Precursor miRBase

cfa-mir-26a-1 (MI0008058)

Accession MI0008058
Name cfa-mir-26a-1
similar to following miRCarta precursors cfa-34.1
Organism Canis familiaris
Genome CanFam3.1
Location chr23:7,747,073-7,747,133 (+)
miRNA cfa-miR-26a
Sequence (5' -> 3')
(61 nts)
UUCAAGUAAUCCAGGAUAGGCUGUGCAGGUCCCAAUGGGCCUAUUCUUGGUUACUUGCACG
MFE -24.10 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(1 precursors)
cfa-mir-26a-1
Family mir-26 (MIPF0000043)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR26A-1
NCBI Gene 100886048

Predicted Structure

55434966-7150-4ccb-ab22-7ac77d6fc68b399fb5d9-9dc1-4096-8f21-e6ff8796c79e51f0604c-cdce-4479-b6aa-04bf7910162c4f2ea635-9907-4083-9481-e829e17d3a57399fb5d9-9dc1-4096-8f21-e6ff8796c79e51f0604c-cdce-4479-b6aa-04bf7910162cdfa716a2-dcbe-458e-8c91-f010d7d4dfaee982591a-b564-408e-a7d9-b0d9f841808c51f0604c-cdce-4479-b6aa-04bf7910162cdfa716a2-dcbe-458e-8c91-f010d7d4dfae5c3c29f9-74db-4dc7-8729-38a499fc4cdf1659888b-1c96-41f4-b9ce-aa75d8696224dfa716a2-dcbe-458e-8c91-f010d7d4dfae5c3c29f9-74db-4dc7-8729-38a499fc4cdf1f83ffb0-9151-4cf0-ab1e-f25a64dd9bfdb26a0d2a-e565-409d-927f-7346ccbcfad55c3c29f9-74db-4dc7-8729-38a499fc4cdf1f83ffb0-9151-4cf0-ab1e-f25a64dd9bfd8814b4a0-7830-40ca-8c7b-0b1489081a35a7374088-0afc-4e6f-a0fd-56e96855279f1f83ffb0-9151-4cf0-ab1e-f25a64dd9bfd8814b4a0-7830-40ca-8c7b-0b1489081a355e45db45-0a2b-4fdb-a987-41a463411d492b8e28f4-f927-4626-9919-0a8630f7edb98814b4a0-7830-40ca-8c7b-0b1489081a355e45db45-0a2b-4fdb-a987-41a463411d493c4db8e2-c6df-4d19-9276-2eb9b54ce3381f4bfeb7-7c5a-4779-a70d-2d89541ce5c75e45db45-0a2b-4fdb-a987-41a463411d493c4db8e2-c6df-4d19-9276-2eb9b54ce338b2c8e9e9-2653-4c14-a1ad-59c89aeb63755925778c-33b4-4249-a013-208488b8a2fe3c4db8e2-c6df-4d19-9276-2eb9b54ce338b2c8e9e9-2653-4c14-a1ad-59c89aeb6375b1129fb4-3a74-47e5-85e0-be52814a3efdc1f4caca-6569-45b7-a302-f461ac63c251b2c8e9e9-2653-4c14-a1ad-59c89aeb6375b1129fb4-3a74-47e5-85e0-be52814a3efdb1129fb4-3a74-47e5-85e0-be52814a3efdd81e48dd-85a8-4bac-8cc2-cefbfb125a715cea85b2-564b-46f2-9b2b-3631a439d18cbf0c011c-0de2-48a7-9adf-992d262820c9d81e48dd-85a8-4bac-8cc2-cefbfb125a715cea85b2-564b-46f2-9b2b-3631a439d18c1d6c66ca-ca7a-44a3-a434-83bf631531840962fc9d-594f-4f2d-b233-234f0ba700be5cea85b2-564b-46f2-9b2b-3631a439d18c1d6c66ca-ca7a-44a3-a434-83bf63153184bbe49bac-59c9-4a80-b21e-608629f89bcb147d904f-8f96-4d9a-ab87-c5214d5146431d6c66ca-ca7a-44a3-a434-83bf63153184bbe49bac-59c9-4a80-b21e-608629f89bcb29166f5c-dc10-48b8-97ba-3d845bc0f52c3b8a02ec-84e8-437b-80fe-b2cc76a3f83cbbe49bac-59c9-4a80-b21e-608629f89bcb29166f5c-dc10-48b8-97ba-3d845bc0f52c97d35f2d-300f-4ab1-af58-0e81f2715a6140937ff2-deb7-4daf-a2a9-d14b4f716c4129166f5c-dc10-48b8-97ba-3d845bc0f52c97d35f2d-300f-4ab1-af58-0e81f2715a61a77c4f40-cddf-4247-b8ab-6f699f2392fad1a4126b-8c3e-4d1e-9232-ffdf801fc81097d35f2d-300f-4ab1-af58-0e81f2715a61a77c4f40-cddf-4247-b8ab-6f699f2392fab3257769-6eef-46fa-9c80-b2d84e1bd8afd2128638-f472-47f5-bb03