Changelog

Release notes.

All versions of Genome. Highlights as a quick overview; the individual entries contain the full notes.

31 May 2026

Genome 1.4.1

Release
  • Genome 1.4.1 released as the current macOS download: Genome-1.4.1.dmg, 12.58 MB, SHA256 22bfa9761917680131231fa88fc8ea6d88ba864fd450e42df79bcfb7333e383f
  • Product page explains the external analysis tools: KILDA, HLA*LA, T1K, Aldy4, ExpansionHunter, microarray panel and PGS Catalog files
  • PDF reports are described more clearly by medical genomics and pharmacogenetics
  • Genome gallery fixed: the faulty first screenshot was removed; screenshot 01 now shows Conversion
14 May 2026

Genome 1.3.0

Release
  • PDF-first reports sharpened further: modular result blocks, clear risk/context labels and raw data at the end
  • Tools, reference and validation surfaces stabilized further, with better status language and cleaner prerequisites
  • Homepage release updated: Genome 1.3.0 as the current download with update manifest
25 April 2026

Genome 1.2.0

Release
  • Clinical annotations directly in the HLA report: disease-relevant alleles are highlighted inline
  • Variant calling with scatter-gather (β): GATK HaplotypeCaller runs per chromosome in parallel, much faster on many-core machines
  • Pipeline tool settings are now retained between app launches
23 April 2026

Genome 1.1.0

Release
  • HLA report in the PJ Labs document style: calm cards, consistent radii, clearer hierarchy
  • Errors from ClinVar and pipeline steps are now reported visibly instead of vanishing silently
  • Faster Y haplogroup analysis through reused date computation
15 April 2026

Genome 1.0.0

Release
  • FASTQ pipeline in an 8-step architecture with optional fastp trimming and adaptive thread assignment
  • Flat design fully migrated to PJ Labs tokens, app icon to Apple HIG standard 824
  • Local domain reports for HLA, pharmacogenetics, microarray and haplogroups
  • Microarray extraction for 23andMe v3–v5, AncestryDNA, FTDNA, Living DNA, MyHeritage, GEDmatch
  • MT-DNA haplogroups via Haplogrep, Y haplogroup through a custom ISOGG marker approach
  • CNV analysis LPA/KIV-2 with a samtools coverage-ratio method