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

4f02d0e6-414f-44ce-aabe-b330a82a97f678a17a27-ed56-4d72-b7be-818dcd409cd290f1920a-804a-4e7b-8678-a1e3f4f77725e8927d97-07c1-4ab9-af1e-cc035c7253bc78a17a27-ed56-4d72-b7be-818dcd409cd290f1920a-804a-4e7b-8678-a1e3f4f777258512dec8-5c9a-4845-9d35-d86180343edda68408e7-391e-42a1-9987-5e23ec5a0df690f1920a-804a-4e7b-8678-a1e3f4f777258512dec8-5c9a-4845-9d35-d86180343edd0b26ea61-f807-4223-9c16-243361c710643dc6e6f2-a69a-47c9-b905-062e7fc703008512dec8-5c9a-4845-9d35-d86180343edd0b26ea61-f807-4223-9c16-243361c7106478dbad39-b915-42a4-b5f1-3f720f03a4e1ff1edd9a-71a9-4036-bab8-58a5089474ec0b26ea61-f807-4223-9c16-243361c7106478dbad39-b915-42a4-b5f1-3f720f03a4e107294cea-77cc-40ca-8800-112da2327a8c6c4711a8-8c77-46e7-a836-51ca0bebea8378dbad39-b915-42a4-b5f1-3f720f03a4e107294cea-77cc-40ca-8800-112da2327a8c019e3d12-1671-4696-9fb4-3b08b1749e03ee128036-ad26-4ca5-893c-de668897e47207294cea-77cc-40ca-8800-112da2327a8c019e3d12-1671-4696-9fb4-3b08b1749e032673f781-57ff-4020-913a-b4c92b8c2e8bdfff257d-3758-496a-98b7-16a097dd1293019e3d12-1671-4696-9fb4-3b08b1749e032673f781-57ff-4020-913a-b4c92b8c2e8b37c17592-771e-465f-8e1f-f4f005c34615cbce92a2-da6b-494c-b4a0-6198877c8ad42673f781-57ff-4020-913a-b4c92b8c2e8b37c17592-771e-465f-8e1f-f4f005c346150c4afdb6-47bb-491b-95df-4c4516b42c1b95d476a1-387e-4532-ac97-bb9e5bb3103537c17592-771e-465f-8e1f-f4f005c346150c4afdb6-47bb-491b-95df-4c4516b42c1b0c4afdb6-47bb-491b-95df-4c4516b42c1b86282356-b8db-4c5e-b354-2ad35c6598cfa875bd6b-ba09-41bc-b409-a047b5d6af0df5d145ac-f1de-401d-a33f-95647e6678b586282356-b8db-4c5e-b354-2ad35c6598cfa875bd6b-ba09-41bc-b409-a047b5d6af0d1755fe37-0242-4b01-afab-5a0f43891ab4a291a158-4e9c-4778-a754-7a4d42e8ce9da875bd6b-ba09-41bc-b409-a047b5d6af0d1755fe37-0242-4b01-afab-5a0f43891ab4814da59c-0c72-41f3-84ad-de3d14eca9d11c40766a-d67f-4a35-a286-691d35997a451755fe37-0242-4b01-afab-5a0f43891ab4814da59c-0c72-41f3-84ad-de3d14eca9d1f34e97af-2d46-4871-a086-e128aca435590cb9efcb-685d-42c9-b1e6-891668a9cf3e814da59c-0c72-41f3-84ad-de3d14eca9d1f34e97af-2d46-4871-a086-e128aca43559a725546f-27bc-46a7-97e4-47c5f50fcb34a352b034-8b2c-47cf-b86e-87053e585d1cf34e97af-2d46-4871-a086-e128aca43559a725546f-27bc-46a7-97e4-47c5f50fcb341d74ec1d-77aa-4a74-8d27-bbb593d1ef477d4f9a4a-ffbd-4c54-ae1d-253a00307d8fa725546f-27bc-46a7-97e4-47c5f50fcb341d74ec1d-77aa-4a74-8d27-bbb593d1ef47cfbe8559-a149-44dd-8281-debac8038d7887a3ce5f-2283-451f-8583-fe2a013940671d74ec1d-77aa-4a74-8d27-bbb593d1ef47cfbe8559-a149-44dd-8281-debac8038d7887591940-469c-413c-bda6-f7812c3c34faebe48952-c908-4d9d-8411-5d85a8f5371acfbe8559-a149-44dd-8281-debac8038