Next-generation sequencing technology (NGS) enables the discovery of nearly all genetic variants present in a genome. A subset of these variants, however, may have poor sequencing quality due to limitations in NGS or variant callers. In genetic studies that analyze a large number of sequenced individuals, it is critical to detect and remove those variants with poor quality as they may cause spurious findings. In this paper, we present ForestQC, a statistical tool for performing quality control on variants identified from NGS data by combining a traditional filtering approach and a machine learning approach. Our software uses the information on sequencing quality, such as sequencing depth, genotyping quality, and GC contents, to predict whet...
Many studies are focused on analysis of next generation sequencingdata from normal and cancer tissue...
Next generation sequencing technology has been widely used in genomic analysis, but its application ...
<div><p>A critical step in detecting variants from next-generation sequencing data is <em>post hoc</...
Next-generation sequencing technology (NGS) enables the discovery of nearly all genetic variants pre...
With the development of next-generation sequencing technologies, we can detect numerous genetic vari...
Background. Next-generation sequencing enables massively parallel processing, allowing lower cost th...
Detecting genomic structural variants from high-throughput sequencing data is a complex and unresolv...
The development of short-read, next-generation sequencing (NGS) has revolutionized biological resear...
BackgroundGenotypes generated in next generation sequencing studies contain errors which can signifi...
Sequencing has revolutionized biology by permitting the analysis of genomic variation at an unpreced...
Abstract Background Next generation sequencing (NGS) has become a common technology for clinical gen...
A critical step in detecting variants from next-generation sequencing data is post hoc filtering of ...
Background: Accurate calling of SNPs and genotypes from next-generation sequencing data is an essent...
The study of rare variants in next generation sequencing (NGS) experiments enables the detection of ...
The rapidly increasing throughput of sequencing technologies allows us to sequence genomes, transcri...
Many studies are focused on analysis of next generation sequencingdata from normal and cancer tissue...
Next generation sequencing technology has been widely used in genomic analysis, but its application ...
<div><p>A critical step in detecting variants from next-generation sequencing data is <em>post hoc</...
Next-generation sequencing technology (NGS) enables the discovery of nearly all genetic variants pre...
With the development of next-generation sequencing technologies, we can detect numerous genetic vari...
Background. Next-generation sequencing enables massively parallel processing, allowing lower cost th...
Detecting genomic structural variants from high-throughput sequencing data is a complex and unresolv...
The development of short-read, next-generation sequencing (NGS) has revolutionized biological resear...
BackgroundGenotypes generated in next generation sequencing studies contain errors which can signifi...
Sequencing has revolutionized biology by permitting the analysis of genomic variation at an unpreced...
Abstract Background Next generation sequencing (NGS) has become a common technology for clinical gen...
A critical step in detecting variants from next-generation sequencing data is post hoc filtering of ...
Background: Accurate calling of SNPs and genotypes from next-generation sequencing data is an essent...
The study of rare variants in next generation sequencing (NGS) experiments enables the detection of ...
The rapidly increasing throughput of sequencing technologies allows us to sequence genomes, transcri...
Many studies are focused on analysis of next generation sequencingdata from normal and cancer tissue...
Next generation sequencing technology has been widely used in genomic analysis, but its application ...
<div><p>A critical step in detecting variants from next-generation sequencing data is <em>post hoc</...