Precursor miRBase

cfa-mir-197 (MI0008112)

Accession MI0008112
Name cfa-mir-197
similar to following miRCarta precursors cfa-99.1
Organism Canis familiaris
Genome CanFam3.1
Location chr6:42,271,719-42,271,779 (-)
miRNA cfa-miR-197
Sequence (5' -> 3')
(61 nts)
CGGGUAGAGAGGGCAGUGGGAGGUAAGAGCUCUUCACCCUUCACCACCUUCUCCACCCAGC
MFE -28.00 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(1 precursors)
cfa-mir-197
Family mir-197 (MIPF0000123)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR197
NCBI Gene 100885935

Predicted Structure

db0c46a8-a439-42b0-aba1-3ea3a02d6d928283940c-2b52-46a4-9f21-e8198d1c75c8781be838-e56e-429c-9078-990604eb4740db0c46a8-a439-42b0-aba1-3ea3a02d6d92e6884ef8-df99-467a-9bab-78a30af05ab2dc58d944-f04b-41d3-9f47-538155dd2bf7db0c46a8-a439-42b0-aba1-3ea3a02d6d92e6884ef8-df99-467a-9bab-78a30af05ab271aeabd4-599b-42bc-add1-8c9d4ef22462321974cb-8f25-4b27-9337-33b1cce8aff9e6884ef8-df99-467a-9bab-78a30af05ab271aeabd4-599b-42bc-add1-8c9d4ef22462d26c32a0-9ff1-4d5a-b31f-3fca32391a92d8952d74-75fb-434e-9a25-5e642cd47b3871aeabd4-599b-42bc-add1-8c9d4ef22462d26c32a0-9ff1-4d5a-b31f-3fca32391a92d26c32a0-9ff1-4d5a-b31f-3fca32391a92f9fa944b-be5a-43a8-a31b-37f8cdcd32231eacf968-bae3-4fd9-8e92-684d1491e6a5d7d08de1-26e8-4928-8dfc-985621f0f0cbf9fa944b-be5a-43a8-a31b-37f8cdcd32231eacf968-bae3-4fd9-8e92-684d1491e6a503060368-0ea7-4a8e-9e50-9d3ca896fc9d9a138614-890f-4e64-bb63-dc8284f5461b1eacf968-bae3-4fd9-8e92-684d1491e6a503060368-0ea7-4a8e-9e50-9d3ca896fc9d77731148-cac7-4746-b655-247c771193c3f0b9ac9c-d3c8-46e5-99bd-1ae4f388363a03060368-0ea7-4a8e-9e50-9d3ca896fc9d77731148-cac7-4746-b655-247c771193c367177d21-8aa0-4ffc-9fc3-492b81a8a207f8dd43d9-c28d-4dcc-a9a2-ef61b6a9d88f77731148-cac7-4746-b655-247c771193c367177d21-8aa0-4ffc-9fc3-492b81a8a207669970fd-d854-402e-809a-613298db47dd698c367b-d3be-40d1-b99a-9220a09a56c267177d21-8aa0-4ffc-9fc3-492b81a8a207669970fd-d854-402e-809a-613298db47dda30ee055-e415-4ab6-b9f1-7186fc1f1da4aa4d4d0c-31cd-425f-b0bb-621b25019d74669970fd-d854-402e-809a-613298db47dda30ee055-e415-4ab6-b9f1-7186fc1f1da4853f76bd-cad8-4d79-b869-929e5db0e9c6dd7d6665-e9d4-4f21-98dd-190b99f8341ea30ee055-e415-4ab6-b9f1-7186fc1f1da4853f76bd-cad8-4d79-b869-929e5db0e9c6853f76bd-cad8-4d79-b869-929e5db0e9c6e9447808-cc32-4bb9-bfc8-2650953d2cc1e9447808-cc32-4bb9-bfc8-2650953d2cc1a653446f-5c2e-4033-9341-e90374599c9e497b401d-9590-4eae-8e5b-b1aaf9d7702f6bdda6da-1368-43a9-9d7b-f01a7c2ea7c7a653446f-5c2e-4033-9341-e90374599c9e497b401d-9590-4eae-8e5b-b1aaf9d7702f7ddf70c5-3fd7-4e55-82e6-44831df677f3b21dce54-2865-47ae-9c03-a7fefde6f339497b401d-9590-4eae-8e5b-b1aaf9d7702f7ddf70c5-3fd7-4e55-82e6-44831df677f3c7a142c6-2e0f-448f-98d8-8c5a79702251084dd82f-6a52-4a15-a2fd-7116125970797ddf70c5-3fd7-4e55-82e6-44831df677f3c7a142c6-2e0f-448f-98d8-8c5a79702251318ea05a-6ae9-4848-880f-242d7e890f0278bccd62-b41f-4fa4-ab25-90c793cf220dc7a142