ArticleNucleic acids research2020
MGnify: the microbiome analysis resource in 2020.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 350 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
350 citing papers in PubMed.
- Article
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- Computational Characterization of Ligand Recognition and Inhibition in a 1,4-Dioxane-Degrading Propane Monooxygenase.Journal of chemical information and modeling · 2026Article
- Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects.iMeta · 2026Review
- Asthma Dysbiosis Index: A Universal Airway Microbiome Signature From Multi-Cohort Analysis.Pediatric pulmonology · 2026Article
- SEVA: structural and evolutionary feature integration for predicting virulence factors and antibiotic resistance genes.Microbiome · 2026Article
- Optimizing protein tokenization: reduced amino acid alphabets for efficient and accurate protein language models.Bioinformatics (Oxford, England) · 2026Article
- Whole metagenome sequencing: not deep enough for complete microbial function recovery.Microbiome · 2026Article
- Development of LRRC15-binding disulfide-constrained peptides for PET imaging of cancer-associated fibroblasts.Nature communications · 2026Article
- Improving protein and protein interactions using pseudo-dimers derived from monomeric proteins.Nature communications · 2026Article
- Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes.bioRxiv : the preprint server for biology · 2026Article
- Inhibiting NHEJ: In-Silico Approach to Stratifying DNA-PK Inhibitors, Predicting Radio-Halogenation Potential of DNA-PK Inhibitors, and Assessing AlphaFold2 Prediction Accuracy.Bioengineering (Basel, Switzerland) · 2026Article
- In silico typing maps the natural diversity of Escherichia coli transporter-dependent capsules.Nature microbiology · 2026Article
- Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach.Scientific reports · 2026Article
- Investigating the distribution of antibiotic resistance genes in relation to bacterial, fungal, and functional diversity in a hay field.Microbiology spectrum · 2026Article
- Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER.Nature biotechnology · 2026Article
- Clustering the protein universe of life using DIAMOND DeepClust.Nature methods · 2026Article
- Quantifying uncertainty in protein representations across models and tasks.Nature methods · 2026Article
290 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
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 with multiple analysis pipelines that are tailored according to the input data, and that are formally described using the Common Workflow Language, enabling greater provenance, reusability, and reproducibility. MGnify's new analysis pipelines offer additional approaches for taxonomic assertions based on ribosomal internal transcribed spacer regions (ITS1/2) and expanded protein functional annotations. Biochemical pathways and systems predictions have also been added for assembled contigs. MGnify's growing focus on the assembly of metagenomic data has also seen the number of datasets it has assembled and analysed increase six-fold. The non-redundant protein database constructed from the proteins encoded by these assemblies now exceeds 1 billion sequences. Meanwhile, a newly developed contig viewer provides fine-grained visualisation of the assembled contigs and their enriched annotations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.