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transcripts

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

id
INTEGER (primary key), unique identifier for each transcript
taxonomy_id
INTEGER (foreign key referencing genomes(taxonomy_id)), NCBI taxonomy identifier for species
transcript_id
TEXT, annotated identifier for the transcript
gene_id
TEXT, annotated identifier for the associated gene
chromosome
TEXT, chromosome (or contig) where the transcript is located
strand
TEXT, DNA strand of the transcript (+ or -)
start
INTEGER, start position of the transcript in the genome (1-based, inclusive)
end
INTEGER, end position of the transcript in the genome (1-based, inclusive)
coding_length
INTEGER, length of the coding sequence in base pairs
introns_per_kbp_cds
REAL, number of introns per kilobase coding sequence
proportion_minor_introns
REAL, proportion of minor introns in the transcript
n_introns
INTEGER, total number of introns in the transcript
n_minor_introns
INTEGER, number of minor introns in the transcript

19,896 rows where taxonomy_id = 176946

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Suggested facets: strand, n_minor_introns

id ▼ taxonomy_id transcript_id gene_id chromosome strand start end coding_length introns_per_kbp_cds proportion_minor_introns n_introns n_minor_introns
30057305 Python bivittatus 176946 rna-XM_025167226.1 gene-SPEG NW_006532014.1 - 150486 270876 10386 3.851338340073176 0.025 40 1
30057306 Python bivittatus 176946 rna-XM_025164870.1 gene-CFAP65 NW_006532014.1 - 1106341 1149641 5427 5.712179841533075 0.0 31 0
30057307 Python bivittatus 176946 rna-XM_025163623.1 gene-STK36 NW_006532014.1 - 1414111 1441508 3972 6.294058408862035 0.0 26 0
30057308 Python bivittatus 176946 rna-XM_007419811.3 gene-TTLL4 NW_006532014.1 + 683594 701506 3408 4.988262910798122 0.0 18 0
30057309 Python bivittatus 176946 rna-XM_007419827.3 gene-PTPRN NW_006532014.1 + 344022 384323 2853 7.7111812127585 0.0 22 0
30057310 Python bivittatus 176946 rna-XM_007419806.2 gene-ABCB6 NW_006532014.1 + 600177 638540 2634 6.83371298405467 0.0 19 0
30057311 Python bivittatus 176946 rna-XM_007419802.2 gene-ATG9A NW_006532014.1 + 579376 592313 2553 5.09204857030944 0.0588235294117647 17 1
30057312 Python bivittatus 176946 rna-XM_025174617.1 gene-ANKZF1 NW_006532014.1 - 552281 569769 2076 6.74373795761079 0.0 17 0
30057313 Python bivittatus 176946 rna-XM_025163966.1 gene-LOC112540169 NW_006532014.1 - 474142 491954 1914 3.134796238244514 0.0 6 0
30057314 Python bivittatus 176946 rna-XM_025163439.1 gene-SLC23A3 NW_006532014.1 - 1365963 1378753 1911 5.756148613291471 0.0 11 0
30057315 Python bivittatus 176946 rna-XM_007419800.3 gene-GLB1L NW_006532014.1 + 539007 551201 1893 7.923930269413629 0.0 16 0
30057316 Python bivittatus 176946 rna-XM_025164124.1 gene-LOC103057949 NW_006532014.1 - 733733 758441 1881 7.974481658692184 0.0 15 0
30057317 Python bivittatus 176946 rna-XM_025163901.1 gene-LOC112540154 NW_006532014.1 - 439257 450255 1842 1.0857763300760044 0.0 2 0
