MetHouse: Raw and Preprocessed Mass Spectrometry Data

نویسندگان

  • Antje Gaida
  • Steffen Neumann
چکیده

We are developing a vendor-independent archive and on top of that a data warehouse for mass spectrometry metabolomics data. The archive schema resembles the communitydeveloped object model, the Java implementation of the model classes, and an editor (for both mzData XML files and the database) have been generated using the Eclipse Modeling Framework. Persistence is handled by the JDO2 -compliant framework JPOX. The main content of the Data Warehouse are the results of the signal processing and peak-picking tasks, carried out using the XCMS package from Bioconductor, putative identification and mass decomposition are added to the warehouse afterwards. We present the system architecture, current content, performance observations and describe the analysis tools on top of the warehouse. Availability: http://msbi.ipb-halle.de/

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mass spectrometry analysis using MALDIquant

MALDIquant and associated R packages provide a versatile and completely free open-source platform for analyzing 2D mass spectrometry data as generated for instance by MALDI and SELDI instruments. We first describe the various methods and algorithms available in MALDIquant. Subsequently, we illustrate a typical analysis workflow using MALDIquant by investigating an experimental cancer data set, ...

متن کامل

Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data

The paper presents the application of Variational Autoencoders (VAE) for data dimensionality reduction and explorative analysis of mass spectrometry imaging data (MSI). The results confirm that VAEs are capable of detecting the patterns associated with the different tissue sub-types with better performance than standard approaches.

متن کامل

A Fast and Accurate Algorithm for the Quantification of Peptides from Mass Spectrometry Data

Liquid chromatography combined with mass spectrometry (LC-MS) has become the prevalent technology in high-throughput proteomics research. One of the aims of this discipline is to obtain accurate quantitative information about all proteins and peptides in a biological sample. Due to size and complexity of the data generated in these experiments, this problem remains a challenging task requiring ...

متن کامل

proFIA: a data preprocessing workflow for flow injection analysis coupled to high-resolution mass spectrometry

Motivation Flow Injection Analysis coupled to High-Resolution Mass Spectrometry (FIA-HRMS) is a promising approach for high-throughput metabolomics. FIA-HRMS data, however, cannot be preprocessed with current software tools which rely on liquid chromatography separation, or handle low resolution data only. Results We thus developed the proFIA package, which implements a suite of innovative al...

متن کامل

The PeptideAtlas project

PeptideAtlas is a multi-species compendium of peptides observed with tandem mass spectrometry methods. Raw mass spectrometer output files are collected from the community and reprocessed through a uniform analysis and validation pipeline that continues to advance. The results are loaded into a database and the information derived from the raw data is returned to the community via several web-ba...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • J. Integrative Bioinformatics

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2007