ArticleScientific reports2012
Identification of hot and cold spots in genome of Mycobacterium tuberculosis using Shewhart Control Charts.
Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A New Nonparametric Multivariate Control Scheme for Simultaneous Monitoring Changes in Location and Scale.Computational and mathematical methods in medicine · 2022Article
- Pattern of genomic variation in SARS-CoV-2 (COVID-19) suggests restricted nonrandom changes: Analysis using Shewhart control charts.Journal of biosciences · 2021Article
- Prediction and Monitoring Method for Breast Cancer: A Case Study for Data from the University Hospital Centre of Coimbra.Cancer management and research · 2020Article
- Multivariate nonparametric chart for influenza epidemic monitoring.Scientific reports · 2019Article
- Extended insight into the Mycobacterium chelonae-abscessus complex through whole genome sequencing of Mycobacterium salmoniphilum outbreak and Mycobacterium salmoniphilum-like strains.Scientific reports · 2019Article
- Extensive genomic diversity among Mycobacterium marinum strains revealed by whole genome sequencing.Scientific reports · 2018Article
- Complex multifractal nature in Mycobacterium tuberculosis genome.Scientific reports · 2017Article
- Genetic heterogeneity revealed by sequence analysis of Mycobacterium tuberculosis isolates from extra-pulmonary tuberculosis patients.BMC genomics · 2013Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The organization of genomic sequences is dynamic and undergoes change during the process of evolution. Many of the variations arise spontaneously and the observed genomic changes can either be distributed uniformly throughout the genome or be preferentially localized to some regions (hot spots) compared to others. Conversely cold spots may tend to accumulate very few variations or none at all. In order to identify such regions statistically, we have developed a method based on Shewhart Control Chart. The method was used for identification of hot and cold spots of single-nucleotide variations (SNVs) in Mycobacterium tuberculosis genomes. The predictions have been validated by sequencing some of these regions derived from clinical isolates. This method can be used for analysis of other genome sequences particularly infectious microbes.
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