Warp2D is a novel time alignment approach, which uses the overlapping peak volume of the reference and sample peak lists to correct misleading peak shifts. Here, we present an easyto- use web interface for high-throughput Warp2D batch processing time alignment service using the Dutch Life Science Grid, reducing processing time from days to hours. This service provides the warping function, the sample chromatogram peak list with adjusted retention times and normalized quality scores based on the sum of overlapping peak volume of all peaks. Heat maps before and after time alignment are created from the arithmetic mean of the sum of overlapping peak area rearranged with hierarchical clustering, allowing the quality control of the time alignmen...
Recently, liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technique...
In many omics fields, experimental data are collected using hyphenated techniques coupling detection...
Summary: Alignment of peaks across samples is a difficult but unavoidable step in the data analysis ...
Warp2D is a novel time alignment approach, which uses the overlapping peak volume of the reference a...
We describe a new time alignment method that takes advantage of both dimensions of LC-MS data to res...
Summary: We describe ChromA, a web-based pairwise alignment tool for chromatography-mass spectrometr...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
Retention time alignment is one of the most challenging steps in processing LC-MS datasets of comple...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
This poster presents an approach which uses pairwise local alignment of MS/MS-based chromatograms ac...
Motivation: Proteomics has particularly evolved to become of high interest for the field of biomarke...
Recently, liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technique...
In many omics fields, experimental data are collected using hyphenated techniques coupling detection...
Summary: Alignment of peaks across samples is a difficult but unavoidable step in the data analysis ...
Warp2D is a novel time alignment approach, which uses the overlapping peak volume of the reference a...
We describe a new time alignment method that takes advantage of both dimensions of LC-MS data to res...
Summary: We describe ChromA, a web-based pairwise alignment tool for chromatography-mass spectrometr...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
Retention time alignment is one of the most challenging steps in processing LC-MS datasets of comple...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
This poster presents an approach which uses pairwise local alignment of MS/MS-based chromatograms ac...
Motivation: Proteomics has particularly evolved to become of high interest for the field of biomarke...
Recently, liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technique...
In many omics fields, experimental data are collected using hyphenated techniques coupling detection...
Summary: Alignment of peaks across samples is a difficult but unavoidable step in the data analysis ...