Literature DB >> 16204100

Model-P: a basecalling method for resequencing microarrays of diploid samples.

Yiping Zhan1, David Kulp.   

Abstract

MOTIVATION: Basecalling is a critical step of the analysis of DNA resequencing microarray data for single nucleotide polymorphism discovery and genotyping. For microarrays hybridized with DNA derived from diploid organisms, basecalling with high accuracy at high call rates is a challenging task. Current methods sometimes do not produce satisfactory results.
RESULTS: We explored using physical models based on the sequences of the probe and the target to predict feature intensities in resequencing microarrays. Based on these intensity-predicting models, a new basecalling method (Model-P), which takes into consideration the expected feature intensities for different potential genotypes, was developed. Model-P is shown to have better performance at high call rates compared with ABACUS, the current state-of-the-art method, on a test dataset and on relatively AT-rich regions. AVAILABILITY: Model-P is available upon request.

Mesh:

Substances:

Year:  2005        PMID: 16204100     DOI: 10.1093/bioinformatics/bti1129

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays.

Authors:  Charlie Wah Heng Lee; Chee Wee Koh; Yang Sun Chan; Pauline Poh Kim Aw; Kuan Hon Loh; Bing Ling Han; Pei Ling Thien; Geraldine Yi Wen Nai; Martin L Hibberd; Christopher W Wong; Wing-Kin Sung
Journal:  Nucleic Acids Res       Date:  2010-02-25       Impact factor: 16.971

2.  High-throughput detection of mutations responsible for childhood hearing loss using resequencing microarrays.

Authors:  Prachi Kothiyal; Stephanie Cox; Jonathan Ebert; Ammar Husami; Margaret A Kenna; John H Greinwald; Bruce J Aronow; Heidi L Rehm
Journal:  BMC Biotechnol       Date:  2010-02-10       Impact factor: 2.563

  2 in total

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