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| Bowtie (bioinformatics) | |
|---|---|
| Name | Bowtie |
| Developer | Johns Hopkins University/Broad Institute |
| Released | 2009 |
| Programming language | C++ |
| Operating system | Linux, macOS, Windows (via ports) |
| License | GNU General Public License / permissive |
Bowtie (bioinformatics) is a widely used open-source read alignment tool for aligning short nucleotide sequences to large reference genomes. Developed for high-throughput sequencing workflows, it emphasizes speed and memory efficiency for mapping reads produced by platforms such as Illumina and Ion Torrent. Bowtie integrates with pipelines developed at institutions like Broad Institute, Wellcome Trust Sanger Institute, and European Bioinformatics Institute.
Bowtie originated to address the challenges posed by large datasets generated by 2008 Next-Generation Sequencing advances and instruments from Illumina and Applied Biosystems. The project was led by researchers at Johns Hopkins University and collaborated with groups at the Broad Institute and University of Washington. It competes and interoperates with aligners such as BWA (software), MAQ (software), SOAP (software), and successors like HISAT2 and STAR (software). Bowtie is frequently integrated into analysis suites from Galaxy (platform), Bioconductor, and workflow systems used by centers like National Center for Biotechnology Information and European Nucleotide Archive.
Bowtie's core algorithm uses an index based on the FM-index and the Burrows–Wheeler Transform developed by Burrows–Wheeler transform pioneers and applied in bioinformatics by groups including Ferragina and Manzini. The implementation relies on succinct data structures to achieve low memory usage, inspired by work at Massachusetts Institute of Technology and algorithmic concepts from researchers such as Gusfield. Bowtie performs backtracking-based alignment on a seed-and-extend framework similar in spirit to approaches refined by teams at University of California, Berkeley and University of Michigan. The aligner is written in C++ and optimized for x86 architectures, with portability efforts by contributors from SourceForge and GitHub communities.
Bowtie supports single-end and paired-end read alignment and offers tunable parameters for seed length, mismatches, and reporting of multiple alignments. Performance benchmarks from groups at European Molecular Biology Laboratory and Cold Spring Harbor Laboratory show that Bowtie excels in speed and peak memory use compared to early aligners from Broad Institute contemporaries. It handles short reads efficiently via a compact index, enabling mapping of human-scale references such as Human genome builds used by projects like the 1000 Genomes Project and ENCODE Project. Bowtie's output formats integrate with tools developed at Genome Analysis Toolkit and standards maintained by SAMtools and the Sequence Read Archive ecosystem.
Researchers at institutions including Harvard University, Stanford University, University of Cambridge, and Max Planck Society have used Bowtie for applications in whole-genome resequencing, transcriptomics, metagenomics, and epigenomics. Workflows combine Bowtie with assemblers and quantifiers from groups like Trinity (software), Cufflinks, and DESeq2 to support analyses in projects such as Cancer Genome Atlas and agricultural genomics efforts at USDA. Bowtie is incorporated into pipelines for variant discovery alongside tools from Broad Institute and European Bioinformatics Institute and serves as a preprocessing step for downstream software from Picard (software) and GATK.
Bowtie was designed primarily for short reads and has limitations when mapping longer reads from platforms developed by Pacific Biosciences and Oxford Nanopore Technologies. Its original design trades sensitivity for speed, which can reduce mapping accuracy in regions with high polymorphism or structural variation—issues also encountered by aligners discussed by researchers at Wellcome Trust Sanger Institute and Broad Institute. Users working with spliced transcripts often prefer tools tailored to that problem, such as TopHat (which historically used Bowtie) or HISAT2, created by groups at Johns Hopkins University and collaborators. Careful parameter tuning and post-alignment processing with utilities from SAMtools and BEDTools are commonly recommended to mitigate biases highlighted by consortia like ENCODE Project.
Bowtie's development history includes an initial release and later branches: Bowtie 1 focused on ultrafast short-read alignment, while subsequent projects and forks addressed gaps in gapped alignment and splice-aware mapping. Key contributors came from Johns Hopkins University, Broad Institute, and community members associated with Open Bioinformatics Foundation. The software has been distributed through package managers supported by Bioconda, Debian, and Homebrew, and cited in thousands of publications tracked by PubMed and indexing services at CrossRef. The ecosystem spawned downstream tools and influenced aligner design in projects at European Bioinformatics Institute, National Institutes of Health, and academic centers worldwide.
Category:Bioinformatics software