My experiments in weaponizing Nim (https://nim-lang.org/)

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

fast sample-swap and relatedness checks on BAMs/CRAMs/VCFs/GVCFs... "like damn that is one smart wine guy"

genetic variant expressions, annotation, and filtering for great good.

A port of ggplot2 for Nim

nim wrapper for htslib for parsing genomics data files

don't get DUP'ed or DEL'ed by your putative SVs.

seqcover allows users to view coverage for hundreds of genes and dozens of samples

use the noise

pedigree file parsing and relatedness calculations for nim