You can find the full study on the GigaScience journal website or via PubMed .
Large genomic datasets are often split into smaller "RAR" or "ZIP" parts (e.g., .part1, .part2) to make downloading and uploading via FTP servers more stable. Where to find the paper and data: GIA025-027.part5.rar
published in GigaScience (2020) by researchers Vogel et al. Context of the File You can find the full study on the
The "GIA" prefix typically corresponds to project IDs within the BGI (Beijing Genomics Institute) or GigaDB systems. In this case, files GIA025, GIA026, and GIA027 contain Oxford Nanopore long-read sequencing data used to build a high-quality de novo genome assembly. Context of the File The "GIA" prefix typically
This specific dataset is associated with the landmark paper:
The complete metadata and all parts of the archive are hosted at GigaDB (Dataset ID: 100735).
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