2024-04-20 10:45:16, GGRNA.v2 : RefSeq release 222 (Jan, 2024)
LOCUS XR_002340060 4795 bp RNA linear MAM 13-MAY-2017 DEFINITION PREDICTED: Sus scrofa uncharacterized LOC110257452 (LOC110257452), ncRNA. ACCESSION XR_002340060 VERSION XR_002340060.1 DBLINK BioProject: PRJNA28993 KEYWORDS RefSeq. SOURCE Sus scrofa (pig) ORGANISM Sus scrofa Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Laurasiatheria; Artiodactyla; Suina; Suidae; Sus. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_010459.5) annotated using gene prediction method: Gnomon, supported by mRNA and EST evidence. Also see: Documentation of NCBI's Annotation Process ##Genome-Annotation-Data-START## Annotation Provider :: NCBI Annotation Status :: Full annotation Annotation Version :: Sus scrofa Annotation Release 106 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..4795 /organism="Sus scrofa" /mol_type="transcribed RNA" /isolate="TJ Tabasco" /db_xref="taxon:9823" /chromosome="17" /sex="female" /breed="Duroc" gene 1..4795 /gene="LOC110257452" /note="Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 3 mRNAs, 167 ESTs, 353 long SRA reads, and 99% coverage of the annotated genomic feature by RNAseq alignments" /db_xref="GeneID:110257452" ncRNA 1..4795 /ncRNA_class="lncRNA" /gene="LOC110257452" /product="uncharacterized LOC110257452" /db_xref="GeneID:110257452" ORIGIN
ggaacgtttccgtgccggaaccttggctcgaggggcccggagcggtgcgaaggcacttccggtgccccttctcgcttgccagtgaagagaactgccaagtcagttccggcagagagcgcggtgagaagcggatcgcggccttctgtcccggggccctccgggccctctggcctcggccagcggtgaactggggggccctgggacaggcctgaactgtgtcctgcagagctccagagtcctcgcggccgtccatggcccaggccttggagtagcagcgaacctctcccccacccccacctccgcgaccaaatggcggcggaccccgcgagcccaggcccagccgatcgccgggtctcttggcccagcgctgcagggcttaggcgaagcctctgccaaatcgcctttgggagtccagcgtggcagggcgagaagaatggcggccactcgaacgccatggagagccgttagagcctcgagggcccgagaaggctgccacccttgggccttggagccgtgcggatttgggacctgtggtggccgctctgtcccggttggacgagacctcacctcatccggtaaacgacggacaaaggcctttacgggcccggaagaaaaggaatgtcttctggaaatgactttgagatggaattgtttgaccacctctgaagtgacatctggagagacagagatccacgtttgttcagtgggttagaggacatggagtggaagatttcgaggaagaagaaggttctgtgccagactcgtcatacttagaagacatttgcatattataaccattgttttgtgtgtgcattttattcctcacttctatatatagttgacaataagtactttttggaaatatctaggctttctagattttctgaagtgcctgacatatgttaaaagtagaggtagtaaaaagacatctttttgtgtatgatagaaatatctttttgttaaaactcatatgaaatattgtttatttggggggaggggggttggccaaaccacctctttgaatagtgcattgtgtttgtgcactggttcaaggtcgggggaggagaaggaagtgcaaagagctctttgctagtgtttatagcaaggcaaggttaaccattgttctttttacgtgcatttcgtttcactttgtgtgtatatagtgtacataacggacaaatgagtcctaatttacaacatctggtccttctagatgttaaagaggttgccagtgtatgatagaaatagagatagtaaactaataccatcctatacattttgtgtcctgaaaatgtgagcattatagccctctgggttggtagaggggggagagaagagaaggggggtggtcttatgctagaatgctcacatttggaagacactttcagattataactgttacatgtcgcagtttattgagactgctctgtatatagtggacaaattaagtccttatttgaaacatctagtccacctagatgtttagaagtgcccgacgtatgttaaatgtagaggtagtaaaatatcactttgtaaatagcttttagctaaaattcataggaaatattgtcttttgaaaatggaattgttaaaccacctctgtgaccagtagtttggagtaggtgagaaggaaagaattgcaaaaggtaatatgctagtgtgtttggacgttttcagacaaaaccattttttgtatgttaggtgcattttgcttttctgtgtatatagtgtatataatggacaaatgagtcctaattttgcaacatctagtctctagatgttaaagaggttgccagtgtatgacaaaatagtaagatttacatattttttacactttgtgttgaaatttataggaaagcttgtcttctgtagatgacttttggatatgaatttgttcattcacctctaagcattacacattgcctgtacttgtccactgaattcatggtggagagaaggaagtgagggagggaatgcttcaggccaaaatggtcatatttagaagatacctcagattataaccattgttacacgtgtgcaattttatttaacagtgctgtgtacttagtgaacaagtaagttcttatatgaaatatctagtcttgctgggtatttagaagtgcttgatgtatttaaaagtagtagtagtaaaataatgcttcttgtaaatagcttttaaaaacatgggaaatgctgtctttggaaatggaattgttaaacctcctctgaccagtatactctgctcattcattgggttgatggaagtgggagggaagattgcaaaaacatgttttgctagtgtgtactaaaaaatttcaccttattggttgctctatgttacatgcattttgtttaactttactgtatatattatgtatatactggacaaatgggttccaattttataatatctagtctctagatattaaaaagaggttgccaatgtatgacaaaagtagagttagtaaactaacacattttgtacacttgtgttaaattccattgaaaggctgtcttctgaaaaggacctttggaaataaaattgtaaatcacatctaagtgacacatgtgcctgaactcagccactgttggatggacagtgggaaggaagagttaggagcaatgaagcattctaataagctagaatgtttctgtgtagaagacactttcatatataaccatttttacatgtgtgtggtttattcaacactactgtgtatatatagtggacaaacttaagtccttatttgaaacatctagtctttctagatgtttagaagtgcacaaagtatgttaaaagtagaggtagtgaaataacattttgtagatatctttttgttaaaattcatatgaaatattgccttttagaaatggaataatcaaaccacctctttgagcagtgcacattattttatttgtgctggttcaaggaggaagaaaaaagtacaaagggctttataccaatatgtttatagttaggagagattaaccatcgtcctgtatgtctgtgttttgctttacttagttgtgtatatagtgtacataaaggacagatgtccaaatttacatctagtcttcctagatgttaaagaggttgccaatgtatgacaaaagtagttagaaaataaatacattgtgaatactttgttaaaattcatacgaaaaattgttctgaaagcaactggaggagatgaaattgttagaatcccctctaagcatttcagatgctttattacacttgcttactaggttgatagagatgagaaggggaagggttctaggcccgtgttcctgtttagaagacactttgagattatagcctttgtgtgcagtttattcaatactacatgtatgtatagtaaactaaaatccttatttgaaacatctagtctttctagatgtttaaaagtgtacaacatatgctaaaagtagataattaacaccttttaagatttttttctgttaattcataggaatggtcatatttggggaatgggattgttaaacttgagccttggagagtatgctgactgatgactggggtggtgggggttgggggggacagggaaggaagctcagagaagggttctgtgctcatgagtctttagaaagcttcagattttctaaccattgttctgtttgtgtgtttgagttaatattgctgtgtattaaagaataaacaagtcccagtgtccaaagtatattgaaagtagaagtagtaaaataattcctttataaatgcccttttgtgggtttttaggaagggctatgacttctgggagtgtctatgttaatccaccttttgtagctagatgtagtcctgtagttagtcactgaaatgctggaagagggttaagaggaagggtgaagggaagggctcttggctattatctccatatctagacagttttagtttataaccataggtctatatgtgcatttttgtaaagtttctgtttattgtggacaaggttcattctttatcttgcaacatctatgtcccaggataacatatgataaaaagtagagttagtgagttaaccaatttgtaaataaatatctttgttacaatgatataaaacagcatcttggacatgaattgttaaagtctcagaaatgtatgtcaggacttgttcactaggttggcagcagaggggcagaaggaaagtataaagggagggttgtatgcgaatgtgttcatatttatattttggtgataaccattgatgtgggtgcatcttttggctgtaatataagcaattcagtggaaacatacctccttgctaatattttaatagtttggataattagtcctcttagaggcattatactttatgtactctgttgctttatgtgtcatttttaattgaacataagggaatgtagtattttaatcataactctaccaatatctttatcttgaagcctgttgctatttttgtcttttatgtaattttatcgctaagaaaggcaggattacattttttttccttccagatcgagttggtgtagtatattcttggttatcaaaataaaatactcatatagctttgggactttgaaatggtaaatattcatgatgtgtgaaaaagcatgatacataactatgatcttaattacataaaaatggatgcttcattgtgtagatacacaaacgaaatctagaaggacatatcaacctgtaaactgcttgattatggatgactttgttttttgcttcctatttgcttgtgtttttcagtttcctattatgcacatgttaacttttaagaaataaattttacttaaaaaagcc
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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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