SEEK ID: https://workflowhub.eu/people/27
Location: United Kingdom
ORCID: https://orcid.org/0000-0003-3472-3736
Joined: 8th Jun 2020
Expertise: Not specified
Tools: Not specified
Related items
HoloFood is a 'hologenomic' approach that will improve the efficiency of food production systems by understanding the biomolecular and physiological processes affected by incorporating feed additives and novel sustainable feeds in farmed animals.
The HoloFood consortium will showcase the potential of an innovative solution that holds enormous potential for optimising modern food production. Specifically, HoloFood is a framework that integrates a suite of recent analytical and technological ...
Teams: HoloFood at MGnify
Web page: https://www.holofood.eu
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
MGnify is EMBL-EBI's metagenomics resource. EMBL-EBI are one of the 11 HoloFood partners, and are responsible for the analysis of metagenomic and microbial datasets from the project.
Space: HoloFood
Public web page: https://www.ebi.ac.uk/metagenomics
Start date: 1st Jan 2020
End date: 30th Apr 2023
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
Abstract (Expand)
Authors: 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
Date Published: 7th Nov 2019
Publication Type: Journal
DOI: 10.1093/nar/gkz1035
Citation: Nucleic Acids Research,gkz1035
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
metaGOflow: A workflow for marine Genomic Observatories' data analysis
An EOSC-Life project
The workflows developed in the framework of this project are based on pipeline-v5
of the MGnify resource.
This branch is a child of the
pipeline_5.1
branch that contains all CWL descriptions of the MGnify ...
Type: Common Workflow Language
Creators: Haris Zafeiropoulos, Martin Beracochea
Submitter: Haris Zafeiropoulos
MoMofy
Module for integrative Mobilome prediction
Bacteria can acquire genetic material through horizontal gene transfer, allowing them to rapidly adapt to changing environmental conditions. These mobile genetic elements can be classified into three main categories: plasmids, phages, and integrons. Autonomous elements are those capable of excising themselves from the chromosome, reintegrating elsewhere, and potentially modifying the host's physiology. Small integrative elements like insertion ...
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
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
Creator: 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
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
Creator: 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
VIRify
VIRify is a recently developed pipeline for the detection, annotation, and taxonomic classification of viral contigs in metagenomic and metatranscriptomic assemblies. The pipeline is part of the repertoire of analysis services offered by MGnify. VIRify’s taxonomic classification relies on the detection of taxon-specific profile hidden Markov models (HMMs), built upon a set of 22,014 orthologous protein domains and referred to as ViPhOGs. VIRify was implemented in CWL. What do I need? The ...
Type: Nextflow
Creators: Martin Beracochea, Martin Hölzer, Alexandre Almeida, Guillermo Rangel-Pineros and Ekaterina Sakharova
Submitter: Laura Rodriguez-Navas
VIRify
VIRify is a recently developed pipeline for the detection, annotation, and taxonomic classification of viral contigs in metagenomic and metatranscriptomic assemblies. The pipeline is part of the repertoire of analysis services offered by MGnify. VIRify’s taxonomic classification relies on the detection of taxon-specific profile hidden Markov models (HMMs), built upon a set of 22,014 orthologous protein domains and referred to as ViPhOGs. VIRify was implemented in CWL. What do I need? The ...
Type: Common Workflow Language
Creators: Martin Beracochea, Martin Hölzer, Alexandre Almeida, Guillermo Rangel-Pineros and Ekaterina Sakharova
Submitter: Laura Rodriguez-Navas