2024-05-16 17:27:02, GGRNA.v2 : RefSeq release 222 (Jan, 2024)
LOCUS XM_021462134 713 bp mRNA linear PLN 13-JUN-2017 DEFINITION PREDICTED: Sorghum bicolor protein FLORAL ORGAN NUMBER2-like (LOC110435999), mRNA. ACCESSION XM_021462134 VERSION XM_021462134.1 DBLINK BioProject: PRJNA38691 KEYWORDS RefSeq; includes ab initio. 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_012874.2) 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## ##RefSeq-Attributes-START## ab initio :: 38% of CDS bases ##RefSeq-Attributes-END## FEATURES Location/Qualifiers source 1..713 /organism="Sorghum bicolor" /mol_type="mRNA" /cultivar="BTx623" /db_xref="taxon:4558" /chromosome="5" gene 1..713 /gene="LOC110435999" /note="Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 1 Protein, and 72% coverage of the annotated genomic feature by RNAseq alignments" /db_xref="GeneID:110435999" CDS 1..360 /gene="LOC110435999" /codon_start=1 /product="protein FLORAL ORGAN NUMBER2-like" /protein_id="XP_021317809.1" /db_xref="GeneID:110435999" /translation="
MARIFLCLLAAAYCCIALLPPPAQARRHGLQQQQAAGAGGRRRLHLSPQVPEPRFFVPKQAAAAERRGEPVSMKARPRAAAAWSVRPELRAVPGGPDPLHHHGGSPSRRPEQDRTPRSP"
ORIGIN
atggcccggatcttcctgtgcttattggcggcggcgtactgctgcatcgcgctgcttccgccgccggcgcaggcccgtcgccatggcctgcagcagcagcaggcagccggcgccggcggccgccgcaggcttcatctgtcgccacaagtgccagagccgcgcttctttgttcccaaacaggcggcggcggcggagcgacgcggcgagccggtgagtatgaaggcgaggccgcgggcggcggcagcgtggagcgtgaggccggagctgagggcggtgcccggaggcccggacccgctgcaccaccacggcggcagccccagcaggcggccggagcaggaccgcaccccgcggtccccgtgacgccccccggccggcaagcatggctaggctacctgcgccagaggaccttctttcccggccaccggcgcctgcaactgcaatcctgcacggtcacctcgtgcgctggatcctgtgcgcggggagactctgtggcctcgcctgtggccgcgcgtcctcgccctgcacgtgtctggctggctgcctaccgagttgaggtgagtgaggcactgaggctgctggcactggcatgggctgcgcatggtgaatggttgagggcgttttggtaatatatactgtatgcagttttatgtaccaagtactacgcaatgtatacaaaatggtacgacatgggtttcgtcccatgtggatcgaaa
//
by
@meso_cacase at
DBCLS
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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