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  Schema for N-SCAN - N-SCAN Gene Predictions
  Database: bosTau4    Primary Table: nscanGene    Row Count: 10,433
Format description: A gene prediction with some additional info.
fieldexampleSQL type info description
bin 585smallint unsigned range Indexing field to speed chromosome range queries.
name chr1.001.1varchar(255) values Name of gene (usually transcript_id from GTF)
chrom chr1varchar(255) values Reference sequence chromosome or scaffold
strand +char(1) values + or - for strand
txStart 27302int unsigned range Transcription start position
txEnd 52879int unsigned range Transcription end position
cdsStart 27302int unsigned range Coding region start
cdsEnd 52879int unsigned range Coding region end
exonCount 5int unsigned range Number of exons
exonStarts 27302,27880,37987,41438,52360,longblob   Exon start positions
exonEnds 27574,28125,38141,41864,52879,longblob   Exon end positions
score 0int range  
name2 chr1.001varchar(255) values Alternate name (e.g. gene_id from GTF)
cdsStartStat incmplenum('none','unk','incmpl','cmpl') values enum('none','unk','incmpl','cmpl')
cdsEndStat cmplenum('none','unk','incmpl','cmpl') values enum('none','unk','incmpl','cmpl')
exonFrames 1,0,2,0,0,longblob   Exon frame {0,1,2}, or -1 if no frame for exon

  Connected Tables and Joining Fields
        bosTau4.nscanPep.name (via nscanGene.name)

  Sample Rows
 
binnamechromstrandtxStarttxEndcdsStartcdsEndexonCountexonStartsexonEndsscorename2cdsStartStatcdsEndStatexonFrames
585chr1.001.1chr1+27302528792730252879527302,27880,37987,41438,52360,27574,28125,38141,41864,52879,0chr1.001incmplcmpl1,0,2,0,0,
73chr1.002.1chr1-61889158265618891582591061889,82665,86614,102563,103498,114362,115700,116377,117418,156978,62896,83073,87162,102719,103557,114544,115807,116503,117528,158265,0chr1.002cmplcmpl1,1,2,2,0,1,2,2,0,0,
73chr1.003.1chr1-74235791337774235791337034742357,746210,748787,749873,752001,756112,762322,764366,773063,796877,798999,802512,805036,808906,813208,814523,818392,820594,83 ...742506,746384,748870,749995,752214,756280,762421,764615,773185,797069,799117,802634,805082,809073,813291,814729,818552,820842,83 ...0chr1.003cmplcmpl1,1,2,0,0,0,0,0,1,1,0,1,0,1,2,0,2,0,1,2,0,1,0,0,0,1,2,2,1,1,2,1,1,0,
592chr1.004.1chr1+9952231041991995229104199129995223,997164,998806,999699,1001812,1003535,1012150,1013410,1015778,1017532,1018682,1021170,1021760,1023954,1024968,1026074,1027 ...995250,997236,998884,999772,1001857,1003604,1012284,1013522,1015877,1017654,1018766,1021220,1021845,1024035,1025172,1026253,1027 ...0chr1.004cmplcmpl0,0,0,0,1,1,1,0,1,1,0,0,2,0,0,0,2,1,2,2,0,0,0,2,1,2,2,0,0,
9chr1.005.1chr1-1043635107369810436351073692111043635,1044313,1046385,1050565,1051692,1058902,1059284,1061333,1062791,1070450,1073615,1043794,1044429,1046533,1050682,1051803,1059091,1059431,1061494,1068695,1070617,1073698,0chr1.005cmplcmpl0,1,0,0,0,0,0,1,1,2,0,
593chr1.006.1chr1+1077491117076410774981170764271077491,1078725,1079298,1082717,1083798,1084369,1085572,1086149,1086399,1089540,1091651,1092040,1092492,1093733,1094277,1096433, ...1077643,1078821,1079473,1082829,1083867,1084495,1085660,1086235,1086568,1089772,1091746,1092150,1092691,1093985,1094430,1096640, ...0chr1.006cmplcmpl0,1,1,2,0,0,0,1,0,1,2,1,0,1,1,1,1,1,0,1,0,1,0,2,1,1,2,
74chr1.007.1chr1-1187595142768911875951427683281187595,1191711,1201180,1208700,1279959,1281418,1282055,1285850,1286116,1289134,1290786,1291034,1293457,1300723,1374868,1380979, ...1187826,1191869,1201389,1208833,1280191,1281564,1282206,1286008,1286316,1289249,1290928,1291192,1293639,1300844,1375004,1381137, ...0chr1.007cmplcmpl0,1,2,1,0,1,0,1,2,1,0,1,2,1,0,1,0,1,2,0,0,1,0,1,2,1,1,0,
74chr1.008.1chr1+1855392202410818553992024108531855392,1874834,1876720,1881229,1882950,1884045,1884704,1885435,1889216,1892797,1892983,1894988,1896272,1897076,1897937,1898386, ...1856038,1875180,1876849,1881406,1883172,1884149,1884922,1885625,1889340,1892897,1893099,1895188,1896417,1897198,1898014,1898453, ...0chr1.008cmplcmpl0,0,1,1,1,1,0,2,0,1,2,1,0,1,0,2,0,0,2,1,1,2,0,0,2,0,2,0,0,1,1,1,2,2,0,0,1,2,2,0,1,1,1,0,1,0,0,1,1,0,0,0,0,
9chr1.009.1chr1-206708521326552067085213264982067085,2078420,2080221,2091167,2104672,2115101,2118386,2132639,2067462,2078510,2080302,2091311,2104825,2115225,2118583,2132655,0chr1.009cmplcmpl1,1,1,1,1,0,1,0,
75chr1.010.1chr1+2194767226779221947732267792372194767,2195828,2202084,2204526,2206179,2209303,2213458,2215420,2218300,2219177,2219997,2221472,2223433,2225020,2225821,2226746, ...2194925,2195961,2202181,2204612,2206305,2209428,2213654,2215558,2218474,2219307,2220114,2221585,2223553,2225137,2225960,2226917, ...0chr1.010cmplcmpl0,2,0,1,0,0,2,0,0,0,1,1,0,0,0,1,1,0,0,0,1,2,0,2,1,1,2,0,1,0,1,0,0,2,2,1,1,

