Equus_asinus_asinus |
ENSACAG00000023519 | - | 95 | 45.385 | ENSEASG00005015313 | NANOS3 | 78 | 45.385 | Equus_asinus_asinus |
ENSACAG00000023519 | - | 95 | 45.385 | ENSECAG00000016293 | NANOS3 | 74 | 45.385 | Equus_caballus |
ENSACAG00000023519 | - | 100 | 52.143 | ENSECAG00000006033 | NANOS2 | 100 | 52.083 | Equus_caballus |
ENSACAG00000023519 | - | 95 | 52.632 | ENSEEUG00000009930 | NANOS2 | 96 | 52.632 | Erinaceus_europaeus |
ENSACAG00000023519 | - | 95 | 43.151 | ENSEEUG00000009900 | NANOS3 | 87 | 43.151 | Erinaceus_europaeus |
ENSACAG00000023519 | - | 79 | 37.226 | ENSELUG00000016582 | - | 77 | 37.226 | Esox_lucius |
ENSACAG00000023519 | - | 84 | 42.373 | ENSELUG00000019091 | - | 82 | 42.373 | Esox_lucius |
ENSACAG00000023519 | - | 78 | 36.765 | ENSELUG00000016082 | nanos3 | 82 | 36.765 | Esox_lucius |
ENSACAG00000023519 | - | 100 | 52.143 | ENSFCAG00000027661 | NANOS2 | 100 | 53.472 | Felis_catus |
ENSACAG00000023519 | - | 91 | 38.400 | ENSFCAG00000003717 | NANOS3 | 73 | 40.323 | Felis_catus |
ENSACAG00000023519 | - | 95 | 44.030 | ENSFDAG00000018459 | NANOS3 | 74 | 44.030 | Fukomys_damarensis |
ENSACAG00000023519 | - | 99 | 51.493 | ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | Fukomys_damarensis |
ENSACAG00000023519 | - | 76 | 47.000 | ENSFHEG00000020713 | - | 58 | 38.971 | Fundulus_heteroclitus |
ENSACAG00000023519 | - | 88 | 40.000 | ENSFHEG00000012835 | NANOS2 | 85 | 42.308 | Fundulus_heteroclitus |
ENSACAG00000023519 | - | 79 | 43.119 | ENSGMOG00000015980 | - | 96 | 43.119 | Gadus_morhua |
ENSACAG00000023519 | - | 78 | 41.584 | ENSGMOG00000016541 | nanos3 | 69 | 41.584 | Gadus_morhua |
ENSACAG00000023519 | - | 64 | 48.837 | ENSGMOG00000020465 | nanos1 | 91 | 48.837 | Gadus_morhua |
ENSACAG00000023519 | - | 76 | 47.000 | ENSGAFG00000017699 | - | 58 | 38.971 | Gambusia_affinis |
ENSACAG00000023519 | - | 77 | 40.385 | ENSGAFG00000006000 | - | 66 | 42.453 | Gambusia_affinis |
ENSACAG00000023519 | - | 79 | 41.818 | ENSGACG00000004930 | - | 96 | 41.818 | Gasterosteus_aculeatus |
ENSACAG00000023519 | - | 88 | 37.681 | ENSGACG00000019003 | nanos3 | 88 | 37.681 | Gasterosteus_aculeatus |
ENSACAG00000023519 | - | 64 | 51.190 | ENSGACG00000016692 | - | 91 | 51.190 | Gasterosteus_aculeatus |
ENSACAG00000023519 | - | 93 | 45.802 | ENSGAGG00000005591 | - | 73 | 45.802 | Gopherus_agassizii |
ENSACAG00000023519 | - | 91 | 58.475 | ENSGAGG00000009500 | NANOS2 | 77 | 58.475 | Gopherus_agassizii |
ENSACAG00000023519 | - | 59 | 50.000 | ENSGAGG00000015730 | NANOS1 | 53 | 47.253 | Gopherus_agassizii |
ENSACAG00000023519 | - | 100 | 53.571 | ENSGGOG00000013447 | NANOS2 | 100 | 53.846 | Gorilla_gorilla |
ENSACAG00000023519 | - | 95 | 39.490 | ENSGGOG00000000964 | NANOS3 | 79 | 38.462 | Gorilla_gorilla |
