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2024-11-01 08:19:07, GGRNA.v2 : RefSeq release 226 (Sep, 2024)

LOCUS       XR_390562               3634 bp    RNA     linear   ROD 07-FEB-2024
DEFINITION  PREDICTED: Mus musculus predicted gene, 33106 (Gm33106), ncRNA.
ACCESSION   XR_390562
VERSION     XR_390562.4
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_000070.7) annotated using gene prediction method: Gnomon.
            Also see:
                Documentation of NCBI's Annotation Process
            
            On Sep 21, 2020 this sequence version replaced XR_390562.3.
            
            ##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..3634
                     /organism="Mus musculus"
                     /mol_type="transcribed RNA"
                     /strain="C57BL/6J"
                     /db_xref="taxon:10090"
                     /chromosome="4"
     gene            1..3634
                     /gene="Gm33106"
                     /note="predicted gene, 33106; Derived by automated
                     computational analysis using gene prediction method:
                     Gnomon. Supporting evidence includes similarity to: 58
                     long SRA reads, and 72% coverage of the annotated genomic
                     feature by RNAseq alignments, including 2 samples with
                     support for all annotated introns"
                     /db_xref="GeneID:102635882"
                     /db_xref="MGI:MGI:5592265"
     ncRNA           1..3634
                     /ncRNA_class="lncRNA"
                     /gene="Gm33106"
                     /product="predicted gene, 33106"
                     /db_xref="GeneID:102635882"
                     /db_xref="MGI:MGI:5592265"
ORIGIN      
ttgtttgtttttttgtttgtttttcgagacagggtttctctttataaccctggctatcctgaaactcactttgtagaccaggctggcctcgaactcagaaatccacctgcctctgcctctgcctcctgagtgctgggattaaaggcgtgcgccaccatgcccagcttaagtccctttttactgggttcagtgtcatttgtctttgatttgcctcacaggcctggcacagtaagtactctataccaagaagagatttaatgactgtattttggccaccatggccctctttatttctctgctataaaactgggagcagcatacagcccagtcacatactgggcagagaacaacttatttctaactttgcccagcatttatgtgacagggactcttttaagcattgagtggatctgcataaaaagcctataatagttattaaattcactttgtaggtgggcaagctaaggcagaataaacttgaagtggttaacaaagattttggaatgtagtagtaaaaaggtcaatccaggatccctgctcttacccaacatgtacgagagcgtctgagcccaagaaagtgaaatgaaaacccatcagcaacagtaagaaccacttttacgacacggtaggtaacaacataaaacaatatggtgtgtgtgtgtgtgcatggaaccactggttacctctgaagagacatacatactatgtatttataaaacacataaaataaattatttcatcccatccatcaaacttcattgacagaattaaaaaataaactcaggtaaagtggaaaagaaatatatttagaataaaaatgaaatatacaaataatttggagacatgggcagactatacacataaaattatactaaaggatattttaaaagtcactaataaatgcattaaaagaacactttcctaccggaaagtctcagttaatagagaggtggtcctttttccaaaacaagttttgagaattaacacaatctcaaatcagtttactccaagaggaagcaatatggcttcaacaaacaagcatttgcacaggaattggtaaatcttacaaggtaattccaaggcacaccttttgatgtgggatagcaagtaatacacctggcagcaatgatgatttatgcttcttagaaccagtaagaatgtcttccttaaattttgttcgtaataggaagggctgagtgataaatgggacgagaagggcagctatgttgattcaaattatagaaaatgtacatagtatgaccattttttattacatatagggaatataatttaatgaaagtgagctgagaggcatgagagaaggtttcctgctggctttctacatgtctgcaaagaacatgtatgacctcagtgacctgtactcaaaatttcactccacaatgagtcttgtgccagacacatggacggtgagcagggcagcaaggaaaccggcgtgcacttgcgcgcacacccacacctgcagtttctggtgataatccgcatggtgagatcatcactgaagccgcattgtggtcccgcagggagagcaagggtcgagcaggagatgccaggtcactgtgacctgcgggggttcaggtcccgcgacaacctcctgaacgcagtgcggcacgggcgacgcctggcacaagaacctgagcgaaagctgcgacacacccatccatccactctggggaaaataatagtgactgaaaacccctagcttggcatctagggccctcgctgaccttggggagtcccctctgcccaccggcctcagtttgcccaccttcaggcagagactgcgagtccagcgcagtggcgttccaggcgcgggcgttcccgggagcgggaggggcgccttcctccggtcaccttcgctggaggacgcgccccgccgaggacgggcggaggggcccccgctcccgggcagccattagggggtagcgctcaggccggccgctgtgtggggctcccgggctgcatcctcgggcctggtgacaacccggcccggccggcgacagccaaagagcgaggcgacccgcctggtgccacagacgcaccgagggcggggccgcggccgagccagcctgcggggctcagggcgggggacgcaggcctcgggagcaccactcccctcatcggccgtcgctcccacatcgcgtcccctcgagggcgcgcttctccgcgacaccagcccggcaggaaacctaccccgtggaggcgtcagctacgtcctggcttgccaaggccaccgccgctgtagcccaggccaccgctgctgtagcccaggctggctggtctcgatggtggcgccttggcagaaccctgccgggcggagagtagcggaaggctcgcctcctccagcattcgctccggtgcagggctcccctcgctctgccaggccacgtgacctgagagctgcggagcaactgcagcccccaaagctggcttgggggtgggggttgcggggcggggtgggggagaggcaaaaggcgccaactgatgggcagcgagggaaaagcagggtcgctcccaagtcaggagaacaggatgatgtcccttttataatgtgaatgcaagcctaggttttattccatcaggtgggcacaagaagaaagatgtattttaataaagcatctcgccctttgcggaagcgtttgtgtagaaacctatttctctgtttctgaatgggctttaatcttctaaacgccttctgtttaaatgcaaaagcccctgggagacataactggagagggagaaaaatatacgcactggggtagagtaatcctgacgtgcaacacagggaaagcataggaaatgactcaaggaagggggaaaaaaactgcatgtctgactatgagaaggtaaaaaacagccagcttagtaccctggcctcaccagggctctcaccaccatacatctttgtggccatttttattgcttctattccatgtcagtttgccagtgtaggctaggacttaaatgagtattttggatgtacatataataggaattttttttttggtgatcataatgttgtattgtctgatcattatcacttaaatactcaggatggaaacaagttgcaagattaggaggcaccgatagaaaatatccagtaaaaccctttctgtaacagggtacatacgagtttacagggttaaaaagaggaaattccataagtaaattatttgatgcaaaaaatgagatcatcatcttgtttccagatgttctagctgctttctactacagaggcgaacaatcctgagctcagcctattgagccaagttcctgctgttgaagcctctcagaactcatgtcactggggttctttgtgtccacttgaaggagccttgaggtgatcgcagaaaaagacaaccaactacaagaaaggccatgatatctgcctgatttagctttgtcagctgtggaaaactgtctgtgaagattaatgaagctgtgcatcatccactttcttctcactttaaatgttcacacgtcttatcatatgttctattgctctgtaatcaggcgtatgtacacggatgacggctctcccctctaccaatacaaagtgcctctacctttggcagtatgtttataacgcatctgataataaaccagctattccggc
//

by @meso_cacase at DBCLS
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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. [Full Text]