Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSMALP00000008368 | zf-nanos | PF05741.13 | 2.2e-24 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSMALT00000008544 | - | 495 | - | ENSMALP00000008368 | 164 (aa) | - | - |
Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
---|---|---|---|---|---|---|---|
ENSMALG00000005945 | nanos3 | 74 | 38.843 | ENSMALG00000006299 | nanos2 | 67 | 38.843 |
ENSMALG00000005945 | nanos3 | 87 | 63.380 | ENSMALG00000011545 | - | 69 | 63.380 |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSMALG00000005945 | nanos3 | 84 | 43.796 | ENSG00000187556 | NANOS3 | 74 | 42.568 | Homo_sapiens |
ENSMALG00000005945 | nanos3 | 84 | 34.228 | ENSG00000188425 | NANOS2 | 90 | 34.228 | Homo_sapiens |
ENSMALG00000005945 | nanos3 | 82 | 34.266 | ENSAPOG00000020274 | nanos2 | 87 | 34.014 | Acanthochromis_polyacanthus |
ENSMALG00000005945 | nanos3 | 95 | 49.533 | ENSAPOG00000009762 | nanos3 | 100 | 50.233 | Acanthochromis_polyacanthus |
ENSMALG00000005945 | nanos3 | 84 | 44.203 | ENSAMEG00000012972 | NANOS3 | 70 | 43.478 | Ailuropoda_melanoleuca |
ENSMALG00000005945 | nanos3 | 84 | 36.496 | ENSACIG00000007105 | nanos2 | 77 | 36.496 | Amphilophus_citrinellus |
ENSMALG00000005945 | nanos3 | 95 | 76.923 | ENSACIG00000009111 | nanos3 | 68 | 76.923 | Amphilophus_citrinellus |
ENSMALG00000005945 | nanos3 | 66 | 77.679 | ENSAOCG00000009870 | nanos3 | 54 | 77.679 | Amphiprion_ocellaris |
ENSMALG00000005945 | nanos3 | 83 | 34.459 | ENSAOCG00000009429 | nanos2 | 88 | 34.459 | Amphiprion_ocellaris |
ENSMALG00000005945 | nanos3 | 66 | 77.679 | ENSAPEG00000013733 | nanos3 | 54 | 77.679 | Amphiprion_percula |
ENSMALG00000005945 | nanos3 | 78 | 35.556 | ENSATEG00000009393 | nanos2 | 80 | 37.226 | Anabas_testudineus |
ENSMALG00000005945 | nanos3 | 86 | 45.545 | ENSATEG00000007052 | - | 88 | 45.545 | Anabas_testudineus |
ENSMALG00000005945 | nanos3 | 97 | 50.901 | ENSATEG00000019463 | nanos3 | 100 | 50.901 | Anabas_testudineus |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000022041 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.060 | ENSACAG00000025632 | - | 88 | 38.060 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000025260 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.806 | ENSACAG00000025505 | - | 88 | 38.806 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 37.410 | ENSACAG00000026819 | - | 89 | 37.410 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 39.568 | ENSACAG00000025556 | - | 90 | 39.568 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 36.691 | ENSACAG00000023519 | - | 89 | 36.691 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000026757 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000024370 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 37.857 | ENSACAG00000027212 | - | 88 | 37.956 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000023803 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000026350 | - | 90 | 38.406 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.129 | ENSACAG00000022088 | - | 89 | 38.129 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000024364 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.060 | ENSACAG00000014502 | - | 88 | 38.060 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 37.857 | ENSACAG00000022918 | - | 88 | 37.956 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000026478 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 36.691 | ENSACAG00000022322 | - | 89 | 36.691 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 37.410 | ENSACAG00000025729 | - | 89 | 37.410 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.806 | ENSACAG00000023813 | - | 88 | 38.806 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 