d7887591940-469c-413c-bda6-f7812c3c34facb4ab4b0-25a8-4837-9acc-5ef3f715f6a3aaa17556-e95d-4d86-9987-0e442f16a3ef87591940-469c-413c-bda6-f7812c3c34facb4ab4b0-25a8-4837-9acc-5ef3f715f6a34ed3862c-77a1-43ad-b280-f9cb558bacf490d3db2d-c718-47d7-b447-90f9f30d41f6cb4ab4b0-25a8-4837-9acc-5ef3f715f6a34ed3862c-77a1-43ad-b280-f9cb558bacf44ed3862c-77a1-43ad-b280-f9cb558bacf427009160-6a17-46ab-94c3-273e5275eb7127009160-6a17-46ab-94c3-273e5275eb715950e1e6-23bd-4ebd-95c4-9ecc0b0d9fa25950e1e6-23bd-4ebd-95c4-9ecc0b0d9fa2e97b890b-c315-4d24-a2e9-08eb6c64ba35e97b890b-c315-4d24-a2e9-08eb6c64ba3535870131-fd98-47b7-902b-89349cb1f38c35870131-fd98-47b7-902b-89349cb1f38c2507f8b8-7713-4270-aec3-a8e11e9022172507f8b8-7713-4270-aec3-a8e11e902217b354f8bc-6d4a-4074-9850-ff81704c45ceb354f8bc-6d4a-4074-9850-ff81704c45ceca18f58d-8c4a-478c-b4d8-6025e12b6228ca18f58d-8c4a-478c-b4d8-6025e12b62282c021059-90eb-4ef8-98f4-4097f9c339092c021059-90eb-4ef8-98f4-4097f9c3390914a7e073-4e66-4b6b-b6bd-99efe0c7fe6914a7e073-4e66-4b6b-b6bd-99efe0c7fe69a2cc28ce-4471-4f20-9a55-40f94c5a644ea2cc28ce-4471-4f20-9a55-40f94c5a644e866e4fbf-3d7b-402d-8535-d58383469f19866e4fbf-3d7b-402d-8535-d58383469f1936b84fc8-a569-42fc-9773-24361c9ce22436b84fc8-a569-42fc-9773-24361c9ce224823ebf19-a96a-4c4d-b0c7-8b2eb381acd9823ebf19-a96a-4c4d-b0c7-8b2eb381acd9e3cf52fa-4455-489a-b24c-900c4ccc3bbee3cf52fa-4455-489a-b24c-900c4ccc3bbe6f091575-0fdd-44f9-98b7-c1b0827f31e490d3db2d-c718-47d7-b447-90f9f30d41f64ed3862c-77a1-43ad-b280-f9cb558bacf46f091575-0fdd-44f9-98b7-c1b0827f31e490d3db2d-c718-47d7-b447-90f9f30d41f6aaa17556-e95d-4d86-9987-0e442f16a3efcb4ab4b0-25a8-4837-9acc-5ef3f715f6a390d3db2d-c718-47d7-b447-90f9f30d41f6aaa17556-e95d-4d86-9987-0e442f16a3efebe48952-c908-4d9d-8411-5d85a8f5371a87591940-469c-413c-bda6-f7812c3c34faaaa17556-e95d-4d86-9987-0e442f16a3efebe48952-c908-4d9d-8411-5d85a8f5371a87a3ce5f-2283-451f-8583-fe2a01394067cfbe8559-a149-44dd-8281-debac8038d78ebe48952-c908-4d9d-8411-5d85a8f5371a87a3ce5f-2283-451f-8583-fe2a013940677d4f9a4a-ffbd-4c54-ae1d-253a00307d8f1d74ec1d-77aa-4a74-8d27-bbb593d1ef4787a3ce5f-2283-451f-8583-fe2a013940677d4f9a4a-ffbd-4c54-ae1d-253a00307d8fa352b034-8b2c-47cf-b86e-87053e585d1ca725546f-27bc-46a7-97e4-47c5f50fcb347d4f9a4a-ffbd-4c54-ae1d-253a00307d8fa352b034-8b2c-47cf-b86e-87053e585d1c0cb9efcb-685d-42c9-b1e6-891668a9cf3ef34e97af-2d46-4871-a086-e128aca43559a352b034-8b2c-47cf-b86e-87053e585d1c0cb9efcb-685d-42c9-b1e6-891668a9cf3e1c40766a-d67f-4a35-a286-691d3599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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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