UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis.

Eftychia E Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer, Timo Sachsenberg, Omkar S Mohite, Matin Nuhamunada, Oliver Kohlbacher, Tilmann Weber

May 2023 J Cheminform

Synopsis of Social media discussions

Discussions highlight the technical strengths of UmetaFlow, such as its accuracy and scalability, with commenters describing it as a 'game-changer' and emphasizing its ability to outperform existing tools, which underscores the perceived high impact and interest in its practical applications.

A
Agreement
 Strong agreement

Most discussions praise UmetaFlow’s comprehensive approach and validation, indicating strong support for its effectiveness.

I
Interest
 High level of interest

The high frequency of mentions and positive tone show enthusiastic interest and curiosity among the community.

E
Engagement
 High engagement

Users actively discuss the workflow’s features, validation results, and applications, demonstrating deep engagement.

I
Impact
 High level of impact

The widespread sharing and mentions of presentations at conferences suggest the publication is considered highly influential in metabolomics research.

Social Mentions

YouTube

1 Videos

Twitter

13 Posts

Metrics

Video Views

89

Total Likes

27

Extended Reach

99,949

Social Features

14

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

UmetaFlow: High-Throughput Untargeted Metabolomics Data Processing

UmetaFlow: High-Throughput Untargeted Metabolomics Data Processing

UmetaFlow is an automated, scalable workflow for high-throughput untargeted metabolomics data processing, combining algorithms for data preprocessing, spectral matching, and molecular predictions, and integrates with GNPS for downstream analysis.

Social RTCL TV

August 26, 2023

89 views

  • 金子弘昌＠さきがけ領域アドバイザー
    @hirokaneko226 (Twitter)

    質量分析法に基づくメタボロミクスデータの処理と解析を自動化、ハイスループット化するために構築されたワークフローUmetaFlowの論文。既知の二次代謝物を生産する放線菌の社内LC-MS/MSデータセットと標準物質を用いて検証し、特徴検出と76%の分子式・65%の構造の同定に成功 https://t.co/xuYR8M9YVG
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    May 31, 2023

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  • 곱슬곱슬
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    RT @jcheminf: new: "UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis" https://t.co/3FqvPT7l1…
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    May 25, 2023

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  • Journal of Cheminformatics
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    new: "UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis" https://t.co/3FqvPT7l1O https://t.co/FerZpBalUh
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    May 25, 2023

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    RT @BioMedCentral: An article published in the Journal of Cheminformatics presents UmetaFlow: a computational workflow for untargeted metab…
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    May 21, 2023

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  • BMC
    @BioMedCentral (Twitter)

    An article published in the Journal of Cheminformatics presents UmetaFlow: a computational workflow for untargeted metabolomics that combines algorithms for data pre-processing, spectral matching, molecular formula and structural predictions. https://t.co/Q1NTCV7jsZ
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    May 21, 2023

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    UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis https://t.co/JNhPBhBHXv #chemrxiv_biochem
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    March 6, 2023

  • Dr. Biswapriya Misra
    @BiswapriyaMisra (Twitter)

    RT @yu_free: UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis https://t.co/fPoUw6Wu2t
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    October 25, 2022

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  • Miao Yu
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    UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis https://t.co/fPoUw6Wu2t
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    October 22, 2022

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    UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis https://t.co/YnIDEFil8X #chemrxiv_biochem
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    October 20, 2022

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    UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis https://t.co/hUuD58HteW #chemrxiv_biochem
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    October 19, 2022

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  • EMN Metabolomics Society
    @EMN_MetSoc (Twitter)

    RT @EvaKontou2: Come check my poster on Monday and Tuesday! "UmetaFlow: An Untargeted Metabolomics workflow for (high-throughput) data proc…
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    June 18, 2022

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  • Dr. Biswapriya Misra
    @BiswapriyaMisra (Twitter)

    RT @EvaKontou2: Come check my poster on Monday and Tuesday! "UmetaFlow: An Untargeted Metabolomics workflow for (high-throughput) data proc…
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    June 17, 2022

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  • Efi Kontou
    @EvaKontou2 (Twitter)

    Come check my poster on Monday and Tuesday! "UmetaFlow: An Untargeted Metabolomics workflow for (high-throughput) data processing and analysis" representing @DTUBiosustain and the @OpenMSTeam ☺️
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    June 17, 2022

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Abstract Synopsis

  • UmetaFlow is an automated, scalable workflow designed for high-throughput untargeted metabolomics data processing, which combines algorithms for data preprocessing, spectral matching, and molecular predictions, and integrates with GNPS for downstream analysis.
  • It is implemented as a Snakemake workflow for reproducibility and ease of use, with additional versions available as Jupyter notebooks with Python bindings and as a web-based GUI for smaller datasets.
  • Validation shows UmetaFlow can accurately detect features, annotate molecular formulas and structures, and outperform other tools in identifying ground truth features across different datasets, making it a valuable platform for large metabolomics data interpretation.]