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


Por: Reyes, J, Gomez-Romero, L, Ibarra-Soria, X, Palacios-Flores, K, Arriola, LR, Wences, A, Garcia, D, Boege, M, Davila, G, Flores, M, Palacios, R

Publicada: 13 sep 2011
Categoría: Multidisciplinary

Resumen:
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 data-sets. 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 most comprehensive set of nucleotide strings of a defined length that map with 100% identity to a unique position within the human reference genome (HRG). Such set is used to retrieve sequence reads

Filiaciones:
Reyes, J:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Gomez-Romero, L:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Ibarra-Soria, X:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Palacios-Flores, K:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Arriola, LR:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Wences, A:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Garcia, D:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Boege, M:
 Univ Nacl Autonoma Mexico, Inst Matemat, Cuernavaca 62210, Morelos, Mexico

Davila, G:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Flores, M:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico

Palacios, R:
 Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Cuernavaca 62210, Morelos, Mexico
ISSN: 00278424
Editorial
NATL ACAD SCIENCES, 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 108 Número: 37
Páginas: 1529-1529
WOS Id: 000294804900062
ID de PubMed: 21876154