Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://polyomics.mvls.gla.ac.uk
Full name: The Polyomics integrated Metabolomics Pipeline
Description: The Polyomics integrated Metabolomics Pipeline (PiMP) fulfils an unmet need in metabolomics data analysis. PiMP offers automated and user-friendly analysis from mass spectrometry data acquisition to biological interpretation.
Year founded: 2017
Last update:
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: United Kingdom

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Institute of Infection, Immunity and Inflammation.
Address: Institute of Infection, Immunity and Inflammation, Glasgow Polyomics
City: Glasgow
Province/State:
Country/Region: United Kingdom
Contact name (PI/Team): Karl Burgess
Contact email (PI/Helpdesk): karl.burgess@glasgow.ac.uk

Publications

28961954
PiMP my metabolome: an integrated, web-based tool for LC-MS metabolomics data. [PMID: 28961954]
Gloaguen Y, Morton F, Daly R, Gurden R, Rogers S, Wandy J, Wilson D, Barrett M, Burgess K.

Summary: The Polyomics integrated Metabolomics Pipeline (PiMP) fulfils an unmet need in metabolomics data analysis. PiMP offers automated and user-friendly analysis from mass spectrometry data acquisition to biological interpretation. Our key innovations are the Summary Page, which provides a simple overview of the experiment in the format of a scientific paper, containing the key findings of the experiment along with associated metadata; and the Metabolite Page, which provides a list of each metabolite accompanied by 'evidence cards', which provide a variety of criteria behind metabolite annotation including peak shapes, intensities in different sample groups and database information.
Availability and implementation: PiMP is available at http://polyomics.mvls.gla.ac.uk, and access is freely available on request. 50?GB of space is allocated for data storage, with unrestricted number of samples and analyses per user. Source code is available at https://github.com/RonanDaly/pimp and licensed under the GPL.
Contact: karl.burgess@glasgow.ac.uk.
Supplementary information: Supplementary data are available at Bioinformatics online.

Bioinformatics. 2017:33(24) | 29 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
1968/6000 (67.217%)
Raw bio-data:
149/539 (72.542%)
1968
Total Rank
29
Citations
4.143
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Lina Ma [2018-04-19]
Aniza Aziz [2018-04-18]