Summary: Genome-wide association studies, which produce huge volumes of data, are now being carried out by many groups around the world, creating a need for user friendly tools for data quality control and analysis. One critical aspect of GWAS quality control is evaluating genotype cluster plots to verify sensible genotype calling in putatively associated SNPs. Evoker is a tool for visualizing genotype cluster plots, and provides a solution to the computational and storage problems related to working with such large datasets
New software tools for graphical genotyping are required that can routinely handle the large data vo...
High-throughput genotyping arrays provide an efficient way to survey single nucleotide polymorphisms...
Tracking and understanding data quality, analysis and reproducibility are critical concerns in the b...
Summary: Genome-wide association studies (GWAS), which produce huge volumes of data, are now being c...
Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and d...
Genome-wide association analysis appears to be a promising way to identify heritable susceptibility ...
Background: The volume of data available on genetic variations has increased considerably with the r...
Summary: We present a tool designed for visualization of large-scale genetic and genomic data exempl...
Scalable processing of large, heterogeneous, and possible incomplete and/or conflicting data, makes ...
With the continuous improvement in genotyping and molecular phenotyping technology and the decreasin...
Abstract Background Selection of interesting regions from genome wide association studies (GWAS) is ...
With the continuous improvement in genotyping and molecular phenotyping technology and the decreasin...
AbstractHigh-throughput genotyping chips have produced huge datasets for genome-wide association stu...
With the continuous improvement in genotyping and molecular phenotyping technology and the decreas-i...
Summary: New software tools for graphical genotyping are required that can routinely handle the larg...
New software tools for graphical genotyping are required that can routinely handle the large data vo...
High-throughput genotyping arrays provide an efficient way to survey single nucleotide polymorphisms...
Tracking and understanding data quality, analysis and reproducibility are critical concerns in the b...
Summary: Genome-wide association studies (GWAS), which produce huge volumes of data, are now being c...
Genome-wide association studies (GWAS) are an important tool for the mapping of complex traits and d...
Genome-wide association analysis appears to be a promising way to identify heritable susceptibility ...
Background: The volume of data available on genetic variations has increased considerably with the r...
Summary: We present a tool designed for visualization of large-scale genetic and genomic data exempl...
Scalable processing of large, heterogeneous, and possible incomplete and/or conflicting data, makes ...
With the continuous improvement in genotyping and molecular phenotyping technology and the decreasin...
Abstract Background Selection of interesting regions from genome wide association studies (GWAS) is ...
With the continuous improvement in genotyping and molecular phenotyping technology and the decreasin...
AbstractHigh-throughput genotyping chips have produced huge datasets for genome-wide association stu...
With the continuous improvement in genotyping and molecular phenotyping technology and the decreas-i...
Summary: New software tools for graphical genotyping are required that can routinely handle the larg...
New software tools for graphical genotyping are required that can routinely handle the large data vo...
High-throughput genotyping arrays provide an efficient way to survey single nucleotide polymorphisms...
Tracking and understanding data quality, analysis and reproducibility are critical concerns in the b...