Literature DB >> 33467846

A Practical Guide to Metabolomics Software Development.

Hui-Yin Chang1,2, Sean M Colby3, Xiuxia Du4, Javier D Gomez5, Maximilian J Helf6, Katerina Kechris7, Christine R Kirkpatrick8, Shuzhao Li9, Gary J Patti10, Ryan S Renslow3,11, Shankar Subramaniam8,12, Mukesh Verma13, Jianguo Xia14, Jamey D Young5,15.   

Abstract

A growing number of software tools have been developed for metabolomics data processing and analysis. Many new tools are contributed by metabolomics practitioners who have limited prior experience with software development, and the tools are subsequently implemented by users with expertise that ranges from basic point-and-click data analysis to advanced coding. This Perspective is intended to introduce metabolomics software users and developers to important considerations that determine the overall impact of a publicly available tool within the scientific community. The recommendations reflect the collective experience of an NIH-sponsored Metabolomics Consortium working group that was formed with the goal of researching guidelines and best practices for metabolomics tool development. The recommendations are aimed at metabolomics researchers with little formal background in programming and are organized into three stages: (i) preparation, (ii) tool development, and (iii) distribution and maintenance.

Entities:  

Year:  2021        PMID: 33467846     DOI: 10.1021/acs.analchem.0c03581

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Impact of phosphate concentration on the metabolome of biofilms of the marine bacterium Pseudoalteromonas lipolytica.

Authors:  Nathan Carriot; Raphaëlle Barry-Martinet; Jean-François Briand; Annick Ortalo-Magné; Gérald Culioli
Journal:  Metabolomics       Date:  2022-03-15       Impact factor: 4.290

Review 2.  Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data.

Authors:  Zhiqiang Pang; Guangyan Zhou; Jessica Ewald; Le Chang; Orcun Hacariz; Niladri Basu; Jianguo Xia
Journal:  Nat Protoc       Date:  2022-06-17       Impact factor: 17.021

3.  IDSL.IPA Characterizes the Organic Chemical Space in Untargeted LC/HRMS Data Sets.

Authors:  Sadjad Fakouri Baygi; Yashwant Kumar; Dinesh Kumar Barupal
Journal:  J Proteome Res       Date:  2022-05-17       Impact factor: 5.370

4.  OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics.

Authors:  Guangyan Zhou; Zhiqiang Pang; Yao Lu; Jessica Ewald; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2022-05-26       Impact factor: 19.160

Review 5.  Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches.

Authors:  Mehdi A Beniddir; Kyo Bin Kang; Grégory Genta-Jouve; Florian Huber; Simon Rogers; Justin J J van der Hooft
Journal:  Nat Prod Rep       Date:  2021-11-17       Impact factor: 13.423

6.  DEIMoS: An Open-Source Tool for Processing High-Dimensional Mass Spectrometry Data.

Authors:  Sean M Colby; Christine H Chang; Jessica L Bade; Jamie R Nunez; Madison R Blumer; Daniel J Orton; Kent J Bloodsworth; Ernesto S Nakayasu; Richard D Smith; Yehia M Ibrahim; Ryan S Renslow; Thomas O Metz
Journal:  Anal Chem       Date:  2022-04-17       Impact factor: 8.008

Review 7.  Integrated Metabolomic-Genomic Workflows Accelerate Microbial Natural Product Discovery.

Authors:  Nicole E Avalon; Alison E Murray; Bill J Baker
Journal:  Anal Chem       Date:  2022-08-22       Impact factor: 8.008

  7 in total

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