This commit introduces significant changes to the sequence processing pipeline, implementing parallel loading, k-mer budget control, explicit memory management, and refined logic for pair evaluation and resolution.
This update introduces logic for handling embedded taxonomy, allowing users to specify taxonomy or extract it from sequences, while optimizing performance through reduced memory usage. It also adds batch reordering capabilities and implements comprehensive testing to ensure correct precedence rules and robust error handling for missing taxonomic paths.
This update introduces new configuration options for pair selection, including multi-match filtering, circularity settings, and reference site validation. It also enhances the search functionality to correctly identify and track repeated sequences and reference locations, improving the accuracy of primer pair identification.
This change introduces the `obiprimers` command-line tool and a complete search pipeline for identifying primer pairs. It includes new data structures for pair evaluation, comprehensive search configuration options, and detailed CSV output handling for results.
Introduces parallel processing for clustering, refines scoring mechanisms, and expands test coverage for the alignment functionality.
This change introduces parallel processing capabilities within the clustering logic, updates the core similarity engine with new data structures and scoring methods, and implements a comprehensive test suite for the alignment tool. It also adds new command-line options for configuring alignment parameters and reference lengths.
This update introduces the core clustering algorithm, including parallel execution, dynamic block sizing, and SIMD-accelerated scoring methods. It also adds robust sequence preparation, k-mer analysis, and comprehensive test data fixtures for validation.
This commit introduces core functionality for oligonucleotide family tagging, constrained k-mer generation, and clique finding. It also includes updates to the Go language version and refactors the logic for k-mer dissimilarity metrics.
- Enforce requirement of both forward (-F) and reverse files in obipairing/main.go
- Add config template support to obtagpcr via CLIAskConfigTemplate()
- Remove redundant Required() constraints in options.go
- Introduce new helper CLIHasPairedFiles()
This commit refactors the k-mer index management tools to use a unified subcommand structure with obik, adds support for per-set metadata and ID management, enhances the k-mer set group builder to support appending to existing groups, and improves command-line option handling with a new global options registration system.
Key changes:
- Introduce obik command with subcommands (index, ls, summary, cp, mv, rm, super, lowmask)
- Add support for per-set metadata and ID management in kmer set groups
- Implement ability to append to existing kmer index groups
- Refactor option parsing to use a global options registration system
- Add new commands for listing, copying, moving, and removing sets
- Enhance low-complexity masking with new options and output formats
- Improve kmer index summary with Jaccard distance matrix support
- Remove deprecated obikindex and obisuperkmer commands
- Update build process to use the new subcommand structure
Refactor k-mer index building to use the new disk-based KmerSetGroupBuilder instead of the old KmerSet and FrequencyFilter approaches. This change introduces a more efficient and scalable approach to building k-mer indices by using partitioned disk storage with streaming operations.
- Replace BuildKmerIndex and BuildFrequencyFilterIndex with KmerSetGroupBuilder
- Add support for frequency filtering via WithMinFrequency option
- Remove deprecated k-mer set persistence methods
- Update CLI to use new builder approach
- Add new disk-based k-mer operations (union, intersect, difference, quorum)
- Introduce KDI (K-mer Delta Index) file format for efficient storage
- Add K-way merge operations for combining sorted k-mer streams
- Update documentation and examples to reflect new API
This refactoring provides better memory usage, faster operations on large datasets, and more flexible k-mer set operations.
Refactor kmer index package to use disk-based partitioning with minimizer
- Replace roaring64 bitmaps with disk-based kmer index
- Implement partitioned kmer sets with delta-varint encoding
- Add support for frequency filtering during construction
- Introduce new builder pattern for index construction
- Add streaming operations for set operations (union, intersect, etc.)
- Add support for super-kmer encoding during construction
- Update command line tool to use new index format
- Remove dependency on roaring bitmap library
This change introduces a new architecture for kmer indexing that is more memory efficient and scalable for large datasets.
This commit adds the implementation of the obisuperkmer command, including:
- The main command in cmd/obitools/obisuperkmer/
- The package implementation in pkg/obitools/obisuperkmer/
- Automated tests in obitests/obitools/obisuperkmer/
- Documentation for the implementation and tests
The obisuperkmer command extracts super k-mers from DNA sequences, following the standard OBITools architecture. It includes proper CLI option handling, validation of parameters, and integration with the OBITools pipeline system.
Tests cover basic functionality, parameter validation, output format, metadata preservation, and file I/O operations.
Eric Coissac