Note: all start coordinates in our database are 0-based, not 1-based. See explanation here.


  N-SCAN (nscanGene) Track Description
 

Description

This track shows gene predictions using the N-SCAN gene structure prediction software provided by the Computational Genomics Lab at Washington University in St. Louis, MO, USA.

Methods

N-SCAN PASA-EST

N-SCAN combines biological-signal modeling in the target genome sequence along with information from a multiple-genome alignment to generate de novo gene predictions. It extends the TWINSCAN target-informant genome pair to allow for an arbitrary number of informant sequences as well as richer models of sequence evolution. N-SCAN models the phylogenetic relationships between the aligned genome sequences, context-dependent substitution rates, insertions, and deletions.

For creating predictions on cow, N-SCAN uses mouse (mm9) as the informant.

N-SCAN PASA-EST combines EST alignments into N-SCAN. Similar to the conservation sequence models in TWINSCAN, separate probability models are developed for EST alignments to genomic sequence in exons, introns, splice sites and UTRs, reflecting the EST alignment patterns in these regions. N-SCAN PASA-EST is more accurate than N-SCAN while retaining the ability to discover novel genes to which no ESTs align.

No manual annotation was performed to generate any of the gene models.

Credits

Thanks to Michael Brent's Computational Genomics Group at Washington University St. Louis for providing these data.

Special thanks for this implementation of N-SCAN to Aaron Tenney in the Brent lab, and Robert Zimmermann, currently at Max F. Perutz Laboratories in Vienna, Austria.

References

Gross SS, Brent MR. Using multiple alignments to improve gene prediction. In Proc. 9th Int'l Conf. on Research in Computational Molecular Biology (RECOMB '05):374-388 and J Comput Biol. 2006 Mar;13(2):379-93.

Korf I, Flicek P, Duan D, Brent MR. Integrating genomic homology into gene structure prediction. Bioinformatics. 2001 Jun 1;17(90001):S140-8.

van Baren MJ, Brent MR. Iterative gene prediction and pseudogene removal improves genome annotation. Genome Res. 2006 May;16(5):678-85.

Haas BJ, Delcher AL, Mount SM, Wortman JR, Smith RK Jr, Hannick LI, Maiti R, Ronning CM, Rusch DB, Town CD et al. Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies. Nucleic Acids Res 2003 Oct 1;31(19):5654-66.