Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSACLP00000040071 | zf-nanos | PF05741.13 | 5.1e-24 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSACLT00000041014 | - | 354 | - | ENSACLP00000040071 | 117 (aa) | - | - |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSACLG00000027005 | nanos2 | 68 | 35.185 | ENSG00000187556 | NANOS3 | 62 | 35.185 | Homo_sapiens |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSG00000188425 | NANOS2 | 80 | 40.909 | Homo_sapiens |
ENSACLG00000027005 | nanos2 | 79 | 41.958 | ENSAPOG00000020274 | nanos2 | 86 | 44.755 | Acanthochromis_polyacanthus |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSAMEG00000012972 | NANOS3 | 61 | 36.449 | Ailuropoda_melanoleuca |
ENSACLG00000027005 | nanos2 | 93 | 49.635 | ENSACIG00000007105 | nanos2 | 92 | 49.635 | Amphilophus_citrinellus |
ENSACLG00000027005 | nanos2 | 79 | 46.212 | ENSAOCG00000009429 | nanos2 | 85 | 48.092 | Amphiprion_ocellaris |
ENSACLG00000027005 | nanos2 | 79 | 44.118 | ENSAPEG00000019139 | nanos2 | 85 | 45.926 | Amphiprion_percula |
ENSACLG00000027005 | nanos2 | 78 | 41.912 | ENSATEG00000009393 | nanos2 | 84 | 44.118 | Anabas_testudineus |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000027440 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 37.615 | ENSACAG00000017474 | - | 78 | 41.284 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 41.000 | ENSACAG00000024432 | - | 79 | 41.000 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 39.216 | ENSACAG00000024434 | - | 77 | 43.137 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 39.048 | ENSACAG00000025505 | - | 80 | 39.048 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000024972 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000026478 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000023823 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.235 | ENSACAG00000026334 | - | 77 | 42.157 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000025307 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.462 | ENSACAG00000028048 | - | 79 | 43.269 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 35.135 | ENSACAG00000026660 | - | 80 | 39.450 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 50 | 56.897 | ENSACAG00000027867 | - | 72 | 56.897 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSACAG00000026350 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 41.000 | ENSACAG00000022207 | - | 79 | 41.000 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSACAG00000024524 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000025655 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000023855 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000024370 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.462 | ENSACAG00000014502 | - | 79 | 43.269 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000023391 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000023428 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000026757 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000025093 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000027995 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 37.500 | ENSACAG00000024003 | - | 79 | 42.308 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 40.196 | ENSACAG00000022236 | - | 77 | 44.118 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 55.000 | ENSACAG00000022918 | - | 78 | 39.450 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 42.000 | ENSACAG00000023519 | - | 