Selected article for: "false positive and footprint effect"

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_4
    Snippet: Several studies have been published describing the principles of resequencing array technology, emphasizing its application for genotyping in both prokaryotes and eukaryotes (3) (4) (5) (6) (7) (8) (9) (10) . The underlying Affymetrix Õ basecalling software (4) used in the reported studies, although powerful, is limited in its capacity to account for some genome-scale induced artifacts. For example, deletions in the sample DNA relative to the re.....
    Document: Several studies have been published describing the principles of resequencing array technology, emphasizing its application for genotyping in both prokaryotes and eukaryotes (3) (4) (5) (6) (7) (8) (9) (10) . The underlying Affymetrix Õ basecalling software (4) used in the reported studies, although powerful, is limited in its capacity to account for some genome-scale induced artifacts. For example, deletions in the sample DNA relative to the reference sequence can cause poor hybridization performance, resulting in a mixture of no-calls and false-positive SNP calls in the affected regions (the low homology effect); the large population of target DNA fragments in a wholegenome sample may contain sequences capable of high-efficiency hybridization with more than one of the probe pairs, resulting in a false-positive SNP call (the alternate homology effect) and the local destabilizing effect of genuine SNPs in the sample leads to false-positive calls at adjacent genome locations (the footprint effect).

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