Literature DB >> 33724840

OpenTIMS, TimsPy, and TimsR: Open and Easy Access to timsTOF Raw Data.

Mateusz K Łącki1, Michał P Startek2, Sven Brehmer3, Ute Distler1, Stefan Tenzer1.   

Abstract

The Bruker timsTOF Pro is an instrument that couples trapped ion mobility spectrometry (TIMS) to high-resolution time-of-flight (TOF) mass spectrometry (MS). For proteomics, lipidomics, and metabolomics applications, the instrument is typically interfaced with a liquid chromatography (LC) system. The resulting LC-TIMS-MS data sets are, in general, several gigabytes in size and are stored in the proprietary Bruker Tims data format (TDF). The raw data can be accessed using proprietary binaries in C, C++, and Python on Windows and Linux operating systems. Here we introduce a suite of computer programs for data accession, including OpenTIMS, TimsR, and TimsPy. OpenTIMS is a C++ library capable of reading Bruker TDF files. It opens up Bruker's proprietary codebase. TimsPy and TimsR build on top of OpenTIMS, enabling swift and user-friendly data access to the raw data with Python and R. Both programs are available under a GPL3 license on all major platforms, extending the possibility to interact with timsTOF data to macOS. Additionally, OpenTIMS is capable of translating Bruker data into HDF5 files that can be easily analyzed from Python with the vaex module. OpenTIMS and TimsPy therefore provide easy and quick access to Bruker timsTOF raw data.

Keywords:  OpenTIMS; TimsPy; data access; ion mobility; lipidomics; mass spectrometry; metabolomics; proteomics; raw data; timsTOF

Year:  2021        PMID: 33724840     DOI: 10.1021/acs.jproteome.0c00962

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data.

Authors:  Konstantin Bob; David Teschner; Thomas Kemmer; David Gomez-Zepeda; Stefan Tenzer; Bertil Schmidt; Andreas Hildebrandt
Journal:  BMC Bioinformatics       Date:  2022-07-20       Impact factor: 3.307

  1 in total

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