ReviewMethods in molecular biology (Clifton, N.J.)2012
Massively parallel sequencing approaches for characterization of structural variation.
Review in Methods in molecular biology (Clifton, N.J.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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
17 citing papers in PubMed.
- Detection of Structural Variants by NGS: Revealing Missing Alleles in Lysosomal Storage Diseases.Biomedicines · 2022Review
- Oral prodrug of remdesivir parent GS-441524 is efficacious against SARS-CoV-2 in ferrets.Nature communications · 2021Article
- Constitutive Activation of RAS/MAPK Pathway Cooperates with Trisomy 21 and Is Therapeutically Exploitable in Down Syndrome B-cell Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020Article
- Natural Hosts and Genetic Diversity of the Emerging Tomato Leaf Curl New Delhi Virus in Spain.Frontiers in microbiology · 2019Article
- TIA: algorithms for development of identity-linked SNP islands for analysis by massively parallel DNA sequencing.BMC bioinformatics · 2018Article
- A systematic review on the genetics of male infertility in the era of next-generation sequencing.Arab journal of urology · 2018Article
- Error baseline rates of five sample preparation methods used to characterize RNA virus populations.PloS one · 2017Article
- Article
- Genome-Wide Detection of CNVs and Their Association with Meat Tenderness in Nelore Cattle.PloS one · 2016Article
- Visualization and probability-based scoring of structural variants within repetitive sequences.Bioinformatics (Oxford, England) · 2014Article
- LipidSeq: a next-generation clinical resequencing panel for monogenic dyslipidemias.Journal of lipid research · 2014Article
- A survey of tools for variant analysis of next-generation genome sequencing data.Briefings in bioinformatics · 2014Article
- Using VarScan 2 for Germline Variant Calling and Somatic Mutation Detection.Current protocols in bioinformatics · 2013Article
- The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation.Frontiers in genetics · 2013Article
- A forward genetic screen identifies eukaryotic translation initiation factor 3, subunit H (eIF3h), as an enhancer of variegation in the mouse.G3 (Bethesda, Md.) · 2012Article
- The Caulobacter crescentus phage phiCbK: genomics of a canonical phage.BMC genomics · 2012Article
- A model-based clustering method for genomic structural variant prediction and genotyping using paired-end sequencing data.PloS one · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The emergence of next-generation sequencing (NGS) technologies offers an incredible opportunity to comprehensively study DNA sequence variation in human genomes. Commercially available platforms from Roche (454), Illumina (Genome Analyzer and Hiseq 2000), and Applied Biosystems (SOLiD) have the capability to completely sequence individual genomes to high levels of coverage. NGS data is particularly advantageous for the study of structural variation (SV) because it offers the sensitivity to detect variants of various sizes and types, as well as the precision to characterize their breakpoints at base pair resolution. In this chapter, we present methods and software algorithms that have been developed to detect SVs and copy number changes using massively parallel sequencing data. We describe visualization and de novo assembly strategies for characterizing SV breakpoints and removing false positives.
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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.