2024-11-15 16:44:28, GGRNA.v2 : RefSeq release 226 (Sep, 2024)
LOCUS XM_021383663 2230 bp mRNA linear VRT 07-JUN-2017 DEFINITION PREDICTED: Numida meleagris uncharacterized LOC110391707 (LOC110391707), transcript variant X3, mRNA. ACCESSION XM_021383663 VERSION XM_021383663.1 DBLINK BioProject: PRJNA383663 KEYWORDS RefSeq. SOURCE Numida meleagris (helmeted guineafowl) ORGANISM Numida meleagris Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Archelosauria; Archosauria; Dinosauria; Saurischia; Theropoda; Coelurosauria; Aves; Neognathae; Galloanserae; Galliformes; Numididae; Numida. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NW_018364680.1) 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 :: Numida meleagris Annotation Release 100 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..2230 /organism="Numida meleagris" /mol_type="mRNA" /isolate="19003" /db_xref="taxon:8996" /chromosome="Unknown" /sex="male" /tissue_type="Blood" /breed="g44 Domestic line" gene 1..2230 /gene="LOC110391707" /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 16 samples with support for all annotated introns" /db_xref="GeneID:110391707" CDS 873..2210 /gene="LOC110391707" /codon_start=1 /product="uncharacterized protein LOC110391707 isoform X3" /protein_id="XP_021239338.1" /db_xref="GeneID:110391707" /translation="
MPCSSEHSTSLVALQLQMQLNSRCNAAQTTAHLWVQCSSEHSTILGALQLWVQLISGCNAAPSTAHLWVLCSSKHGTSLVAMQLWVQLISACNAASSTASFWVHCSSGCIAAPDAAQLRAHCISGCNAAPCTMQLWVQLVSACNAALSTAHLWVQCSSVCIAAPDAAQLQMQRSSEHSTSLGAVQLWVQLISGCNAAPDAAQLQMQCSSEHSTSLVALQLQMQPSSRCSAAPSCCDAAALTLCSPPSDAALPLLCPWGLPARCSTATAPGCRYSRPCSPLQPPLPPRPHACAVPLHASLIAAMRAPLSPPLSPRSPRVPLHLLHPPPAHGGPGEGEVMVHGAGCWQRCCMRGAAALLRLGTAVVGLWLPVAVLRIGAGVGCMLGAAAVLHCSVVGAAAVLRICTVVGCMVGAAAVLHCTLVLRWCCIAQWCCARWAQQRCCIARW"
ORIGIN
tgcagctctgagcacagtgcagctcctggtgcagtgcagctccgtgtgcaatgcagctctgagcacaacgtagcttctggtgcaatgcagctctgagcacagtgcagctcctggtgcaatgcagctcctggtgcaatacagctctgagcactacgtagctcctggtgcagctccgggtgcagctcagctctgggtgcaatgtagctctgagcacaacgtagctcctcctgcatctctgggtgcggcacagctctgggtgcagctcagctcctggtgcaatgcagctctgagcacagtgcagctcctggtgcagcacatctctgggtgcagtgcagctccgagcacggcatctttctgggtgcagtgcagctctggttgcattgcagctccagatgcagctcagctccagatgcaacgcagctctgagcacagcacacttctgggtgcaatgcagctctgggtgcagcacatctctgggtgcaatgcagctctgagcatggcacacttctgggtgcattgtatctctgggtgcagctcatctctgcatgcaacgcagctctgagcacagcacacttctgggtgcattgtatctctgggtgcagctcatctctgcatgcaacgcagctctgagcacagcacacttctggatgcattgcagctctgggtgcagctcctctctgggtgcaatgcagctccagatgcagcacagctccagatgatgcagcgcagctctgagcacagcatctttctgggtgcagtgcagctctggttgcattgcagctccagatgcagcacagctcagggcacagtagcatctctaggtgcaatgcagctccgtgtgcaatgcagctctgggttcagctcgtctctgcatgccatgcagctctgagcacagcacatctctggttgcattgcagctccagatgcagctcaactccagatgcaacgcagctcagaccacagcacatctctgggtgcaatgcagctccgagcacagcacaattctgggtgcattgcagctctgggtgcagctcatctctgggtgcaatgcagctccaagcacagcacatctctgggtgctgtgcagctccaagcacggcacatctctggttgcaatgcagctctgggtgcagctcatctctgcatgcaatgcagcttcgagcacagcatctttctgggtgcactgcagctctggttgcattgcagctccagatgcagcacagctcagggcgcactgcatctctgggtgcaatgcagctccatgtacaatgcagctctgggttcagctcgtctctgcatgcaacgcggctctgagcacagcacatctctgggtgcaatgcagctctgtttgcattgcagctccagatgcagcacagctccagatgcagcgcagctctgagcacagcacatctctgggtgctgtgcagctctgggttcagctcatctctgggtgcaatgcagctccagatgcagcacagctccagatgcaatgcagctctgagcacagcacatctctggttgcattgcagctccagatgcagcccagctccagatgcagcgcagctccgagctgctgcgatgcagctgcattaactctttgctctcccccctcggacgccgctttgccgctgctttgtccttgggggctgcctgcacggtgcagcaccgccacggccccgggctgcaggtactcccggccctgctccccactgcaacccccacttcccccccgcccccatgcatgcgccgtccccctgcatgcgtccttaattgcagcaatgcgggcgccgctgtcccctcccctgtcgccgcgctccccccgcgtccccttgcatctcttgcacccaccccctgcgcatggtgggcccggggagggtgaggtgatggtgcacggagctgggtgctggcagcggtgctgcatgcgtggtgcagcggcgctgctgcgtctcggcacggcggtggtcggcttgtggctccctgtggcggtgctgcgtatcggcgcgggggtgggttgcatgctgggcgctgcagcggtgctgcattgcagcgtggtgggcgctgcagcggtgctgcgtatctgcacggtggtgggttgcatggtgggcgcggcagcggtgctgcattgcacattggtgctgcgttggtgctgcattgcacagtggtgttgtgcacgctgggcgcagcagcggtgctgcattgcacggtggtgagcatgctgggtgctgcagcg
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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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