c6-2e0f-448f-98d8-8c5a79702251318ea05a-6ae9-4848-880f-242d7e890f0211547ec8-2678-470b-be95-4bb3bdee8f8f6f1239dc-63e4-45af-9bf6-66a8cdfa2415318ea05a-6ae9-4848-880f-242d7e890f0211547ec8-2678-470b-be95-4bb3bdee8f8f11547ec8-2678-470b-be95-4bb3bdee8f8f6e95d758-9b42-40b7-b6cf-eaf6dad39fa6af202ce3-0f61-4ae7-b3e6-51e296cf133837c42c3e-4da1-40ab-be7f-f19c97ec43df6e95d758-9b42-40b7-b6cf-eaf6dad39fa6af202ce3-0f61-4ae7-b3e6-51e296cf13383d15d0bb-7c6f-4025-8010-7085f63b1903602a3b2c-91ba-4169-8f3c-94659ee1f2baaf202ce3-0f61-4ae7-b3e6-51e296cf13383d15d0bb-7c6f-4025-8010-7085f63b19032f06ee71-892f-4497-85aa-1cef7c4e9af2e6c741ec-a050-414d-a1f9-eafcd89b3df23d15d0bb-7c6f-4025-8010-7085f63b19032f06ee71-892f-4497-85aa-1cef7c4e9af27e7aa5be-7394-4bbe-9554-e0622fd6b9c3354cc4a2-bddd-4337-9019-aadbe15f74f62f06ee71-892f-4497-85aa-1cef7c4e9af27e7aa5be-7394-4bbe-9554-e0622fd6b9c340f4596e-a5e6-476a-9cf8-9a420b34e022bb1b25da-7b8c-451e-abfc-610334c646ab7e7aa5be-7394-4bbe-9554-e0622fd6b9c340f4596e-a5e6-476a-9cf8-9a420b34e02266f1cfd7-84b2-49b6-85d6-7080c6ec6afc9d5ae4a2-6c54-453c-becb-321ffb6f2b6540f4596e-a5e6-476a-9cf8-9a420b34e02266f1cfd7-84b2-49b6-85d6-7080c6ec6afc66f1cfd7-84b2-49b6-85d6-7080c6ec6afc188580b8-0f36-4b10-b184-e197a109548d188580b8-0f36-4b10-b184-e197a109548d171861e1-a381-4f57-8c49-286ac466ee95171861e1-a381-4f57-8c49-286ac466ee952aa02658-7742-4895-a67d-ae16f503624c2aa02658-7742-4895-a67d-ae16f503624ce8166582-ceae-4559-a774-ae7d52a19b4e9d5ae4a2-6c54-453c-becb-321ffb6f2b6566f1cfd7-84b2-49b6-85d6-7080c6ec6afce8166582-ceae-4559-a774-ae7d52a19b4e9d5ae4a2-6c54-453c-becb-321ffb6f2b65bb1b25da-7b8c-451e-abfc-610334c646ab40f4596e-a5e6-476a-9cf8-9a420b34e0229d5ae4a2-6c54-453c-becb-321ffb6f2b65bb1b25da-7b8c-451e-abfc-610334c646ab354cc4a2-bddd-4337-9019-aadbe15f74f67e7aa5be-7394-4bbe-9554-e0622fd6b9c3bb1b25da-7b8c-451e-abfc-610334c646ab354cc4a2-bddd-4337-9019-aadbe15f74f6354cc4a2-bddd-4337-9019-aadbe15f74f67b1212d6-9ed7-4921-96b8-5c3fb47580aae6c741ec-a050-414d-a1f9-eafcd89b3df22f06ee71-892f-4497-85aa-1cef7c4e9af27b1212d6-9ed7-4921-96b8-5c3fb47580aae6c741ec-a050-414d-a1f9-eafcd89b3df2602a3b2c-91ba-4169-8f3c-94659ee1f2ba3d15d0bb-7c6f-4025-8010-7085f63b1903e6c741ec-a050-414d-a1f9-eafcd89b3df2602a3b2c-91ba-4169-8f3c-94659ee1f2ba37c42c3e-4da1-40ab-be7f-f19c97ec43dfaf202ce3-0f61-4ae7-b3e6-51e296cf1338602a3b2c-91ba-4169-8f3c-94659ee1f2ba37c42c3e-4da1-40ab-be7f-f19c97ec43df37c42c3e-4da1-40ab-be7f-f19c97ec43dfe471f059-8b48-49f0-987a-8574490995326f1239dc-63e4-45af-9bf6-66a8cdfa241511547ec8-2678-470b-be95-4bb3bdee8f8fe471f059-8b48-49f0-987a-8574490995326f1239dc-63e4-45af-9bf6-66a8cdfa241578bccd62-b41f-4fa4-ab25-90c793cf220d318ea05a-6ae9-4848-880f-242d7e890f026f1239dc-63e4-45af-9bf6-66a8cdfa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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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