SEEK ID: https://workflowhub.eu/people/355
Location: United Kingdom
ORCID: https://orcid.org/0000-0001-6867-2039
Joined: 19th Oct 2022
Expertise: Not specified
Tools: Not specified
Related items
MGnify (formerly known as EBI Metagenomics) is a free resource for the assembly, analysis, archiving and browsing all types of microbiome derived sequence data.
Space: This Team is not associated with a Space
Public web page: https://www.ebi.ac.uk/metagenomics/
Organisms: Not specified
Abstract
Authors: Tatiana A. Gurbich, Alexandre Almeida, Martin Beracochea, Tony Burdett, Josephine Burgin, Guy Cochrane, Shriya Raj, Lorna Richardson, Alexander B. Rogers, Ekaterina Sakharova, Gustavo A. Salazar, Robert D. Finn
Date Published: 1st Jul 2023
Publication Type: Journal
DOI: 10.1016/j.jmb.2023.168016
Citation: Journal of Molecular Biology 435(14):168016
MGnify genomes catalogue pipeline
MGnify A pipeline to perform taxonomic and functional annotation and to generate a catalogue from a set of isolate and/or metagenome-assembled genomes (MAGs) using the workflow described in the following publication:
Gurbich TA, Almeida A, Beracochea M, Burdett T, Burgin J, Cochrane G, Raj S, Richardson L, Rogers AB, Sakharova E, Salazar GA and Finn RD. (2023) [MGnify Genomes: A Resource for Biome-specific Microbial Genome ...
Type: Nextflow
Creators: Ekaterina Sakharova, Tatiana Gurbich, Martin Beracochea
Submitter: Martin Beracochea
The containerised pipeline for profiling shotgun metagenomic data is derived from the MGnify pipeline raw-reads analyses, a well-established resource used for analyzing microbiome data. Key components:
- Quality control and decontamination
- rRNA and ncRNA detection using Rfam database
- Taxonomic classification of SSU and LSU regions
- Abundance analysis with mOTUs
MGnify (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the assembly, analysis and archiving of microbiome data derived from sequencing microbial populations that are present in particular environments. Over the past 2 years, MGnify (formerly EBI Metagenomics) has more than doubled the number of publicly available analysed datasets held within the resource. Recently, an updated approach to data analysis has been unveiled (version 5.0), replacing the previous single pipeline ...
Type: Common Workflow Language
Creators: Ekaterina Sakharova, Varsha Kale, Martin Beracochea, Alex L Mitchell, Alexandre Almeida, Martin Beracochea, Miguel Boland, Josephine Burgin, Guy Cochrane, Michael R Crusoe, Varsha Kale, Simon C Potter, Lorna J Richardson, Ekaterina Sakharova, Maxim Scheremetjew, Anton Korobeynikov, Alex Shlemov, Olga Kunyavskaya, Alla Lapidus, Robert D Finn
Submitter: Martin Beracochea