A suite of command-line tools for manipulating SAM, BAM, and CRAM files in next-generation sequencing data analysis.
Samtools is a suite of command-line utilities for manipulating and analyzing next-generation sequencing data stored in SAM, BAM, and CRAM formats. It provides essential tools for sorting, indexing, querying, and generating pileup data, forming a core component of genomic analysis pipelines. The project solves the need for efficient, reliable processing of large-scale sequencing datasets.
Bioinformaticians, genomic researchers, and data scientists working with high-throughput sequencing data who require robust command-line tools for data manipulation and analysis.
Developers choose Samtools for its proven reliability, extensive feature set, and tight integration with the HTSlib ecosystem. It is a standard tool in genomics with widespread adoption, offering performance-optimized utilities that are essential for professional sequencing pipelines.
Tools (written in C using htslib) for manipulating next-generation sequencing data
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Cited in over a decade of genomics research with millions of installs via Bioconda, ensuring proven stability for production pipelines as highlighted in the GigaScience paper.
Provides optimized tools for sorting, indexing, and converting SAM/BAM/CRAM files, which are core to handling large sequencing datasets in genomic workflows.
mpileup function generates pileup data that works directly with BCFtools, enabling smooth variant analysis pipelines as stated in the key features.
Built on HTSlib with a split into coordinated projects (htslib, samtools, bcftools), allowing tight integration and customizable builds per the README.
Building from Git requires multiple autotools steps (autoheader, autoconf, configure), which can be error-prone and demands developer expertise, as detailed in the INSTALL instructions.
The original package is divided into htslib, samtools, and bcftools, complicating dependency management and initial setup for new users, as noted in the README's project description.
README focuses primarily on building with minimal usage examples, forcing users to rely on external manuals and community resources for practical guidance.