Posted under microbiome

  1. Semisynthetic Simulation for Microbiome Data Analysis

    Dr Kris Sankaran (University of Wisconsin) was one of our Belz recipient from the School of Maths & Stats and came for 6-week visit to our …

    lecao-lab.science.unimelb.edu.au/2025/01/20/semisynthetic-simulation-microbiome

  2. Gene Content of Seawater Microbes is a Strong Predictor of Water Chemistry Across the Great Barrier Reef

    PhD candidate Marko Terzin from James Cook University and the Australian Institute of Marine Science (AIMS) has spent a few months in 2023 in our lab …

    lecao-lab.science.unimelb.edu.au/2025/01/03/gene-microbes-predictors-grf

  3. Global picoplankton biogeography revealed by metagenomic and climatic data integration

    Vini Salazar is reaching the end of his PhD candidature (and has already secured a continuing position at Melbourne Bioinformatics, UoM 🎉). His preprint is one …

    lecao-lab.science.unimelb.edu.au/2025/01/02/global-picoplankton-biogeography-revealed-by-metagenomic-and-climatic-data-integration

  4. Microbial network inference for longitudinal microbiome studies with LUPINE with video!

    Dr Saritha Kodikara has developed a PLS-based to infer microbial networks across time! LUPINE is a PLS-based method that combines dimension reduction, and partial correlations to …

    lecao-lab.science.unimelb.edu.au/2024/05/17/lupine

  5. Metaphor: A workflow for streamlined assembly and binning of metagenomes

    Genome-resolved metagenomics techniques aim to recover genomes from high-throughput sequencing data, and have led to unprecedented insight into microbial diversity, ecology, and evolution. However, data pipelines …

    lecao-lab.science.unimelb.edu.au/2023/08/02/metaphor

  6. Article: PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data

    It’s been a long journey! The method developed by my former PhD student Eva Yiwen Wang is out and ready to be used! Yiwen Wang, Kim-Anh …

    lecao-lab.science.unimelb.edu.au/2023/01/20/article-plsda-batch