36.691 | ENSACAG00000026334 | - | 89 | 36.691 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000005197 | - | 90 | 38.406 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000027995 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000022675 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.129 | ENSACAG00000026716 | - | 89 | 38.129 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 36.691 | ENSACAG00000027983 | - | 89 | 36.691 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000025093 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 36.691 | ENSACAG00000024995 | - | 89 | 36.691 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000027196 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000024568 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 37.857 | ENSACAG00000027728 | - | 90 | 37.857 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000027440 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000025307 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 74 | 39.344 | ENSACAG00000022790 | - | 82 | 38.525 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000026771 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000023391 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000023650 | - | 88 | 38.686 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000024639 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000024972 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000024504 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000025452 | - | 90 | 38.406 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000023855 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000023428 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000024524 | - | 90 | 38.406 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000027265 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 37.681 | ENSACAG00000026660 | - | 90 | 37.681 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 37.313 | ENSACAG00000024432 | - | 87 | 37.313 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 37.410 | ENSACAG00000024434 | - | 89 | 37.410 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.060 | ENSACAG00000022321 | - | 88 | 38.060 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000027568 | - | 90 | 38.406 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 36.567 | ENSACAG00000024003 | - | 88 | 36.567 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 83 | 37.500 | ENSACAG00000022236 | - | 87 | 37.500 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000010268 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 36.691 | ENSACAG00000025044 | - | 89 | 36.691 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000025655 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000024274 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 38.406 | ENSACAG00000023823 | - | 88 | 38.519 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.060 | ENSACAG00000028048 | - | 88 | 38.060 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 85 | 38.571 | ENSACAG00000026317 | - | 90 | 38.571 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 82 | 38.060 | ENSACAG00000022207 | - | 87 | 38.060 | Anolis_carolinensis |
ENSMALG00000005945 | nanos3 | 84 | 43.796 | ENSANAG00000025042 | NANOS3 | 73 | 45.652 | Aotus_nancymaae |
ENSMALG00000005945 | nanos3 | 91 | 79.091 | ENSACLG00000020332 | nanos3 | 69 | 79.091 | Astatotilapia_calliptera |
ENSMALG00000005945 | nanos3 | 74 | 32.258 | ENSACLG00000013474 | - | 77 | 32.258 | Astatotilapia_calliptera |
ENSMALG00000005945 | nanos3 | 79 | 40.426 | ENSAMXG00000042358 | nanos2 | 81 | 40.426 | Astyanax_mexicanus |