-4887dcf603ada77c4f40-cddf-4247-b8ab-6f699f2392fab3257769-6eef-46fa-9c80-b2d84e1bd8afe1897bb0-694d-4eed-89b0-6c59972ae934aa4a433b-7416-49a3-a7d6-9e8e2fb3ef7db3257769-6eef-46fa-9c80-b2d84e1bd8afe1897bb0-694d-4eed-89b0-6c59972ae93456e70ec2-25c3-4c3e-8097-373bebf53e0a2bee0886-0cb2-4864-8533-a7c3ec63fd56e1897bb0-694d-4eed-89b0-6c59972ae93456e70ec2-25c3-4c3e-8097-373bebf53e0a4ad6dec1-858a-4c30-aea9-bea1c81efef4f8d50806-3478-4a33-81bc-dbcf8cb9822356e70ec2-25c3-4c3e-8097-373bebf53e0a4ad6dec1-858a-4c30-aea9-bea1c81efef44ad6dec1-858a-4c30-aea9-bea1c81efef44dc2fc78-6fb7-404f-8073-118529154ac34dc2fc78-6fb7-404f-8073-118529154ac3744e882a-ca96-45b8-9f56-de63eff98400744e882a-ca96-45b8-9f56-de63eff98400311df4db-d8a2-4c3c-ab1f-ad4289ab4218311df4db-d8a2-4c3c-ab1f-ad4289ab4218a105754f-c558-464f-97c7-9e6550916db5a105754f-c558-464f-97c7-9e6550916db5862ab08c-a410-4b20-bd88-261ab5974742862ab08c-a410-4b20-bd88-261ab5974742ba95fd12-9d4b-499d-a8b9-cebd554479ebba95fd12-9d4b-499d-a8b9-cebd554479ebcf29c0e7-8b19-4b8f-b7cf-39d4e9a3ae05cf29c0e7-8b19-4b8f-b7cf-39d4e9a3ae057dcf6ae7-7a84-49fa-b150-861f346777ac7dcf6ae7-7a84-49fa-b150-861f346777ac9c740704-a918-47ac-beff-9f9d9376f40f9c740704-a918-47ac-beff-9f9d9376f40fc129cf6a-905b-4301-8f4e-b0553fd5ccc1c129cf6a-905b-4301-8f4e-b0553fd5ccc182a23b0f-0a4b-431f-a92c-59968ac336b982a23b0f-0a4b-431f-a92c-59968ac336b9440a5f21-0b2d-4ba4-9838-6fd72594ed48440a5f21-0b2d-4ba4-9838-6fd72594ed487b7d7036-1458-47e2-adb4-46641c703bb07b7d7036-1458-47e2-adb4-46641c703bb0aab7ef0c-daa8-48de-a21e-e50096915792aab7ef0c-daa8-48de-a21e-e5009691579299fbaec7-5f07-4753-a5a5-98f1427f1b91f8d50806-3478-4a33-81bc-dbcf8cb982234ad6dec1-858a-4c30-aea9-bea1c81efef499fbaec7-5f07-4753-a5a5-98f1427f1b91f8d50806-3478-4a33-81bc-dbcf8cb982232bee0886-0cb2-4864-8533-a7c3ec63fd5656e70ec2-25c3-4c3e-8097-373bebf53e0af8d50806-3478-4a33-81bc-dbcf8cb982232bee0886-0cb2-4864-8533-a7c3ec63fd56aa4a433b-7416-49a3-a7d6-9e8e2fb3ef7de1897bb0-694d-4eed-89b0-6c59972ae9342bee0886-0cb2-4864-8533-a7c3ec63fd56aa4a433b-7416-49a3-a7d6-9e8e2fb3ef7dd2128638-f472-47f5-bb03-4887dcf603adb3257769-6eef-46fa-9c80-b2d84e1bd8afaa4a433b-7416-49a3-a7d6-9e8e2fb3ef7dd2128638-f472-47f5-bb03-4887dcf603add1a4126b-8c3e-4d1e-9232-ffdf801fc810a77c4f40-cddf-4247-b8ab-6f699f2392fad2128638-f472-47f5-bb03-4887dcf603add1a4126b-8c3e-4d1e-9232-ffdf801fc81040937ff2-deb7-4daf-a2a9-d14b4f716c4197d35f2d-300f-4ab1-af58-0e81f2715a61d1a4126b-8c3e-4d1e-9232-ffdf801fc81040937ff2-deb7-4daf-a2a9-d14b4f716c413b8a02ec-84e8-437b-80fe-b2cc76a3f83c29166f5c-dc10-48b8-97ba-3d845bc0f52c40937ff2-deb7-4daf-a2a9-d14b4f716c413b8a02ec-84e8-437b-80fe-b2cc76a3f83c147d904f-8f96-4d9a-ab87-c5214d51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References

Authors Journal Year Pubmed link Title
1 Friedländer et al. Nat. Biotechnol. 2008 18392026 Discovering microRNAs from deep sequencing data using miRDeep.
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