2024-11-01 08:32:14, GGRNA.v2 : RefSeq release 226 (Sep, 2024)
LOCUS XR_001780210 6153 bp RNA linear ROD 07-FEB-2024 DEFINITION PREDICTED: Mus musculus predicted gene, 19911 (Gm19911), transcript variant X2, ncRNA. ACCESSION XR_001780210 VERSION XR_001780210.2 DBLINK BioProject: PRJNA169 KEYWORDS RefSeq. SOURCE Mus musculus (house mouse) ORGANISM Mus musculus Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_000077.7) annotated using gene prediction method: Gnomon, supported by mRNA and EST evidence. Also see: Documentation of NCBI's Annotation Process On Aug 8, 2019 this sequence version replaced XR_001780210.1. ##Genome-Annotation-Data-START## Annotation Provider :: NCBI RefSeq Annotation Status :: Updated annotation Annotation Name :: GCF_000001635.27-RS_2024_02 Annotation Pipeline :: NCBI eukaryotic genome annotation pipeline Annotation Software Version :: 10.2 Annotation Method :: Best-placed RefSeq; Gnomon; RefSeqFE; cmsearch; tRNAscan-SE Features Annotated :: Gene; mRNA; CDS; ncRNA Annotation Date :: 02/01/2024 ##Genome-Annotation-Data-END## FEATURES Location/Qualifiers source 1..6153 /organism="Mus musculus" /mol_type="transcribed RNA" /strain="C57BL/6J" /db_xref="taxon:10090" /chromosome="11" gene 1..6153 /gene="Gm19911" /note="predicted gene, 19911; Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 1 mRNA, 2 ESTs, 3 long SRA reads, and 96% coverage of the annotated genomic feature by RNAseq alignments, including 1 sample with support for all annotated introns" /db_xref="GeneID:102633930" /db_xref="MGI:MGI:5012096" ncRNA 1..6153 /ncRNA_class="lncRNA" /gene="Gm19911" /product="predicted gene, 19911, transcript variant X2" /db_xref="GeneID:102633930" /db_xref="MGI:MGI:5012096" 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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