fastp
bowtie2
| fastp | bowtie2 | |
|---|---|---|
| 9 | 2 | |
| 1,775 | 619 | |
| 2.3% | - | |
| 4.7 | 7.4 | |
| 27 days ago | 9 days ago | |
| C++ | C++ | |
| MIT License | GNU General Public License v3.0 only |
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fastp
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R pipelines for bulk RNA-seq analyses
fastp + multiQC + Salmon + DESeq2 all some nextflow workflow. It is a good exercise (not complicated) to create the pipeline from scratch the first time to properly understand each tool.
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NHI Genome Studies: Mexico Govt Sept 12 Congressional hearing
1) QC the data with fastp. This'll trim out adapters and toss reads that are poor quality.
- Illumina adapters and quality trimming
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Low-complexity sequence filtering tool
fastp has an adjustable low complexity filter option.
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Can you evaluate my pipeline?
- in terms of preprocessing and QC, I prefer fastp (https://github.com/OpenGene/fastp)
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Current QC tools for short read and long read sequencing
I generally use fastp as an all-in-one tool for short reads: https://github.com/OpenGene/fastp
- Qurstion about automating trimming process
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What methods (conda installable only please) can you use to determine the complexity of a fastq file? (e.g., kmer analysis)
I don't know if this fits exactly what you need, but I'm using fastp to check my fastq.gz files lately: https://github.com/OpenGene/fastp. You can install it via conda.
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A tool to count basepair in fastq file
If you also need some other basic statistics or want to filter the reads you can try fastp (https://github.com/OpenGene/fastp). If only the basepair count is needed, awk might be the fastest solution as suggested before.
bowtie2
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NHI Genome Studies: Mexico Govt Sept 12 Congressional hearing
2) Use bowtie2 to align reads against CHM13. This will let you separate human from nonhuman (important, as human sequences are a common contaminant in many nonhuman genomes).
- Computationally intensive steps in RNA-seq analysis
What are some alternatives?
galaxy - Data intensive science for everyone.
STAR - RNA-seq aligner
readfq - A simple tool to calculate reads number and total base count in FASTQ file
bwa-mem2 - The next version of bwa-mem
glslSmartDeNoise - Fast glsl deNoise spatial filter, with circular gaussian kernel, full configurable
megahit - Ultra-fast and memory-efficient (meta-)genome assembler
nextclade - Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement
seq - A high-performance, Pythonic language for bioinformatics
readfq - Fast multi-line FASTA/Q reader in several programming languages
IntaRNA - Efficient target prediction incorporating accessibility of interaction sites
seqtk - Toolkit for processing sequences in FASTA/Q formats
kraken2 - The second version of the Kraken taxonomic sequence classification system