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Sequences and consequences. Credit Pic : Cellular landscape cross-section through a eukaryotic cell, by Evan Ingersoll

Rduckhts: 'DuckDB' 'HTS' File Reader Extension for 'R' Bundles the 'duckhts' 'DuckDB' extension for reading 'HTS' file formats (VCF/BCF, SAM/BAM/CRAM, FASTA, FASTQ, GFF, GTF, tabix) from 'R' via 'DuckDB'. The extension and its 'htslib' dependency are compiled from vendored sources during package installation. Authors:Sounkou Mahamane Toure [aut, cre], htslib authors [ctb], DuckDB C Extension API authors [ctb] Rduckhts_0.1.1-0.0.1.tar.gz Rduckhts_0.1.1-0.0.1.zip(r-4.6)Rduckhts_0.1.1-0.0.1.zip(r-4.5)Rduckhts_0.1.1-0.0.1.zip(r-4.4) Rduckhts_0.1.1-0.0.1.tgz(r-4.6-any)Rduckhts_0.1.1-0.0.1.tgz(r-4.5-any) Rduckhts_0.1.1-0.0.1.tar.gz(r-4.6-any)Rduckhts_0.1.1-0.0.1.tar.gz(r-4.5-any) Rduckhts.pdf |Rduckhts.html✨ Rduckhts/json (API) NEWS # Install 'Rduckhts' in R: install.packages('Rduckhts', repos = c('https://rgenomicsetl.r-universe.dev', 'https://cloud.r-project.org')) Bug tracker:https://github.com/rgenomicsetl/duckhts/issues0 issues On CRAN: no 3.75 score 12 exports 2 dependencies Last updated0 hours ago from:e99a28a305. Checks:7 OK, 1 NOTE, 1 FAIL. Indexed: yes. Citation To cite package ‘Rduckhts’ in publications use: Toure S (2026). Rduckhts: 'DuckDB' 'HTS' File Reader Extension for 'R'. R package version 0.1.1-0.0.1, https://github.com/rgenomicsetl/duckhts. Corresponding BibTeX entry: @Manual{, title = {Rduckhts: 'DuckDB' 'HTS' File Reader Extension for 'R'}, author = {Sounkou Mahamane Toure}, year = {2026}, note = {R package version 0.1.1-0.0.1}, url = {https://github.com/rgenomicsetl/duckhts}, }
Rtinycc is an R interface to TinyCC, providing both CLI access and a libtcc-backed in-memory compiler. It includes an experimental FFI inspired by Bun’s FFI for binding C symbols with predictable type conversions and pointer utilities. The package targets Unix-alike systems and focuses on embedding TinyCC and enabling JIT-compiled bindings directly from R. Combined with treesitter.c, which provides C header parsers, it can be used to rapidly generate declarative bindings.
The onion of R from The R ByteCode Book by Mike Chen Describing Levels of R code interpretation to compilation
the Later package demo, planning taks to run later when r is idle
Open BCF/VCF in duckbd Tables in R using a bcf_reader duckdb extension based on htslib
Paper abstract : Comparing R Bytecode Compilers Written in R, Java, and Rust This paper presents a comparative analysis of three implementations of the R bytecode compiler: the official R implementation, a Java-based compiler, and a Rust-based compiler. The R compiler, written in R itself, poses challenges in terms of performance and maintainability. We evaluate designs of the compilers, their trade-offs, and performance characteristics. The Rust version outperforms the Java version, which itself outperforms the R version.