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Updated: Jul 19, 2026

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples
Published on: December 22, 2014
Toward ordered -omics data science: Researchers on the magic of turning metagenomic chaos into image-like patterns
Wan Xiang Shen1,2, Yu Zong Chen1,3
1Bioinformatics and Drug Design (BIDD) Group and Center for Computational Science and Engineering, Department of Pharmacy, National University of Singapore, Singapore 117559, Singapore.
Abstract:
Wan Xiang Shen, a postdoctoral researcher at National University of Singapore, and Yu Zong Chen, the PI of the Bioinformatics and Drug Design (BIDD) group, have developed an AI pipeline for enhanced deep learning of metagenomic data. Their Patterns paper highlights the advantages of unsupervised data restructuring in microbiome-based disease prediction and biomarker discovery. They talk about their view of data science and the backstory of the article published in Patterns.
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