ArticleBriefings in bioinformatics2012
Ultrafast clustering algorithms for metagenomic sequence analysis.
Article in Briefings in bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 215 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
215 citing papers in PubMed.
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- Wild Yeasts as Reservoirs of Bacterial Diversity: Biotechnological Insights from 16S rRNA Metabarcoding.Foods (Basel, Switzerland) · 2026Article
- Exploring the protein universe with distant similarity detection methods.Protein science : a publication of the Protein Society · 2026Review
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- Fastq-dupaway: a fast and memory-efficient tool for deduplication of single- and paired-end NGS data.Scientific reports · 2025Article
- A Duplex qPCR Assay Targeting theInternational journal of molecular sciences · 2025Article
- Symbionts with eroded genomes adjust gene expression according to host life-stage and environment.EMBO reports · 2025Article
- Metabarcoding Unveils Seasonal Soil Microbiota Shifts and Their Influence onMicroorganisms · 2025Article
- Genomic profiling and experimental validation of type VI secretion system-associated proteins in Klebsiella.PLoS genetics · 2025Article
- Dietary coated copper and zinc improved growth performance by modulating immune responses and fecal microbiota of weaned pigs.Journal of animal science and technology · 2025Article
- Arctic Ocean virus communities and their seasonality, bipolarity, and prokaryotic associations.Nature communications · 2025Article
- Charting γ-secretase substrates by explainable AI.Nature communications · 2025Article
- Pike: OTU-Level Analysis for Oxford Nanopore Amplicon Metagenomics.International journal of molecular sciences · 2025Article
- Article
- Alleviation of Acute Heat Stress in Broiler Chickens by Dietary Supplementation of Polyphenols from Shredded, Steam-Exploded Pine Particles.Microorganisms · 2025Article
155 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
5 authors.
Funding
Abstract
The rapid advances of high-throughput sequencing technologies dramatically prompted metagenomic studies of microbial communities that exist at various environments. Fundamental questions in metagenomics include the identities, composition and dynamics of microbial populations and their functions and interactions. However, the massive quantity and the comprehensive complexity of these sequence data pose tremendous challenges in data analysis. These challenges include but are not limited to ever-increasing computational demand, biased sequence sampling, sequence errors, sequence artifacts and novel sequences. Sequence clustering methods can directly answer many of the fundamental questions by grouping similar sequences into families. In addition, clustering analysis also addresses the challenges in metagenomics. Thus, a large redundant data set can be represented with a small non-redundant set, where each cluster can be represented by a single entry or a consensus. Artifacts can be rapidly detected through clustering. Errors can be identified, filtered or corrected by using consensus from sequences within clusters.
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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.