ENSACAG00000023519 | - | 75 | 47.475 | ENSHBUG00000019798 | - | 52 | 47.475 | Haplochromis_burtoni |
ENSACAG00000023519 | - | 77 | 36.434 | ENSHBUG00000016772 | nanos2 | 78 | 36.434 | Haplochromis_burtoni |
ENSACAG00000023519 | - | 97 | 37.143 | ENSHBUG00000010726 | - | 58 | 37.143 | Haplochromis_burtoni |
ENSACAG00000023519 | - | 95 | 44.030 | ENSHGLG00000019378 | NANOS3 | 71 | 44.030 | Heterocephalus_glaber_female |
ENSACAG00000023519 | - | 95 | 44.030 | ENSHGLG00100012652 | NANOS3 | 71 | 44.030 | Heterocephalus_glaber_male |
ENSACAG00000023519 | - | 93 | 33.333 | ENSHCOG00000014790 | nanos3 | 78 | 40.000 | Hippocampus_comes |
ENSACAG00000023519 | - | 79 | 39.024 | ENSIPUG00000007200 | - | 76 | 39.024 | Ictalurus_punctatus |
ENSACAG00000023519 | - | 79 | 41.322 | ENSIPUG00000012246 | - | 66 | 41.322 | Ictalurus_punctatus |
ENSACAG00000023519 | - | 85 | 40.000 | ENSIPUG00000024113 | nanos2 | 83 | 40.000 | Ictalurus_punctatus |
ENSACAG00000023519 | - | 95 | 46.565 | ENSSTOG00000024797 | NANOS3 | 73 | 46.565 | Ictidomys_tridecemlineatus |
ENSACAG00000023519 | - | 100 | 54.545 | ENSSTOG00000021724 | NANOS2 | 100 | 54.545 | Ictidomys_tridecemlineatus |
ENSACAG00000023519 | - | 95 | 45.865 | ENSJJAG00000000545 | Nanos3 | 73 | 48.855 | Jaculus_jaculus |
ENSACAG00000023519 | - | 83 | 39.695 | ENSLBEG00000018836 | nanos2 | 87 | 39.695 | Labrus_bergylta |
ENSACAG00000023519 | - | 98 | 39.437 | ENSLACG00000013286 | NANOS3 | 97 | 39.437 | Latimeria_chalumnae |
ENSACAG00000023519 | - | 91 | 43.038 | ENSLACG00000014980 | - | 90 | 43.038 | Latimeria_chalumnae |
ENSACAG00000023519 | - | 95 | 40.909 | ENSLAFG00000008480 | NANOS3 | 73 | 44.361 | Loxodonta_africana |
ENSACAG00000023519 | - | 100 | 51.748 | ENSLAFG00000014090 | NANOS2 | 100 | 51.748 | Loxodonta_africana |
ENSACAG00000023519 | - | 95 | 40.789 | ENSMFAG00000040009 | NANOS3 | 78 | 40.789 | Macaca_fascicularis |
ENSACAG00000023519 | - | 100 | 52.143 | ENSMFAG00000017215 | NANOS2 | 100 | 52.143 | Macaca_fascicularis |
ENSACAG00000023519 | - | 95 | 41.060 | ENSMMUG00000008316 | NANOS3 | 78 | 41.060 | Macaca_mulatta |
ENSACAG00000023519 | - | 100 | 52.143 | ENSMMUG00000008103 | NANOS2 | 100 | 52.143 | Macaca_mulatta |
ENSACAG00000023519 | - | 100 | 52.143 | ENSMNEG00000004633 | NANOS2 | 100 | 52.143 | Macaca_nemestrina |
ENSACAG00000023519 | - | 95 | 40.789 | ENSMNEG00000028898 | NANOS3 | 78 | 40.789 | Macaca_nemestrina |
ENSACAG00000023519 | - | 95 | 42.857 | ENSMLEG00000033135 | NANOS3 | 75 | 44.776 | Mandrillus_leucophaeus |
ENSACAG00000023519 | - | 100 | 52.143 | ENSMLEG00000001810 | NANOS2 | 100 | 52.143 | Mandrillus_leucophaeus |
