MGnify
MGnify provides analysis and archiving of metagenomic and metatranscriptomic shotgun sequencing datasets to enable annotation, identification, and functional profiling of microbial communities.
Key Features:
- Data analysis and archiving: Provides computational analysis and archival of complex metagenomic and metatranscriptomic datasets, including shotgun metagenomes.
- Extensive processed dataset repository: Hosts a large collection of analyzed shotgun metagenomes with a reported five-fold increase in processed samples over two years.
- Updated analysis pipeline: Maintains a revised analysis pipeline reported to improve the accuracy and efficiency of data processing for high-throughput sequencing data.
- Functional analysis comparison tool: Offers a tool to compare functional analyses of sequence runs within a study to support comparative functional investigations.
- Annotation and community profiling: Performs annotation of genetic material and identification of microbial communities alongside functional profiling of environmental samples.
- Quality control and reproducibility: Implements an analytical framework that ensures rigorous quality control and supports reproducibility in metagenomic research.
Scientific Applications:
- Environmental microbiology: Enables analysis of microbial ecology and environmental genomics through metagenomic and metatranscriptomic profiling of environmental samples.
- Oceanography and marine biodiversity studies: Has been applied in large-scale marine projects such as Ocean Sampling Day and Tara Oceans to explore marine biodiversity and ecosystem dynamics using metagenomics.
Methodology:
Advanced bioinformatics pipelines process raw sequencing data into annotated genetic material, identification of microbial communities, and functional profiles of environmental samples, with an analytical framework that ensures rigorous quality control and reproducibility.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 6/11/2015
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Query and retrieval
Publications
Mitchell A, Bucchini F, Cochrane G, Denise H, Hoopen Pt, Fraser M, Pesseat S, Potter S, Scheremetjew M, Sterk P, Finn RD. EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data. Nucleic Acids Research. 2015;44(D1):D595-D603. doi:10.1093/nar/gkv1195. PMID:26582919. PMCID:PMC4702853.