Comments (4)
Chr01:100489068..100485858#LTR/unknown
Chr01:100991415..100985473#LTR/Retrovirus
Chr01:102009458..102011936#LTR/unknown
TGTGGGGGCGGAGCCCCAGAGAGTAGTTTCCAGGCTCTCGGCCTCACACAGACAGGTGCTGGCTCAGGTAGTAAATGGCCAACTGTGATTGCATGGCCATCAGCTGTGGCTAGTTGGCCGTCAGCTGTAACCAGTGAGCCATTGGCCACAATATAATTGCTGTGGCTAAGGAGAGAGAGAAAGAAGGATGGGGCTAGCAAGGAGATGGCGGCTGGGCTGGCAAGCGTGGATGGCGGTTTGCAGACAGTGTGTATCCAGCCTCCAGTGAGAGTATAGTGCCGCCAGAGAGAATAAAGTGGTATGACTCCCCTACCTATGGCTCCGTGGGTGTTCCTTTTTGGCCTCACCATATCCTGCGTTCTTGTGTGGGGAGCGGGACCGGAGACCCTGCAGGCCACCCCGCATGACACATGGCGCAGCGAGCAGGGTCCCCAACATGACACATGGCGTAGTCGGCAGGATATGGTGCCGGCCAAAGCTCTCCGAAGGGCGGTGGAGCAGTTTGTGTGTATGAACACTCAGTCTGAGGAAGACCAGGAGGAGCAGCTGCCGGAGAGCTGGACCCTCGTGGAGGGGTGGGAGGACGTGGACGGTTCTCCCACCAGCACAGGAAAAGCCATGCAGCTGCTGGAGAGATGGAGCCCCGTGGAGAGGTGGAAAGATGTGGACGGTTCCCCAACCAGCACAGGCCGGAGAAAGCGAAGGTCGTTGCAGCCCTGTGGGCCGGGGAAGTTCCTGCTCAGGCAGCCCGGATGCAGGACTTGTAGTCCCAGGAGGTAACGCTTGCTGAGTCCTCCGTGGGAGATGAGGGTGAGGTCAAGGTCGTCCCTCACCCCCAGGACAGCCCTGGTGAATGACTATGGACTATGGGGAATTGCCTTCCATCCCTAATTTAATGGACTGCTTGACTGTTTGTTTGGGAACTGTTGTTAGTGGAACTGGGGGATATTTGCTTTTGTCTCTTGACTGGCCGCCATTGAGAATATGTAAGCACCTTGATTGTGAGTCGCTGTTGTTCCAGCAGGGTACCCTGAGAGGCACAGAGAGAGTGGCAGTGCGCTGAGAGGTCTAGCTGTGCCCTGAGAAGCCCTGGCTGTGTCCAGGAAGTGTGGCTGTGCCCACAGAGAGTGGTGGTGCCCTGAGAAGCCCTGGCTGTGTCCAGGAAGTGTGGCTGTTCCCAGAGAAAGTGGCAGTGCCCTGAGAAATCCTAGCTGTGCCCGGGGAAACTAGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCAGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCAGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCTGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCAGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCTGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCAGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCAGTGCCCAGGAGTACTGGTGGTGCCCTGAGAAACCCTGGCTGTGTCCGGGAAGACAGGTGGTACCCTAAGAAGTCCAGGAAGTCTGGCCGTGCCCAGAAGCACTGGTGGTGCCCTGAGAAACCCTGGCTGTGCCCAGAGAGCCTGGCTGTGTCCAGGATATTGCATTCACCCCCAGGCTCCTCGCACAGGTCCCCTCGCGGAAGACGCTTGTCGCGTAGATTGTGAGGCGAGAGCCTGTAGGGGTGGAGTGTGGGGGCGGAGCCCCAGAGAGTAGTTTCCAGGCTCTCGGCCTCACATAGACAGGTGCTGGCTCAGGTAGTAAATGGCCAACTGTGATTGCATGGCCATCAGCTGTGGCTAGTTGGCCGTCAGCTGTAACCAGTGAGCCATTGGCCACAATATAATTGCTGTGGCTAAGGAGAGAGAGAAAGAAGGATGGGGCTAGCAAGGAGATGGCGGCTGGGCTGGCAAGCGTGGATGGCGGTTTGCAGACAGTGTGTATCCAGCCTCCAGTGAGAGTATAGTGCCGCCAGAGAGAATAAAGTGGTATGACTCCCCTACCTATGGCTCCGTGGGTGTTCCTTTTTGGCCTCACCATATCCTGCGTTCTTGTGTGGGGAGCGGGACCGGAGACCCTGCAGGCCACCCCGCATGACACATGGCGCAGCGAGCAGGGTCCCCAACATGACA
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Does get_full_seqs automatedly filter some low quality sequence? Or would it be propriate for me to generate fasta sequences accodring to the 2 pass.list files by myself, then using TEsorter to classify them?
from tesorter.
get_full_seqs
does not filter some low quality sequence, but it indeed discards sequences with the same location (see the below example). Surely you can generate fasta sequences accodring to the 2 pass.list files by yourself.
The below is count for an example:
$ wc -l *pass.list
622 genome.fasta.mod.nmtf.pass.list
16305 genome.fasta.mod.pass.list
16927 total
$ grep -c ">" intact_ltr.fa
16296
$ cat *pass.list | cut -f1 | grep -v "#" | sort |uniq | wc -l
16296
from tesorter.
Yep, the empty sequence location does overlap with existing sequence, I guess it's the problem. thx a lot
from tesorter.
Related Issues (20)
- error HOT 3
- error to get phylogeny tree using LTR_tree.R script HOT 9
- Does TEsorter results only contain positive strain? HOT 5
- keyError HOT 5
- Hi~ TEsorter can be worked in animal genoem ? HOT 2
- ValueError: invalid literal for int() with base 10: '0.5' HOT 8
- How to analyze the effect of transposons on plant traits in de novo transcriptome assembly. HOT 4
- ModuleNotFoundError: No module named 'RunCmdsMP' HOT 5
- Problem with concatenate_domains.py HOT 1
- How to identify the homology (synteny) of LTRs? HOT 10
- Insertion time calculation HOT 4
- Crash when special characters occurred in sequence IDs HOT 3
- Can TEsorter classify Class II elements(DNA transposons) into clade-level? HOT 2
- Assistance with custom installation directory HOT 5
- How to obtain the set of distances between LTRs and their adjacent genes? HOT 3
- TEsorter genome.fasta -genome -p 20 -prob 0.9 HOT 1
- Allocation into lineages for metazoan LTR-RTs HOT 4
- How to merge the TEsorter repeat libraires HOT 18
- Exploring the transposition profile of specific LTRs HOT 1
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