ENSMALG00000005945 | nanos3 | 84 | 42.754 | ENSBTAG00000000399 | NANOS3 | 71 | 42.754 | Bos_taurus |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSBTAG00000047505 | NANOS2 | 90 | 39.286 | Bos_taurus |
ENSMALG00000005945 | nanos3 | 84 | 37.857 | ENSCJAG00000012141 | NANOS2 | 88 | 39.286 | Callithrix_jacchus |
ENSMALG00000005945 | nanos3 | 84 | 40.876 | ENSCJAG00000004388 | NANOS3 | 73 | 44.203 | Callithrix_jacchus |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSCAFG00000016592 | NANOS3 | 64 | 41.958 | Canis_familiaris |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSCAFG00000024541 | NANOS2 | 90 | 39.286 | Canis_familiaris |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSCAFG00020001772 | NANOS2 | 90 | 39.286 | Canis_lupus_dingo |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSCAFG00020006694 | NANOS3 | 64 | 41.958 | Canis_lupus_dingo |
ENSMALG00000005945 | nanos3 | 84 | 44.604 | ENSCHIG00000007837 | NANOS3 | 69 | 44.604 | Capra_hircus |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSCHIG00000012637 | NANOS2 | 90 | 39.286 | Capra_hircus |
ENSMALG00000005945 | nanos3 | 84 | 41.304 | ENSTSYG00000026709 | NANOS3 | 70 | 41.429 | Carlito_syrichta |
ENSMALG00000005945 | nanos3 | 84 | 39.568 | ENSCAPG00000016771 | NANOS2 | 90 | 39.568 | Cavia_aperea |
ENSMALG00000005945 | nanos3 | 84 | 43.066 | ENSCAPG00000014339 | NANOS3 | 78 | 42.029 | Cavia_aperea |
ENSMALG00000005945 | nanos3 | 84 | 39.568 | ENSCPOG00000014969 | NANOS2 | 90 | 39.568 | Cavia_porcellus |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSCPOG00000020727 | NANOS3 | 71 | 42.029 | Cavia_porcellus |
ENSMALG00000005945 | nanos3 | 84 | 39.189 | ENSCCAG00000036253 | NANOS3 | 71 | 42.754 | Cebus_capucinus |
ENSMALG00000005945 | nanos3 | 84 | 40.132 | ENSCATG00000034885 | NANOS3 | 74 | 40.397 | Cercocebus_atys |
ENSMALG00000005945 | nanos3 | 84 | 36.957 | ENSCATG00000018951 | NANOS2 | 90 | 34.899 | Cercocebus_atys |
ENSMALG00000005945 | nanos3 | 84 | 44.526 | ENSCLAG00000015139 | NANOS3 | 69 | 44.526 | Chinchilla_lanigera |
ENSMALG00000005945 | nanos3 | 84 | 40.876 | ENSCLAG00000001832 | NANOS2 | 89 | 40.876 | Chinchilla_lanigera |
ENSMALG00000005945 | nanos3 | 84 | 39.744 | ENSCSAG00000006428 | NANOS3 | 75 | 42.282 | Chlorocebus_sabaeus |
ENSMALG00000005945 | nanos3 | 84 | 36.957 | ENSCSAG00000019629 | NANOS2 | 90 | 37.681 | Chlorocebus_sabaeus |
ENSMALG00000005945 | nanos3 | 84 | 39.416 | ENSCHOG00000001937 | NANOS2 | 90 | 40.845 | Choloepus_hoffmanni |
ENSMALG00000005945 | nanos3 | 84 | 40.146 | ENSCPBG00000007141 | NANOS2 | 81 | 40.146 | Chrysemys_picta_bellii |
ENSMALG00000005945 | nanos3 | 82 | 39.706 | ENSCPBG00000023819 | NANOS3 | 86 | 39.706 | Chrysemys_picta_bellii |
ENSMALG00000005945 | nanos3 | 84 | 34.899 | ENSCANG00000012014 | NANOS2 | 90 | 34.899 | Colobus_angolensis_palliatus |
ENSMALG00000005945 | nanos3 | 84 | 43.796 | ENSCANG00000034930 | NANOS3 | 74 | 43.537 | Colobus_angolensis_palliatus |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSCGRG00001023851 | Nanos3 | 70 | 42.029 | Cricetulus_griseus_chok1gshd |
ENSMALG00000005945 | nanos3 | 84 | 39.416 | ENSCGRG00001013726 | Nanos2 | 89 | 39.416 | Cricetulus_griseus_chok1gshd |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSCGRG00000017734 | Nanos3 | 69 | 42.029 | Cricetulus_griseus_crigri |
ENSMALG00000005945 | nanos3 | 84 | 39.416 | ENSCGRG00000019170 | Nanos2 | 89 | 39.416 | Cricetulus_griseus_crigri |
ENSMALG00000005945 | nanos3 | 75 | 40.800 | ENSCVAG00000006947 | nanos2 | 77 | 41.600 | Cyprinodon_variegatus |
ENSMALG00000005945 | nanos3 | 66 | 59.504 | ENSCVAG00000011987 | nanos3 | 97 | 45.918 | Cyprinodon_variegatus |
ENSMALG00000005945 | nanos3 | 75 | 38.211 | ENSDARG00000116802 | nanos2 | 82 | 35.938 | Danio_rerio |
