Schema for LTRharvest - LTR Fragments Identified by LTRharvest
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Database: DmirGB2 Primary Table: ltrdigest_PBS Row Count: 8   Data last updated: 2022-10-20
field | example | SQL type | info |
bin | 592 | smallint(5) unsigned | range |
chrom | CM001516 | varchar(255) | values |
chromStart | 938417 | int(10) unsigned | range |
chromEnd | 938435 | int(10) unsigned | range |
name | LTR_retrotransposon3_PBS | varchar(255) | values |
score | 1000 | int(10) unsigned | range |
strand | + | char(1) | values |
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Sample Rows
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bin | chrom | chromStart | chromEnd | name | score | strand |
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592 | CM001516 | 938417 | 938435 | LTR_retrotransposon3_PBS | 1000 | + |
609 | CM001517 | 3212101 | 3212112 | LTR_retrotransposon46_PBS | 1000 | + |
595 | CM001518 | 1410703 | 1410721 | LTR_retrotransposon61_PBS | 1000 | + |
685 | CM001518 | 13168666 | 13168679 | LTR_retrotransposon83_PBS | 1000 | - |
700 | CM001518 | 15199441 | 15199452 | LTR_retrotransposon99_PBS | 1000 | + |
591 | CM001519 | 837063 | 837074 | LTR_retrotransposon118_PBS | 1000 | + |
592 | CM001519 | 1001598 | 1001609 | LTR_retrotransposon119_PBS | 1000 | + |
741 | CM001520 | 20530820 | 20530837 | LTR_retrotransposon150_PBS | 1000 | + |
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Note: all start coordinates in our database are 0-based, not
1-based. See explanation
here.
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LTRharvest (ltrdigest) Track Description
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Description
LTRharvest
is used to identify putative long terminal repeats (LTR)
retrotransposons in the D. miranda 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
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Ellinghaus D, Kurtz S, and Willhoeft U.
LTRharvest,
an efficient and flexible software for de novo detection of LTR retrotransposons.
BMC Bioinformatics, 9:18, 2008.
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Steinbiss S, Willhoeft U, Gremme G, and Kurtz S.
Fine-grained
annotation and classification of de novo predicted LTR retrotransposons.
Nucleic Acids Research, 37(21):7002-7013 (2009).
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Steinbiss S, Kastens S, and Kurtz S.
LTRsift: a graphical user interface for semi-automatic classification and postprocessing of de novo detected LTR retrotransposons.
Mob DNA. 2012 Nov 7;3(1):18.
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