77 | 42.000 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 37.615 | ENSACAG00000022861 | - | 80 | 41.284 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 40.196 | ENSACAG00000022088 | - | 77 | 44.118 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000024364 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000024568 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.462 | ENSACAG00000022321 | - | 79 | 43.269 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.462 | ENSACAG00000022790 | - | 82 | 43.269 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.462 | ENSACAG00000025632 | - | 79 | 43.269 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 41.176 | ENSACAG00000027983 | - | 77 | 41.176 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 40.196 | ENSACAG00000026716 | - | 77 | 44.118 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSACAG00000025452 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 37.615 | ENSACAG00000024218 | - | 78 | 41.284 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000024504 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 55.000 | ENSACAG00000027212 | - | 78 | 39.450 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000024639 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 37.615 | ENSACAG00000026679 | - | 78 | 41.284 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 39.216 | ENSACAG00000025729 | - | 77 | 43.137 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 35.780 | ENSACAG00000027728 | - | 78 | 39.450 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000022675 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 42.000 | ENSACAG00000026819 | - | 77 | 42.000 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000027265 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSACAG00000005197 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 38.235 | ENSACAG00000024995 | - | 77 | 42.157 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSACAG00000027568 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000023803 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 40.196 | ENSACAG00000022322 | - | 77 | 40.196 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000010268 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000025260 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 40.196 | ENSACAG00000025044 | - | 77 | 40.196 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000027196 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 39.048 | ENSACAG00000023813 | - | 80 | 39.048 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000023650 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 51 | 56.667 | ENSACAG00000026771 | - | 80 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000026317 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000024274 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSACAG00000022041 | - | 78 | 40.367 | Anolis_carolinensis |
ENSACLG00000027005 | nanos2 | 68 | 36.538 | ENSANAG00000025042 | NANOS3 | 62 | 36.538 | Aotus_nancymaae |
ENSACLG00000027005 | nanos2 | 78 | 32.624 | ENSAMXG00000042358 | nanos2 | 84 | 32.624 | Astyanax_mexicanus |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSBTAG00000000399 | NANOS3 | 62 | 35.514 | Bos_taurus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSBTAG00000047505 | NANOS2 | 80 | 40.000 | Bos_taurus |
ENSACLG00000027005 | nanos2 | 68 | 33.621 | ENSCJAG00000004388 | NANOS3 | 64 | 33.621 | Callithrix_jacchus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSCJAG00000012141 | NANOS2 | 78 | 40.000 | Callithrix_jacchus |
