RagTag
snippy
RagTag | snippy | |
---|---|---|
5 | 6 | |
431 | 437 | |
- | - | |
0.0 | 3.9 | |
3 months ago | 7 months ago | |
Python | Perl | |
MIT License | GNU General Public License v3.0 only |
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RagTag
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Bacterial reference-guided assembly vs. de-novo assembly unicycler?
Has anyone used ragtag to correct bacterial assemblies (https://github.com/malonge/RagTag/wiki/correct) ? Is it helpful?
- Question about genome assembly tools
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how to improve denovo genome assembly with additional sequencing data.
Use ragtag. https://github.com/malonge/RagTag
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Recommended tools for reference-guided genome assembly
RagTag. Not sure how well it works for small genomes.
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How to find sequence variations from contigs
My first idea was to assemble the contigs into scaffolds (e. g. using RagTag) and then look for a tool that can identify these mutations. However, I've also come across snippy, which is a tool that can identify mutations from reads. I don't know if I can just apply it to contigs though (probably not).
snippy
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Help/recommendations for whole genome sequence analysis
This should be of help, if you think you can get have a decent (closely related) reference genome from NCBI: https://github.com/tseemann/snippy
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Software to automatically detect SNP's between 2 or more genomes?
snippy is a nice tool for this!
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Microbiome - would it be reasonable to assume that a bacterial contaminant (eg during library prep) would be the same isolate across contaminated samples?
So, let's say I have a batch of 20 samples, and I found evidence for my genus of interest in 5. What I've done is used Snippy (https://github.com/tseemann/snippy) with mapping based on a reference species in the genus. Snippy finds shared "core" regions of the reference species that are present in all samples and compares the SNPs between the samples. I find that each sample has distinct SNPs, which I believe indicates that the bacteria in each sample are not the same isolate. Thus, I am trying to argue that the bacteria could not have come from a shared contamination event during library prep. Does this make things more clear?
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How to find sequence variations from contigs
My first idea was to assemble the contigs into scaffolds (e. g. using RagTag) and then look for a tool that can identify these mutations. However, I've also come across snippy, which is a tool that can identify mutations from reads. I don't know if I can just apply it to contigs though (probably not).
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Sorting reads to references with high identity
I would use snippy for this if there references are haploid genomes https://github.com/tseemann/snippy
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Inquiry regarding Snippy (by Seemann). My job has been running for more than 5 days with no update. Can anyone help me?
[18:37:12] Obtained from https://github.com/tseemann/snippy
What are some alternatives?
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DIF - "DNA IMAGE FOOTPRINT" The main idea is to convert a DNA sequence to an image to find any related sequences in the image with common algorithms
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idba