Schema for LTRharvest - LTR Fragments Identified by LTRharvest
  Database: DsimGB2    Primary Table: ltrdigest_protein    Row Count: 1,963   Data last updated: 2022-10-20
fieldexampleSQL type info
bin 593smallint(5) unsigned range
chrom CM002910varchar(255) values
chromStart 1124491int(10) unsigned range
chromEnd 1124591int(10) unsigned range
name G-patchvarchar(255) values
score 0int(10) unsigned range
strand +char(1) values
thickStart 0int(10) unsigned range

Sample Rows
 
binchromchromStartchromEndnamescorestrandthickStart
593CM00291011244911124591G-patch0+0
719CM0029101757301917573353GAGPOL_ty3gypsy_BMC_Evolutionary_Biology_8_276_20080-0
719CM0029101757301917573356GAGPOL_ty3gypsyretroviridae_BMC_Evolutionary_Biology_8_276_20080-0
719CM0029101757302217573353GAGPOL_retroviridae0-0
719CM0029101757302517573353RT_caulimoviridae0-0
719CM0029101757302817573353GAGCOATPOL_caulimoviridae0-0
719CM0029101757302817573353GAGCOATPOL_caulimoviridae0-0
719CM0029101757312417573353RVT_10-0
719CM0029101757365917573903AP_retroelement0-0
719CM0029101757366517573903AP_ty3gypsy0-0

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

LTRharvest (ltrdigest) Track Description
 

Description

LTRharvest is used to identify putative long terminal repeats (LTR) retrotransposons in the D. simulans genome using the following parameters:

-seed 76 -minlenltr 116 -maxlenltr 800 -mindistltr 2280 -maxdistltr 8773 -similar 91 -xdrop 7 -mat 2 -mis -2 -ins -3 -del -3 -mintsd 4 -maxtsd 20 -vic 60 -overlaps best

Additional features within the LTR retrotransposons are annotated by LTRdigest with the following parameters:

-pptradius 30 -pptlen 8 30 -pptrprob 0.97 -uboxlen 3 30 -pptuprob 0.91 -pbsradius 30 -pbsalilen 11 30 -pbsoffset 0 5 -pbstrnaoffset 0 40 -pbsmaxedist 1 -pbsmatchscore 5 -pbsmismatchscore -10 -pbsinsertionscore -20 -pbsdeletionscore -20 -pdomevalcutoff 1e-6 -maxgaplen 50

The subset of candidates that show significant similarity to Pfam protein domains within LTR retrotransposons are selected and then clustered using the ltrclustering program with the following parameters:

-psmall 80 -plarge 30

References