The impact of next-generation sequencing technology on genetics.
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Summary
Next-generation sequencing technologies are surveyed and it is considered how they can provide a more complete picture of how the genome shapes the organism.
- Type
- review
- Published
- 2008-03-01
- Cited by
- 2,232
- References
- 57
- Access
- Open access
- OpenAlex
- https://openalex.org/W2616754551
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18584672
Keywords
Biology, Genetics, DNA sequencing, Computational biology, Evolutionary biology
References
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Cited by
- A new algorithm for de novo genome assembly
- Variants of the Consecutive Ones Property: Algorithms, Computational Complexity and Applications to Genomics
- Predicting Variants of Alternative Splicing from NGS data without the Genome
- Next generation sequencing for clinical diagnostics-principles and application to targeted resequencing for hypertrophic cardiomyopathy: a paper from the 2009 William Beaumont Hospital Symposium on Molecular Pathology.
- The A's, G's, C's, and T's of health disparities
- Understanding cardiovascular disease through the lens of genome-wide association studies.
- An overview of recent developments in genomics and associated statistical methods
- Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD Tags
- Molecular technology vs clinical practice: a hypothesis in genetics
- Targeted Exon Sequencing by In‐Solution Hybrid Selection
- Adaptation genomics: the next generation.
- Benchmarking of gene prediction programs for metagenomic data
- 癌症相关遗传变异的新进展及其在诊断研发中的意义
- [Technological advances in single-cell genomic analyses].
- A normalization strategy for comparing tag count data
- The design and cross‐population application of a genome‐wide SNP chip for the great tit Parus major
- A Model-Based Clustering Method for Genomic Structural Variant Prediction and Genotyping Using Paired-End Sequencing Data
- Post-Embryonic Transcriptomes of the Prawn Macrobrachium rosenbergii: Multigenic Succession through Metamorphosis
- Revising a Personal Genome by Comparing and Combining Data from Two Different Sequencing Platforms
- A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions
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