MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database.
Kai ChengZhibin NingLeyuan LiXu ZhangJoeselle M SerranaJanice MayneDaniel FigeysPublished in: Journal of proteome research (2022)
The studies of microbial communities have drawn increased attention in various research fields such as agriculture, environment, and human health. Recently, metaproteomics has become a powerful tool to interpret the roles of the community members by investigating the expressed proteins of the microbes. However, analyzing the metaproteomic data sets at genome resolution is still challenging because of the lack of efficient bioinformatics tools. Here we develop MetaLab-MAG, a specially designed tool for the characterization of microbiomes from metagenome-assembled genomes databases. MetaLab-MAG was evaluated by analyzing various human gut microbiota data sets and performed comparably or better than searching the gene catalog protein database directly. MetaLab-MAG can quantify the genome-level microbiota compositions and supports both label-free and isobaric labeling-based quantification strategies. MetaLab-MAG removes the obstacles of metaproteomic data analysis and provides the researchers with in-depth and comprehensive information from the microbiomes.
Keyphrases
- data analysis
- human health
- label free
- genome wide
- risk assessment
- climate change
- endothelial cells
- big data
- high throughput
- mental health
- adverse drug
- machine learning
- amino acid
- emergency department
- optical coherence tomography
- single molecule
- protein protein
- social media
- pluripotent stem cells
- transcription factor
- case control