ENSACLG00000027005 | nanos2 | 68 | 39.640 | ENSCAFG00000024541 | NANOS2 | 80 | 39.640 | Canis_familiaris |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSCAFG00000016592 | NANOS3 | 56 | 35.514 | Canis_familiaris |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSCAFG00020006694 | NANOS3 | 56 | 35.514 | Canis_lupus_dingo |
ENSACLG00000027005 | nanos2 | 68 | 39.640 | ENSCAFG00020001772 | NANOS2 | 80 | 39.640 | Canis_lupus_dingo |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSCHIG00000007837 | NANOS3 | 61 | 35.514 | Capra_hircus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSCHIG00000012637 | NANOS2 | 80 | 40.000 | Capra_hircus |
ENSACLG00000027005 | nanos2 | 68 | 34.545 | ENSTSYG00000026709 | NANOS3 | 62 | 34.545 | Carlito_syrichta |
ENSACLG00000027005 | nanos2 | 67 | 41.176 | ENSCAPG00000016771 | NANOS2 | 78 | 41.176 | Cavia_aperea |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSCAPG00000014339 | NANOS3 | 69 | 36.449 | Cavia_aperea |
ENSACLG00000027005 | nanos2 | 68 | 35.135 | ENSCPOG00000020727 | NANOS3 | 62 | 35.135 | Cavia_porcellus |
ENSACLG00000027005 | nanos2 | 67 | 41.176 | ENSCPOG00000014969 | NANOS2 | 78 | 41.176 | Cavia_porcellus |
ENSACLG00000027005 | nanos2 | 68 | 35.780 | ENSCCAG00000036253 | NANOS3 | 62 | 35.780 | Cebus_capucinus |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSCATG00000018951 | NANOS2 | 80 | 40.909 | Cercocebus_atys |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSCLAG00000015139 | NANOS3 | 61 | 36.036 | Chinchilla_lanigera |
ENSACLG00000027005 | nanos2 | 67 | 41.748 | ENSCLAG00000001832 | NANOS2 | 79 | 41.748 | Chinchilla_lanigera |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSCSAG00000019629 | NANOS2 | 80 | 40.909 | Chlorocebus_sabaeus |
ENSACLG00000027005 | nanos2 | 68 | 38.739 | ENSCHOG00000001937 | NANOS2 | 80 | 38.739 | Choloepus_hoffmanni |
ENSACLG00000027005 | nanos2 | 72 | 42.982 | ENSCPBG00000007141 | NANOS2 | 76 | 42.982 | Chrysemys_picta_bellii |
ENSACLG00000027005 | nanos2 | 67 | 36.697 | ENSCPBG00000023819 | NANOS3 | 77 | 36.697 | Chrysemys_picta_bellii |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSCANG00000012014 | NANOS2 | 80 | 40.909 | Colobus_angolensis_palliatus |
ENSACLG00000027005 | nanos2 | 68 | 34.259 | ENSCANG00000034930 | NANOS3 | 63 | 34.259 | Colobus_angolensis_palliatus |
ENSACLG00000027005 | nanos2 | 67 | 43.269 | ENSCGRG00001013726 | Nanos2 | 79 | 43.269 | Cricetulus_griseus_chok1gshd |
ENSACLG00000027005 | nanos2 | 68 | 37.383 | ENSCGRG00001023851 | Nanos3 | 61 | 37.383 | Cricetulus_griseus_chok1gshd |
ENSACLG00000027005 | nanos2 | 68 | 37.383 | ENSCGRG00000017734 | Nanos3 | 60 | 37.383 | Cricetulus_griseus_crigri |
ENSACLG00000027005 | nanos2 | 67 | 43.269 | ENSCGRG00000019170 | Nanos2 | 79 | 43.269 | Cricetulus_griseus_crigri |
ENSACLG00000027005 | nanos2 | 79 | 37.589 | ENSCSEG00000017157 | nanos2 | 88 | 37.589 | Cynoglossus_semilaevis |
ENSACLG00000027005 | nanos2 | 68 | 47.115 | ENSCVAG00000006947 | nanos2 | 77 | 47.115 | Cyprinodon_variegatus |
ENSACLG00000027005 | nanos2 | 79 | 36.090 | ENSDARG00000116802 | nanos2 | 91 | 38.346 | Danio_rerio |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSDNOG00000044718 | NANOS2 | 80 | 39.091 | Dasypus_novemcinctus |
ENSACLG00000027005 | nanos2 | 67 | 39.091 | ENSEASG00005014235 | NANOS2 | 80 | 39.091 | Equus_asinus_asinus |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSEASG00005015313 | NANOS3 | 64 | 36.449 | Equus_asinus_asinus |