30057318 Python bivittatus 176946 rna-XM_007419825.3 gene-RETREG2 NW_006532014.1 + 1395086 1410390 1665 4.804804804804805 0.0 8 0
30057319 Python bivittatus 176946 rna-XM_007419816.3 gene-LOC103054208 NW_006532014.1 - 767817 786678 1563 5.1183621241202815 0.0 8 0
30057320 Python bivittatus 176946 rna-XM_007419814.3 gene-PRKAG3 NW_006532014.1 + 708337 730286 1533 7.8277886497064575 0.0 12 0
30057321 Python bivittatus 176946 rna-XM_025164064.1 gene-LOC112540190 NW_006532014.1 - 642219 653683 1479 4.732927653820148 0.0 7 0
30057322 Python bivittatus 176946 rna-XM_007419793.3 gene-DNPEP NW_006532014.1 + 319021 340404 1419 9.866102889358704 0.0 14 0
30057323 Python bivittatus 176946 rna-XM_007419792.3 gene-DES NW_006532014.1 - 276222 286060 1380 5.797101449275362 0.0 8 0
30057324 Python bivittatus 176946 rna-XM_007419797.3 gene-LOC103050512 NW_006532014.1 + 516026 524412 1347 2.969561989606533 0.0 4 0
30057325 Python bivittatus 176946 rna-XM_007419790.3 gene-GMPPA NW_006532014.1 - 123800 133229 1284 9.345794392523365 0.0 12 0
30057326 Python bivittatus 176946 rna-XM_007419824.3 gene-CNPPD1 NW_006532014.1 - 1383793 1393485 1269 5.516154452324665 0.0 7 0
30057327 Python bivittatus 176946 rna-XM_007419822.3 gene-IHH NW_006532014.1 - 1217550 1237494 1218 1.6420361247947457 0.0 2 0
30057328 Python bivittatus 176946 rna-XM_007419796.3 gene-LOC103050266 NW_006532014.1 - 410455 427390 1143 6.124234470691163 0.0 8 0
30057329 Python bivittatus 176946 rna-XM_007419817.3 gene-WNT6 NW_006532014.1 + 809284 855704 1050 2.857142857142857 0.0 3 0
30057330 Python bivittatus 176946 rna-XM_025163491.1 gene-NHEJ1 NW_006532014.1 - 1259161 1362653 1020 6.862745098039215 0.0 8 0
30057331 Python bivittatus 176946 rna-XM_007419798.3 gene-STK16 NW_006532014.1 - 528266 535267 918 6.5359477124183005 0.0 7 0
30057332 Python bivittatus 176946 rna-XM_007419794.3 gene-DNAJB2 NW_006532014.1 - 389164 399047 879 9.101251422070536 0.0 10 0
30057333 Python bivittatus 176946 rna-XM_025162913.1 gene-WNT10A NW_006532014.1 + 913347 931752 879 2.2753128555176336 0.0 2 0
30057334 Python bivittatus 176946 rna-XM_025177755.1 gene-ZFAND2B NW_006532014.1 - 659246 672803 867 9.22722029988466 0.0 8 0
30057335 Python bivittatus 176946 rna-XM_007419826.3 gene-RNF25 NW_006532014.1 + 1443051 1450628 795 8.80503144654088 0.0 7 0
30057336 Python bivittatus 176946 rna-XM_025163778.1 gene-LOC103048727 NW_006532014.1 - 136409 141772 711 4.219409282700422 0.0 3 0
30057337 Python bivittatus 176946 rna-XM_025163523.1 gene-CRYBA2 NW_006532014.1 - 1068977 1078263 651 6.1443932411674345 0.0 5 0
30057338 Python bivittatus 176946 rna-XM_025164013.1 gene-LOC103057460 NW_006532014.1 - 495610 497729 630 4.761904761904763 0.0 3 0
30057339 Python bivittatus 176946 rna-XM_007419819.2 gene-FEV NW_006532014.1 - 1048325 1060182 591 3.3840947546531304 0.0 3 0
30057341 Python bivittatus 176946 rna-XM_025165606.1 gene-BAHCC1 NW_006532015.1 + 753220 854191 7587 3.558718861209964 0.0 28 0