ENSMALG00000005945 | nanos3 | 98 | 50.000 | ENSDARG00000068255 | nanos3 | 98 | 50.000 | Danio_rerio |
ENSMALG00000005945 | nanos3 | 84 | 40.580 | ENSDNOG00000044718 | NANOS2 | 91 | 40.580 | Dasypus_novemcinctus |
ENSMALG00000005945 | nanos3 | 84 | 43.796 | ENSEASG00005015313 | NANOS3 | 73 | 43.478 | Equus_asinus_asinus |
ENSMALG00000005945 | nanos3 | 84 | 37.226 | ENSEASG00005014235 | NANOS2 | 90 | 38.028 | Equus_asinus_asinus |
ENSMALG00000005945 | nanos3 | 84 | 43.478 | ENSECAG00000016293 | NANOS3 | 69 | 43.478 | Equus_caballus |
ENSMALG00000005945 | nanos3 | 84 | 37.956 | ENSECAG00000006033 | NANOS2 | 90 | 38.028 | Equus_caballus |
ENSMALG00000005945 | nanos3 | 84 | 40.000 | ENSEEUG00000009930 | NANOS2 | 90 | 40.000 | Erinaceus_europaeus |
ENSMALG00000005945 | nanos3 | 84 | 41.830 | ENSEEUG00000009900 | NANOS3 | 82 | 41.830 | Erinaceus_europaeus |
ENSMALG00000005945 | nanos3 | 91 | 45.930 | ENSELUG00000016582 | - | 94 | 45.930 | Esox_lucius |
ENSMALG00000005945 | nanos3 | 90 | 49.693 | ENSELUG00000016082 | nanos3 | 96 | 49.693 | Esox_lucius |
ENSMALG00000005945 | nanos3 | 84 | 38.686 | ENSFCAG00000027661 | NANOS2 | 90 | 40.714 | Felis_catus |
ENSMALG00000005945 | nanos3 | 84 | 40.146 | ENSFDAG00000016342 | NANOS2 | 89 | 40.146 | Fukomys_damarensis |
ENSMALG00000005945 | nanos3 | 84 | 45.985 | ENSFDAG00000018459 | NANOS3 | 69 | 45.985 | Fukomys_damarensis |
ENSMALG00000005945 | nanos3 | 92 | 49.398 | ENSFHEG00000017084 | - | 92 | 51.205 | Fundulus_heteroclitus |
ENSMALG00000005945 | nanos3 | 75 | 38.211 | ENSFHEG00000012835 | NANOS2 | 86 | 36.000 | Fundulus_heteroclitus |
ENSMALG00000005945 | nanos3 | 90 | 43.537 | ENSGMOG00000016541 | nanos3 | 93 | 43.537 | Gadus_morhua |
ENSMALG00000005945 | nanos3 | 74 | 40.164 | ENSGMOG00000015980 | - | 94 | 40.164 | Gadus_morhua |
ENSMALG00000005945 | nanos3 | 97 | 54.762 | ENSGAFG00000010617 | nanos3 | 100 | 54.545 | Gambusia_affinis |
ENSMALG00000005945 | nanos3 | 74 | 40.323 | ENSGACG00000004930 | - | 94 | 40.323 | Gasterosteus_aculeatus |
ENSMALG00000005945 | nanos3 | 95 | 68.987 | ENSGACG00000019003 | nanos3 | 100 | 68.987 | Gasterosteus_aculeatus |
ENSMALG00000005945 | nanos3 | 84 | 39.568 | ENSGAGG00000005591 | - | 69 | 39.568 | Gopherus_agassizii |
ENSMALG00000005945 | nanos3 | 85 | 40.714 | ENSGAGG00000009500 | NANOS2 | 76 | 40.714 | Gopherus_agassizii |
ENSMALG00000005945 | nanos3 | 84 | 41.176 | ENSGGOG00000000964 | NANOS3 | 75 | 40.909 | Gorilla_gorilla |
ENSMALG00000005945 | nanos3 | 84 | 36.957 | ENSGGOG00000013447 | NANOS2 | 90 | 37.857 | Gorilla_gorilla |
ENSMALG00000005945 | nanos3 | 82 | 32.911 | ENSHBUG00000016772 | nanos2 | 89 | 35.811 | Haplochromis_burtoni |
ENSMALG00000005945 | nanos3 | 74 | 32.911 | ENSHBUG00000019798 | - | 77 | 32.911 | Haplochromis_burtoni |
ENSMALG00000005945 | nanos3 | 91 | 79.091 | ENSHBUG00000018730 | nanos3 | 69 | 79.091 | Haplochromis_burtoni |
ENSMALG00000005945 | nanos3 | 84 | 44.604 | ENSHGLG00000019378 | NANOS3 | 66 | 44.928 | Heterocephalus_glaber_female |
ENSMALG00000005945 | nanos3 | 84 | 44.604 | ENSHGLG00100012652 | NANOS3 | 66 | 44.928 | Heterocephalus_glaber_male |
ENSMALG00000005945 | nanos3 | 87 | 54.487 | ENSHCOG00000014790 | nanos3 | 84 | 58.519 | Hippocampus_comes |
ENSMALG00000005945 | nanos3 | 96 | 45.732 | ENSIPUG00000012246 | - | 85 | 45.732 | Ictalurus_punctatus |
ENSMALG00000005945 | nanos3 | 99 | 40.642 | ENSIPUG00000008857 | nanos3 | 98 | 40.642 | Ictalurus_punctatus |
ENSMALG00000005945 | nanos3 | 84 | 47.887 | ENSIPUG00000007200 | - | 83 | 47.887 | Ictalurus_punctatus |
ENSMALG00000005945 | nanos3 | 85 | 36.986 | ENSIPUG00000024113 | nanos2 | 86 | 36.986 | Ictalurus_punctatus |
ENSMALG00000005945 | nanos3 | 84 | 39.568 | ENSSTOG00000024797 | NANOS3 | 68 | 43.478 | Ictidomys_tridecemlineatus |