ENSACAG00000023519 | - | 82 | 39.669 | ENSMAMG00000005577 | NANOS2 | 80 | 39.669 | Mastacembelus_armatus |
ENSACAG00000023519 | - | 74 | 46.392 | ENSMAMG00000015477 | - | 53 | 46.392 | Mastacembelus_armatus |
ENSACAG00000023519 | - | 77 | 36.434 | ENSMZEG00005028148 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000023519 | - | 75 | 47.475 | ENSMZEG00005002722 | - | 52 | 47.475 | Maylandia_zebra |
ENSACAG00000023519 | - | 77 | 36.434 | ENSMZEG00005021987 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000023519 | - | 77 | 36.434 | ENSMZEG00005024641 | - | 78 | 36.434 | Maylandia_zebra |
ENSACAG00000023519 | - | 77 | 37.209 | ENSMZEG00005028154 | - | 78 | 37.209 | Maylandia_zebra |
ENSACAG00000023519 | - | 77 | 37.209 | ENSMZEG00005003043 | - | 78 | 37.209 | Maylandia_zebra |
ENSACAG00000023519 | - | 95 | 46.154 | ENSMAUG00000008396 | Nanos3 | 73 | 46.154 | Mesocricetus_auratus |
ENSACAG00000023519 | - | 95 | 46.154 | ENSMICG00000030950 | NANOS3 | 75 | 46.154 | Microcebus_murinus |
ENSACAG00000023519 | - | 95 | 46.154 | ENSMOCG00000000059 | Nanos3 | 73 | 45.385 | Microtus_ochrogaster |
ENSACAG00000023519 | - | 100 | 53.383 | ENSMOCG00000001985 | Nanos2 | 100 | 53.383 | Microtus_ochrogaster |
ENSACAG00000023519 | - | 76 | 48.000 | ENSMMOG00000003796 | - | 53 | 48.000 | Mola_mola |
ENSACAG00000023519 | - | 82 | 42.373 | ENSMMOG00000009827 | nanos2 | 78 | 42.373 | Mola_mola |
ENSACAG00000023519 | - | 93 | 47.581 | ENSMODG00000023964 | - | 95 | 47.581 | Monodelphis_domestica |
ENSACAG00000023519 | - | 78 | 44.118 | ENSMALG00000011545 | - | 58 | 44.118 | Monopterus_albus |
ENSACAG00000023519 | - | 89 | 36.691 | ENSMALG00000005945 | nanos3 | 85 | 36.691 | Monopterus_albus |
ENSACAG00000023519 | - | 89 | 50.000 | ENSMALG00000006299 | nanos2 | 82 | 50.000 | Monopterus_albus |
ENSACAG00000023519 | - | 95 | 46.923 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 46.923 | Mus_caroli |
ENSACAG00000023519 | - | 100 | 52.899 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 52.899 | Mus_caroli |
ENSACAG00000023519 | - | 95 | 46.923 | ENSMUSG00000056155 | Nanos3 | 75 | 46.923 | Mus_musculus |
ENSACAG00000023519 | - | 100 | 52.899 | ENSMUSG00000051965 | Nanos2 | 100 | 52.899 | Mus_musculus |
ENSACAG00000023519 | - | 100 | 50.000 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 50.000 | Mus_pahari |
ENSACAG00000023519 | - | 95 | 46.923 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 46.923 | Mus_pahari |
ENSACAG00000023519 | - | 100 | 52.174 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 52.174 | Mus_spretus |
ENSACAG00000023519 | - | 95 | 46.923 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 46.923 | Mus_spretus |
