bowtie2
A fast and sensitive gapped read aligner (by BenLangmead)
STAR
RNA-seq aligner (by alexdobin)
Our great sponsors
bowtie2 | STAR | |
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2 | 8 | |
615 | 1,727 | |
- | - | |
7.6 | 5.5 | |
about 2 months ago | about 2 months ago | |
C++ | C | |
GNU General Public License v3.0 only | 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.
bowtie2
Posts with mentions or reviews of bowtie2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-14.
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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
STAR
Posts with mentions or reviews of STAR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-25.
- How to index for STAR and BWA?
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Linux Workstation for Bio-informatics Data Analysis
I will be using this PC to run Analyses using R studio and Python. For the most part I will be working with genomic sequencing data and other cell data. I will be using different bash software (STAR, FeatureCounts) and other packages in R (Seurat) and Python ((UMAP)[https://umap-learn.readthedocs.io/en/latest/]). I also wanted to try using some other analyses software such as 10x Genomics' CellRanger.
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[STAR aligner] Why is my genome incompatible when the version used to generate it is the same as my current STAR version?
According to this, the issue should have been resolved in 2.7.4a. Does anyone know how I could go about fixing this? Appreciate any thoughts.
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What are the pros and cons of pseudo alignment tools like Kallisto and should I be using these?
The main claim is that pseudo-alignment is much faster than traditional alignment, but often I see pseudo-alignment to transcriptome compared to alignment to genome. Though STAR at least has issues building indices for transcriptomes. I wanted to try to benchmark myself if alignment to transcriptome is much slower than pseudo-alignment, but it asked for 100gb of RAM to create an index for 250mb of mm10 transcriptome. This issue shows that STAR shockingly requests for 1TB of ram to build an index for a 900mb axolotl transcriptome. So even if the alignment itself might be fast, the indexing is not fit-for-purpose.
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[Subread][MSYS2 MinGW][Windows] How to install Subread using MSYS2 MinGW?
Thanks for this. I ended up installing windows subsystem for linux (WSL). Could I ask if you've used STAR on WSL (ubuntu) before? I'm having trouble with the steps after compiling the STAR executable, which I was able to:
- I need to align my MiSeq data using STAR
- Computationally intensive steps in RNA-seq analysis
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Mapping all sequences (NOT READ COUNTS) in a SAM/BAM file that has genome coordinates to their genes
I believe the most straightforward solution would be to add a tag that designates which gene the read overlaps (if any). Lucky for you, this is now implemented in star as of version 2.7.3a. I've actually not used this feature yet, but I believe it is done using the flag --outSAMattributes GN see here.
What are some alternatives?
When comparing bowtie2 and STAR you can also consider the following projects:
bwa-mem2 - The next version of bwa-mem
megahit - Ultra-fast and memory-efficient (meta-)genome assembler
seq - A high-performance, Pythonic language for bioinformatics
kraken2 - The second version of the Kraken taxonomic sequence classification system
fastp - An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
IntaRNA - Efficient target prediction incorporating accessibility of interaction sites
CHM13 - The complete sequence of a human genome
vg - tools for working with genome variation graphs