Most recent paper
SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing by Shaojun Pan et al. at BioRxiv (PREPRINT)
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BDB-Lab Publications
- SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing
- metaMIC: reference-free Misassembly Identification and Correction of de novo metagenomic assemblies
- A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments
- Towards the biogeography of prokaryotic genes
- Macrel: antimicrobial peptide screening in genomes and metagenomes
Copyright (c) 2018–2023. Luis Pedro Coelho and other group members. All rights reserved.