2025-02-23 08:25:01, GGRNA.v2 : RefSeq release 228 (Jan, 2025)
LOCUS XR_008258634 2528 bp RNA linear INV 13-JAN-2023 DEFINITION PREDICTED: Mya arenaria uncharacterized LOC128219708 (LOC128219708), transcript variant X2, ncRNA. ACCESSION XR_008258634 VERSION XR_008258634.1 DBLINK BioProject: PRJNA918361 KEYWORDS RefSeq. SOURCE Mya arenaria ORGANISM Mya arenaria Eukaryota; Metazoa; Spiralia; Lophotrochozoa; Mollusca; Bivalvia; Autobranchia; Heteroconchia; Euheterodonta; Imparidentia; Neoheterodontei; Myida; Myoidea; Myidae; Mya. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_069136) annotated using gene prediction method: Gnomon. Also see: Documentation of NCBI's Annotation Process ##Genome-Annotation-Data-START## Annotation Provider :: NCBI RefSeq Annotation Status :: Full annotation Annotation Name :: GCF_026914265.1-RS_2023_01 Annotation Pipeline :: NCBI eukaryotic genome annotation pipeline Annotation Software Version :: 10.1 Annotation Method :: Gnomon; cmsearch; tRNAscan-SE Features Annotated :: Gene; mRNA; CDS; ncRNA ##Genome-Annotation-Data-END## FEATURES Location/Qualifiers source 1..2528 /organism="Mya arenaria" /mol_type="transcribed RNA" /isolate="MELC-2E11" /db_xref="taxon:6604" /chromosome="15" /sex="female" /tissue_type="Siphon/mantle" /geo_loc_name="USA: Larrabe Cove, Machiasport, ME" /collection_date="2018-06-01" gene 1..2528 /gene="LOC128219708" /note="uncharacterized LOC128219708; Derived by automated computational analysis using gene prediction method: Gnomon." /db_xref="GeneID:128219708" ncRNA 1..2528 /ncRNA_class="lncRNA" /gene="LOC128219708" /product="uncharacterized LOC128219708, transcript variant X2" /db_xref="GeneID:128219708" ORIGIN
tttgcggcatggtgacttccggtttatttccgggttatgacgaagtacaataacagcgataaatacggacaaattatcattccagatgattcaaatatgctgatgttaccttctgagatcattactttcaatgaagaacagcactacaattggttgggctgctagattggtagatccgtgatggacagctaatacctgacatgctattgttagtttggcatctattgcttactcgataaaacagcctcaagtcaacgttgtaagtgctccgtcaccatgatgtgtcactgtggtacgaaaggattgggatcaagtatgctaactgctatgcggattgttgagagcaatatgatgagggaaggcaggaaagagtcttattgtctgtatgtactcaaaatggtgttcgagaggtggcgaataaggatttgcttgcagcattgaagaacgataatgtgcaaagaacaaaaagaaaggttctcttaacatagaaagtaaagaaataatgaagttcacactacagctgacaatctggatgtgtttcctttgttatttgaacatgatttattttaacttacataacaagtatgcactacaataatgaatatctatattaatagtaatgatattccatttaacatggatatggaaaaaatattctttgacaatgcaagataagataaatccagacatagtcagagtcttcagttaacttggatgtgttccatttgtttcatccacatacttgaaatttgtcttgtaactacgtgtatttttatgaggttaagtggtgagtaatcaacttttatcataacattttcttatttggggatagtatgtatttatattgacactatgtgtaccttcattctcttcatttttctgttcaaaacaagaccaaatgtgtcattttagtttaaccattttaaactgtatttattatactcttcattaaatacctattcgtatattatcaaacattttaacaaatttaaatgtgtttgttattatgtctccccctctctgggggagacatattgtttttgccctgtccgtcagtccggtagtccggtagtccgtcagtccgtccgtacgtcacacttcgtttccgatcgataactggaaaaccgcatgacctaggatcaccaaacttggtagggaggttggtcatgaggtgtagaagatcccctattgtttttggggtcactaggtcaaaggtcaaggtcgcggcgacccccaatgtaaaaaacatttccgctcaatatcttgagaatggtttgacctaggttcaccaaacttggtagggaggttgatcatgaggtttagaaaactcctatattttggggggtcacaaggtcaaaggtcaacgtcgctgtgacctctaatgtaaaaaaatattttcgtgcaatatcaggagaatgctttgatctaggttcaccaaactatgaagtgaggttggtcatgatgtctagttcctattgattttgattgaaatcagtaggtcaaaggtcaaggtcactgtgaccttgaggtgaagaaacagtttctgctcagtaactaaagaacgcttgcacccaggaacttcatacttggtatgctagtgggtcatgactagaagatgacccctattgattttggggtcactaggttaaagatcaaggtcaccctgatcttgaggtgaagaaactgtttccgctcaataactaaagatccttgggtctaggaacttcatacttggtatgctagttggtcatgactagtagatgactccaattgattttgagatcagtaggtcaaaggtcaaggtcaccctgaccttgaggtgaagaaacggtttcggctctataactaaataacgcttgcacccaggaacttcatacttggtatgctagttggtcatgactagtagatgactccaattgattttgagatcagtaggtcaaaggtcaaggtcaccctgaccttgaggtgaaggaacggtttccgctctataactaaataacgcttgcacccaggaacttcatacttggtatgctagttggtcatgactagtagatgactcctattgattttgagatcagtaggtcaaggtcaccatgaccttgaggtgaagaaacggtttctgctcaataactcaagaatgcttacacccaggaacttcatacttggtatgctagttggtcatgactagtagataactcttattgattttgcgatcagttggtcaaaggtcaaggtcactgaccttgaggtgaagaaacggtttctgctcaatagctcaagaacgcttacacccaggaacttcatacttggtatgtcagttagtcatgactaattgatggcccaaatttcatgtccatctaatgtttgctttcagttaaggctgtatagattctaatgtttatcttaagttgaggctgtatagattccaatgtttgtcttaagctgaggctgtatagatcctaatgtttgtcttcagttgaggctgttcagttgaagctgtatagattctaatgtttgtcttcagttga
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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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