home / WtMTA

introns

Data license: ODbL · Data source: Larue & Roy, 2023 · About: Minor Intron Database (WtMTA)

id
INTEGER (primary key), globally unique identifier for each intron
dinucleotide_pair
TEXT, terminal dinucleotide sequences of the intron
is_minor
INTEGER, indicates if the intron is a minor intron (1) or not (0)
score
REAL, score representing the probability (0-100%) of the intron being minor
length
INTEGER, length of the intron in base pairs
transcript_id
INTEGER (foreign key referencing transcripts(id)), parent transcript
ordinal_index
INTEGER, ordinal position of the intron within the transcript (e.g., 3 for the third intron)
start
INTEGER, start position of the intron in the genome
end
INTEGER, end position of the intron in the genome
taxonomy_id
INTEGER (foreign key referencing genomes(taxonomy_id)), NCBI taxonomy identifier for species
scored_motifs
TEXT, motifs scored for the intron
phase
INTEGER, phase of the intron in coding sequence (0, 1, or 2 or null for introns outside of coding sequence)
in_cds
INTEGER, indicates if the intron is within the coding sequence (1) or not (0; e.g., UTR introns)
relative_position
REAL, relative position of the intron within the transcript (as a percentage of coding length)

33 rows where transcript_id = 30057380

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: score, phase

id ▼ dinucleotide_pair is_minor score length transcript_id ordinal_index start end taxonomy_id scored_motifs phase in_cds relative_position
168293858 GT-AG 0 3.564921042467155e-05 1384 rna-XM_007419892.3 30057380 1 488194 489577 Python bivittatus 176946 CGG|GTATGTAAAG...ATTACCTGATAG/AGTTAGCTCAAT...CACAG|AAA 1 1 3.592
168293859 GT-AG 0 0.0003723717159693 2115 rna-XM_007419892.3 30057380 2 485849 487963 Python bivittatus 176946 GAG|GTATGTGGCT...GAGTTTTTGACT/GAGTTTTTGACT...TATAG|ATA 0 1 9.535
168293860 GT-AG 0 1.000000099473604e-05 435 rna-XM_007419892.3 30057380 3 485330 485764 Python bivittatus 176946 CTG|GTAAGTATCA...CTTTCCTGCACT/CACTGTGTTATG...CTTAG|ATG 0 1 11.705
168293861 GT-AG 0 1.000000099473604e-05 659 rna-XM_007419892.3 30057380 4 484594 485252 Python bivittatus 176946 GCG|GTGAGTTCTA...TTGTTATTAATT/TTGTTATTAATT...CTCAG|TGT 2 1 13.695
168293862 GT-AG 0 1.000000099473604e-05 369 rna-XM_007419892.3 30057380 5 484119 484487 Python bivittatus 176946 TGG|GTAAGTACAT...TTATACTTATTG/TTTATACTTATT...ATCAG|ATC 0 1 16.434
168293863 GT-AG 0 1.000000099473604e-05 136 rna-XM_007419892.3 30057380 6 483866 484001 Python bivittatus 176946 AAG|GTGAGTTCAT...TCCTTCTTGTCT/TTCTAGCCCACC...TGCAG|GTC 0 1 19.457
168293864 GT-AG 0 0.6556461393297259 2144 rna-XM_007419892.3 30057380 7 481583 483726 Python bivittatus 176946 GAG|GTATCCAATT...TAATTTTTGTTT/GTAGGACTAATT...CTCAG|GTG 1 1 23.049
168293865 GT-AG 0 0.0009356370911268 320 rna-XM_007419892.3 30057380 8 481135 481454 Python bivittatus 176946 GTA|GTAAGTTTTC...TCTTTCTTCTCC/TTGTTACTCATC...CCCAG|CTA 0 1 26.357
168293866 GT-AG 0 1.000000099473604e-05 87 rna-XM_007419892.3 30057380 9 480949 481035 Python bivittatus 176946 ATG|GTGAGTAGTG...CCAGCCTTAGAT/TAGATGTTCAAG...ACCAG|GCC 0 1 28.915
168293867 GT-AG 0 1.000000099473604e-05 99 rna-XM_007419892.3 30057380 10 480758 480856 Python bivittatus 176946 AAA|GTAAGGAGAG...TAATTTTTCTCT/ATGCTGCTCAGA...TTTAG|GTT 2 1 31.292
168293868 GT-AG 0 2.2211857091220324e-05 203 rna-XM_007419892.3 30057380 11 480443 480645 Python bivittatus 176946 ATG|GTATTGCATT...TAGTCTATAGAG/TGTGGGCTGATG...CTCAG|GTT 0 1 34.186
168293869 GT-AG 0 1.000000099473604e-05 117 rna-XM_007419892.3 30057380 12 480225 480341 Python bivittatus 176946 CAG|GTACATGAAA...CGCTTTTTGATT/CGCTTTTTGATT...TTCAG|AAC 2 1 36.796