30057342 Python bivittatus 176946 rna-XM_025166398.1 gene-AATK NW_006532015.1 + 1069014 1144016 4620 3.0303030303030303 0.0 14 0
30057343 Python bivittatus 176946 rna-XM_025166060.1 gene-CEP131 NW_006532015.1 + 1003629 1038206 3333 7.500750075007501 0.0 26 0
30057344 Python bivittatus 176946 rna-XM_007419855.3 gene-SLC38A10 NW_006532015.1 + 890696 975060 3258 4.6040515653775325 0.0 15 0
30057345 Python bivittatus 176946 rna-XM_025164676.1 gene-KIF19 NW_006532015.1 + 113776 162649 3039 6.252056597564988 0.0 19 0
30057346 Python bivittatus 176946 rna-XM_025165271.1 gene-FAAP100 NW_006532015.1 + 366425 391042 2721 3.3076074972436604 0.0 10 0
30057347 Python bivittatus 176946 rna-XM_007419849.2 gene-NPLOC4 NW_006532015.1 + 293375 351131 1830 8.743169398907105 0.0 16 0
30057348 Python bivittatus 176946 rna-XM_007419868.2 gene-DNAI2 NW_006532015.1 + 82192 107523 1794 6.688963210702341 0.0 13 0
30057349 Python bivittatus 176946 rna-XM_007419856.2 gene-TEPSIN NW_006532015.1 + 982896 993733 1734 6.920415224913495 0.0833333333333333 12 1
30057350 Python bivittatus 176946 rna-XM_007419865.2 gene-BAIAP2 NW_006532015.1 - 1157178 1309616 1623 8.009858287122611 0.0 13 0
30057351 Python bivittatus 176946 rna-XM_007419867.3 gene-TTYH2 NW_006532015.1 + 2509 66939 1608 8.08457711442786 0.0 13 0
30057352 Python bivittatus 176946 rna-XM_007419851.3 gene-FSCN2 NW_006532015.1 - 400233 425334 1473 2.715546503733876 0.0 6 0
30057353 Python bivittatus 176946 rna-XM_025164732.1 gene-BTBD17 NW_006532015.1 - 167753 174546 1452 1.3774104683195594 0.0 2 0
30057354 Python bivittatus 176946 rna-XM_007419839.3 gene-GPRC5C NW_006532015.1 - 215004 219866 1311 2.288329519450801 0.0 4 0
30057355 Python bivittatus 176946 rna-XM_007419853.3 gene-ACTG1 NW_006532015.1 + 468874 470625 1128 3.5460992907801416 0.0 5 0
30057356 Python bivittatus 176946 rna-XM_025165009.1 gene-TSPAN10 NW_006532015.1 - 284028 290761 1032 1.937984496124031 0.0 2 0
30057357 Python bivittatus 176946 rna-XM_007419871.2 gene-GPR142 NW_006532015.1 + 192607 195856 990 1.0101010101010102 0.0 2 0
30057358 Python bivittatus 176946 rna-XM_007419843.3 gene-CCDC137 NW_006532015.1 - 258344 264713 753 6.640106241699868 0.0 5 0
30057359 Python bivittatus 176946 rna-XM_007419844.3 gene-OXLD1 NW_006532015.1 + 264969 267556 516 1.937984496124031 0.0 1 0
30057360 Python bivittatus 176946 rna-XM_025164563.1 gene-PVALEF NW_006532015.1 - 1048238 1051831 405 7.407407407407407 0.0 3 0
30057361 Python bivittatus 176946 rna-XM_007419845.2 gene-PDE6G NW_006532015.1 + 275529 282431 264 7.575757575757576 0.0 3 0
30057362 Python bivittatus 176946 rna-XM_025165897.1 gene-NDUFAF8 NW_006532015.1 - 978832 982501 216 9.25925925925926 0.0 2 0
30057365 Python bivittatus 176946 rna-XM_007419876.2 gene-CHD6 NW_006532016.1 + 114161 208665 8241 4.368401892974154 0.0 39 0
30057366 Python bivittatus 176946 rna-XM_007419882.2 gene-MYH7B NW_006532016.1 + 610771 659122 5826 7.037418468932373 0.0 42 0
