ArticleScientific reports2015
An alignment-free method to find and visualise rearrangements between pairs of DNA sequences.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Genomic signatures of high-altitude adaptation and chromosomal polymorphism in geladas.Nature ecology & evolution · 2022Article
- The domestication of Cucurbita argyrosperma as revealed by the genome of its wild relative.Horticulture research · 2021Article
- Efficient DNA sequence compression with neural networks.GigaScience · 2020Article
- Smash++: an alignment-free and memory-efficient tool to find genomic rearrangements.GigaScience · 2020Article
- New insights into mammalian sex chromosome structure and evolution using high-quality sequences from bovine X and Y chromosomes.BMC genomics · 2019Article
- Combining Strengths for Multi-genome Visual Analytics Comparison.Bioinformatics and biology insights · 2019Article
- Comparison of Compression-Based Measures with Application to the Evolution of Primate Genomes.Entropy (Basel, Switzerland) · 2018Article
- SSAW: A new sequence similarity analysis method based on the stationary discrete wavelet transform.BMC bioinformatics · 2018Article
- Functionality of Two Origins of Replication inFrontiers in microbiology · 2018Article
- Alignment-free sequence comparison: benefits, applications, and tools.Genome biology · 2017Review
- Article
- DNA word analysis based on the distribution of the distances between symmetric words.Scientific reports · 2017Article
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Authors and funding
4 authors.
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Abstract
Species evolution is indirectly registered in their genomic structure. The emergence and advances in sequencing technology provided a way to access genome information, namely to identify and study evolutionary macro-events, as well as chromosome alterations for clinical purposes. This paper describes a completely alignment-free computational method, based on a blind unsupervised approach, to detect large-scale and small-scale genomic rearrangements between pairs of DNA sequences. To illustrate the power and usefulness of the method we give complete chromosomal information maps for the pairs human-chimpanzee and human-orangutan. The tool by means of which these results were obtained has been made publicly available and is described in detail.
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