Luis Pedro Coelho

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 Projects

1. GMGC: Global Microbial Gene Catalog
2. SEARCHER

BDB-Lab Publications

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