Installer echtvar avec Homebrew

Liens du projet

• Page d'accueil
• Dépôt
• Page du gestionnaire de paquets

Commandes et alias

• echtvar

Historique du projet

The public repository was created in November 2021, and the first GitHub release, v0.1.0, was published in January 2022. The README describes echtvar as efficiently encoding variant allele frequency and other information from huge population datasets for rapid annotation at about one million variants per second.

The project is backed by a Nucleic Acids Research article and is developed in the Jeroen de Ridder lab. Its README explains the core design: chunking the genome, encoding variants into compact integers when possible, using zip files, delta encoding, integer compression, and lookup tables for selected integer, float, or low-cardinality string fields.

Historique d'adoption

echtvar's adoption path is a scientific-tool path rather than a broad developer-tool path: users can download static binaries and pre-encoded gnomAD v3.1.2 resources from GitHub releases, or build the Rust project themselves. Homebrew packaging makes it easier to install the executable on developer and analysis workstations.

The project is niche compared with general bioinformatics standards such as htslib, but it fills a practical need for fast annotation/filtering against large population datasets.

Modes d'utilisation

A common workflow is to encode a population VCF once with echtvar encode, then reuse the resulting .echtvar.zip archive for many annotation runs with echtvar anno. The README shows annotation with multiple -e archive arguments and optional filtering expressions such as allele-frequency thresholds.

Encode configuration uses JSON5 to select and rename VCF fields, while annotation consumes decomposed and normalized VCF/BCF inputs and can stream from stdin.

Pourquoi les passionnés de paquets s'y intéressent

echtvar is interesting because it packages a paper-backed bioinformatics data structure as a small Rust CLI. Package managers help users get the executable, while GitHub releases carry large precomputed domain data that would not belong inside a formula.

Its dependency story is also typical of modern bioinformatics packaging: htslib/rust-htslib for VCF/BCF I/O, compression libraries for speed, and a command-line interface meant to slot into pipelines.

Chronologie

• 2021: Public echtvar GitHub repository created.
• 2022: v0.1.0 initial release published.
• 2022: Nucleic Acids Research article page published for echtvar.
• 2026: v0.2.4 released, with repository activity continuing.

Related projects

• The README credits htslib via rust-htslib for reading and writing BCF/VCF.
• gnomAD is the main example population resource used for pre-encoded echtvar archives.
• stream-vbyte, bincode, and fasteval are part of the implementation and expression-evaluation story described by the README.

Sources

• https://github.com/brentp/echtvar
• https://raw.githubusercontent.com/brentp/echtvar/main/README.md
• https://github.com/brentp/echtvar/releases
• https://api.github.com/repos/brentp/echtvar
• https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac931/6775383