ENSACAG00000023519 | - | 95 | 46.923 | ENSMPUG00000003282 | NANOS3 | 73 | 46.923 | Mustela_putorius_furo |
ENSACAG00000023519 | - | 100 | 52.857 | ENSMPUG00000019371 | NANOS2 | 100 | 52.857 | Mustela_putorius_furo |
ENSACAG00000023519 | - | 95 | 43.846 | ENSMLUG00000012971 | NANOS3 | 75 | 43.846 | Myotis_lucifugus |
ENSACAG00000023519 | - | 96 | 34.320 | ENSNGAG00000023539 | Nanos1 | 82 | 34.320 | Nannospalax_galili |
ENSACAG00000023519 | - | 95 | 49.231 | ENSNGAG00000020486 | Nanos3 | 73 | 49.231 | Nannospalax_galili |
ENSACAG00000023519 | - | 82 | 39.252 | ENSNBRG00000018838 | NANOS2 | 70 | 39.252 | Neolamprologus_brichardi |
ENSACAG00000023519 | - | 75 | 47.475 | ENSNBRG00000014018 | - | 52 | 47.475 | Neolamprologus_brichardi |
ENSACAG00000023519 | - | 97 | 37.143 | ENSNBRG00000024149 | - | 58 | 37.143 | Neolamprologus_brichardi |
ENSACAG00000023519 | - | 95 | 44.697 | ENSNLEG00000034574 | NANOS3 | 75 | 44.697 | Nomascus_leucogenys |
ENSACAG00000023519 | - | 97 | 49.286 | ENSOPRG00000010043 | NANOS2 | 99 | 49.286 | Ochotona_princeps |
ENSACAG00000023519 | - | 95 | 41.611 | ENSOPRG00000007211 | - | 75 | 41.611 | Ochotona_princeps |
ENSACAG00000023519 | - | 95 | 46.923 | ENSODEG00000008907 | NANOS3 | 71 | 46.923 | Octodon_degus |
ENSACAG00000023519 | - | 77 | 38.760 | ENSONIG00000005777 | nanos2 | 78 | 37.984 | Oreochromis_niloticus |
ENSACAG00000023519 | - | 97 | 37.143 | ENSONIG00000021034 | - | 61 | 37.143 | Oreochromis_niloticus |
ENSACAG00000023519 | - | 59 | 51.282 | ENSOANG00000004407 | - | 54 | 45.745 | Ornithorhynchus_anatinus |
ENSACAG00000023519 | - | 93 | 43.284 | ENSOANG00000013042 | - | 95 | 43.284 | Ornithorhynchus_anatinus |
ENSACAG00000023519 | - | 97 | 50.365 | ENSOCUG00000023755 | NANOS2 | 99 | 51.095 | Oryctolagus_cuniculus |
ENSACAG00000023519 | - | 95 | 43.165 | ENSOCUG00000014802 | NANOS3 | 77 | 44.526 | Oryctolagus_cuniculus |
ENSACAG00000023519 | - | 79 | 38.710 | ENSORLG00000009335 | nanos2 | 78 | 40.496 | Oryzias_latipes |
ENSACAG00000023519 | - | 70 | 46.000 | ENSORLG00000012018 | nanos3 | 50 | 46.000 | Oryzias_latipes |
ENSACAG00000023519 | - | 70 | 46.000 | ENSORLG00020004967 | nanos3 | 50 | 46.000 | Oryzias_latipes_hni |
ENSACAG00000023519 | - | 79 | 38.710 | ENSORLG00020013284 | nanos2 | 78 | 40.496 | Oryzias_latipes_hni |
ENSACAG00000023519 | - | 79 | 38.710 | ENSORLG00015013150 | nanos2 | 78 | 40.496 | Oryzias_latipes_hsok |
ENSACAG00000023519 | - | 77 | 42.373 | ENSOMEG00000006512 | nanos2 | 77 | 41.525 | Oryzias_melastigma |
ENSACAG00000023519 | - | 95 | 46.923 | ENSOGAG00000007190 | NANOS3 | 74 | 46.923 | Otolemur_garnettii |
ENSACAG00000023519 | - | 100 | 51.429 | ENSOGAG00000032290 | NANOS2 | 100 | 51.429 | Otolemur_garnettii |
