Author: Pandya, Gagan A.; Holmes, Michael H.; Sunkara, Sirisha; Sparks, Andrew; Bai, Yun; Verratti, Kathleen; Saeed, Kelly; Venepally, Pratap; Jarrahi, Behnam; Fleischmann, Robert D.; Peterson, Scott N.
Title: A bioinformatic filter for improved base-call accuracy and polymorphism detection using the Affymetrix GeneChip® whole-genome resequencing platform Document date: 2007_11_15
ID: 16tii0ha_1
Snippet: Detection, identification and typing of infectious microorganisms are crucial in many areas of basic and translational research. There is an urgent need for accurate, high-resolution microbial genotyping methods, in spite of the existence of a number of widely used typing methods. That is because the current methods offer only low-resolution and limited genotyping. Single nucleotide polymorphisms (SNPs), horizontal gene transfer and/or intragenic.....
Document: Detection, identification and typing of infectious microorganisms are crucial in many areas of basic and translational research. There is an urgent need for accurate, high-resolution microbial genotyping methods, in spite of the existence of a number of widely used typing methods. That is because the current methods offer only low-resolution and limited genotyping. Single nucleotide polymorphisms (SNPs), horizontal gene transfer and/or intragenic recombination are all known to lead to variations and genome plasticity in an organism. The diversity of an organism can be explicitly understood provided these events are identified and analyzed quantitatively and qualitatively at the whole-genome level.
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