Precursor miRBase

cfa-mir-16-2 (MI0008084)

Accession MI0008084
Name cfa-mir-16-2
similar to following miRCarta precursors cfa-61.1
Organism Canis familiaris
Genome CanFam3.1
Location chr34:26,460,807-26,460,871 (+)
miRNA cfa-miR-16
Sequence (5' -> 3')
(65 nts)
UAGCAGCACGUAAAUAUUGGCGUAGUGAAAUAAAAAUUAAACACCAAUAUUAUUGUGCUGCUUUA
MFE -21.80 kcal/mol
first miRBase version 11.0
last miRBase version 21.0
Clusters (10 kb)
(2 precursors)
cfa-mir-15b
cfa-mir-16-2
Family mir-15 (MIPF0000006)
Experiments
experiment Pubmed link
Illumina 18392026
External DBs
Gene symbol MIR16-2
NCBI Gene 100886128

Predicted Structure

608a17ce-6fd9-4204-b1fc-4a32773fd018103f1561-5510-4fe0-b7c8-377dfb4367a92a8eb046-7e2d-450d-83b9-cac8c075aeb9608a17ce-6fd9-4204-b1fc-4a32773fd018771918c6-a445-40dc-b63f-0ab0a6f6f643ea50eac0-931f-409b-a516-6528b059576a608a17ce-6fd9-4204-b1fc-4a32773fd018771918c6-a445-40dc-b63f-0ab0a6f6f643f4c587d8-ebe2-4871-b814-a64592219552824e885f-a682-4deb-943d-e1596451e832771918c6-a445-40dc-b63f-0ab0a6f6f643f4c587d8-ebe2-4871-b814-a64592219552ad063083-3486-410b-92df-0af277179c3b665ff8f1-5b0e-49ed-ac00-a15c5730dbc2f4c587d8-ebe2-4871-b814-a64592219552ad063083-3486-410b-92df-0af277179c3b43224e74-c439-4e8b-97a1-397617a7e7c039f5b750-36ab-4090-a4b0-1b5258b35b95ad063083-3486-410b-92df-0af277179c3b43224e74-c439-4e8b-97a1-397617a7e7c0131e24f5-8555-42d8-914c-1dff9036e06288b44d7f-175a-42d2-a1b2-7398cf32b60a43224e74-c439-4e8b-97a1-397617a7e7c0131e24f5-8555-42d8-914c-1dff9036e06277a63fd2-e459-489d-8fc3-afbdeda90043d495c045-2f5c-4651-9ffd-249fe96451ef131e24f5-8555-42d8-914c-1dff9036e06277a63fd2-e459-489d-8fc3-afbdeda90043f1f4ac20-c9ac-479b-85ee-1372c5a0f39bca43a9e3-8f43-4370-a1bc-94ae78d41ef277a63fd2-e459-489d-8fc3-afbdeda90043f1f4ac20-c9ac-479b-85ee-1372c5a0f39b3a82a680-23dc-42cc-aa1c-554f4199eab0f05a3065-6ddb-4ac0-80d6-464c54da2755f1f4ac20-c9ac-479b-85ee-1372c5a0f39b3a82a680-23dc-42cc-aa1c-554f4199eab03a82a680-23dc-42cc-aa1c-554f4199eab00803f47a-72c0-434a-b951-cba1a91c93a80803f47a-72c0-434a-b951-cba1a91c93a804eb1847-748d-4334-b507-45d1f18ad1872b3d527a-65b4-439d-a049-be7f4438d4275dd478f7-31e0-444e-82ed-4ea591ffb30904eb1847-748d-4334-b507-45d1f18ad1872b3d527a-65b4-439d-a049-be7f4438d427d9069360-3fce-41e1-b6c7-f2faf8413999aa23c382-458e-4e12-b9f4-55eb3b5a48892b3d527a-65b4-439d-a049-be7f4438d427d9069360-3fce-41e1-b6c7-f2faf8413999d90a0a39-e7f7-419a-85ac-f4afaa03367133b5f5ce-0312-46c1-8225-961980587a92d9069360-3fce-41e1-b6c7-f2faf8413999d90a0a39-e7f7-419a-85ac-f4afaa033671d651be7e-36ec-4b47-8502-747836d4ede707c53eda-78fa-4fc1-aa50-3bf12cb0dc87d90a0a39-e7f7-419a-85ac-f4afaa033671d651be7e-36ec-4b47-8502-747836d4ede71dda4310-defa-4cee-8515-916251a999a2f247ad75-94af-466b-8517-887526247a29d651be7e-36ec-4b47-8502-747836d4ede71dda4310-defa-4cee-8515-916251a999a201800064-884d-449a-bd09-346472fec1f5539efb0f-9ac5-46d1-8ef6-2a8728854b251dda4310-defa-4cee-8515-916251a999a201800