Schema for SNAP - SNAP Gene Predictions
  Database: DkikGB2    Primary Table: snap    Row Count: 22,304   Data last updated: 2022-10-20
fieldexampleSQL type info
bin 585smallint(5) unsigned range
name AFFH02000049-snap.1varchar(255) values
chrom AFFH02000049varchar(255) values
strand +char(1) values
txStart 2345int(10) unsigned range
txEnd 2602int(10) unsigned range
cdsStart 2345int(10) unsigned range
cdsEnd 2602int(10) unsigned range
exonCount 1int(10) unsigned range
exonStarts 2345,longblob  
exonEnds 2602,longblob  
score 0int(11) range
name2 gene.AFFH02000049-snap.1varchar(255) values
cdsStartStat unkenum('none', 'unk', 'incmpl', 'cmpl') values
cdsEndStat unkenum('none', 'unk', 'incmpl', 'cmpl') values
exonFrames 2,longblob  

Sample Rows
 
binnamechromstrandtxStarttxEndcdsStartcdsEndexonCountexonStartsexonEndsscorename2cdsStartStatcdsEndStatexonFrames
585AFFH02000049-snap.1AFFH02000049+234526022345260212345,2602,0gene.AFFH02000049-snap.1unkunk2,
585AFFH02000063-snap.1AFFH02000063+281539281539228,1210,152,1539,0gene.AFFH02000063-snap.1unkunk0,1,
585AFFH02000086-snap.1AFFH02000086+167819411678194111678,1941,0gene.AFFH02000086-snap.1unkunk0,
585AFFH02000093-snap.1AFFH02000093-4216374216371421,637,0gene.AFFH02000093-snap.1unkunk0,
585AFFH02000114-snap.1AFFH02000114-951116795111671951,1167,0gene.AFFH02000114-snap.1unkunk0,
585AFFH02000165-snap.1AFFH02000165-23809242052380924205123809,24205,0gene.AFFH02000165-snap.1unkunk0,
585AFFH02000165-snap.2AFFH02000165+25783324022578332402425783,27341,30879,31110,25949,27904,31087,32402,0gene.AFFH02000165-snap.2unkunk0,1,0,1,
585AFFH02000165-snap.3AFFH02000165+32542330433254233043132542,33043,0gene.AFFH02000165-snap.3unkunk0,
585AFFH02000183-snap.1AFFH02000183+862127386212731862,1273,0gene.AFFH02000183-snap.1unkunk1,
585AFFH02000236-snap.1AFFH02000236-5140551405151,405,0gene.AFFH02000236-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