ENSACLG00000027005 | nanos2 | 67 | 39.091 | ENSECAG00000006033 | NANOS2 | 80 | 39.091 | Equus_caballus |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSECAG00000016293 | NANOS3 | 61 | 36.449 | Equus_caballus |
ENSACLG00000027005 | nanos2 | 79 | 35.484 | ENSEEUG00000009900 | NANOS3 | 55 | 35.484 | Erinaceus_europaeus |
ENSACLG00000027005 | nanos2 | 68 | 41.441 | ENSEEUG00000009930 | NANOS2 | 80 | 41.441 | Erinaceus_europaeus |
ENSACLG00000027005 | nanos2 | 70 | 44.068 | ENSELUG00000019091 | - | 82 | 44.068 | Esox_lucius |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSFCAG00000027661 | NANOS2 | 80 | 40.909 | Felis_catus |
ENSACLG00000027005 | nanos2 | 67 | 40.952 | ENSFDAG00000016342 | NANOS2 | 79 | 40.952 | Fukomys_damarensis |
ENSACLG00000027005 | nanos2 | 68 | 33.333 | ENSFDAG00000018459 | NANOS3 | 61 | 33.333 | Fukomys_damarensis |
ENSACLG00000027005 | nanos2 | 67 | 46.154 | ENSFHEG00000012835 | NANOS2 | 85 | 46.154 | Fundulus_heteroclitus |
ENSACLG00000027005 | nanos2 | 68 | 38.318 | ENSGMOG00000015980 | - | 95 | 38.318 | Gadus_morhua |
ENSACLG00000027005 | nanos2 | 68 | 44.304 | ENSGMOG00000016541 | nanos3 | 69 | 44.304 | Gadus_morhua |
ENSACLG00000027005 | nanos2 | 71 | 46.789 | ENSGAFG00000006000 | - | 69 | 49.541 | Gambusia_affinis |
ENSACLG00000027005 | nanos2 | 68 | 40.952 | ENSGACG00000004930 | - | 95 | 40.952 | Gasterosteus_aculeatus |
ENSACLG00000027005 | nanos2 | 69 | 37.500 | ENSGAGG00000005591 | - | 62 | 37.500 | Gopherus_agassizii |
ENSACLG00000027005 | nanos2 | 67 | 50.000 | ENSGAGG00000009500 | NANOS2 | 64 | 50.000 | Gopherus_agassizii |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSGGOG00000013447 | NANOS2 | 80 | 40.909 | Gorilla_gorilla |
ENSACLG00000027005 | nanos2 | 81 | 56.164 | ENSHBUG00000016772 | nanos2 | 88 | 59.589 | Haplochromis_burtoni |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSHGLG00000019378 | NANOS3 | 59 | 36.036 | Heterocephalus_glaber_female |
ENSACLG00000027005 | nanos2 | 68 | 36.036 | ENSHGLG00100012652 | NANOS3 | 59 | 36.036 | Heterocephalus_glaber_male |
ENSACLG00000027005 | nanos2 | 81 | 43.158 | ENSHCOG00000014790 | nanos3 | 65 | 43.158 | Hippocampus_comes |
ENSACLG00000027005 | nanos2 | 67 | 43.137 | ENSSTOG00000021724 | NANOS2 | 78 | 43.137 | Ictidomys_tridecemlineatus |
ENSACLG00000027005 | nanos2 | 68 | 33.333 | ENSSTOG00000024797 | NANOS3 | 60 | 35.185 | Ictidomys_tridecemlineatus |
ENSACLG00000027005 | nanos2 | 68 | 33.333 | ENSJJAG00000000545 | Nanos3 | 60 | 33.333 | Jaculus_jaculus |
ENSACLG00000027005 | nanos2 | 74 | 42.424 | ENSLBEG00000018836 | nanos2 | 87 | 42.424 | Labrus_bergylta |
ENSACLG00000027005 | nanos2 | 68 | 33.945 | ENSLAFG00000008480 | NANOS3 | 61 | 33.945 | Loxodonta_africana |
ENSACLG00000027005 | nanos2 | 67 | 39.823 | ENSLAFG00000014090 | NANOS2 | 80 | 39.823 | Loxodonta_africana |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSMFAG00000017215 | NANOS2 | 80 | 40.909 | Macaca_fascicularis |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSMMUG00000008103 | NANOS2 | 80 | 40.909 | Macaca_mulatta |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSMNEG00000004633 | NANOS2 | 80 | 40.909 | Macaca_nemestrina |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSMLEG00000001810 | NANOS2 | 80 | 40.909 | Mandrillus_leucophaeus |
ENSACLG00000027005 | nanos2 | 52 | 50.820 | ENSMLEG00000033135 | NANOS3 | 62 | 34.545 | Mandrillus_leucophaeus |
ENSACLG00000027005 | nanos2 | 67 | 47.368 | ENSMAMG00000005577 | NANOS2 | 75 | 47.368 | Mastacembelus_armatus |
