Dataset Information

GFScan: a gene family search tool at genomic DNA level.

ABSTRACT: We have developed GFScan(Gene Family Scan), a tool that identifies members of a gene family by searching genomic DNA sequences with genomic DNA motifs (or matrices) that are representative of the family. We have tested GFScan on four human gene families including the neurotransmitter-gated ion-channels (NGIC) family, the carbonic anhydrases (CA) family, the Dbl homology (DH) domain family, and the ETS-domain family. All known members of these families with motifs mapped to sequenced genomic DNA regions were found, whereas some novel genomic locations were also found to match the motifs, which may indicate new members in these families. Compared with other methods, GFScan recognized all true positives with much fewer false positives. We also showed that motifs constructed based on human genes could be used to search the mouse genome to identify orthologous family members in mouse. This program is available at http://www.cshl.org/mzhanglab/.

SUBMITTER: Xuan Z

PROVIDER: S-EPMC186623 | biostudies-literature | 2002 Jul

REPOSITORIES: biostudies-literature

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GFScan: a gene family search tool at genomic DNA level.

Xuan Zhenyu Z McCombie W Richard WR Zhang Michael Q MQ

Genome research 20020701 7

We have developed GFScan(Gene Family Scan), a tool that identifies members of a gene family by searching genomic DNA sequences with genomic DNA motifs (or matrices) that are representative of the family. We have tested GFScan on four human gene families including the neurotransmitter-gated ion-channels (NGIC) family, the carbonic anhydrases (CA) family, the Dbl homology (DH) domain family, and the ETS-domain family. All known members of these families with motifs mapped to sequenced genomic DNA ...[more]

PMID: 12097353

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Project description:BACKGROUND: Allele frequency is one of the most important population indices and has been broadly applied to genetic/genomic studies. Estimation of allele frequency using genotypes is convenient but may lose data information and be sensitive to genotyping errors. RESULTS: This study utilizes a unified intensity-measuring approach to estimating individual-level allele frequencies for 1,104 and 1,270 samples genotyped with the single-nucleotide-polymorphism arrays of the Affymetrix Human Mapping 100K and 500K Sets, respectively. Allele frequencies of all samples are estimated and adjusted by coefficients of preferential amplification/hybridization (CPA), and large ethnicity-specific and cross-ethnicity databases of CPA and allele frequency are established. The results show that using the CPA significantly improves the accuracy of allele frequency estimates; moreover, this paramount factor is insensitive to the time of data acquisition, effect of laboratory site, type of gene chip, and phenotypic status. Based on accurate allele frequency estimates, analytic methods based on individual-level allele frequencies are developed and successfully applied to discover genomic patterns of allele frequencies, detect chromosomal abnormalities, classify sample groups, identify outlier samples, and estimate the purity of tumor samples. The methods are packaged into a new analysis tool, ALOHA (Allele-frequency/Loss-of-heterozygosity/Allele-imbalance). CONCLUSIONS: This is the first time that these important genetic/genomic applications have been simultaneously conducted by the analyses of individual-level allele frequencies estimated by a unified intensity-measuring approach. We expect that additional practical applications for allele frequency analysis will be found. The developed databases and tools provide useful resources for human genome analysis via high-throughput single-nucleotide-polymorphism arrays. The ALOHA software was written in R and R GUI and can be downloaded at http://www.stat.sinica.edu.tw/hsinchou/genetics/aloha/ALOHA.htm.

Dataset Information

GFScan: a gene family search tool at genomic DNA level.

Publications

GFScan: a gene family search tool at genomic DNA level.

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