ReviewTrends in genetics : TIG2009
Characterizing natural variation using next-generation sequencing technologies.
Review in Trends in genetics : TIG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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
48 citing papers in PubMed.
- Human reference microbiome profiles of different body habitats in healthy individuals.Frontiers in cellular and infection microbiology · 2025Article
- Screening and Validation of Leaf Width-Related Genes in Inbred Maize Lines.Life (Basel, Switzerland) · 2024Article
- Article
- Fast neutron mutagenesis in soybean enriches for small indels and creates frameshift mutations.G3 (Bethesda, Md.) · 2022Article
- Protein Complexes Form a Basis for Complex Hybrid Incompatibility.Frontiers in genetics · 2021Review
- Plant Genome Editing and the Relevance of Off-Target Changes.Plant physiology · 2020Article
- Contribution of unfixed transposable element insertions to human regulatory variation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- A How-To Guide for Mode of Action Analysis of Antimicrobial Peptides.Frontiers in cellular and infection microbiology · 2020Review
- Investing in Food Safety for Developing Countries: Opportunities and Challenges in Applying Whole-Genome Sequencing for Food Safety Management.Foodborne pathogens and disease · 2019Review
- Screening and verification of genes associated with leaf angle and leaf orientation value in inbred maize lines.PloS one · 2018Article
- Exome and genome sequencing for inborn errors of immunity.The Journal of allergy and clinical immunology · 2016Review
- Phylogeny and historical demography of endemic fishes in Lake Biwa: the ancient lake as a promoter of evolution and diversification of freshwater fishes in western Japan.Ecology and evolution · 2016Article
- Defining the biological bases of individual differences in musicality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
- T-lex2: genotyping, frequency estimation and re-annotation of transposable elements using single or pooled next-generation sequencing data.Nucleic acids research · 2015Article
- De novo transcriptome characterization of Lilium 'Sorbonne' and key enzymes related to the flavonoid biosynthesis.Molecular genetics and genomics : MGG · 2015Article
- Underlying Data for Sequencing the Mitochondrial Genome with the Massively Parallel Sequencing Platform Ion Torrent™ PGM™.BMC genomics · 2015Article
- Alternative splicing regulation of telomerase: a new paradigm?Trends in genetics : TIG · 2014Article
- FANSe2: a robust and cost-efficient alignment tool for quantitative next-generation sequencing applications.PloS one · 2014Article
- Transcriptome analysis of a petal anthocyanin polymorphism in the arctic mustard, Parrya nudicaulis.PloS one · 2014Article
- Mining transcriptomic data to study the origins and evolution of a plant allopolyploid complex.PeerJ · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Progress in evolutionary genomics is tightly coupled with the development of new technologies to collect high-throughput data. The availability of next-generation sequencing technologies has the potential to revolutionize genomic research and enable us to focus on a large number of outstanding questions that previously could not be addressed effectively. Indeed, we are now able to study genetic variation on a genome-wide scale, characterize gene regulatory processes at unprecedented resolution, and soon, we expect that individual laboratories might be able to rapidly sequence new genomes. However, at present, the analysis of next-generation sequencing data is challenging, in particular because most sequencing platforms provide short reads, which are difficult to align and assemble. In addition, only little is known about sources of variation that are associated with next-generation sequencing study designs. A better understanding of the sources of error and bias in sequencing data is essential, especially in the context of studies of variation at dynamic quantitative traits.
Indexed as
Identifiers
What OpenQuestion holds
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.