ENSACLG00000027005 | nanos2 | 81 | 56.164 | ENSMZEG00005021987 | - | 88 | 59.589 | Maylandia_zebra |
ENSACLG00000027005 | nanos2 | 81 | 60.959 | ENSMZEG00005028148 | - | 88 | 64.384 | Maylandia_zebra |
ENSACLG00000027005 | nanos2 | 81 | 61.644 | ENSMZEG00005028154 | - | 88 | 65.068 | Maylandia_zebra |
ENSACLG00000027005 | nanos2 | 81 | 61.644 | ENSMZEG00005003043 | - | 88 | 65.068 | Maylandia_zebra |
ENSACLG00000027005 | nanos2 | 81 | 60.959 | ENSMZEG00005024641 | - | 88 | 64.384 | Maylandia_zebra |
ENSACLG00000027005 | nanos2 | 68 | 37.383 | ENSMAUG00000008396 | Nanos3 | 60 | 37.383 | Mesocricetus_auratus |
ENSACLG00000027005 | nanos2 | 68 | 34.579 | ENSMICG00000030950 | NANOS3 | 61 | 34.579 | Microcebus_murinus |
ENSACLG00000027005 | nanos2 | 67 | 44.660 | ENSMOCG00000001985 | Nanos2 | 79 | 44.660 | Microtus_ochrogaster |
ENSACLG00000027005 | nanos2 | 68 | 38.318 | ENSMOCG00000000059 | Nanos3 | 60 | 38.318 | Microtus_ochrogaster |
ENSACLG00000027005 | nanos2 | 68 | 42.478 | ENSMMOG00000009827 | nanos2 | 76 | 42.478 | Mola_mola |
ENSACLG00000027005 | nanos2 | 68 | 40.385 | ENSMODG00000023964 | - | 79 | 40.385 | Monodelphis_domestica |
ENSACLG00000027005 | nanos2 | 68 | 63.333 | ENSMALG00000006299 | nanos2 | 69 | 63.333 | Monopterus_albus |
ENSACLG00000027005 | nanos2 | 69 | 38.776 | ENSMALG00000011545 | - | 59 | 38.776 | Monopterus_albus |
ENSACLG00000027005 | nanos2 | 67 | 41.667 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 79 | 41.667 | Mus_caroli |
ENSACLG00000027005 | nanos2 | 68 | 39.252 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 60 | 39.252 | Mus_caroli |
ENSACLG00000027005 | nanos2 | 68 | 39.252 | ENSMUSG00000056155 | Nanos3 | 61 | 39.252 | Mus_musculus |
ENSACLG00000027005 | nanos2 | 67 | 41.667 | ENSMUSG00000051965 | Nanos2 | 79 | 41.667 | Mus_musculus |
ENSACLG00000027005 | nanos2 | 68 | 39.252 | MGP_PahariEiJ_G0022902 | Nanos3 | 60 | 39.252 | Mus_pahari |
ENSACLG00000027005 | nanos2 | 67 | 41.667 | MGP_PahariEiJ_G0021123 | Nanos2 | 79 | 41.667 | Mus_pahari |
ENSACLG00000027005 | nanos2 | 68 | 39.252 | MGP_SPRETEiJ_G0032414 | Nanos3 | 60 | 39.252 | Mus_spretus |
ENSACLG00000027005 | nanos2 | 67 | 39.815 | MGP_SPRETEiJ_G0030347 | Nanos2 | 79 | 39.815 | Mus_spretus |
ENSACLG00000027005 | nanos2 | 67 | 39.091 | ENSMPUG00000019371 | NANOS2 | 80 | 39.091 | Mustela_putorius_furo |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSMPUG00000003282 | NANOS3 | 60 | 36.449 | Mustela_putorius_furo |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSMLUG00000012971 | NANOS3 | 61 | 35.514 | Myotis_lucifugus |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSNGAG00000020486 | Nanos3 | 60 | 35.514 | Nannospalax_galili |
ENSACLG00000027005 | nanos2 | 81 | 89.474 | ENSNBRG00000018838 | NANOS2 | 78 | 89.474 | Neolamprologus_brichardi |
ENSACLG00000027005 | nanos2 | 68 | 35.185 | ENSNLEG00000034574 | NANOS3 | 62 | 35.185 | Nomascus_leucogenys |
ENSACLG00000027005 | nanos2 | 67 | 39.474 | ENSOPRG00000010043 | NANOS2 | 80 | 39.474 | Ochotona_princeps |
ENSACLG00000027005 | nanos2 | 68 | 34.579 | ENSODEG00000008907 | NANOS3 | 59 | 34.579 | Octodon_degus |
ENSACLG00000027005 | nanos2 | 81 | 52.740 | ENSONIG00000005777 | nanos2 | 88 | 56.849 | Oreochromis_niloticus |
ENSACLG00000027005 | nanos2 | 68 | 40.708 | ENSOANG00000013042 | - | 80 | 40.708 | Ornithorhynchus_anatinus |
ENSACLG00000027005 | nanos2 | 67 | 37.838 | ENSOCUG00000023755 | NANOS2 | 80 | 37.838 | Oryctolagus_cuniculus |
