Perspectives in computational mass spectrometry: recent developments and key challenges Abstract. Summary: Mass spectrometry (MS) is a cornerstone technology in modern molecular biology, powering diverse applications across proteomics, metabol

Perspectives in computational mass spectrometry: recent developments and key challenges #BioinformAdv academic.oup.com/bioinformati...

Disc-Hub: a python package for benchmarking machine learning strategies in DIA-MS identification AbstractMotivation. Accurate analysis of data-independent acquisition (DIA) mass spectrometry data relies on machine learning to distinguish target peptide

Disc-Hub: a python package for benchmarking machine learning strategies in DIA-MS identification #BioinformAdv academic.oup.com/bioinformati...

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Core fucose identification in glycoproteomics: an ML approach addressing fucose migration in mass spectrometry #BioinformAdv academic.oup.com/bioinformati...

Enrichment analysis for spatial and single-cell metabolomics accounting for molecular ambiguity AbstractSummary. Imaging mass spectrometry (imaging MS) has advanced spatial and single-cell metabolomics, but the reliance on MS1 data complicates the acc

Enrichment analysis for spatial and single-cell metabolomics accounting for molecular ambiguity #BioinformAdv #MassSpec academic.oup.com/bioinformati...

Rodin: a streamlined metabolomics data analysis and visualization tool AbstractSummary. Recent advances in high-resolution mass spectrometry have revolutionized metabolomics, enabling the profiling of hundreds of thousands of

Rodin: a streamlined metabolomics data analysis and visualization tool #BioinformAdv academic.oup.com/bioinformati...

arcMS: transformation of multi-dimensional high-resolution mass spectrometry data to columnar format for compact storage and fast access AbstractSummary. The arcMS R package addresses the challenges posed by proprietary and open-source high-resolution mass spectrometry data formats by provid

arcMS: transformation of multi-dimensional high-resolution mass spectrometry data to columnar format for compact storage and fast access #BioinformAdv academic.oup.com/bioinformati...