MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.

By Kevin P. Keegan, Elizabeth M. Glass, Folker Meyer. Methods in molecular biology, 2016

404 citations recorded by the source corpus.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/c6dd6c38a3c6ea54a7374dcad025e7d5a8080956

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. G. Uritskiy
2. James Taylor
3. J. DiRuggiero
4. Richa Bharti
5. Dominik G. Grimm

In Molecular Biology

1. G. Uritskiy
2. James Taylor
3. J. DiRuggiero
4. Richa Bharti
5. Dominik G. Grimm

Citations in the corpus

• Current challenges and best-practice protocols for microbiome analysis (2019, background): “Both IMG/M [126] and MG-RAST [127] servers allow query matching with other databases, including clusters of orthologous groups (COGs) [128], Pfam [129] and TIGRFAM [130].”
• MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis (2018, background): “Existing automated pipelines and cloud services lack modularity, do not give users control over the analysis, and often lack functions for genome-resolved metagenomics, the extraction of putative genomes (bins) through the binning of metagenomic assemblies [14, 16 – 19].”
• Majorbio Cloud: A one‐stop, comprehensive bioinformatic platform for multiomics analyses (2022, background): “Analytic platforms for high ‐ throughput omics data, such as MG ‐ RAST [1], IMG/M [2], Qiita [3], BIGSdb [4], TRAPR [5], imageGP [6], and MetOrigin [7], have also emerged.”