2024-04-20 15:06:38, GGRNA.v2 : RefSeq release 222 (Jan, 2024)
LOCUS XR_002447259 240 bp RNA linear PLN 13-JUN-2017 DEFINITION PREDICTED: Sorghum bicolor uncharacterized LOC110430061 (LOC110430061), ncRNA. ACCESSION XR_002447259 VERSION XR_002447259.1 DBLINK BioProject: PRJNA38691 KEYWORDS RefSeq. SOURCE Sorghum bicolor (sorghum) ORGANISM Sorghum bicolor Eukaryota; Viridiplantae; Streptophyta; Embryophyta; Tracheophyta; Spermatophyta; Magnoliopsida; Liliopsida; Poales; Poaceae; PACMAD clade; Panicoideae; Andropogonodae; Andropogoneae; Sorghinae; Sorghum. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_012878.2) annotated using gene prediction method: Gnomon. Also see: Documentation of NCBI's Annotation Process ##Genome-Annotation-Data-START## Annotation Provider :: NCBI Annotation Status :: Full annotation Annotation Version :: Sorghum bicolor Annotation Release 101 Annotation Pipeline :: NCBI eukaryotic genome annotation pipeline Annotation Software Version :: 7.4 Annotation Method :: Best-placed RefSeq; Gnomon Features Annotated :: Gene; mRNA; CDS; ncRNA ##Genome-Annotation-Data-END## FEATURES Location/Qualifiers source 1..240 /organism="Sorghum bicolor" /mol_type="transcribed RNA" /cultivar="BTx623" /db_xref="taxon:4558" /chromosome="9" gene 1..240 /gene="LOC110430061" /note="Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 100% coverage of the annotated genomic feature by RNAseq alignments, including 1 sample with support for all annotated introns" /db_xref="GeneID:110430061" ncRNA 1..240 /ncRNA_class="lncRNA" /gene="LOC110430061" /product="uncharacterized LOC110430061" /db_xref="GeneID:110430061" ORIGIN
gacagcatggcatcccgcgccggaggcagctcgacgtcccaacggcgcaggccgttcgtgtgctcaccctcctatccaacaagaagtgggaccttgaactccatacacaggatcaatagctacctggcttttggcgtttgattccaagaagtcgggaaaggaatacaaaacatggcatgctcttgtaaggacttttgttagatgattttgctgcatttctacgatattaggaaaggaaaa
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@meso_cacase at
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This page is licensed under a
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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