apLCMS - adaptive processing of high-resolution LC/MS data

By Tianwei Yu, Youngja Park, Jennifer M. Johnson, Dean P. Jones. Bioinform., 2009

364 citations recorded by the source corpus.

Subfields: Food Science, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/2378cead0e00318ed3de3f41abc8e556876432ce

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Steffen Neumann
2. Sai Duraisingham
3. Bali Pulendran
4. Frederick H. Strobel
5. Shuzhao Li
6. T. Eisenberg
7. Nooruddin Khan
8. Youngja Park

In Spectroscopy

1. Steffen Neumann
2. Shuzhao Li
3. Youngja Park
4. Tianwei Yu
5. Dean P. Jones

Citations in the corpus

• xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data (2013, methodology): “The performance of using xMSanalyzer in conjunction with apLCMS was compared to XCMS [9] and apLCMS [17].”
• Predicting Network Activity from High Throughput Metabolomics (2013, methodology): “The LC/MS data were processed with apLCMS program [25] for feature extraction and quantification.”
• IPO: a tool for automated optimization of XCMS parameters (2015, methodology): “A number of software packages for processing LC-MS data have already been developed for data sets of samples that do not rely on labeling [3-12].”