IntaRNA
Efficient target prediction incorporating accessibility of interaction sites (by BackofenLab)
fastp
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...) (by OpenGene)
IntaRNA | fastp | |
---|---|---|
1 | 9 | |
44 | 1,779 | |
- | 2.5% | |
7.2 | 4.7 | |
9 days ago | about 1 month ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
IntaRNA
Posts with mentions or reviews of IntaRNA.
We have used some of these posts to build our list of alternatives
and similar projects.
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IntaRNA optimization
There might be, the code is open source (https://github.com/BackofenLab/IntaRNA/) so just download it, and run it through a code profiler, see where most of the runtime is spend and optimise the code.
fastp
Posts with mentions or reviews of fastp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
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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.