Schema for SNAP - SNAP Gene Predictions
  Database: DereCAF1    Primary Table: snap    Row Count: 16,219   Data last updated: 2022-10-20
fieldexampleSQL type info
bin 585smallint(5) unsigned range
name scaffold_1230-snap.1varchar(255) values
chrom scaffold_1230varchar(255) values
strand -char(1) values
txStart 250int(10) unsigned range
txEnd 964int(10) unsigned range
cdsStart 250int(10) unsigned range
cdsEnd 964int(10) unsigned range
exonCount 4int(10) unsigned range
exonStarts 250,423,741,886,longblob  
exonEnds 367,667,832,964,longblob  
score 0int(11) range
name2 gene.scaffold_1230-snap.1varchar(255) values
cdsStartStat unkenum('none', 'unk', 'incmpl', 'cmpl') values
cdsEndStat unkenum('none', 'unk', 'incmpl', 'cmpl') values
exonFrames 2,1,0,0,longblob  

Sample Rows
 
binnamechromstrandtxStarttxEndcdsStartcdsEndexonCountexonStartsexonEndsscorename2cdsStartStatcdsEndStatexonFrames
585scaffold_1230-snap.1scaffold_1230-2509642509644250,423,741,886,367,667,832,964,0gene.scaffold_1230-snap.1unkunk2,1,0,0,
585scaffold_1240-snap.1scaffold_1240-388136438813641388,1364,0gene.scaffold_1240-snap.1unkunk2,
585scaffold_1245-snap.1scaffold_1245-424115642411561424,1156,0gene.scaffold_1245-snap.1unkunk1,
585scaffold_1246-snap.1scaffold_1246+330111333011131330,1113,0gene.scaffold_1246-snap.1unkunk0,
585scaffold_1247-snap.1scaffold_1247-221170221170222,298,275,1170,0gene.scaffold_1247-snap.1unkunk0,1,
585scaffold_1251-snap.1scaffold_1251+758147575814751758,1475,0gene.scaffold_1251-snap.1unkunk0,
585scaffold_1252-snap.1scaffold_1252-2272722727222,697,616,727,0gene.scaffold_1252-snap.1unkunk0,0,
585scaffold_1253-snap.1scaffold_1253-299187429918742299,1724,1328,1874,0gene.scaffold_1253-snap.1unkunk1,1,
585scaffold_1255-snap.1scaffold_1255+3189003189001318,900,0gene.scaffold_1255-snap.1unkunk0,
585scaffold_1259-snap.1scaffold_1259-133124813312482133,993,220,1248,0gene.scaffold_1259-snap.1unkunk2,2,

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