Mingxun Wang

@mingxunwang.bsky.social

Assistant Professor @ UCR Computational Mass Spectrometry, Bioinformatics. #massspec #molecularnetworking #GNPS #MassQL https://www.cs.ucr.edu/~mingxunw/

I am thrilled to share after years of work/procrastination that the MassQL manuscript is finally published in @natmethods.nature.com - "A universal language for finding mass spectrometry data patterns". This was an team effort from all co-authors that helped shape MassQL and how it could be used.

I am excited to share this new paper out in JPR - "MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data." This work introduces the MS-RT method to assess MS/MS clustering accuracy on metabolomics data. doi.org/10.1021/acs....

MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data

The clustering of tandem mass spectra (MS/MS) is a crucial computational step to deduplicate repeated acquisitions in data-dependent experiments. This technique is essential in untargeted metabolomics, particularly with high-throughput mass spectrometers capable of generating hundreds of MS/MS spectra per second. Despite advancements in MS/MS clustering algorithms in proteomics, their performance in metabolomics has not been extensively evaluated due to the lack of database search tools with false discovery rate control for molecule identification. To bridge this gap, this study introduces the MS1-retention time (MS-RT) method to assess MS/MS clustering performance in metabolomics data sets. Here, we validate MS-RT by comparing MS-RT to established proteomics clustering evaluation approaches that utilize database search identifications. Additionally, we evaluate the performance of several MS/MS clustering tools on metabolomics data sets, highlighting their advantages and drawbacks. This MS-RT method and the MS/MS clustering tool benchmarking will provide valuable real world practical recommendations for tools and set the stage for future advancements in metabolomics MS/MS clustering.

doi.org

GNPS2 is planning on being down for server maintenance tomorrow at 12PM PST. We expect 5 hours of downtime to move servers, bring online new storage, and increase networking performance.

It was a wonderful working with so many old friends again at #SIMB. Thank you to all the participants who were super engaged and asked amazing questions. This kind of feedback is what makes building tools so worthwhile for the community and improves future developments.

Pieter Dorrestein@pieterdorrestein.bsky.social · 2y ago

Such a wonderful SIMB workshop on @gnps2.bsky.social covering classical mol networking, FBMN, ion identity based mol networking, FBMN-STATS, gnps-dashboard, CMMC-kb, Modifinder, MicrobeMASST, MassQL, and limited ReDU - many were covered at a workshop for the first time. 1/4