PZLAST-MAG is an ultra-fast service for amino acid sequence similarity searches against large-scale metagenome-assembled genome (MAG) datasets [9].

With PZLAST-MAG, users can search protein sequences across proteomes derived from 218,653 MAG genomes in approximately 5 minutes, offering exceptional speed and scalability.

The system leverages the ZettaScaler-3.0 Server Unit [1][2], equipped with the advanced PEZY-SC3 Processor [3][4]. Its core algorithm is fundamentally based on CLAST [5] and PZLAST [6][7], ensuring robust and efficient performance.

Our previous PZLAST service [8] and the current PZLAST-MAG service primarily differ in their reference database design. While PZLAST was designed for sequence similarity searches targeting shotgun metagenomic short reads, PZLAST-MAG is specifically designed for searches against MAG (Metagenome-Assembled Genome) datasets.
The reference MAG dataset is derived from Microbiome Datahub Version 1 [10][11], providing a comprehensive and high-quality foundation for sequence searches.

References

ZettaScaler-3.0 and PEZY-SC3
[1] PZLAST Meta genome analysis system
[2] ZettaScaler-3.0
[3] PEZY-SC3
[4] Naoya Hatta, Shuntaro Tsunoda, Kouhei Uchida, Taichi Ishitani, Ryota Shioya, Kei Ishii. PEZY-SC3: A MIMD Many-core Processor for Energy-efficient Computing. https://doi.org/10.48550/arXiv.2301.07510

CLAST
[5] CLAST: CUDA implemented large-scale alignment search tool

PZLAST
[6] PZLAST: an ultra-fast amino acid sequence similarity search server against public metagenomes
[7] PZLAST: an ultra-fast sequence similarity search tool implemented on a MIMD processor
[8] Original PZLAST service (for shotgun metagenomics-derived short read sequences)

PZLAST-MAG
[9] PZLAST-MAG: full length protein sequence similarity search server of large-scale MAG proteins

Microbiome Datahub
[10] Microbiome Datahub: an open-access platform integrating environmental metadata, taxonomy, and functional annotation for comprehensive metagenome-assembled genome datasets
[11] Microbiome Datahub

Citation

If you find PZLAST-MAG useful in your research, please cite the following papers:

PZLAST-MAG
Koichi Higashi, Hitoshi Ishikawa, Ken Kurokawa, Hiroshi Mori. PZLAST-MAG: full length protein sequence similarity search server of large-scale MAG proteins. Bioinformatics Advances, 2026, Volume 6, Issue 1, vbag129. https://doi.org/10.1093/bioadv/vbag129

Reference MAG database: Microbiome Datahub
Hiroshi Mori, Takatomo Fujisawa, Koichi Higashi, Yasuhiro Tanizawa, Zenichi Nakagawa, Hiroyo Nishide, Masaki Fujiyoshi, Yasukazu Nakamura, Ikuo Uchiyama, Motomu Matsui, Takuji Yamada. Microbiome Datahub: an open-access platform integrating environmental metadata, taxonomy, and functional annotation for comprehensive metagenome-assembled genome datasets. Microbiome, 2026, Volume 14, Article 119. https://doi.org/10.1186/s40168-026-02385-x

Original PZLAST service and algorithm
Hiroshi Mori, Hitoshi Ishikawa, Koichi Higashi, Yoshiaki Kato, Toshikazu Ebisuzaki, Ken Kurokawa, PZLAST: an ultra-fast amino acid sequence similarity search server against public metagenomes, Bioinformatics, 2021;, btab492, https://doi.org/10.1093/bioinformatics/btab492

Hitoshi Ishikawa, Hiroshi Mori, Koichi Higashi, Yoshiaki Kato, Tomofumi Sakai, Toshikazu Ebisuzaki, Ken Kurokawa. PZLAST: an ultra-fast sequence similarity search tool implemented on a MIMD processor. Special Issue on the Ninth International Symposium on Networking and Computing, 2022 Volume 12 Issue 2 Pages 446-466. https://doi.org/10.15803/ijnc.12.2_446

Contact

This web site is operated by Genome Evolution Laboratory at the National Institute of Genetics.

If you have any question, request, or suggestion, please contact the E-mail address below.

khigashinig.ac.jp

v. 0.1.0 (2024-12-25)

PZLAST-MAG Web Service: First release.