Luis Pedro Coelho

Principal investigator

Luis Pedro Coelho is the principal investigator (PI) of the Big Data Biology Lab at the Centre for Microbiome Research at the Queensland University of Technology (Brisbane, Australia). Previously, the lab was hosted at Fudan University (Shanghai) and, prior to that, he worked as a postdoctoral researcher in Peer Bork's group at the European Molecular Biology Laboratory (EMBL). He has a PhD from Carnegie Mellon University an MSc from Instituto Superior Técnico in Lisbon.

Personal website: https://luispedro.org

BDB-Lab Publications

  1. Persistence of High-Risk Antimicrobial Resistance Genes in Extracellular DNA Along an Urban Wastewater-River Continuum
  2. A census of hidden and discoverable microbial diversity beyond genome-centric approaches
  3. AI-Driven Antimicrobial Peptide Discovery: Mining and Generation
  4. argNorm: Normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO)
  5. Quest for Orthologs in the Era of Biodiversity Genomics
  6. A catalog of small proteins from the global microbiome
  7. Discovery of antimicrobial peptides in the global microbiome with machine learning
  8. For long-term sustainable software in bioinformatics
  9. Challenges in computational discovery of bioactive peptides in ’omics data
  10. A global survey of prokaryotic genomes reveals the eco-evolutionary pressures driving horizontal gene transfer
  11. Ubiquity of inverted ’gelatinous’ ecosystem pyramids in the global ocean
  12. Functional and evolutionary significance of unknown genes from uncultivated taxa
  13. SPIRE: a Searchable, Planetary-scale mIcrobiome REsource
  14. Towards Monitoring of Antimicrobial Resistance in the Environment: For what Reasons, How to Implement It, and What Are the Data Needs?
  15. SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing
  16. ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
  17. metaMIC: reference-free Misassembly Identification and Correction of de novo metagenomic assemblies
  18. EXPERT: Transfer Learning-enabled context-aware microbial source tracking
  19. Drivers and Determinants of Strain Dynamics Following Faecal Microbiota Transplantation
  20. A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments
  21. Software testing in microbial bioinformatics: a call to action
  22. Microbiome and metabolome features of the cardiometabolic disease spectrum
  23. Impairment of gut microbial biotin metabolism and host biotin status in severe obesity: effect of biotin and prebiotic supplementation on improved metabolism
  24. Towards the biogeography of prokaryotic genes
  25. Combinatorial, additive and dose-dependent drug–microbiome associations
  26. An open code pledge for the neuroscience community
  27. GUNC: detection of chimerism and contamination in prokaryotic genomes
  28. Metagenomic assessment of the global diversity and distribution of bacteria and fungi
  29. Macrel: antimicrobial peptide screening in genomes and metagenomes
  30. Disentangling the impact of environmental and phylogenetic constraints on prokaryotic within-species diversity
  31. NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language
  32. Microbial abundance, activity and population genomic profiling with mOTUs2
  33. Gene Expression Changes and Community Turnover Differentially Shape the Global Ocean Metatranscriptome
  34. Global Trends in Marine Plankton Diversity across Kingdoms of Life
  35. proGenomes2: an improved database for accurate and consistent habitat, taxonomic and functional annotations of prokaryotic genomes
  36. Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer
  37. Extensive transmission of microbes along the gastrointestinal tract
  38. Similarity of the dog and human gut microbiomes in gene content and response to diet
  39. Structure and function of the global topsoil microbiome

Full list of publications on Google Scholar...


Copyright (c) 2018–2025. Luis Pedro Coelho and other group members. All rights reserved.

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