ArticleCurrent genomics2014
A Brief Review: The Z-curve Theory and its Application in Genome Analysis.
Article in Current genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Streptomyces produce a diphtheria toxin-like exotoxin that targets insects.Nature microbiology · 2026Article
- From nucleotides to numbers: a comprehensive review of RNA feature extraction methods for computational modelling.Briefings in bioinformatics · 2025Review
- Noncoding RNA family classification based on multifeature fusion and convolutional block attention residual network.Briefings in bioinformatics · 2025Article
- DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features.Briefings in functional genomics · 2025Article
- Human essential gene identification based on feature fusion and feature screening.IET systems biology · 2024Article
- Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.Briefings in bioinformatics · 2024Article
- Inference of gene regulatory networks based on directed graph convolutional networks.Briefings in bioinformatics · 2024Article
- Mitochondrial genome plasticity of mammalian species.BMC genomics · 2024Article
- Unified mRNA Subcellular Localization Predictor based on machine learning techniques.BMC genomics · 2024Article
- Unveiling human origins of replication using deep learning: accurate prediction and comprehensive analysis.Briefings in bioinformatics · 2023Article
- A Historic Retrospective on the Early Bioinformatics Research in China.Genomics, proteomics & bioinformatics · 2023Article
- MSLP: mRNA subcellular localization predictor based on machine learning techniques.BMC bioinformatics · 2023Article
- Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework.PLoS computational biology · 2022Article
- SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids.Scientific data · 2022Article
- [Identification of nucleosome positioning using support vector machine method based on comprehensive DNA sequence feature].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
- Article
- Comprehensive Analysis of Replication Origins inFrontiers in microbiology · 2019Article
- RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation.BMC bioinformatics · 2017Article
- Quantitative analysis of correlation between AT and GC biases among bacterial genomes.PloS one · 2017Article
- A complete annotation of the chromosomes of the cellulase producer Trichoderma reesei provides insights in gene clusters, their expression and reveals genes required for fitness.Biotechnology for biofuels · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In theoretical physics, there exist two basic mathematical approaches, algebraic and geometrical methods, which, in most cases, are complementary. In the area of genome sequence analysis, however, algebraic approaches have been widely used, while geometrical approaches have been less explored for a long time. The Z-curve theory is a geometrical approach to genome analysis. The Z-curve is a three-dimensional curve that represents a given DNA sequence in the sense that each can be uniquely reconstructed given the other. The Z-curve, therefore, contains all the information that the corresponding DNA sequence carries. The analysis of a DNA sequence can then be performed through studying the corresponding Z-curve. The Z-curve method has found applications in a wide range of areas in the past two decades, including the identifications of protein-coding genes, replication origins, horizontally-transferred genomic islands, promoters, translational start sides and isochores, as well as studies on phylogenetics, genome visualization and comparative genomics. Here, we review the progress of Z-curve studies from aspects of both theory and applications in genome analysis.
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.