ENSMALG00000005945 | nanos3 | 84 | 37.956 | ENSSTOG00000021724 | NANOS2 | 89 | 37.956 | Ictidomys_tridecemlineatus |
ENSMALG00000005945 | nanos3 | 84 | 39.855 | ENSJJAG00000000545 | Nanos3 | 68 | 43.165 | Jaculus_jaculus |
ENSMALG00000005945 | nanos3 | 97 | 45.413 | ENSKMAG00000018767 | nanos3 | 100 | 46.330 | Kryptolebias_marmoratus |
ENSMALG00000005945 | nanos3 | 79 | 36.364 | ENSLBEG00000018836 | nanos2 | 86 | 36.364 | Labrus_bergylta |
ENSMALG00000005945 | nanos3 | 97 | 71.200 | ENSLBEG00000004936 | nanos3 | 72 | 72.800 | Labrus_bergylta |
ENSMALG00000005945 | nanos3 | 74 | 34.810 | ENSLBEG00000027516 | - | 81 | 34.177 | Labrus_bergylta |
ENSMALG00000005945 | nanos3 | 84 | 37.410 | ENSLACG00000013286 | NANOS3 | 88 | 37.410 | Latimeria_chalumnae |
ENSMALG00000005945 | nanos3 | 84 | 34.591 | ENSLACG00000014980 | - | 88 | 34.591 | Latimeria_chalumnae |
ENSMALG00000005945 | nanos3 | 84 | 40.000 | ENSLAFG00000014090 | NANOS2 | 90 | 40.000 | Loxodonta_africana |
ENSMALG00000005945 | nanos3 | 84 | 40.876 | ENSLAFG00000008480 | NANOS3 | 69 | 43.478 | Loxodonta_africana |
ENSMALG00000005945 | nanos3 | 84 | 42.857 | ENSMFAG00000040009 | NANOS3 | 74 | 42.568 | Macaca_fascicularis |
ENSMALG00000005945 | nanos3 | 84 | 34.899 | ENSMFAG00000017215 | NANOS2 | 90 | 34.899 | Macaca_fascicularis |
ENSMALG00000005945 | nanos3 | 84 | 34.899 | ENSMMUG00000008103 | NANOS2 | 90 | 34.899 | Macaca_mulatta |
ENSMALG00000005945 | nanos3 | 84 | 43.243 | ENSMMUG00000008316 | NANOS3 | 74 | 42.953 | Macaca_mulatta |
ENSMALG00000005945 | nanos3 | 84 | 34.899 | ENSMNEG00000004633 | NANOS2 | 90 | 34.899 | Macaca_nemestrina |
ENSMALG00000005945 | nanos3 | 84 | 42.857 | ENSMNEG00000028898 | NANOS3 | 74 | 42.568 | Macaca_nemestrina |
ENSMALG00000005945 | nanos3 | 84 | 42.336 | ENSMLEG00000033135 | NANOS3 | 73 | 40.667 | Mandrillus_leucophaeus |
ENSMALG00000005945 | nanos3 | 84 | 36.957 | ENSMLEG00000001810 | NANOS2 | 90 | 34.899 | Mandrillus_leucophaeus |
ENSMALG00000005945 | nanos3 | 96 | 35.032 | ENSMAMG00000005577 | NANOS2 | 94 | 35.032 | Mastacembelus_armatus |
ENSMALG00000005945 | nanos3 | 97 | 76.033 | ENSMAMG00000011660 | nanos3 | 70 | 76.033 | Mastacembelus_armatus |
ENSMALG00000005945 | nanos3 | 82 | 31.646 | ENSMZEG00005028148 | - | 89 | 34.459 | Maylandia_zebra |
ENSMALG00000005945 | nanos3 | 91 | 78.182 | ENSMZEG00005007690 | nanos3 | 69 | 78.182 | Maylandia_zebra |
ENSMALG00000005945 | nanos3 | 82 | 35.135 | ENSMZEG00005021987 | - | 89 | 35.135 | Maylandia_zebra |
ENSMALG00000005945 | nanos3 | 82 | 31.646 | ENSMZEG00005024641 | - | 89 | 34.459 | Maylandia_zebra |
ENSMALG00000005945 | nanos3 | 74 | 32.911 | ENSMZEG00005002722 | - | 77 | 32.911 | Maylandia_zebra |
ENSMALG00000005945 | nanos3 | 84 | 41.304 | ENSMAUG00000008396 | Nanos3 | 69 | 41.304 | Mesocricetus_auratus |
ENSMALG00000005945 | nanos3 | 84 | 43.165 | ENSMICG00000030950 | NANOS3 | 70 | 43.165 | Microcebus_murinus |
ENSMALG00000005945 | nanos3 | 84 | 37.956 | ENSMOCG00000001985 | Nanos2 | 89 | 37.956 | Microtus_ochrogaster |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSMOCG00000000059 | Nanos3 | 69 | 42.754 | Microtus_ochrogaster |
ENSMALG00000005945 | nanos3 | 75 | 38.400 | ENSMMOG00000009827 | nanos2 | 76 | 38.400 | Mola_mola |
ENSMALG00000005945 | nanos3 | 97 | 44.298 | ENSMMOG00000021368 | - | 67 | 39.738 | Mola_mola |
ENSMALG00000005945 | nanos3 | 85 | 41.007 | ENSMODG00000023964 | - | 91 | 41.007 | Monodelphis_domestica |
ENSMALG00000005945 | nanos3 | 84 | 40.580 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 68 | 40.580 | Mus_caroli |
ENSMALG00000005945 | nanos3 | 84 | 41.606 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 90 | 41.606 | Mus_caroli |
ENSMALG00000005945 | nanos3 | 84 | 40.876 | ENSMUSG00000051965 | Nanos2 | 90 | 40.876 | Mus_musculus |
ENSMALG00000005945 | nanos3 | 84 | 40.580 | ENSMUSG00000056155 | Nanos3 | 70 | 40.580 | Mus_musculus |
ENSMALG00000005945 | nanos3 | 84 | 38.686 | MGP_PahariEiJ_G0021123 | Nanos2 | 90 | 38.686 | Mus_pahari |
ENSMALG00000005945 | nanos3 | 84 | 40.580 | MGP_PahariEiJ_G0022902 | Nanos3 | 68 | 40.580 | Mus_pahari |
ENSMALG00000005945 | nanos3 | 84 | 40.580 | MGP_SPRETEiJ_G0032414 | Nanos3 | 69 | 40.580 | Mus_spretus |
ENSMALG00000005945 | nanos3 | 84 | 40.876 | MGP_SPRETEiJ_G0030347 | Nanos2 | 90 | 40.876 | Mus_spretus |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSMPUG00000019371 | NANOS2 | 90 | 39.130 | Mustela_putorius_furo |
ENSMALG00000005945 | nanos3 | 84 | 43.478 | ENSMPUG00000003282 | NANOS3 | 69 | 43.478 | Mustela_putorius_furo |
ENSMALG00000005945 | nanos3 | 84 | 44.928 | ENSMLUG00000012971 | NANOS3 | 70 | 44.928 | Myotis_lucifugus |
ENSMALG00000005945 | nanos3 | 77 | 33.117 | ENSNGAG00000023539 | Nanos1 | 73 | 33.117 | Nannospalax_galili |
ENSMALG00000005945 | nanos3 | 84 | 42.754 | ENSNGAG00000020486 | Nanos3 | 68 | 42.754 | Nannospalax_galili |
ENSMALG00000005945 | nanos3 | 74 | 32.911 | ENSNBRG00000014018 | - | 77 | 32.911 | Neolamprologus_brichardi |
ENSMALG00000005945 | nanos3 | 91 | 79.091 | ENSNBRG00000023737 | nanos3 | 69 | 79.091 | Neolamprologus_brichardi |
ENSMALG00000005945 | nanos3 | 84 | 43.796 | ENSNLEG00000034574 | NANOS3 | 74 | 42.000 | Nomascus_leucogenys |
ENSMALG00000005945 | nanos3 | 84 | 37.956 | ENSOPRG00000010043 | NANOS2 | 90 | 38.849 | Ochotona_princeps |
ENSMALG00000005945 | nanos3 | 84 | 41.844 | ENSOPRG00000007211 | - | 71 | 41.844 | Ochotona_princeps |
ENSMALG00000005945 | nanos3 | 84 | 44.203 | ENSODEG00000008907 | NANOS3 | 67 | 43.885 | Octodon_degus |
ENSMALG00000005945 | nanos3 | 89 | 33.333 | ENSONIG00000005777 | nanos2 | 96 | 35.220 | Oreochromis_niloticus |
ENSMALG00000005945 | nanos3 | 97 | 51.598 | ENSONIG00000020588 | nanos3 | 100 | 51.598 | Oreochromis_niloticus |
ENSMALG00000005945 | nanos3 | 82 | 42.222 | ENSOANG00000013042 | - | 89 | 42.222 | Ornithorhynchus_anatinus |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSOCUG00000023755 | NANOS2 | 90 | 40.000 | Oryctolagus_cuniculus |
ENSMALG00000005945 | nanos3 | 88 | 48.421 | ENSORLG00000012018 | nanos3 | 95 | 48.421 | Oryzias_latipes |
ENSMALG00000005945 | nanos3 | 74 | 34.437 | ENSORLG00000027849 | nanos1a | 82 | 34.437 | Oryzias_latipes |
ENSMALG00000005945 | nanos3 | 88 | 48.421 | ENSORLG00020004967 | nanos3 | 95 | 48.421 | Oryzias_latipes_hni |
ENSMALG00000005945 | nanos3 | 88 | 49.462 | ENSORLG00015003631 | nanos3 | 94 | 49.462 | Oryzias_latipes_hsok |
ENSMALG00000005945 | nanos3 | 74 | 36.184 | ENSORLG00015000175 | - | 82 | 36.184 | Oryzias_latipes_hsok |
ENSMALG00000005945 | nanos3 | 88 | 47.396 | ENSOMEG00000000922 | nanos3 | 94 | 47.396 | Oryzias_melastigma |
ENSMALG00000005945 | nanos3 | 84 | 43.165 | ENSOGAG00000007190 | NANOS3 | 70 | 43.165 | Otolemur_garnettii |
ENSMALG00000005945 | nanos3 | 84 | 35.766 | ENSOGAG00000032290 | NANOS2 | 90 | 35.766 | Otolemur_garnettii |
ENSMALG00000005945 | nanos3 | 84 | 39.286 | ENSOARG00000011467 | NANOS2 | 90 | 39.286 | Ovis_aries |
ENSMALG00000005945 | nanos3 | 82 | 45.185 | ENSOARG00000008043 | NANOS3 | 66 | 45.185 | Ovis_aries |
ENSMALG00000005945 | nanos3 | 84 | 43.796 | ENSPPAG00000032168 | NANOS3 | 74 | 43.243 | Pan_paniscus |
ENSMALG00000005945 | nanos3 | 84 | 34.228 | ENSPPAG00000020568 | NANOS2 | 90 | 34.228 | Pan_paniscus |
ENSMALG00000005945 | nanos3 | 84 | 38.686 | ENSPPRG00000015211 | NANOS2 | 90 | 40.000 | Panthera_pardus |
ENSMALG00000005945 | nanos3 | 84 | 41.304 | ENSPPRG00000009573 | NANOS3 | 70 | 41.259 | Panthera_pardus |