ENSACAG00000023519 | - | 52 | 53.425 | ENSOARG00000000575 | - | 58 | 53.425 | Ovis_aries |
ENSACAG00000023519 | - | 92 | 44.186 | ENSOARG00000008043 | NANOS3 | 71 | 44.776 | Ovis_aries |
ENSACAG00000023519 | - | 100 | 52.143 | ENSOARG00000011467 | NANOS2 | 100 | 52.778 | Ovis_aries |
ENSACAG00000023519 | - | 95 | 44.697 | ENSPPAG00000032168 | NANOS3 | 76 | 44.853 | Pan_paniscus |
ENSACAG00000023519 | - | 100 | 52.857 | ENSPPAG00000020568 | NANOS2 | 100 | 52.857 | Pan_paniscus |
ENSACAG00000023519 | - | 100 | 53.571 | ENSPPRG00000015211 | NANOS2 | 100 | 53.472 | Panthera_pardus |
ENSACAG00000023519 | - | 95 | 43.511 | ENSPPRG00000009573 | NANOS3 | 75 | 45.385 | Panthera_pardus |
ENSACAG00000023519 | - | 90 | 51.181 | ENSPTIG00000015372 | NANOS2 | 90 | 51.145 | Panthera_tigris_altaica |
ENSACAG00000023519 | - | 95 | 43.511 | ENSPTIG00000000325 | NANOS3 | 75 | 45.385 | Panthera_tigris_altaica |
ENSACAG00000023519 | - | 95 | 40.397 | ENSPTRG00000010568 | NANOS3 | 78 | 40.397 | Pan_troglodytes |
ENSACAG00000023519 | - | 100 | 52.857 | ENSPTRG00000011172 | NANOS2 | 100 | 52.857 | Pan_troglodytes |
ENSACAG00000023519 | - | 100 | 52.857 | ENSPANG00000009327 | NANOS2 | 100 | 52.448 | Papio_anubis |
ENSACAG00000023519 | - | 95 | 40.789 | ENSPANG00000015037 | NANOS3 | 76 | 40.789 | Papio_anubis |
ENSACAG00000023519 | - | 78 | 35.036 | ENSPKIG00000009354 | nanos3 | 70 | 35.036 | Paramormyrops_kingsleyae |
ENSACAG00000023519 | - | 90 | 40.625 | ENSPKIG00000006905 | - | 62 | 40.625 | Paramormyrops_kingsleyae |
ENSACAG00000023519 | - | 77 | 39.167 | ENSPKIG00000006934 | - | 82 | 40.000 | Paramormyrops_kingsleyae |
ENSACAG00000023519 | - | 60 | 50.617 | ENSPSIG00000000407 | - | 99 | 50.617 | Pelodiscus_sinensis |
ENSACAG00000023519 | - | 95 | 56.250 | ENSPSIG00000007082 | NANOS2 | 97 | 56.250 | Pelodiscus_sinensis |
ENSACAG00000023519 | - | 83 | 44.094 | ENSPMGG00000023681 | nanos2 | 74 | 44.094 | Periophthalmus_magnuspinnatus |
ENSACAG00000023519 | - | 100 | 53.285 | ENSPEMG00000014999 | Nanos2 | 100 | 53.285 | Peromyscus_maniculatus_bairdii |
ENSACAG00000023519 | - | 64 | 50.000 | ENSPFOG00000020533 | - | 91 | 50.000 | Poecilia_formosa |
ENSACAG00000023519 | - | 76 | 47.000 | ENSPLAG00000005060 | - | 58 | 38.971 | Poecilia_latipinna |
ENSACAG00000023519 | - | 83 | 43.243 | ENSPLAG00000007786 | NANOS2 | 86 | 43.243 | Poecilia_latipinna |
ENSACAG00000023519 | - | 85 | 41.228 | ENSPMEG00000005681 | NANOS2 | 87 | 41.228 | Poecilia_mexicana |
ENSACAG00000023519 | - | 76 | 47.000 | ENSPMEG00000000521 | - | 58 | 38.971 | Poecilia_mexicana |
ENSACAG00000023519 | - | 83 | 42.593 | ENSPREG00000020465 | nanos2 | 86 | 42.593 | Poecilia_reticulata |
ENSACAG00000023519 | - | 76 | 47.000 | ENSPREG00000006901 | - | 58 | 38.971 | Poecilia_reticulata |
