kaiju_mycobacterium_pre-compiled
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Kaiju database – Mycobacterium pre-compiled subset (2024 release) This dataset provides a pre-compiled Kaiju database containing protein sequences exclusively from the genus Mycobacterium, extracted from the NCBI NR/RefSeq repositories (August 2024). The database was built to optimize the taxonomic classification of sequencing reads from Mycobacterium tuberculosis and related species, significantly reducing computational requirements compared to the full Kaiju NR database (~100 GB).Unlike the standard Kaiju NR database or raw FASTA-based subsets, this release distributes the final Kaiju index files already built, allowing immediate use in analysis pipelines without requiring database construction. This subset includes representative genomes from Mycobacterium tuberculosis, M. bovis, M. africanum, M. smegmatis, and other clinically or environmentally relevant species within the genus. Contents: kaiju_db_mycobacterium_2024.fmi — Kaiju formatted database index nodes.dmp, names.dmp — NCBI taxonomy mapping files Total size: ~1 GBKaiju version: compatible with ≥ 1.9.0Reference source: NCBI NR/RefSeq (retrieved August 2024) Use case:Designed for pipelines performing taxonomic classification and contamination screening of Mycobacterium sequencing data, enabling faster execution while maintaining taxonomic resolution at the species level. Recommended citation: Kaiju database – Mycobacterium subset (2024 release). Zenodo. https://10.5281/zenodo.17554952 Menzel, P., Ng, K. L., & Krogh, A. (2016). Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nature Communications, 7, 11257. https://doi.org/10.1038/ncomms11257
Kaiju数据库（Kaiju）——分枝杆菌属预编译子集（2024发布版） 本数据集提供预编译的Kaiju数据库，仅包含从NCBI NR/RefSeq数据库（2024年8月）中提取的分枝杆菌属（Mycobacterium）蛋白质序列。 本数据库专为优化结核分枝杆菌（Mycobacterium tuberculosis）及相关物种的测序读段的分类学鉴定而构建，相较于完整的Kaiju NR数据库（约100GB），可显著降低计算资源需求。与标准Kaiju NR数据库或原始基于FASTA格式的子集不同，本次发布已预先构建好最终的Kaiju索引文件，可直接投入分析流程，无需额外进行数据库构建操作。 该子集包含结核分枝杆菌、牛分枝杆菌（M. bovis）、非洲分枝杆菌（M. africanum）、耻垢分枝杆菌（M. smegmatis）以及该属内其他临床或环境相关物种的代表性基因组。 文件清单： kaiju_db_mycobacterium_2024.fmi —— Kaiju格式数据库索引文件 nodes.dmp、names.dmp —— NCBI分类学映射文件 总大小：约1GB Kaiju版本兼容性：支持≥1.9.0版本 参考数据源：NCBI NR/RefSeq（2024年8月获取） 应用场景： 专为分枝杆菌属测序数据的分类学鉴定与污染筛查流程设计，可在维持物种级分类分辨率的同时提升运行速度。 推荐引用格式： Kaiju数据库——分枝杆菌属子集（2024发布版）. Zenodo. https://10.5281/zenodo.17554952 Menzel, P., Ng, K. L., & Krogh, A. (2016). 基于Kaiju的宏基因组快速灵敏分类学鉴定. Nature Communications, 7, 11257. https://doi.org/10.1038/ncomms11257
