Schema for SNAP - SNAP Gene Predictions
  Database: DeugGB2    Primary Table: snap    Row Count: 20,093   Data last updated: 2022-10-20
fieldexampleSQL type info
bin 585smallint(5) unsigned range
name AFPQ02000009-snap.1varchar(255) values
chrom AFPQ02000009varchar(255) values
strand -char(1) values
txStart 820int(10) unsigned range
txEnd 1012int(10) unsigned range
cdsStart 820int(10) unsigned range
cdsEnd 1012int(10) unsigned range
exonCount 1int(10) unsigned range
exonStarts 820,longblob  
exonEnds 1012,longblob  
score 0int(11) range
name2 gene.AFPQ02000009-snap.1varchar(255) values
cdsStartStat unkenum('none', 'unk', 'incmpl', 'cmpl') values
cdsEndStat unkenum('none', 'unk', 'incmpl', 'cmpl') values
exonFrames 0,longblob  

Sample Rows
 
binnamechromstrandtxStarttxEndcdsStartcdsEndexonCountexonStartsexonEndsscorename2cdsStartStatcdsEndStatexonFrames
585AFPQ02000009-snap.1AFPQ02000009-820101282010121820,1012,0gene.AFPQ02000009-snap.1unkunk0,
585AFPQ02000020-snap.1AFPQ02000020+811264811264281,961,176,1264,0gene.AFPQ02000020-snap.1unkunk0,2,
585AFPQ02000021-snap.1AFPQ02000021+471031471031247,759,225,1031,0gene.AFPQ02000021-snap.1unkunk0,1,
585AFPQ02000027-snap.1AFPQ02000027-7289637289632728,786,739,963,0gene.AFPQ02000027-snap.1unkunk1,1,
585AFPQ02000031-snap.1AFPQ02000031+18278237681827823768918278,18398,18699,18893,19491,21267,23092,23490,23657,18298,18558,18837,19388,19917,21538,23167,23600,23768,0gene.AFPQ02000031-snap.1unkunk0,2,0,0,0,0,1,1,0,
585AFPQ02000049-snap.1AFPQ02000049-703107470310741703,1074,0gene.AFPQ02000049-snap.1unkunk0,
585AFPQ02000066-snap.1AFPQ02000066+6229462294162,294,0gene.AFPQ02000066-snap.1unkunk1,
585AFPQ02000078-snap.1AFPQ02000078-4525245252145,252,0gene.AFPQ02000078-snap.1unkunk2,
585AFPQ02000096-snap.1AFPQ02000096-149916791499167911499,1679,0gene.AFPQ02000096-snap.1unkunk0,
585AFPQ02000100-snap.1AFPQ02000100+515127751512771515,1277,0gene.AFPQ02000100-snap.1unkunk0,

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

SNAP (snap) Track Description
 

Description

This track shows predictions from the SNAP program written by Ian Korf. The predictions are based on transcriptional, translational, and donor/acceptor splicing signals, as well as the length and compositional distributions of exons, introns and intergenic regions.

References

Korf I. Gene finding in novel Genomes. BMC Bioinformatics 2004, 5:59