168293870 GT-AG 0 1.000000099473604e-05 617 rna-XM_007419892.3 30057380 13 479493 480109 Python bivittatus 176946 AAG|GTAAAGGAAT...CCTTTCTTATTT/TCCTTTCTTATT...TGCAG|TGT 0 1 39.767
168293871 GT-AG 0 1.000000099473604e-05 1618 rna-XM_007419892.3 30057380 14 477732 479349 Python bivittatus 176946 AGA|GTGAGTACGG...TGACTCTTAATT/TGTTTCCTGACT...TACAG|GGA 2 1 43.463
168293872 GT-AG 0 1.000000099473604e-05 645 rna-XM_007419892.3 30057380 15 476965 477609 Python bivittatus 176946 GAG|GTAATTAGAC...GGATCTTTCTCC/TGGGTATTAAAA...TGCAG|CCA 1 1 46.615
168293873 GT-AG 0 1.000000099473604e-05 132 rna-XM_007419892.3 30057380 16 476768 476899 Python bivittatus 176946 CAA|GTGAGGAATT...TTGGCTTTGCCT/TGGGAGGTGAAA...TTCAG|ATC 0 1 48.295
168293874 GT-AG 0 1.2509605351082688e-05 230 rna-XM_007419892.3 30057380 17 476375 476604 Python bivittatus 176946 CAG|GTAAGCATGG...TCTTTCTTCATT/TCTTTCTTCATT...CGCAG|AAG 1 1 52.506
168293875 GT-AG 0 1.000000099473604e-05 168 rna-XM_007419892.3 30057380 18 476052 476219 Python bivittatus 176946 CGG|GTGAGCAGTG...TCTCTTTTATTT/TTCTCTTTTATT...TGCAG|ATG 0 1 56.512
168293876 GT-AG 0 1.000000099473604e-05 404 rna-XM_007419892.3 30057380 19 475580 475983 Python bivittatus 176946 TAG|GTAAAGTTAC...AGATTATTAGCA/TTCCATCTAACT...TGCAG|GCT 2 1 58.269
168293877 GT-AG 0 1.000000099473604e-05 1299 rna-XM_007419892.3 30057380 20 474187 475485 Python bivittatus 176946 CAG|GTGAGTTACT...TATATTTTGAAT/TTTGGTCTGATC...CCTAG|AAT 0 1 60.698
168293878 GT-AG 0 1.000000099473604e-05 138 rna-XM_007419892.3 30057380 21 473890 474027 Python bivittatus 176946 AGA|GTAAGGAAAA...CTATCCTAATTT/TCTATCCTAATT...CTCAG|CCC 0 1 64.806
168293879 GT-AG 0 1.000000099473604e-05 1088 rna-XM_007419892.3 30057380 22 472721 473808 Python bivittatus 176946 GAG|GTGAGAGAAC...AATGCCTTTGCT/AGGTTAGTGATC...TCCAG|GTG 0 1 66.899
168293880 GT-AG 0 1.000000099473604e-05 1369 rna-XM_007419892.3 30057380 23 471246 472614 Python bivittatus 176946 ATG|GTGCGTCCCA...AGTGCCTGATAT/TATATAATTACA...TTCAG|ATG 1 1 69.638
168293881 GT-AG 0 1.000000099473604e-05 378 rna-XM_007419892.3 30057380 24 470760 471137 Python bivittatus 176946 AAG|GTGAGAAAAC...TAATCCATATTG/TTGAAGTTGATC...TGCAG|ATC 1 1 72.429
168293882 GT-AG 0 1.000000099473604e-05 332 rna-XM_007419892.3 30057380 25 470270 470601 Python bivittatus 176946 ATG|GTGAGAACGG...AAACTTTTAAGG/AAACTTTTAAGG...TACAG|TTA 0 1 76.512
168293883 GT-AG 0 1.000000099473604e-05 2169 rna-XM_007419892.3 30057380 26 468009 470177 Python bivittatus 176946 TGG|GTTAGTACTG...ATTTCCATGATT/ATTATTTTCACC...CCTAG|GTT 2 1 78.889
168293884 GT-AG 0 4.4298517426831065e-05 153 rna-XM_007419892.3 30057380 27 467697 467849 Python bivittatus 176946 TAG|GTATGGATGA...CTCTCCATAAAT/CTCTCCATAAAT...TGTAG|CAT 2 1 82.997
168293885 GT-AG 0 1.000000099473604e-05 146 rna-XM_007419892.3 30057380 28 467378 467523 Python bivittatus 176946 TAG|GTAAGAGGAA...ACTTTTTTATAA/TACTTTTTTATA...TGCAG|CTA 1 1 87.468
168293886 GT-AG 0 1.000000099473604e-05 371 rna-XM_007419892.3 30057380 29 466905 467275 Python bivittatus 176946 AAG|GTACAACTGG...TAGTACATAATT/CTCTGTCTGATA...CACAG|GAC 1 1 90.103
168293887 GT-AG 0 1.000000099473604e-05 489 rna-XM_007419892.3 30057380 30 466366 466854 Python bivittatus 176946 AGT|GTAAGTGAAG...GCAGTCTTGATG/GTTTATCTTACA...TGCAG|AAG 0 1 91.395
168293888 GT-AG 0 1.000000099473604e-05 545 rna-XM_007419892.3 30057380 31 465742 466286 Python bivittatus 176946 AAG|GTAAGCACGT...TTTTGTTTATTC/GTTTTGTTTATT...TATAG|CGG 1 1 93.437
168293889 GT-AG 0 1.000000099473604e-05 794 rna-XM_007419892.3 30057380 32 464880 465673 Python bivittatus 176946 AAG|GTAAGATCAT...TATACTTTGGCC/ACTGATTTCACT...TACAG|AAA 0 1 95.194
168293890 GT-AG 0 0.0004598558501506 206 rna-XM_007419892.3 30057380 33 464591 464796 Python bivittatus 176946 GAG|GTATGATATA...TGATTCTTATCT/CTGATTCTTATC...GGTAG|GAA 2 1 97.339