ENSACLG00000027005 | nanos2 | 78 | 42.748 | ENSORLG00000009335 | nanos2 | 85 | 45.038 | Oryzias_latipes |
ENSACLG00000027005 | nanos2 | 78 | 43.511 | ENSORLG00020013284 | nanos2 | 85 | 45.802 | Oryzias_latipes_hni |
ENSACLG00000027005 | nanos2 | 78 | 43.511 | ENSORLG00015013150 | nanos2 | 85 | 45.038 | Oryzias_latipes_hsok |
ENSACLG00000027005 | nanos2 | 81 | 40.816 | ENSOMEG00000008866 | NANOS1 | 53 | 40.816 | Oryzias_melastigma |
ENSACLG00000027005 | nanos2 | 68 | 47.009 | ENSOMEG00000006512 | nanos2 | 79 | 45.299 | Oryzias_melastigma |
ENSACLG00000027005 | nanos2 | 68 | 34.579 | ENSOGAG00000007190 | NANOS3 | 61 | 34.579 | Otolemur_garnettii |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSOGAG00000032290 | NANOS2 | 80 | 40.000 | Otolemur_garnettii |
ENSACLG00000027005 | nanos2 | 52 | 50.820 | ENSOARG00000008043 | NANOS3 | 59 | 33.645 | Ovis_aries |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSOARG00000011467 | NANOS2 | 80 | 40.000 | Ovis_aries |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSPPAG00000020568 | NANOS2 | 80 | 40.909 | Pan_paniscus |
ENSACLG00000027005 | nanos2 | 68 | 35.185 | ENSPPAG00000032168 | NANOS3 | 62 | 35.185 | Pan_paniscus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSPPRG00000015211 | NANOS2 | 80 | 40.909 | Panthera_pardus |
ENSACLG00000027005 | nanos2 | 68 | 37.383 | ENSPPRG00000009573 | NANOS3 | 61 | 37.383 | Panthera_pardus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSPTIG00000015372 | NANOS2 | 79 | 40.909 | Panthera_tigris_altaica |
ENSACLG00000027005 | nanos2 | 68 | 37.383 | ENSPTIG00000000325 | NANOS3 | 61 | 37.383 | Panthera_tigris_altaica |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSPTRG00000011172 | NANOS2 | 80 | 40.909 | Pan_troglodytes |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSPANG00000009327 | NANOS2 | 80 | 40.909 | Papio_anubis |
ENSACLG00000027005 | nanos2 | 69 | 30.088 | ENSPKIG00000006905 | - | 55 | 30.088 | Paramormyrops_kingsleyae |
ENSACLG00000027005 | nanos2 | 67 | 39.167 | ENSPKIG00000006934 | - | 82 | 40.000 | Paramormyrops_kingsleyae |
ENSACLG00000027005 | nanos2 | 71 | 42.202 | ENSPSIG00000007082 | NANOS2 | 83 | 44.954 | Pelodiscus_sinensis |
ENSACLG00000027005 | nanos2 | 85 | 41.259 | ENSPMGG00000023681 | nanos2 | 85 | 41.259 | Periophthalmus_magnuspinnatus |
ENSACLG00000027005 | nanos2 | 67 | 42.991 | ENSPEMG00000014999 | Nanos2 | 79 | 42.991 | Peromyscus_maniculatus_bairdii |
ENSACLG00000027005 | nanos2 | 67 | 51.000 | ENSPLAG00000007786 | NANOS2 | 81 | 51.000 | Poecilia_latipinna |
ENSACLG00000027005 | nanos2 | 71 | 49.524 | ENSPMEG00000005681 | NANOS2 | 83 | 49.524 | Poecilia_mexicana |
ENSACLG00000027005 | nanos2 | 67 | 52.128 | ENSPREG00000020465 | nanos2 | 81 | 52.128 | Poecilia_reticulata |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSPPYG00000010138 | NANOS2 | 80 | 40.909 | Pongo_abelii |
ENSACLG00000027005 | nanos2 | 67 | 39.091 | ENSPCAG00000005087 | NANOS2 | 80 | 39.091 | Procavia_capensis |
ENSACLG00000027005 | nanos2 | 68 | 34.579 | ENSPCOG00000018814 | NANOS3 | 62 | 34.579 | Propithecus_coquereli |
ENSACLG00000027005 | nanos2 | 68 | 35.780 | ENSPVAG00000017538 | NANOS3 | 62 | 35.780 | Pteropus_vampyrus |
ENSACLG00000027005 | nanos2 | 67 | 39.091 | ENSPVAG00000001363 | NANOS2 | 80 | 40.000 | Pteropus_vampyrus |
ENSACLG00000027005 | nanos2 | 81 | 81.132 | ENSPNYG00000004545 | NANOS2 | 91 | 81.132 | Pundamilia_nyererei |
ENSACLG00000027005 | nanos2 | 67 | 35.294 | ENSPNAG00000002259 | nanos3 | 64 | 35.294 | Pygocentrus_nattereri |