ENSACAG00000023519 | - | 95 | 39.744 | ENSPPYG00000009627 | NANOS3 | 78 | 38.462 | Pongo_abelii |
ENSACAG00000023519 | - | 100 | 52.143 | ENSPPYG00000010138 | NANOS2 | 100 | 52.143 | Pongo_abelii |
ENSACAG00000023519 | - | 100 | 52.143 | ENSPCAG00000005087 | NANOS2 | 100 | 52.143 | Procavia_capensis |
ENSACAG00000023519 | - | 95 | 46.154 | ENSPCOG00000018814 | NANOS3 | 75 | 46.154 | Propithecus_coquereli |
ENSACAG00000023519 | - | 100 | 50.714 | ENSPVAG00000001363 | NANOS2 | 100 | 52.083 | Pteropus_vampyrus |
ENSACAG00000023519 | - | 95 | 42.424 | ENSPVAG00000017538 | NANOS3 | 75 | 43.182 | Pteropus_vampyrus |
ENSACAG00000023519 | - | 77 | 45.000 | ENSPNYG00000004545 | NANOS2 | 76 | 45.000 | Pundamilia_nyererei |
ENSACAG00000023519 | - | 97 | 37.143 | ENSPNYG00000018230 | - | 58 | 37.143 | Pundamilia_nyererei |
ENSACAG00000023519 | - | 75 | 47.475 | ENSPNYG00000001325 | - | 52 | 47.475 | Pundamilia_nyererei |
ENSACAG00000023519 | - | 93 | 45.968 | ENSPNAG00000002259 | nanos3 | 78 | 46.774 | Pygocentrus_nattereri |
ENSACAG00000023519 | - | 100 | 52.899 | ENSRNOG00000038088 | Nanos2 | 100 | 52.899 | Rattus_norvegicus |
ENSACAG00000023519 | - | 95 | 46.154 | ENSRNOG00000031593 | Nanos3 | 73 | 46.154 | Rattus_norvegicus |
ENSACAG00000023519 | - | 95 | 40.397 | ENSRBIG00000037377 | NANOS3 | 79 | 40.397 | Rhinopithecus_bieti |
ENSACAG00000023519 | - | 100 | 52.143 | ENSRBIG00000023726 | NANOS2 | 100 | 52.143 | Rhinopithecus_bieti |
ENSACAG00000023519 | - | 100 | 52.143 | ENSRROG00000014903 | NANOS2 | 100 | 52.143 | Rhinopithecus_roxellana |
ENSACAG00000023519 | - | 95 | 40.397 | ENSRROG00000032642 | NANOS3 | 79 | 40.397 | Rhinopithecus_roxellana |
ENSACAG00000023519 | - | 95 | 41.727 | ENSSBOG00000020970 | NANOS3 | 76 | 42.446 | Saimiri_boliviensis_boliviensis |
ENSACAG00000023519 | - | 97 | 53.030 | ENSSHAG00000017034 | NANOS2 | 98 | 53.030 | Sarcophilus_harrisii |
ENSACAG00000023519 | - | 92 | 45.669 | ENSSHAG00000012099 | - | 94 | 45.669 | Sarcophilus_harrisii |
ENSACAG00000023519 | - | 92 | 46.457 | ENSSHAG00000010756 | - | 94 | 46.457 | Sarcophilus_harrisii |
ENSACAG00000023519 | - | 79 | 44.660 | ENSSFOG00015007586 | - | 78 | 44.660 | Scleropages_formosus |
ENSACAG00000023519 | - | 78 | 40.000 | ENSSFOG00015013452 | nanos3 | 86 | 40.000 | Scleropages_formosus |
ENSACAG00000023519 | - | 82 | 33.824 | ENSSMAG00000013915 | nanos2 | 81 | 34.559 | Scophthalmus_maximus |
ENSACAG00000023519 | - | 95 | 35.099 | ENSSDUG00000016576 | nanos2 | 85 | 35.099 | Seriola_dumerili |
ENSACAG00000023519 | - | 74 | 46.392 | ENSSDUG00000007879 | - | 53 | 46.392 | Seriola_dumerili |
ENSACAG00000023519 | - | 74 | 46.392 | ENSSLDG00000021260 | - | 54 | 46.392 | Seriola_lalandi_dorsalis |
