scholarly journals Evaluation of ten SNP Markers for Human Identification and Paternity Analysis in Persian Population

2019 ◽  
Vol 17 (3) ◽  
pp. 68-71
Author(s):  
Sajad Habibi ◽  
Amirhossein Ahmadi ◽  
Mehrdad Behmanesh ◽  
Ali Miri ◽  
Mahmoud Tavallaie
2005 ◽  
Vol 148 (2-3) ◽  
pp. 107-112 ◽  
Author(s):  
Hwan Young Lee ◽  
Myung Jin Park ◽  
Ji-Eun Yoo ◽  
Ukhee Chung ◽  
Gil-Ro Han ◽  
...  

2002 ◽  
Vol 13 (5) ◽  
pp. 272-281 ◽  
Author(s):  
Michael P. Heaton ◽  
Gregory P. Harhay ◽  
Gary L. Bennett ◽  
Roger T. Stone ◽  
W. Michael Grosse ◽  
...  

2019 ◽  
Vol 46 (2) ◽  
pp. 307-314
Author(s):  
Yu-Qing ZHANG ◽  
Juan ZOU ◽  
Yi-Ke LIU ◽  
Wei-Jie HE ◽  
Zhan-Wang ZHU ◽  
...  

2019 ◽  
Vol 17 (06) ◽  
pp. 1940012
Author(s):  
Yuan Liu ◽  
Yongchao Ma ◽  
Evan Salsman ◽  
Frank A. Manthey ◽  
Elias M. Elias ◽  
...  

Mapping short reads to a reference genome is an essential step in many next-generation sequencing (NGS) analyses. In plants with large genomes, a large fraction of the reads can align to multiple locations of the genome with equally good alignment scores. How to map these ambiguous reads to the genome is a challenging problem with big impacts on the downstream analysis. Traditionally, the default method is to assign an ambiguous read randomly to one of the many potential locations. In this study, we explore two alternative methods that are based on the hypothesis that the possibility of an ambiguous read being generated by a location is proportional to the total number of reads produced by that location: (1) the enrichment method that assigns an ambiguous read to the location that has produced the most reads among all the potential locations, (2) the probability method that assigns an ambiguous read to a location based on a probability proportional to the number of reads the location produces. We systematically compared the performance of the proposed methods with that of the default random method. Our results showed that the enrichment method produced better results than the default random method and the probability method in the discovery of single nucleotide polymorphisms (SNPs). Not only did it produce more SNP markers, but it also produced SNP markers with better quality, which was demonstrated using multiple mainstay genomic analyses, including genome-wide association studies (GWAS), minor allele distribution, population structure, and genomic prediction.


Author(s):  
K Nandini ◽  
T. Surendran ◽  
S. Sobana ◽  
B. K. Chitra ◽  
T. Kalaiselvi

Author(s):  
S. Braga ◽  
B. Sampaio-Maia ◽  
M. L. Pereira ◽  
I. M. Caldas
Keyword(s):  

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