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Previous release (v1)
2026-11-11 16:01:43, GGRNA.v2 : RefSeq release 233 (Jan, 2026)
LOCUS XR_006176507 2817 bp RNA linear VRT 05-JUN-2024 DEFINITION PREDICTED: Chrysemys picta bellii dicer 1, ribonuclease III (DICER1), transcript variant X18, misc_RNA. ACCESSION XR_006176507 VERSION XR_006176507.2 DBLINK BioProject: PRJNA1113615 KEYWORDS RefSeq. SOURCE Chrysemys picta bellii (western painted turtle) ORGANISM Chrysemys picta bellii Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Archelosauria; Testudinata; Testudines; Cryptodira; Durocryptodira; Testudinoidea; Emydidae; Chrysemys. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_088794) annotated using gene prediction method: Gnomon. Also see: Documentation of NCBI's Annotation Process On Jun 5, 2024 this sequence version replaced XR_006176507.1. ##Genome-Annotation-Data-START## Annotation Provider :: NCBI RefSeq Annotation Status :: Full annotation Annotation Name :: GCF_011386835.1-RS_2024_05 Annotation Pipeline :: NCBI eukaryotic genome annotation pipeline Annotation Software Version :: 10.2 Annotation Method :: Best-placed RefSeq; Gnomon; cmsearch; tRNAscan-SE Features Annotated :: Gene; mRNA; CDS; ncRNA Annotation Date :: 05/29/2024 ##Genome-Annotation-Data-END## FEATURES Location/Qualifiers source 1..2817 /organism="Chrysemys picta bellii" /mol_type="transcribed RNA" /isolate="R12L10" /sub_species="bellii" /db_xref="taxon:8478" /chromosome="4" /sex="male" /tissue_type="blood" /dev_stage="adult" /geo_loc_name="USA: Mcleod County, MN" gene 1..2817 /gene="DICER1" /note="dicer 1, ribonuclease III; Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 14 long SRA reads, 3 Proteins" /db_xref="GeneID:101934083" misc_RNA 1..2817 /gene="DICER1" /product="dicer 1, ribonuclease III, transcript variant X18" /db_xref="GeneID:101934083" ORIGIN
gggctcggggcggtgctctatttgcgtagggccggcctcgcagggggaagggagggcaggaggctgtcccgggcccaggtgaatggaggaacctgacagctggggggagtgaggcggcggcggggaaatggcggcgggagcagcacaatgagacgcggcctgtagcggggaagctctgggctgggtccagtccggaaggttacctagggtgaaacaaaattacaggcttggaaactctggaaaagctcagtagcagcattggagagcagaagcttgcaaatgatgcaattaatgtacaaactgatatcatgatgtcaaaatgcagttcaaagaacacaaacacagagatctcagaaattaaaacgcaggtcaggaagaatccgtcaggaactccagctattgacaatactacatgggttatagaagaagctcttcagaggcagtaagctgtgctggaacaaaaatgcaatgaaaaaaacactggatgaatgaatgaatgaaaagccctgctttgcaatacctcagcatggcaggactgcagcttatgacccctgcttcctcaccaatgggtcctttttttggactgccatggcaacaagaagcaattcatgataacatttacacaccaagaaaatatcaggttgaactgcttgaagcagctttggatcataatacgatagtctgtttaaacactggctcagggaagacttttattgcagtactactcgctaaagagctgtcctatcagatcaggggagacttcaacaaaaatggaaagagaacagttttcttggtcaactcagcaaatcaagttgctcagcaagtgtcagctgtcaggacccattcagatctgaaggtgggggagtattcagttttagaaataattgaatcatggacaaaggagaagtggaatcaagaatttgctaaacatgaggttctggttatgacatgtcatgtcgttttgaacgttttaaaaaatgaatacttatccctgtcaaacattaatcttctggtgtttgatgagtgccatcttgcaatccaggaccatccgtatcaagaaattatgaagatctgtgagaactgtccatcctgtcctcgaatcctgggattaacagcttccattttaaatgggaaatgtgatcctgctgagttagaggagaagattcagaaactggagaaaatcctaaagagcaatgctgaaactgcgactgatttggtggtcttagatagatatacttctcagccatgtgagattgtggtagattgtggaccatacaccgacaaaagtgggctgtatgaaagattgttaaaagaattggatgaagcacttaactttctaaatgactgcaacatatctgtacattcaaaagagagagactctactttaatttctaaacagatactgtcagactgtcgagctgtgttggtggttctgggaccttggtgtgcagataaggtagctggaatgatggtgagagagctacagaagtacatcaaacatgagcaagaggagctgcacaggaaatttttattgtttacagacactttcctaagaaaaatacatgcactgtgtgaagagcacttctcacctgcctcacttgatctgaaatttgtaaccccgaaagtaataaaactgcttgaaatcttgcgcaaatataaaccatatgagcggcagcagtttgaaagtgttgagtggtataataataggaatcaggataattatgtgtcttggagtgattctgaagatgatgatgaggatgaagaaattgaggagaaagagaagccagagacaaatttcccttctccctttactaatattttatgtggaattatttttgtggaaaggagatacacagcagtcgtcctaaacaggttgataaaggaagctggaaaacaggatccagagctggcttacatcagtagcaattttataactggacatggcattggaaagaatcagcctcgtaacaaacagatggaagtggaattcagaaaacaagaagaggtacttagaaaatttcgagcacatgagaccaacttacttattgctactagtattgttgaagagggtgttgacataccaaaatgcaatttggtggttcgttttgatttgcccacagaatatcgttcctatgtgcaatccaaaggaagagccagggcaccaatctcaaattacatcatgttagcagacacagacaaaatcaaaagttttgaagaagatcttaaaacctacaaagcaattgaaaagatcctcagaaacaaatgctcgaagtccgttgatactagtgaaactgaaactgaacccatcgtggatgatgatgatatctttccaccctacgtgttgaggccagatgatagcagtccaagagttacaattaacactgcgattggacacatcaataggtactgcgcaagattaccaagcgatccatttactcatctggctcctaagtgtaaaacccgagaactatctgataatacattttattcaactctctacctgccaatcaactcacctcttcgagcctctgttgttgtgaactggatgatcacttgatgccggttggaaaagaaacggttaagtatgaggaggagcttgatttacatgatgaagaagaaaccagtgttccaggaagaccaggatctacaaaacgaaggcaatgctaccctaaagctattccagaatgtttgagagatagttaccccaaacctgatcatccctgttatctgtatgtaataggaatggtgttaactacccctttgcctgatgagctcaactttaggaggcgaaagctgtatcctcctgaggatacaaca
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Creative Commons Attribution 4.0 International License (CC BY 4.0).
If you use GGRNA in your work, please cite:
Naito Y, Bono H. (2012)
GGRNA: an ultrafast, transcript-oriented search engine for genes and transcripts.
Nucleic Acids Res., 40, W592-W596.
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