ENSACLG00000027005 | nanos2 | 67 | 42.593 | ENSRNOG00000038088 | Nanos2 | 79 | 42.593 | Rattus_norvegicus |
ENSACLG00000027005 | nanos2 | 68 | 39.252 | ENSRNOG00000031593 | Nanos3 | 60 | 39.252 | Rattus_norvegicus |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSRBIG00000023726 | NANOS2 | 80 | 40.909 | Rhinopithecus_bieti |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSRROG00000014903 | NANOS2 | 80 | 40.909 | Rhinopithecus_roxellana |
ENSACLG00000027005 | nanos2 | 68 | 32.759 | ENSSBOG00000020970 | NANOS3 | 64 | 32.759 | Saimiri_boliviensis_boliviensis |
ENSACLG00000027005 | nanos2 | 67 | 39.623 | ENSSHAG00000017034 | NANOS2 | 79 | 39.623 | Sarcophilus_harrisii |
ENSACLG00000027005 | nanos2 | 68 | 39.048 | ENSSHAG00000012099 | - | 80 | 39.048 | Sarcophilus_harrisii |
ENSACLG00000027005 | nanos2 | 68 | 37.143 | ENSSHAG00000010756 | - | 80 | 37.143 | Sarcophilus_harrisii |
ENSACLG00000027005 | nanos2 | 67 | 51.111 | ENSSFOG00015007586 | - | 75 | 51.111 | Scleropages_formosus |
ENSACLG00000027005 | nanos2 | 74 | 44.526 | ENSSMAG00000013915 | nanos2 | 82 | 44.526 | Scophthalmus_maximus |
ENSACLG00000027005 | nanos2 | 81 | 42.069 | ENSSDUG00000016576 | nanos2 | 88 | 45.517 | Seriola_dumerili |
ENSACLG00000027005 | nanos2 | 81 | 41.781 | ENSSLDG00000013795 | nanos2 | 88 | 45.205 | Seriola_lalandi_dorsalis |
ENSACLG00000027005 | nanos2 | 68 | 34.579 | ENSSARG00000008966 | NANOS3 | 60 | 34.579 | Sorex_araneus |
ENSACLG00000027005 | nanos2 | 68 | 41.905 | ENSSPUG00000009826 | NANOS3 | 56 | 41.905 | Sphenodon_punctatus |
ENSACLG00000027005 | nanos2 | 69 | 40.351 | ENSSPUG00000002566 | NANOS2 | 79 | 40.351 | Sphenodon_punctatus |
ENSACLG00000027005 | nanos2 | 78 | 42.029 | ENSSPAG00000003887 | nanos2 | 89 | 42.029 | Stegastes_partitus |
ENSACLG00000027005 | nanos2 | 67 | 40.909 | ENSSSCG00000003096 | NANOS2 | 80 | 40.909 | Sus_scrofa |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSSSCG00000013759 | NANOS3 | 62 | 36.449 | Sus_scrofa |
ENSACLG00000027005 | nanos2 | 84 | 47.368 | ENSTRUG00000017633 | nanos2 | 96 | 48.246 | Takifugu_rubripes |
ENSACLG00000027005 | nanos2 | 68 | 37.719 | ENSTNIG00000010543 | - | 85 | 37.719 | Tetraodon_nigroviridis |
ENSACLG00000027005 | nanos2 | 68 | 34.579 | ENSTBEG00000013729 | NANOS3 | 70 | 34.579 | Tupaia_belangeri |
ENSACLG00000027005 | nanos2 | 68 | 38.889 | ENSTTRG00000008361 | NANOS3 | 64 | 38.889 | Tursiops_truncatus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSTTRG00000014315 | NANOS2 | 80 | 40.000 | Tursiops_truncatus |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSUAMG00000006804 | NANOS3 | 61 | 36.449 | Ursus_americanus |
ENSACLG00000027005 | nanos2 | 67 | 40.000 | ENSUAMG00000023170 | NANOS2 | 80 | 40.000 | Ursus_americanus |
ENSACLG00000027005 | nanos2 | 62 | 38.095 | ENSUMAG00000023699 | NANOS2 | 69 | 38.095 | Ursus_maritimus |
ENSACLG00000027005 | nanos2 | 68 | 36.449 | ENSUMAG00000004703 | NANOS3 | 60 | 36.449 | Ursus_maritimus |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSVPAG00000011497 | NANOS3 | 63 | 35.514 | Vicugna_pacos |
ENSACLG00000027005 | nanos2 | 68 | 39.640 | ENSVVUG00000002993 | NANOS2 | 80 | 39.640 | Vulpes_vulpes |
ENSACLG00000027005 | nanos2 | 68 | 35.514 | ENSVVUG00000026757 | NANOS3 | 63 | 35.514 | Vulpes_vulpes |
ENSACLG00000027005 | nanos2 | 72 | 37.168 | ENSXETG00000024565 | nanos1 | 88 | 37.168 | Xenopus_tropicalis |
ENSACLG00000027005 | nanos2 | 68 | 33.333 | ENSXETG00000021874 | nanos3 | 81 | 33.333 | Xenopus_tropicalis |