v0.3.1

Full Changelog: v0.3.0...v0.3.1

v0.3.0

[0.3.0] - 2026-03-25

Added

• Per-sequence label columns for storing SAM-tag metadata (alignment scores,
  edit distances, etc.) alongside compressed sequences
  • Labels defined via --label NAME:TYPE on the CLI (repeatable)
  • 11 numeric dtypes: A, c/C, s/S, i/I, f, d, q/Q
  • Per-label missing value for reads where a tag is absent
  • Columnar storage: each label column packed contiguously per block
• Decoupled label name and tag — label name (stored in ZNA, up to 16
  chars) can differ from the SAM tag parsed at encode time
  • CLI 3-part format: --label edit_dist:C:NM (name:type:tag)
  • YAML: optional tag field per label definition
  • Tag is encode-time only; not stored in the ZNA file
  • If only name or tag is given, the other defaults to the same value
• YAML label specification files (--label-defs labels.yaml)
  • Define labels, descriptions, dtypes, and missing values in a single file
  • CLI --label / --label-desc flags override YAML definitions
  • Sample template: examples/labels.yaml
• C++ accelerated label encode/decode — labeled files now use the C++
  backend for both encoding and decoding, eliminating the Python fallback
  • encode_block_labeled: encodes sequences + pre-packed label columns in C++
  • decode_block_labeled: decodes sequences and unpacks label columns by dtype
  • extract_labels_fast: zero-allocation C++ SAM-tag extraction from headers
• Optimized Python header parsing (fallback path)
  • Eliminated bytes.decode() calls — int()/float() accept bytes directly
  • Replaced lambda dispatch with integer conv-codes
  • Early-exit when all labels found

Performance

• Labeled encode: 336K rec/s (was 80K rec/s) — 4.2× faster
• Labeled decode: 2.23M rec/s (was 610K rec/s) — 3.7× faster
• Label overhead reduced from ~39% to within typical I/O variance

Changed

• Binary format: label definition on-disk size is now 89 bytes
  (16 name + 64 desc + 1 dtype_code + 8 missing)
• LabelDef.param replaced by LabelDef.missing (explicit missing sentinel)
• Header field splitting uses any whitespace (tabs and spaces) so fastp
  merged_XX_YY suffixes no longer corrupt trailing tag values
• Label tag parsing now supports variable-length keys in KEY:TYPE:VALUE
  header fields (not limited to 2-character SAM tags)
  • Python fallback parser and C++ extract_labels_fast use dynamic key parsing
  • Supports mixed key lengths in the same header (e.g. NM + edit_distance)
• Dropped fixstr (Z) label type — all labels are numeric

Documentation

• Expanded README strand guidance to explicitly document
  --strand-normalize behavior and its interaction with --strand-specific
• Updated label docs and examples/labels.yaml to show name + tag
  decoupling and custom non-SAM, variable-length header keys

v0.2.0

strand normalization feature

ZNA v0.1.8

Published to bioconda, pypi

ZNA v0.1.7

redo this release

ZNA v0.1.5

• change to compressed block storage format to improve compression ratio
• performance optimizations

ZNA v0.1.4

• Performance updates. Integration with pypi and conda.
• Default to compressed format, uncompressed only if user specifies

Full Changelog: v0.1.2...v0.1.4

ZNA v0.1.2

• Support for "N" nucleotides with options for handling them
• Support for mixed paired-end and single-end interleaved reads

Full Changelog: v0.1.1...v0.1.2

ZNA v0.1.1

adds support for strand specific reads

ZNA v0.1.0

Full Changelog: https://github.com/mkiyer/zna/commits/v0.1.0