2024-11-19 20:29:46, GGRNA.v2 : RefSeq release 226 (Sep, 2024)
LOCUS XR_010733313 3046 bp RNA linear INV 05-JUL-2024 DEFINITION PREDICTED: Euwallacea fornicatus visceral mesodermal armadillo-repeats (vimar), transcript variant X2, misc_RNA. ACCESSION XR_010733313 VERSION XR_010733313.1 DBLINK BioProject: PRJNA1131291 KEYWORDS RefSeq. SOURCE Euwallacea fornicatus ORGANISM Euwallacea fornicatus Eukaryota; Metazoa; Ecdysozoa; Arthropoda; Hexapoda; Insecta; Pterygota; Neoptera; Endopterygota; Coleoptera; Polyphaga; Cucujiformia; Curculionidae; Scolytinae; Euwallacea. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_089563) 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_040115645.1-RS_2024_07 Annotation Pipeline :: NCBI eukaryotic genome annotation pipeline Annotation Software Version :: 10.3 Annotation Method :: Gnomon; cmsearch; tRNAscan-SE Features Annotated :: Gene; mRNA; CDS; ncRNA Annotation Date :: 07/03/2024 ##Genome-Annotation-Data-END## FEATURES Location/Qualifiers source 1..3046 /organism="Euwallacea fornicatus" /mol_type="transcribed RNA" /isolate="EFF26" /host="Acer negundo" /db_xref="taxon:995702" /chromosome="23" /sex="female" /tissue_type="Whole body" /dev_stage="adult" /geo_loc_name="Australia: Western Australia, Perth" /collection_date="2022-10-10" /collected_by="DPIRD WA" /identified_by="DPIRD WA" gene 1..3046 /gene="vimar" /note="visceral mesodermal armadillo-repeats; Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 8 Proteins" /db_xref="GeneID:136346506" misc_RNA 1..3046 /gene="vimar" /product="visceral mesodermal armadillo-repeats, transcript variant X2" /experiment="COORDINATES: polyA evidence [ECO:0006239]" /db_xref="GeneID:136346506" ORIGIN
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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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