ENSMALG00000005945 | nanos3 | 80 | 38.636 | ENSPTIG00000015372 | NANOS2 | 86 | 40.000 | Panthera_tigris_altaica |
ENSMALG00000005945 | nanos3 | 84 | 41.304 | ENSPTIG00000000325 | NANOS3 | 70 | 41.259 | Panthera_tigris_altaica |
ENSMALG00000005945 | nanos3 | 84 | 34.228 | ENSPTRG00000011172 | NANOS2 | 90 | 34.228 | Pan_troglodytes |
ENSMALG00000005945 | nanos3 | 84 | 43.537 | ENSPTRG00000010568 | NANOS3 | 74 | 43.243 | Pan_troglodytes |
ENSMALG00000005945 | nanos3 | 84 | 42.667 | ENSPANG00000015037 | NANOS3 | 72 | 42.384 | Papio_anubis |
ENSMALG00000005945 | nanos3 | 84 | 37.143 | ENSPANG00000009327 | NANOS2 | 90 | 37.143 | Papio_anubis |
ENSMALG00000005945 | nanos3 | 76 | 34.884 | ENSPKIG00000006934 | - | 90 | 32.857 | Paramormyrops_kingsleyae |
ENSMALG00000005945 | nanos3 | 84 | 43.293 | ENSPKIG00000009354 | nanos3 | 77 | 43.293 | Paramormyrops_kingsleyae |
ENSMALG00000005945 | nanos3 | 84 | 50.365 | ENSPKIG00000006905 | - | 60 | 50.365 | Paramormyrops_kingsleyae |
ENSMALG00000005945 | nanos3 | 84 | 37.226 | ENSPSIG00000007082 | NANOS2 | 89 | 39.416 | Pelodiscus_sinensis |
ENSMALG00000005945 | nanos3 | 97 | 51.675 | ENSPMGG00000016412 | nanos3 | 100 | 51.675 | Periophthalmus_magnuspinnatus |
ENSMALG00000005945 | nanos3 | 76 | 36.800 | ENSPMGG00000023681 | nanos2 | 71 | 36.800 | Periophthalmus_magnuspinnatus |
ENSMALG00000005945 | nanos3 | 84 | 38.095 | ENSPEMG00000014999 | Nanos2 | 90 | 38.095 | Peromyscus_maniculatus_bairdii |
ENSMALG00000005945 | nanos3 | 97 | 52.153 | ENSPFOG00000020123 | nanos3 | 100 | 52.153 | Poecilia_formosa |
ENSMALG00000005945 | nanos3 | 76 | 36.290 | ENSPLAG00000007786 | NANOS2 | 83 | 36.290 | Poecilia_latipinna |
ENSMALG00000005945 | nanos3 | 95 | 51.942 | ENSPLAG00000010871 | nanos3 | 100 | 51.942 | Poecilia_latipinna |
ENSMALG00000005945 | nanos3 | 75 | 36.585 | ENSPMEG00000005681 | NANOS2 | 80 | 36.585 | Poecilia_mexicana |
ENSMALG00000005945 | nanos3 | 95 | 52.427 | ENSPMEG00000014135 | nanos3 | 100 | 48.544 | Poecilia_mexicana |
ENSMALG00000005945 | nanos3 | 97 | 53.110 | ENSPREG00000000425 | nanos3 | 100 | 53.110 | Poecilia_reticulata |
ENSMALG00000005945 | nanos3 | 76 | 36.290 | ENSPREG00000020465 | nanos2 | 83 | 36.290 | Poecilia_reticulata |
ENSMALG00000005945 | nanos3 | 84 | 36.232 | ENSPPYG00000010138 | NANOS2 | 90 | 36.620 | Pongo_abelii |
ENSMALG00000005945 | nanos3 | 84 | 41.830 | ENSPPYG00000009627 | NANOS3 | 74 | 41.558 | Pongo_abelii |
ENSMALG00000005945 | nanos3 | 84 | 39.130 | ENSPCAG00000005087 | NANOS2 | 90 | 39.130 | Procavia_capensis |
ENSMALG00000005945 | nanos3 | 84 | 42.446 | ENSPCOG00000018814 | NANOS3 | 71 | 42.958 | Propithecus_coquereli |
ENSMALG00000005945 | nanos3 | 84 | 35.766 | ENSPVAG00000001363 | NANOS2 | 90 | 37.410 | Pteropus_vampyrus |
ENSMALG00000005945 | nanos3 | 91 | 78.182 | ENSPNYG00000001788 | nanos3 | 69 | 78.182 | Pundamilia_nyererei |
ENSMALG00000005945 | nanos3 | 74 | 32.911 | ENSPNYG00000001325 | - | 77 | 32.911 | Pundamilia_nyererei |
ENSMALG00000005945 | nanos3 | 82 | 34.043 | ENSPNYG00000004545 | NANOS2 | 92 | 34.043 | Pundamilia_nyererei |
ENSMALG00000005945 | nanos3 | 98 | 34.031 | ENSPNAG00000017440 | nanos2 | 86 | 34.031 | Pygocentrus_nattereri |
ENSMALG00000005945 | nanos3 | 86 | 44.805 | ENSPNAG00000002259 | nanos3 | 83 | 44.805 | Pygocentrus_nattereri |
ENSMALG00000005945 | nanos3 | 84 | 41.304 | ENSRNOG00000031593 | Nanos3 | 69 | 41.304 | Rattus_norvegicus |
ENSMALG00000005945 | nanos3 | 84 | 39.416 | ENSRNOG00000038088 | Nanos2 | 90 | 39.416 | Rattus_norvegicus |
ENSMALG00000005945 | nanos3 | 84 | 42.667 | ENSRBIG00000037377 | NANOS3 | 74 | 44.218 | Rhinopithecus_bieti |
ENSMALG00000005945 | nanos3 | 84 | 36.957 | ENSRBIG00000023726 | NANOS2 | 90 | 36.957 | Rhinopithecus_bieti |