30057367 Python bivittatus 176946 rna-XM_007419879.3 gene-SOGA1 NW_006532016.1 + 381292 439508 4425 2.937853107344633 0.0 14 0
30057368 Python bivittatus 176946 rna-XM_007419877.3 gene-RBL1 NW_006532016.1 + 217815 250037 3138 6.692160611854685 0.0 21 0
30057369 Python bivittatus 176946 rna-XM_025167604.1 gene-LOC112540807 NW_006532016.1 + 571812 574893 2907 0.3439972480220158 0.0 1 0
30057370 Python bivittatus 176946 rna-XM_007419884.3 gene-TRPC4AP NW_006532016.1 - 662700 696638 2361 7.623888182973316 0.0 18 0
30057371 Python bivittatus 176946 rna-XM_015888195.2 gene-ACSS2 NW_006532016.1 + 472552 539817 2097 9.060562708631378 0.0 19 0
30057372 Python bivittatus 176946 rna-XM_007419878.2 gene-SAMHD1 NW_006532016.1 + 264591 296308 1875 8.0 0.0 15 0
30057373 Python bivittatus 176946 rna-XM_007419885.2 gene-LOC103049694 NW_006532016.1 - 704072 716202 1746 5.727376861397479 0.0 10 0
30057374 Python bivittatus 176946 rna-XM_015888360.2 gene-TOX2 NW_006532016.1 + 997816 1256293 1539 5.198180636777128 0.0 8 0
30057375 Python bivittatus 176946 rna-XM_007419881.3 gene-GSS NW_006532016.1 - 543913 564110 1425 7.719298245614035 0.0 12 0
30057376 Python bivittatus 176946 rna-XM_025166447.1 gene-LOC103067582 NW_006532016.1 + 622 7525 984 7.113821138211382 0.0 7 0
30057377 Python bivittatus 176946 rna-XM_007419887.3 gene-TLDC2 NW_006532016.1 - 300871 307347 657 7.610350076103501 0.0 5 0
30057378 Python bivittatus 176946 rna-XM_007419920.3 gene-PPRC1 NW_006532017.1 + 124708 149441 5031 2.5839793281653747 0.0 13 0
30057379 Python bivittatus 176946 rna-XM_025167881.1 gene-SLIT1 NW_006532017.1 - 270082 391962 4326 7.85945446139621 0.0 34 0
30057380 Python bivittatus 176946 rna-XM_007419892.3 gene-RRP12 NW_006532017.1 - 464488 489716 3870 8.527131782945736 0.0 33 0
30057381 Python bivittatus 176946 rna-XM_007419894.3 gene-MMS19 NW_006532017.1 - 517999 547253 3060 9.803921568627452 0.0 30 0
30057382 Python bivittatus 176946 rna-XM_007419909.2 gene-R3HCC1L NW_006532017.1 + 818360 855388 2508 2.7910685805422646 0.0 7 0
30057383 Python bivittatus 176946 rna-XM_025170103.1 gene-CNNM1 NW_006532017.1 + 1148556 1167026 2406 4.57190357439734 0.0 12 0
30057384 Python bivittatus 176946 rna-XM_025169525.1 gene-HPS1 NW_006532017.1 - 903591 915767 2106 8.072174738841406 0.0555555555555555 18 1
30057385 Python bivittatus 176946 rna-XM_025169154.1 gene-CRTAC1 NW_006532017.1 - 748491 771098 1911 6.279434850863423 0.0 13 0
30057386 Python bivittatus 176946 rna-XM_007419911.3 gene-PYROXD2 NW_006532017.1 - 887851 898995 1749 8.576329331046313 0.0 15 0
30057387 Python bivittatus 176946 rna-XM_025169756.1 gene-HPSE2 NW_006532017.1 - 932693 1112123 1749 6.289308176100629 0.0 11 0
30057388 Python bivittatus 176946 rna-XM_007419891.3 gene-ARHGAP19 NW_006532017.1 - 437620 457452 1512 7.275132275132274 0.0 11 0
30057389 Python bivittatus 176946 rna-XM_007419904.3 gene-PI4K2A NW_006532017.1 + 611743 622289 1509 5.301524188204109 0.0 8 0
30057390 Python bivittatus 176946 rna-XM_025169017.1 gene-ZFYVE27 NW_006532017.1 + 648331 666255 1428 8.403361344537815 0.0 12 0
