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)

18 rows where transcript_id = 30057308

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: score, length, phase, in_cds

id ▼ dinucleotide_pair is_minor score length transcript_id ordinal_index start end taxonomy_id scored_motifs phase in_cds relative_position
168293091 GT-AG 0 4.029929001386927e-05 617 rna-XM_007419811.3 30057308 2 684982 685598 Python bivittatus 176946 TGA|GTAAGTACCA...TTCACTTTATCA/GAAGATTTCACT...TGTAG|AGC 2 1 41.602
168293092 GT-AG 0 1.000000099473604e-05 518 rna-XM_007419811.3 30057308 3 685721 686238 Python bivittatus 176946 AAG|GTCGTTAATG...TGTTCCTTGTCT/TGTGAGTTAATG...TTCAG|GTG 1 1 45.129
168293093 GT-AG 0 1.000000099473604e-05 466 rna-XM_007419811.3 30057308 4 686303 686768 Python bivittatus 176946 TAG|GTTAGTGTCA...GGCTTCTTTCCT/CATATAGTTAGG...TGTAG|GAA 2 1 46.979
168293094 GT-AG 0 1.000000099473604e-05 1674 rna-XM_007419811.3 30057308 5 686894 688567 Python bivittatus 176946 GAG|GTAAGGTGGA...CAGACTTTATTC/TTTATTCTTAGG...CTTAG|TGG 1 1 50.593
168293095 GT-AG 0 1.000000099473604e-05 715 rna-XM_007419811.3 30057308 6 688679 689393 Python bivittatus 176946 GAA|GTGAGTCCTC...TGTCTCATAATT/AATTGTCTCATA...TATAG|GAA 1 1 53.802
168293096 GT-AG 0 4.392604810923791e-05 1731 rna-XM_007419811.3 30057308 7 689471 691201 Python bivittatus 176946 AAG|GTATGTGATA...TTTTTTTTGTTC/TGAGACCTCATT...TGCAG|TTG 0 1 56.028
168293097 GT-AG 0 1.000000099473604e-05 484 rna-XM_007419811.3 30057308 8 691397 691880 Python bivittatus 176946 CCG|GTGAGAGTGC...TGAACTGTAGCA/TATAAGGTTATG...CTTAG|CCA 0 1 61.665
168293098 GT-AG 0 1.000000099473604e-05 439 rna-XM_007419811.3 30057308 9 691964 692402 Python bivittatus 176946 AAG|GTAAGCAAGG...GCTTCCTTGTAG/TTGTAGCTCACT...TTCAG|ATA 2 1 64.065
168293099 GT-AG 0 0.0001349274447709 675 rna-XM_007419811.3 30057308 10 692532 693206 Python bivittatus 176946 CAA|GTAGGTTCCT...CTATTCTTCACA/CTATTCTTCACA...TATAG|ATA 2 1 67.794
168293100 GT-AG 0 1.000000099473604e-05 255 rna-XM_007419811.3 30057308 11 693330 693584 Python bivittatus 176946 GTG|GTGAGTGTCA...TAATGTTTATTT/TATTTGTTTACA...TATAG|GGC 2 1 71.35
168293101 GT-AG 0 3.156610342550264e-05 422 rna-XM_007419811.3 30057308 12 693684 694105 Python bivittatus 176946 TGC|GTAAGTCATG...TCTTTCTTGAGT/TCTTTCTTGAGT...TTCAG|GTC 2 1 74.212
168293102 GT-AG 0 5.295101035905978e-05 472 rna-XM_007419811.3 30057308 13 694241 694712 Python bivittatus 176946 TAG|GTAAGCTGTG...AATTTCTAAAAC/AAATTTCTAAAA...TGCAG|CCT 2 1 78.115
168293103 GT-AG 0 1.000000099473604e-05 1443 rna-XM_007419811.3 30057308 14 694851 696293 Python bivittatus 176946 CAG|GTCAGAGGTC...ATTCCCTTGACT/ATAATTTTAACT...TCTAG|CTT 2 1 82.105
168293104 GT-AG 0 1.000000099473604e-05 3056 rna-XM_007419811.3 30057308 15 696397 699452 Python bivittatus 176946 CAG|GTGGGTAGTA...AACGCCTTGTCA/CGCCTTGTCATT...CCCAG|GAA 0 1 85.082
168293105 GT-AG 0 1.000000099473604e-05 422 rna-XM_007419811.3 30057308 16 699664 700085 Python bivittatus 176946 AAG|GTAAAAATAA...TTCCCCTTGGAT/TTTATATTCACT...TGCAG|GAG 1 1 91.182
168293106 GT-AG 0 1.000000099473604e-05 263 rna-XM_007419811.3 30057308 17 700157 700419 Python bivittatus 176946 CTG|GTGAGAATGC...GCAGCCTTGTCA/TGTCATCTGACT...TGCAG|TGG 0 1 93.235
168293107 GT-AG 0 1.000000099473604e-05 853 rna-XM_007419811.3 30057308 18 700503 701355 Python bivittatus 176946 CAG|GTGAAATAAC...ATTTTGTTGATC/ATTTTGTTGATC...TTCAG|CAG 2 1 95.635
168293366 GT-AG 0 1.000000099473604e-05 10295 rna-XM_007419811.3 30057308 1 673221 683515 Python bivittatus 176946 CCG|GTAAGTAAGC...TGCTTCTTGTTT/AACATTTTCATA...TTTAG|GCT   0 1.474

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 399.919ms · Data license: ODbL · Data source: Larue & Roy, 2023 · About: Minor Intron Database (WtMTA)