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TIMSCONVERT: a workflow to convert trapped ion mobility data to open data formats.
Luu, Gordon T; Freitas, Michael A; Lizama-Chamu, Itzel; McCaughey, Catherine S; Sanchez, Laura M; Wang, Mingxun.
Afiliação
  • Luu GT; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
  • Freitas MA; Department of Cancer Biology and Genetics, Ohio State University, Columbus, OH, 43210, USA.
  • Lizama-Chamu I; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
  • McCaughey CS; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
  • Sanchez LM; Department of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
  • Wang M; Department of Computer Science and Engineering, University of California Riverside, Riverside, CA 92521, USA.
Bioinformatics ; 38(16): 4046-4047, 2022 08 10.
Article em En | MEDLINE | ID: mdl-35758608
MOTIVATION: Advances in mass spectrometry have led to the development of mass spectrometers with ion mobility spectrometry capabilities and dual-source instrumentation; however, the current software ecosystem lacks interoperability with downstream data analysis using open-source software and pipelines. RESULTS: Here, we present TIMSCONVERT, a data conversion high-throughput workflow from timsTOF Pro/fleX mass spectrometer raw data files to mzML and imzML formats that incorporates ion mobility data while maintaining compatibility with data analysis tools. We showcase several examples using data acquired across different experiments and acquisition modalities on the timsTOF fleX MS. AVAILABILITY AND IMPLEMENTATION: TIMSCONVERT and its documentation can be found at https://github.com/gtluu/timsconvert and is available as a standalone command-line interface tool for Windows and Linux, NextFlow workflow and online in the Global Natural Products Social (GNPS) platform. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Ecossistema Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Ecossistema Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos