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Published on: May 15, 2019
IMG/M: integrated genome and metagenome comparative data analysis system.
I-Min A Chen1, Victor M Markowitz2, Ken Chu2
1Biosciences Computing Group, Computational Science Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA IMAChen@lbl.gov.
The Integrated Microbial Genomes with Microbiome Samples (IMG/M) database has tripled its data and expanded analysis tools. This resource supports comprehensive microbiome research with diverse genomic and metagenomic datasets.
Area of Science:
- Microbiology
- Genomics
- Bioinformatics
Background:
- The Integrated Microbial Genomes with Microbiome Samples (IMG/M) system is a crucial resource for microbial genomics and microbiome research.
- It houses diverse sequence data from cultured and uncultured organisms, as well as environmental samples.
Purpose of the Study:
- To update on the growth and enhancements of the IMG/M system since its last report.
- To highlight the expanded capabilities for analyzing microbial and microbiome datasets.
Main Methods:
- Data integration from JGI, public archives, and scientist submissions.
- Utilizing JGI's genome and metagenome annotation pipelines for structural and functional analysis.
- Providing analytical and visualization tools for data exploration.
Main Results:
- IMG/M dataset content has tripled, including an increase in protein coding genes.
- Analysis tools have been enhanced to manage the growing volume and size of datasets.
- Open access for public datasets and a companion expert review system for private data are available.
Conclusions:
- IMG/M has significantly expanded its data holdings and analytical functionalities.
- The system continues to be a vital, growing resource for the microbial and microbiome research community.
- Enhanced tools support the examination of increasingly large and complex biological datasets.
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