⬆️ 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/obichunk/chunks_on_memory.md

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+# `ISequenceChunkOnMemory` Function — Semantic Description
+
+The function `Isequencechunkonmemory`, from the Go package `obichunk`, implements **asynchronous in-memory chunking** of biological sequence data.
+
+It consumes an iterator over `BioSequence` objects and distributes them into **heterogeneous batches** using a provided classifier. The core purpose is to group sequences by classification (e.g., sample, taxon, or feature), store each group in memory as a slice (`BioSequenceSlice`), and emit them sequentially via an output iterator.
+
+Key features:
+- **Parallel processing**: Each classification group (referred to as a *flux*) is processed in its own goroutine.
+- **Thread-safe aggregation**: A mutex ensures safe concurrent updates to shared `chunks` and `sources` maps.
+- **Lazy emission**: Batches are emitted only after all classification groups have been fully processed (`jobDone.Wait()`).
+- **Ordered output**: Batches are emitted in increasing `order` index (0, 1, …), preserving determinism despite parallel internal processing.
+- **Error handling**: Critical failures (e.g., channel retrieval errors) terminate the program with `log.Fatalf`.
+
+Input:
+- An iterator (`obiiter.IBioSequence`) of raw sequences.
+- A `*obiseq.BioSequenceClassifier`, used to route each sequence into a classification bucket.
+
+Output:
+- A new iterator yielding `BioSequenceBatch` objects, each containing all sequences belonging to one classification group and its source identifier.
+
+Use case: Efficient parallel preprocessing of high-throughput sequencing data into sample- or taxon-specific batches for downstream analysis.