ENSACAG00000023519 | - | 79 | 36.364 | ENSSLDG00000013795 | nanos2 | 80 | 36.364 | Seriola_lalandi_dorsalis |
ENSACAG00000023519 | - | 95 | 44.615 | ENSSARG00000008966 | NANOS3 | 73 | 44.615 | Sorex_araneus |
ENSACAG00000023519 | - | 100 | 55.172 | ENSSPUG00000002566 | NANOS2 | 95 | 56.522 | Sphenodon_punctatus |
ENSACAG00000023519 | - | 93 | 47.619 | ENSSPUG00000009826 | NANOS3 | 67 | 47.619 | Sphenodon_punctatus |
ENSACAG00000023519 | - | 79 | 40.625 | ENSSPAG00000003887 | nanos2 | 83 | 40.625 | Stegastes_partitus |
ENSACAG00000023519 | - | 100 | 52.778 | ENSSSCG00000003096 | NANOS2 | 100 | 52.778 | Sus_scrofa |
ENSACAG00000023519 | - | 95 | 47.692 | ENSSSCG00000013759 | NANOS3 | 75 | 46.923 | Sus_scrofa |
ENSACAG00000023519 | - | 85 | 41.964 | ENSTRUG00000017633 | nanos2 | 89 | 45.536 | Takifugu_rubripes |
ENSACAG00000023519 | - | 79 | 42.241 | ENSTNIG00000010543 | - | 87 | 42.241 | Tetraodon_nigroviridis |
ENSACAG00000023519 | - | 77 | 47.059 | ENSTNIG00000014063 | nanos3 | 84 | 47.059 | Tetraodon_nigroviridis |
ENSACAG00000023519 | - | 95 | 44.615 | ENSTBEG00000013729 | NANOS3 | 86 | 44.615 | Tupaia_belangeri |
ENSACAG00000023519 | - | 95 | 44.275 | ENSTTRG00000008361 | NANOS3 | 78 | 44.697 | Tursiops_truncatus |
ENSACAG00000023519 | - | 98 | 52.174 | ENSTTRG00000014315 | NANOS2 | 98 | 54.015 | Tursiops_truncatus |
ENSACAG00000023519 | - | 95 | 43.846 | ENSUAMG00000006804 | NANOS3 | 75 | 44.615 | Ursus_americanus |
ENSACAG00000023519 | - | 100 | 54.286 | ENSUAMG00000023170 | NANOS2 | 100 | 52.778 | Ursus_americanus |
ENSACAG00000023519 | - | 95 | 43.846 | ENSUMAG00000004703 | NANOS3 | 73 | 44.615 | Ursus_maritimus |
ENSACAG00000023519 | - | 80 | 49.123 | ENSUMAG00000023699 | NANOS2 | 73 | 47.458 | Ursus_maritimus |
ENSACAG00000023519 | - | 95 | 45.385 | ENSVPAG00000011497 | NANOS3 | 76 | 45.385 | Vicugna_pacos |
ENSACAG00000023519 | - | 95 | 44.615 | ENSVVUG00000026757 | NANOS3 | 76 | 46.923 | Vulpes_vulpes |
ENSACAG00000023519 | - | 95 | 53.285 | ENSVVUG00000002993 | NANOS2 | 96 | 53.285 | Vulpes_vulpes |
ENSACAG00000023519 | - | 95 | 38.462 | ENSXETG00000021874 | nanos3 | 97 | 38.462 | Xenopus_tropicalis |
ENSACAG00000023519 | - | 78 | 42.593 | ENSXETG00000024565 | nanos1 | 84 | 42.593 | Xenopus_tropicalis |
ENSACAG00000023519 | - | 95 | 42.754 | ENSXETG00000014552 | NANOS2 | 98 | 42.754 | Xenopus_tropicalis |
ENSACAG00000023519 | - | 76 | 47.000 | ENSXCOG00000015035 | - | 58 | 38.971 | Xiphophorus_couchianus |
ENSACAG00000023519 | - | 78 | 34.091 | ENSXMAG00000020157 | - | 64 | 34.091 | Xiphophorus_maculatus |
ENSACAG00000023519 | - | 76 | 47.000 | ENSXMAG00000024788 | - | 58 | 38.971 | Xiphophorus_maculatus |