Title |
DISCRIMINATION OF CODING FROM NON-CODING REGIONS IN CATTLE BASED ON METHYLATION AND DEAMINATION PATTERNS |
| Genetics Vol:9 Iss:8 (2017-08-28) : 291-295 |
Authors |
NITIN VARSHNEY, A.K. PAUL, S.D. WAHI |
Published on |
28 Aug 2017 Pages : 291-295 Article Id : BIA0003721 Views : 974 Downloads : 636 |
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Abstract |
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Coding regions (CDS) are the part of DNA that helps in protein synthesis and non-coding region (Introns) do not code for proteins. So, discrimination of coding region from the non-coding region is of prime importance for genome annotation. In this study discrimination of Coding and Non-coding regions of cattle genome has been done based on epigenetic mechanism. The features of DNA methylation and spontaneous deamination were used in this approach. Five different indices namely Deviation of nucleotide (NUF), Deviation of dinucleotide (DNF), Intensity of methylation (IME), Triplet avoidance index (TAI), and Tendency of Poly-purine and Poly-pyrimidine (PPI) have been used in this study. These indices were used to encode exon and intron sequences. The proposed method has been compared with the methods based on LDA (Linear Discriminant Analysis) and QDA (Quadratic Discriminant Analysis) based on the area under the ROC (Receiver Operating Characteristic) and the PR (Precision Recall) curves, whereby the proposed method proved to be better as compared to LDA and QDA based methods
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Title |
GENETIC DIVERGENCE STUDIES IN VEGETABLE COWPEA [Vigna unguiculata ssp. sesquipedalis L. Verdc.] |
| Genetics Vol:9 Iss:8 (2017-08-28) : 296-297 |
Authors |
B. LOVELY, D.S. RADHADEVI, VIJAYA RAGHAVA KUMAR |
Published on |
28 Aug 2017 Pages : 296-297 Article Id : BIA0003722 Views : 978 Downloads : 752 |
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Abstract |
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The investigation was conducted to study the nature and magnitude of genetic divergence among fifty genotypes of vegetable cowpea collected from different agro climatic regions of South India. The data were recorded on nine important traits among all the genotypes. All the genotypes were grouped into four clusters with genotypes from different geographic locations being grouped in the same clusters. The cluster I had the highest number of genotypes. The genotype VS41 remained in a solitary cluster as a divergent genotype that cannot be accommodated in any of the clusters. Pod yield per plant contributed the maximum towards divergence.
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