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Genomics and Bionanotechnology
Published in Anil Kumar Anal, Bionanotechnology, 2018
Genome mapping is the process of locating the order of gene and their relative distance on the genome. It provides guidelines for the reconstruction of genome sequence after sequencing. DNA sequencing is a complex process due to which the genome needs to be fragmented before sequencing. The fragmented genome sequences are rearranged in original order using recognizable features. As genome map carries information about genome organization in terms of genes, restriction enzyme sites, and others, genome map is utilized to reconstruct the original genome after sequencing. There are two types of genome mapping that includes genetic mapping and physical mapping. For genetic mapping, commonly used markers are genes with visible phenotype and molecular markers, which is DNA sequence that shows polymorphism. Physical mapping involves direct location of DNA sequence on the chromosome using genome-wide unique DNA sequences, sequence-tagged site (STS), and expressed sequence tag (EST) as markers. Different physical mapping techniques include cytogenetic mapping, fluorescent in situ hybridization (FISH), restriction mapping, STS content mapping, and radiation hybrid mapping (Saraswathy and Ramalingam 2011).
Discovery of genetic risk factors for disease
Published in Journal of the Royal Society of New Zealand, 2018
My research followed the progress in genetic mapping, developing and applying different methods to identify genetic risk factors, first to identify mutations responsible for variation in production traits in livestock and, more recently, to identify risk factors for human disease. This review article summarises developments in gene mapping and progress in identifying genetic risk factors for common complex diseases. The goal of these studies is to better understand disease biology and facilitate the search for better diagnosis and treatments for many diseases.
A survey on evolutionary machine learning
Published in Journal of the Royal Society of New Zealand, 2019
Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, Mengjie Zhang
In healthcare and biomedical applications, EML techniques are used for gene sequence analysis, gene mapping, structure prediction and analysis of DNA (Pal et al. 2006), and biomarker identification (Ahmed et al. 2014). Computation of 3D protein structure has been addressed by many EML methods (Correa et al. 2018). EML also shows promising results in important applications such as drug discovery (Le and Winkler 2015) and materials design (Le and Winkler 2016), where the search space is effectively infinite.