ReviewFrontiers in genetics2015
Whole-genome CNV analysis: advances in computational approaches.
Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 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
93 citing papers in PubMed.
- The genetics of situs inversus without primary ciliary dyskinesia.Scientific reports · 2020Trial
- Computational strategies for copy number variation detection, disease association, and beyond.Genome biology · 2026Review
- Novel biallelic multi-exon duplication in the PIGN gene associated with multiple congenital anomalies-hypotonia-seizures syndrome 1.BMC pediatrics · 2026Article
- CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data.bioRxiv : the preprint server for biology · 2026Article
- Crucial parameters for precise copy number variation detection in formalin-fixed paraffin-embedded solid cancer samples.Molecular oncology · 2026Article
- Insights into Copy Number Variation Architecture in Black Bengal Goat Genome.International journal of molecular sciences · 2026Article
- Prenatal Whole-Genome Sequencing for Fetal Anomalies: Diagnostic Performance, Challenges, and Clinical Implications.International journal of molecular sciences · 2026Review
- Association of Y-chromosomal gr/gr deletions with testicular germ cell tumor: whole-genome analysis of 198,306 individuals.medRxiv : the preprint server for health sciences · 2026Article
- CCDC137: A key hub for RNA and epigenetic regulation in cancer research (Review).International journal of oncology · 2026Review
- Genome-wide characterization of copy number variants and their functional relevance in indigenous draught cattle of South Asia.PloS one · 2026Article
- CNV-Finder: streamlining copy number variation discovery.Bioinformatics advances · 2026Article
- Article
- CNV-Finder: Streamlining Copy Number Variation Discovery.bioRxiv : the preprint server for biology · 2025Article
- hDNApipe: streamlining human genome analysis and interpretation with an intuitive and user-friendly interface.NAR genomics and bioinformatics · 2025Article
- A comprehensive map of DNA-segment copy number variation in 491 genomes of common wheat uncovers genes associated with multiple agronomic traits.Plant communications · 2025Article
- Benchmarking strategies for CNV calling from whole genome bisulfite data in humans.Computational and structural biotechnology journal · 2025Article
- Review
- A comprehensive map of copy number variations in dromedary camels based on whole genome sequence data.Scientific reports · 2024Article
- Whole genome sequencing increases the diagnostic rate in Charcot-Marie-Tooth disease.Brain : a journal of neurology · 2024Article
- Investigating copy number variants in schizophrenia pedigrees using a new consensus pipeline called PECAN.Scientific reports · 2024Article
33 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accumulating evidence indicates that DNA copy number variation (CNV) is likely to make a significant contribution to human diversity and also play an important role in disease susceptibility. Recent advances in genome sequencing technologies have enabled the characterization of a variety of genomic features, including CNVs. This has led to the development of several bioinformatics approaches to detect CNVs from next-generation sequencing data. Here, we review recent advances in CNV detection from whole genome sequencing. We discuss the informatics approaches and current computational tools that have been developed as well as their strengths and limitations. This review will assist researchers and analysts in choosing the most suitable tools for CNV analysis as well as provide suggestions for new directions in future development.
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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.