MetumpX-a metabolomics support package for untargeted mass spectrometry
Autor: | Bilal Wajid, Momina Jamil, Faria Anwar, Hafsa Rafique, Hasan Iqbal |
---|---|
Přispěvatelé: | İstanbul Ticaret Üniversitesi |
Rok vydání: | 2019 |
Předmět: |
Statistics and Probability
Data Analysis Workstation Computer science computer.software_genre Biochemistry Mass Spectrometry law.invention 03 medical and health sciences Upload Software Installation law Metabolomics Molecular Biology 030304 developmental biology 0303 health sciences business.industry 030302 biochemistry & molecular biology Pipeline (software) Computer Science Applications Computational Mathematics Computational Theory and Mathematics Scripting language Software engineering business computer |
Zdroj: | Bioinformatics (Oxford, England). 36(5) |
ISSN: | 1367-4811 |
Popis: | Motivation Metabolomics is a data analysis and interpretation field aiming to study functions of small molecules within the organism. Consequently Metabolomics requires researchers in life sciences to be comfortable in downloading, installing and scripting of software that are mostly not user friendly and lack basic GUIs. As the researchers struggle with these skills, there is a dire need to develop software packages that can automatically install software pipelines truly speeding up the learning curve to build software workstations. Therefore, this paper aims to provide MetumpX, a software package that eases in the installation of 103 software by automatically resolving their individual dependencies and also allowing the users to choose which software works best for them. Results MetumpX is a Ubuntu-based software package that facilitate easy download and installation of 103 tools spread across the standard metabolomics pipeline. As far as the authors know MetumpX is the only solution of its kind where the focus lies on automating development of software workstations. Availability and implementation https://github.com/hasaniqbal777/MetumpX-bin. Supplementary information Supplementary data are available at Bioinformatics online. |
Databáze: | OpenAIRE |
Externí odkaz: |