A statistical method for chromatographic alignment of LC-MS data
نویسندگان
چکیده
منابع مشابه
A statistical method for chromatographic alignment of LC-MS data.
Integrated liquid-chromatography mass-spectrometry (LC-MS) is becoming a widely used approach for quantifying the protein composition of complex samples. The output of the LC-MS system measures the intensity of a peptide with a specific mass-charge ratio and retention time. In the last few years, this technology has been used to compare complex biological samples across multiple conditions. One...
متن کاملChromatographic alignment of ESI-LC-MS proteomics data sets by ordered bijective interpolated warping.
Mass spectrometry proteomics typically relies upon analyzing outcomes of single analyses; however, comparing raw data across multiple experiments should enhance both peptide/protein identification and quantitation. In the absence of convincing tandem MS identifications, comparing peptide quantities between experiments (or fractions) requires the chromatographic alignment of MS signals. An exten...
متن کاملRetention time alignment algorithms for LC/MS data
The goal of proteomics is to understand the individual proteins and their roles in larger biological systems. The study of the human proteome is a crucial component in fields such as drug development and biomarker discovery. Proteomics employs the liquid-chromatography mass-spectrometry technique to identify and quantify the proteins of a complex biological sample. The primary obstacle in compa...
متن کاملDeltAMT: a statistical algorithm for fast detection of protein modifications from LC-MS/MS data.
Identification of proteins and their modifications via liquid chromatography-tandem mass spectrometry is an important task for the field of proteomics. However, because of the complexity of tandem mass spectra, the majority of the spectra cannot be identified. The presence of unanticipated protein modifications is among the major reasons for the low spectral identification rate. The conventiona...
متن کاملDeltAMT: A Statistical Algorithm for Fast Detection of Protein Modifications From LC-MS/MS Data*□S
Identification of proteins and their modifications via liquid chromatography-tandem mass spectrometry is an important task for the field of proteomics. However, because of the complexity of tandem mass spectra, the majority of the spectra cannot be identified. The presence of unanticipated protein modifications is among the major reasons for the low spectral identification rate. The conventiona...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biostatistics
سال: 2006
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxl015