ArticleScientific data2016
Next generation sequencing data of a defined microbial mock community.
Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed.
- Meta-CD: a metagenomic sequencing coverage and depth calculator for target species.Microbiology resource announcements · 2026Article
- Beta-diversity of urban vegetation shapes microbial heterogeneity and maintains healthy environment.Nature communications · 2026Article
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- Benchmarking and optimizing qualitative and quantitative pipelines in environmental metatranscriptomics using mixture controlling experiments.ISME communications · 2025Article
- Flowtigs: Safety in flow decompositions for assembly graphs.iScience · 2024Article
- Deciphering and designing microbial communities by genome-scale metabolic modelling.Computational and structural biotechnology journal · 2024Review
- MIMt: a curated 16S rRNA reference database with less redundancy and higher accuracy at species-level identification.Environmental microbiome · 2024Article
- Metapresence: a tool for accurate species detection in metagenomics based on the genome-wide distribution of mapping reads.mSystems · 2024Article
- Unveiling errors in soil microbial community sequencing: a case for reference soils and improved diagnostics for nanopore sequencing.Communications biology · 2024Article
- Benchmarking short-, long- and hybrid-read assemblers for metagenome sequencing of complex microbial communities.Microbiology (Reading, England) · 2024Article
- Article
- Assessment of DNA extraction methods for human gut mycobiome analysis.Royal Society open science · 2024Article
- Bioindicator "fingerprints" of methane-emitting thermokarst features in Alaskan soils.Frontiers in microbiology · 2024Article
- Qmatey: an automated pipeline for fast exact matching-based alignment and strain-level taxonomic binning and profiling of metagenomes.Briefings in bioinformatics · 2023Article
- Assessment of metagenomic workflows using a newly constructed human gut microbiome mock community.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023Article
- ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning.PLoS computational biology · 2023Article
- Linking plant functional genes to rhizosphere microbes: a review.Plant biotechnology journal · 2023Review
- Capturing variation in metagenomic assembly graphs with MetaCortex.Bioinformatics (Oxford, England) · 2023Article
- Benchmarking second and third-generation sequencing platforms for microbial metagenomics.Scientific data · 2022Article
- Sketching and sampling approaches for fast and accurate long read classification.BMC bioinformatics · 2022Article
2 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
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generating sequence data of a defined community composed of organisms with complete reference genomes is indispensable for the benchmarking of new genome sequence analysis methods, including assembly and binning tools. Moreover the validation of new sequencing library protocols and platforms to assess critical components such as sequencing errors and biases relies on such datasets. We here report the next generation metagenomic sequence data of a defined mock community (Mock Bacteria ARchaea Community; MBARC-26), composed of 23 bacterial and 3 archaeal strains with finished genomes. These strains span 10 phyla and 14 classes, a range of GC contents, genome sizes, repeat content and encompass a diverse abundance profile. Short read Illumina and long-read PacBio SMRT sequences of this mock community are described. These data represent a valuable resource for the scientific community, enabling extensive benchmarking and comparative evaluation of bioinformatics tools without the need to simulate data. As such, these data can aid in improving our current sequence data analysis toolkit and spur interest in the development of new tools.
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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.