⬆️ version bump to v4.5

- Update obioptions.Version from "Release 4.4.29" to "/v/ Release v5"
- Update version.txt from 4.29 → .30
(automated by Makefile)

autodoc/docmd/pkg/obiseq/biosequenceslice.md

@@ -0,0 +1,37 @@
+# `obiseq` Package: BioSequence Collection Management
+
+The `obiseq` package provides a high-performance, memory-efficient implementation for managing collections of biological sequences (`BioSequence`) in Go. Its core type is `BioSequenceSlice`, a slice of pointers to `BioSequence` objects, optimized for batch processing in metagenomic pipelines.
+
+### Key Functionalities
+
+- **Memory Pooling & Allocation Control**:  
+  `NewBioSequenceSlice` and `MakeBioSequenceSlice` allow creating slices with optional capacity hints.  
+  `EnsureCapacity(capacity)` dynamically grows the underlying slice while logging warnings or panicking on persistent allocation failures.
+
+- **Efficient Element Management**:  
+  - `Push(sequence)`: Appends a sequence to the end.  
+  - `Pop()`: Removes and returns the last element (nil-safe).  
+  - `Pop0()`: Efficiently removes and returns the first element.  
+
+- **Collection Metadata Queries**:  
+  - `Len()`: Returns number of sequences in the slice.  
+  - `Size()`: Computes total sequence length (summing all `.Len()`).  
+  - `NotEmpty()`: Boolean check for non-empty collections.  
+
+- **Attribute Aggregation**:  
+  `AttributeKeys(skip_map, skip_definition)` aggregates all attribute keys across sequences into a set—useful for schema inference or validation.
+
+- **Sorting Capabilities**:  
+  - `SortOnCount(reverse)`: Sorts by read count (descending/ascending).  
+  - `SortOnLength(reverse)`: Sorts by sequence length.
+
+- **Taxonomy Integration**:  
+  `ExtractTaxonomy(taxonomy, seqAsTaxa)` builds or extends a taxonomic tree from sequence paths.  
+  When `seqAsTaxa=true`, it injects pseudo-taxonomic labels for individual sequences (e.g., `OTU:SEQ0000012345 [seqID]@sequence`), enabling unified taxonomic/rarefaction workflows.
+
+### Design Highlights
+
+- Minimal allocations via manual slice management and `slices.Grow`.  
+- Explicit niling of popped elements to aid garbage collection.  
+- Integrated logging (via `logrus`) for allocation issues—critical in large-scale NGS data processing.  
+- Designed to support `BioSequenceBatch`, a higher-level abstraction for streaming or parallelizable sequence batches.