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE "introns" (
"id" INTEGER,
  "dinucleotide_pair" TEXT,
  "is_minor" INTEGER,
  "score" REAL,
  "length" INTEGER,
  "transcript_id" INTEGER,
  "ordinal_index" INTEGER,
  "start" INTEGER,
  "end" INTEGER,
  "taxonomy_id" INTEGER,
  "scored_motifs" TEXT,
  "phase" INTEGER,
  "in_cds" INTEGER,
  "relative_position" REAL
  ,PRIMARY KEY ([id]),
   FOREIGN KEY([transcript_id]) REFERENCES [transcripts]([id]),
   FOREIGN KEY([taxonomy_id]) REFERENCES [genomes]([taxonomy_id])
);
CREATE INDEX [idx_introns_transcript_id]
    ON [introns] ([transcript_id]);
CREATE INDEX [idx_introns_taxonomy_id]
    ON [introns] ([taxonomy_id]);
CREATE INDEX [idx_introns_phase]
    ON [introns] ([phase]);
CREATE INDEX [idx_introns_is_minor]
    ON [introns] ([is_minor]);
CREATE INDEX [idx_introns_dinucleotide_pair]
    ON [introns] ([dinucleotide_pair]);
CREATE INDEX [idx_introns_score]
    ON [introns] ([score]);
CREATE INDEX [idx_introns_in_cds]
    ON [introns] ([in_cds]);
Powered by Datasette · Queries took 160.161ms · Data license: ODbL · Data source: Larue & Roy, 2023 · About: Minor Intron Database (WtMTA)