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[HTML][HTML] Software tools and approaches for compound identification of LC-MS/MS data in metabolomics
The annotation of small molecules remains a major challenge in untargeted mass
spectrometry-based metabolomics. We here critically discuss structured elucidation …
spectrometry-based metabolomics. We here critically discuss structured elucidation …
Advanced analytical and informatic strategies for metabolite annotation in untargeted metabolomics
Liquid chromatography–mass spectrometry (LC–MS)-based untargeted metabolomics is
constantly challenged by large-scale and unambiguous metabolite annotation in complex …
constantly challenged by large-scale and unambiguous metabolite annotation in complex …
Standardized multi-omics of Earth's microbiomes reveals microbial and metabolite diversity
Despite advances in sequencing, lack of standardization makes comparisons across studies
challenging and hampers insights into the structure and function of microbial communities …
challenging and hampers insights into the structure and function of microbial communities …
SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information
Mass spectrometry is a predominant experimental technique in metabolomics and related
fields, but metabolite structural elucidation remains highly challenging. We report SIRIUS 4 …
fields, but metabolite structural elucidation remains highly challenging. We report SIRIUS 4 …
Reproducible molecular networking of untargeted mass spectrometry data using GNPS
Abstract Global Natural Product Social Molecular Networking (GNPS) is an interactive online
small molecule–focused tandem mass spectrometry (MS2) data curation and analysis …
small molecule–focused tandem mass spectrometry (MS2) data curation and analysis …
The Chemistry Development Kit (CDK) v2. 0: atom ty**, depiction, molecular formulas, and substructure searching
Abstract Background The Chemistry Development Kit (CDK) is a widely used open source
cheminformatics toolkit, providing data structures to represent chemical concepts along with …
cheminformatics toolkit, providing data structures to represent chemical concepts along with …
Fully automated unconstrained analysis of high-resolution mass spectrometry data with machine learning
Mass spectrometry (MS) is a convenient, highly sensitive, and reliable method for the
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …
Recent advances in proteomics and metabolomics in plants
Over the past decade, systems biology and plant-omics have increasingly become the main
stream in plant biology research. New developments in mass spectrometry and …
stream in plant biology research. New developments in mass spectrometry and …
Propagating annotations of molecular networks using in silico fragmentation
The annotation of small molecules is one of the most challenging and important steps in
untargeted mass spectrometry analysis, as most of our biological interpretations rely on …
untargeted mass spectrometry analysis, as most of our biological interpretations rely on …
Natural products targeting strategies involving molecular networking: different manners, one goal
Covering: up to 2019 Landmark advances in bioinformatics tools have recently enhanced
the field of natural products research, putting today's natural product chemists in the …
the field of natural products research, putting today's natural product chemists in the …