064-884d-449a-bd09-346472fec1f539317441-5d5e-4a23-992c-bcddbe3f20dcc7dc151f-6b6e-4482-8490-0a7a0714f9d801800064-884d-449a-bd09-346472fec1f539317441-5d5e-4a23-992c-bcddbe3f20dceb335d3a-89c8-4e01-b26a-8a1141428bcf954f89d2-40fa-4b44-8736-4ebfef8784e739317441-5d5e-4a23-992c-bcddbe3f20dceb335d3a-89c8-4e01-b26a-8a1141428bcfeb335d3a-89c8-4e01-b26a-8a1141428bcfe23e1a21-170a-4e90-83eb-3e340b0c1a18072a4cc0-1556-4b90-b6db-1e6f0e83a7eccdfac32c-2dad-4d0e-b00d-b509c375733de23e1a21-170a-4e90-83eb-3e340b0c1a18072a4cc0-1556-4b90-b6db-1e6f0e83a7ecd538b315-5ad6-479c-a05a-4fbc2a13a5365d9d1b86-13fd-4060-9d50-b053e4c19209072a4cc0-1556-4b90-b6db-1e6f0e83a7ecd538b315-5ad6-479c-a05a-4fbc2a13a536d538b315-5ad6-479c-a05a-4fbc2a13a53623a01974-4fb6-4419-8e69-318b1e40ade823a01974-4fb6-4419-8e69-318b1e40ade858b1c2be-f7b1-46d5-a7dd-3c0154337e9758b1c2be-f7b1-46d5-a7dd-3c0154337e9746c978d9-4083-4206-b075-cdb2e35bacdd46c978d9-4083-4206-b075-cdb2e35bacdd2de2bb3f-ccf9-4c39-aea4-5e5f35d4807c2de2bb3f-ccf9-4c39-aea4-5e5f35d4807cbf3c7744-3cd8-491c-86f7-c51476b59b3cbf3c7744-3cd8-491c-86f7-c51476b59b3c73ea9096-492e-4582-8b0d-9355191edf9573ea9096-492e-4582-8b0d-9355191edf95fdf7275b-0db8-44dc-be69-4f9c12c9f6e1fdf7275b-0db8-44dc-be69-4f9c12c9f6e10580a057-a911-490d-861d-fc4a9ce910550580a057-a911-490d-861d-fc4a9ce91055851eaf21-678a-4e27-8e63-b22b29812448851eaf21-678a-4e27-8e63-b22b298124482237736b-6a08-4a45-85d1-f21052b894f52237736b-6a08-4a45-85d1-f21052b894f56355b321-a09d-4db1-8e0c-9ddef398134f6355b321-a09d-4db1-8e0c-9ddef398134f81265952-b9c6-461e-8fe5-90b0e958bb2f81265952-b9c6-461e-8fe5-90b0e958bb2fbaaaf127-9675-4c66-bc55-76322dcd5344baaaf127-9675-4c66-bc55-76322dcd53449f5c0ffa-ca6c-4d1b-a968-006599cd4c489f5c0ffa-ca6c-4d1b-a968-006599cd4c48e2cfbd2d-4e49-4cbe-b1db-b1739f35832be2cfbd2d-4e49-4cbe-b1db-b1739f35832b01c6fff3-443a-4cff-a9c4-c8e4901ad9d601c6fff3-443a-4cff-a9c4-c8e4901ad9d6d6c2e09a-71bd-4c0e-bc76-caa62d748a155d9d1b86-13fd-4060-9d50-b053e4c19209d538b315-5ad6-479c-a05a-4fbc2a13a536d6c2e09a-71bd-4c0e-bc76-caa62d748a155d9d1b86-13fd-4060-9d50-b053e4c19209cdfac32c-2dad-4d0e-b00d-b509c375733d072a4cc0-1556-4b90-b6db-1e6f0e83a7ec5d9d1b86-13fd-4060-9d50-b053e4c19209cdfac32c-2dad-4d0e-b00d-b509c375733dcdfac32c-2dad-4d0e-b00d-b509c375733d8271155d-6948-496c-808a-cce4e23eb2af954f89d2-40fa-4b44-8736-4ebfef8784e7eb335d3a-89c8-4e01-b26a-8a1141428bcf8271155d-6948-496c-808a-cce4e23eb2af954f89d2-40fa-4b44-8736-4ebfef8784e7c7dc151f-6b6e-4482-8490-0a7a0714f9d839317441-5d5e-4a23-992c-bcddbe3f20dc954f89d2-40fa-4b44-8736-4ebfef8784e7c7dc151f-6b6e-4482-8490-0a7a0714f9d8539efb0f-9ac5-46d1-8ef6-2a8728854b2501800064-884d-449a-bd09-346472fec1f5c7dc151f-6b6e-4482-8490-0a7a0714f9d8539efb0f-9ac5-46d1-8ef6-2a8728854b25f247ad75-94af-466b-8517-88752624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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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