ArticleBriefings in bioinformatics2015
Environmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses.
Article in Briefings in bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
29 citing papers in PubMed.
- Metagenomic biodiversity assessment within an offshore wind farm.Scientific reports · 2025Article
- Insights from draft genomes of Heterodera species isolated from field soil samples.BMC genomics · 2025Article
- Development and validation of a long-read metabarcoding platform for the detection of filarial worm pathogens of animals and humans.BMC microbiology · 2024Article
- Diverse patterns of correspondence between protist metabarcodes and protist metagenome-assembled genomes.PloS one · 2024Article
- The Oxford Nanopore MinION as a Versatile Technology for the Diagnosis and Characterization of Emerging Plant Viruses.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Phylogenetic diversity of functional genes in deep-sea cold seeps: a novel perspective on metagenomics.Microbiome · 2023Article
- Diversity, Taxonomic Novelty, and Encoded Functions of Salar de Ascotán Microbiota, as Revealed by Metagenome-Assembled Genomes.Microorganisms · 2023Article
- Metabarcoding of fecal pellets in wild muskox populations reveals negative relationships between microbiome and diet alpha diversity.Ecology and evolution · 2023Article
- 18S-NemaBase: Curated 18S rRNA Database of Nematode Sequences.Journal of nematology · 2023Article
- Ecological and Oceanographic Perspectives in Future Marine Fungal Taxonomy.Journal of fungi (Basel, Switzerland) · 2022Review
- Moving towards improved surveillance and earlier diagnosis of aquatic pathogens: From traditional methods to emerging technologies.Reviews in aquaculture · 2022Review
- DNA Metabarcoding and Isolation by Baiting Complement Each Other in RevealingJournal of fungi (Basel, Switzerland) · 2022Article
- Abiotic Stress and Belowground Microbiome: The Potential of Omics Approaches.International journal of molecular sciences · 2022Review
- Trypanosomatid Richness Among Rats, Opossums, and Dogs in the Caatinga Biome, Northeast Brazil, a Former Endemic Area of Chagas Disease.Frontiers in cellular and infection microbiology · 2022Article
- A new method of metabarcoding Microsporidia and their hosts reveals high levels of microsporidian infections in mosquitoes (Culicidae).Molecular ecology resources · 2020Article
- Daring to be differential: metabarcoding analysis of soil and plant-related microbial communities using amplicon sequence variants and operational taxonomical units.BMC genomics · 2020Article
- A novel metabarcoding diagnostic tool to explore protozoan haemoparasite diversity in mammals: a proof-of-concept study using canines from the tropics.Scientific reports · 2019Article
- Assessment of a metabarcoding approach for the characterisation of vector-borne bacteria in canines from Bangkok, Thailand.Parasites & vectors · 2019Article
- Peat substrate amended with chitin modulates the N-cycle, siderophore and chitinase responses in the lettuce rhizobiome.Scientific reports · 2019Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA-based taxonomic and functional profiling is widely used for the characterization of organismal communities across a rapidly increasing array of research areas that include the role of microbiomes in health and disease, biomonitoring, and estimation of both microbial and metazoan species richness. Two principal approaches are currently used to assign taxonomy to DNA sequences: DNA metabarcoding and metagenomics. When initially developed, each of these approaches mandated their own particular methods for data analysis; however, with the development of high-throughput sequencing (HTS) techniques they have begun to share many aspects in data set generation and processing. In this review we aim to define the current characteristics, goals and boundaries of each field, and describe the different software used for their analysis. We argue that an appreciation of the potential and limitations of each method can help underscore the improvements required by each field so as to better exploit the richness of current HTS-based data sets.
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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.