30057391 Python bivittatus 176946 rna-XM_025167927.1 gene-LCOR NW_006532017.1 + 206624 217891 1302 1.5360983102918586 0.0 3 0
30057392 Python bivittatus 176946 rna-XM_007419916.3 gene-GOT1 NW_006532017.1 - 1172098 1178881 1254 6.379585326953748 0.0 8 0
30057393 Python bivittatus 176946 rna-XM_025169379.1 gene-LOXL4 NW_006532017.1 - 865273 873829 1176 6.802721088435374 0.0 8 0
30057394 Python bivittatus 176946 rna-XM_007419896.3 gene-ZDHHC16 NW_006532017.1 + 509038 515498 1131 7.957559681697613 0.1 10 1
30057395 Python bivittatus 176946 rna-XM_007419901.3 gene-HOGA1 NW_006532017.1 + 587161 594827 1023 5.865102639296188 0.0 6 0
30057396 Python bivittatus 176946 rna-XM_007419923.2 gene-SFRP5 NW_006532017.1 - 672286 679586 942 2.123142250530785 0.0 2 0
30057397 Python bivittatus 176946 rna-XM_007419900.2 gene-ANKRD2 NW_006532017.1 + 573387 584058 933 8.57449088960343 0.0 8 0
30057398 Python bivittatus 176946 rna-XM_007419893.2 gene-PGAM1 NW_006532017.1 + 494197 498616 768 3.90625 0.0 3 0
30057399 Python bivittatus 176946 rna-XM_025167727.1 gene-NKX2-3 NW_006532017.1 + 1232127 1234953 762 2.6246719160104988 0.0 2 0
30057400 Python bivittatus 176946 rna-XM_025168745.1 gene-MORN4 NW_006532017.1 - 599685 611255 744 6.720430107526882 0.0 5 0
30057401 Python bivittatus 176946 rna-XM_007419918.2 gene-LDB1 NW_006532017.1 + 5701 11790 705 5.673758865248227 0.0 4 0
30057402 Python bivittatus 176946 rna-XM_007419899.2 gene-UBTD1 NW_006532017.1 + 550627 570142 684 2.923976608187134 0.0 2 0
30057403 Python bivittatus 176946 rna-XM_007419919.3 gene-LOC103057462 NW_006532017.1 - 42290 96143 594 10.101010101010102 0.0 6 0
30057404 Python bivittatus 176946 rna-XM_007419898.3 gene-EXOSC1 NW_006532017.1 - 500862 506298 585 11.965811965811966 0.1428571428571428 7 1
30057405 Python bivittatus 176946 rna-XM_007419924.2 gene-GOLGA7B NW_006532017.1 + 713370 722556 498 8.032128514056224 0.25 4 1
30057406 Python bivittatus 176946 rna-XM_007419905.2 gene-AVPI1 NW_006532017.1 - 626205 628092 480 2.083333333333333 0.0 2 0
30057408 Python bivittatus 176946 rna-XM_007419907.3 gene-MARVELD1 NW_006532017.1 + 635088 635615 528 0.0 0.0 1 0

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CREATE TABLE "transcripts" (
"id" INTEGER,
  "taxonomy_id" INTEGER,
  "transcript_id" TEXT,
  "gene_id" TEXT,
  "chromosome" TEXT,
  "strand" TEXT,
  "start" INTEGER,
  "end" INTEGER,
  "coding_length" INTEGER,
  "introns_per_kbp_cds" REAL,
  "proportion_minor_introns" REAL,
  "n_introns" INTEGER,
  "n_minor_introns" INTEGER
  ,PRIMARY KEY ([id]),
   FOREIGN KEY([taxonomy_id]) REFERENCES [genomes]([taxonomy_id])
);
CREATE INDEX [idx_transcripts_taxonomy_id]
    ON [transcripts] ([taxonomy_id]);
CREATE INDEX [idx_transcripts_gene_id]
    ON [transcripts] ([gene_id]);
CREATE INDEX [idx_transcripts_chromosome]
    ON [transcripts] ([chromosome]);
Powered by Datasette · Queries took 220.065ms · Data license: ODbL · Data source: Larue & Roy, 2023 · About: Minor Intron Database (WtMTA)