minimap2
seqtk
minimap2 | seqtk | |
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5 | 8 | |
1,688 | 1,312 | |
- | - | |
7.6 | 5.1 | |
7 days ago | 6 months ago | |
C | C | |
GNU General Public License v3.0 or later | MIT License |
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minimap2
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Ask HN: Comment here about whatever you're passionate about at the moment
Interested as well! But the future is not so dark, things like e.g. https://github.com/lh3/minimap2 are a breath of fresh air.
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BLAST 10,000 genes?
No experience with this maybe try minimap2(https://github.com/lh3/minimap2) if this doesn't work fall back on blast/blat
- Truncating genome fastas to just overlapping regions
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Alignment of long reads to plasmid and generation of consensus sequence.
You can try minimap2 to align your long reads to your expected plasmid
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Questions about WGS mapping
It sounds like the mapping wasn't very good, you might want to try minimap2 as it is a newer algorithm.
seqtk
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Illumina adapters and quality trimming
seqtk: A lightweight and versatile tool for processing FASTQ and FASTA files. https://github.com/lh3/seqtk
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looking for a tool to filter non-coding regions/excise ORFs from a draft assembly
Perhaps seqtk could be helpful https://github.com/lh3/seqtk
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Help with understanding awk code
You could also check out tools specialized for FASTA processing like https://github.com/shenwei356/seqkit and https://github.com/lh3/seqtk
- !help
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Doubts with my first ever mRNA-seq QC analysis
If I were to analyze I would use a random fastq sampler like Seqtk and bring all your samples to a lowest read depth of your 27 libraries although I wouldn't analyze a library with less than 2mil reads. 5 mil is fine for differential, you can obviously get more reads and probably received more information but increasing read depth may plateau.
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Reverse sequencing of fastq file
It's a little toolkit written by one of the Illuminati of the Bioinformatics world: seqtk on GH
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[Help] Copying head of fastq file into a .txt file named .fastq, doesn't include the header resolving in an error when converting to .bam file.
I recommend installing seqtk, which makes this easy. Of course sed/awk/perl are theoretically entirely sufficient but why make life more difficult than necessary?
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Looking for small SRA Data Sets
Most SRA files are grouped by projects. On a basic level for something common like RNA-seq you will have replicates of the control and treatment/diseased samples. Each file (i.e. sample) contains raw sequencing reads, usually millions per sample. You could randomly subsample the sequencing reads very easily using many tools (common choice is https://github.com/lh3/seqtk). There is no way you are going to assemble an animal genome with MB file sizes (for example the human genome itself is already over 3GB in size). You should probably look for bacterial or viral DNA samples and subset those to an appropriate size.
What are some alternatives?
bwa-mem2 - The next version of bwa-mem
seqkit - A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
seqstats - Quick summary statistics on fasta/fastq(.gz) files
samtools - [Moved to: https://github.com/ingolia/SamTools]
slivar - genetic variant expressions, annotation, and filtering for great good.
htslib - C library for high-throughput sequencing data formats
MethylDackel - A (mostly) universal methylation extractor for BS-seq experiments.
samtools - Tools (written in C using htslib) for manipulating next-generation sequencing data
bwa-mem2 - The next version of bwa-mem
bam-filter - Use simple expressions to filter a BAM/CRAM file
Klib - A standalone and lightweight C library
MMseqs2 - MMseqs2: ultra fast and sensitive search and clustering suite