ENSMALG00000005945 | nanos3 | 84 | 36.620 | ENSRROG00000014903 | NANOS2 | 90 | 36.620 | Rhinopithecus_roxellana |
ENSMALG00000005945 | nanos3 | 84 | 44.595 | ENSRROG00000032642 | NANOS3 | 74 | 44.295 | Rhinopithecus_roxellana |
ENSMALG00000005945 | nanos3 | 84 | 41.606 | ENSSBOG00000020970 | NANOS3 | 72 | 45.324 | Saimiri_boliviensis_boliviensis |
ENSMALG00000005945 | nanos3 | 84 | 39.416 | ENSSHAG00000017034 | NANOS2 | 89 | 39.416 | Sarcophilus_harrisii |
ENSMALG00000005945 | nanos3 | 85 | 41.727 | ENSSHAG00000012099 | - | 91 | 41.727 | Sarcophilus_harrisii |
ENSMALG00000005945 | nanos3 | 85 | 41.007 | ENSSHAG00000010756 | - | 91 | 41.007 | Sarcophilus_harrisii |
ENSMALG00000005945 | nanos3 | 88 | 47.436 | ENSSFOG00015013452 | nanos3 | 100 | 47.436 | Scleropages_formosus |
ENSMALG00000005945 | nanos3 | 80 | 34.722 | ENSSMAG00000013915 | nanos2 | 81 | 38.028 | Scophthalmus_maximus |
ENSMALG00000005945 | nanos3 | 97 | 73.810 | ENSSDUG00000002131 | nanos3 | 72 | 76.190 | Seriola_dumerili |
ENSMALG00000005945 | nanos3 | 97 | 50.220 | ENSSLDG00000012674 | nanos3 | 100 | 51.542 | Seriola_lalandi_dorsalis |
ENSMALG00000005945 | nanos3 | 84 | 44.928 | ENSSARG00000008966 | NANOS3 | 69 | 44.928 | Sorex_araneus |
ENSMALG00000005945 | nanos3 | 84 | 39.855 | ENSSPUG00000002566 | NANOS2 | 86 | 39.333 | Sphenodon_punctatus |
ENSMALG00000005945 | nanos3 | 84 | 40.146 | ENSSPUG00000009826 | NANOS3 | 63 | 40.146 | Sphenodon_punctatus |
ENSMALG00000005945 | nanos3 | 97 | 80.000 | ENSSPAG00000008183 | nanos3 | 77 | 80.000 | Stegastes_partitus |
ENSMALG00000005945 | nanos3 | 79 | 38.636 | ENSSPAG00000003887 | nanos2 | 82 | 40.157 | Stegastes_partitus |
ENSMALG00000005945 | nanos3 | 84 | 40.876 | ENSSSCG00000003096 | NANOS2 | 90 | 40.876 | Sus_scrofa |
ENSMALG00000005945 | nanos3 | 84 | 44.203 | ENSSSCG00000013759 | NANOS3 | 71 | 44.203 | Sus_scrofa |
ENSMALG00000005945 | nanos3 | 74 | 40.000 | ENSTNIG00000010543 | - | 84 | 40.000 | Tetraodon_nigroviridis |
ENSMALG00000005945 | nanos3 | 85 | 55.556 | ENSTNIG00000014063 | nanos3 | 97 | 55.556 | Tetraodon_nigroviridis |
ENSMALG00000005945 | nanos3 | 84 | 44.928 | ENSTBEG00000013729 | NANOS3 | 80 | 44.928 | Tupaia_belangeri |
ENSMALG00000005945 | nanos3 | 84 | 39.416 | ENSTTRG00000014315 | NANOS2 | 90 | 39.416 | Tursiops_truncatus |
ENSMALG00000005945 | nanos3 | 84 | 41.606 | ENSTTRG00000008361 | NANOS3 | 72 | 42.336 | Tursiops_truncatus |
ENSMALG00000005945 | nanos3 | 84 | 41.606 | ENSUAMG00000006804 | NANOS3 | 70 | 43.478 | Ursus_americanus |
ENSMALG00000005945 | nanos3 | 84 | 37.956 | ENSUAMG00000023170 | NANOS2 | 90 | 38.028 | Ursus_americanus |
ENSMALG00000005945 | nanos3 | 71 | 39.316 | ENSUMAG00000023699 | NANOS2 | 69 | 39.344 | Ursus_maritimus |
ENSMALG00000005945 | nanos3 | 84 | 41.606 | ENSUMAG00000004703 | NANOS3 | 68 | 43.478 | Ursus_maritimus |
ENSMALG00000005945 | nanos3 | 84 | 44.203 | ENSVPAG00000011497 | NANOS3 | 72 | 44.203 | Vicugna_pacos |
ENSMALG00000005945 | nanos3 | 84 | 42.029 | ENSVVUG00000026757 | NANOS3 | 71 | 41.958 | Vulpes_vulpes |
ENSMALG00000005945 | nanos3 | 84 | 37.956 | ENSVVUG00000002993 | NANOS2 | 90 | 37.956 | Vulpes_vulpes |
ENSMALG00000005945 | nanos3 | 84 | 39.130 | ENSXETG00000021874 | nanos3 | 91 | 39.130 | Xenopus_tropicalis |
ENSMALG00000005945 | nanos3 | 74 | 40.625 | ENSXETG00000024565 | nanos1 | 84 | 40.625 | Xenopus_tropicalis |
ENSMALG00000005945 | nanos3 | 86 | 38.462 | ENSXETG00000014552 | NANOS2 | 94 | 38.462 | Xenopus_tropicalis |
ENSMALG00000005945 | nanos3 | 97 | 50.952 | ENSXCOG00000014426 | nanos3 | 100 | 51.429 | Xiphophorus_couchianus |
ENSMALG00000005945 | nanos3 | 97 | 50.952 | ENSXMAG00000023751 | nanos3 | 100 | 51.429 | Xiphophorus_maculatus |