Context-dependent individualization of nucleotides and virtual genomic hybridization allow the precise location of human SNPs.

ABSTRACT: We have entered the era of individual genomic sequencing, and can already see exponential progress in the field. It is of utmost importance to exclude false-positive variants from reported datasets. However, because of the nature of the used algorithms, this task has not been optimized to the required level of precision. This study presents a unique strategy for identifying SNPs, called COIN-VGH, that largely minimizes the presence of false-positives in the generated data. The algorithm was developed using the X-chromosome-specific regions from the previously sequenced genomes of Craig Venter and James Watson. The algorithm is based on the concept that a nucleotide can be individualized if it is analyzed in the context of its surrounding genomic sequence. COIN-VGH consists of defining the

SUBMITTER: Reyes J 

PROVIDER: S-EPMC3174668 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature