Automated Annotation of Sphingolipids Including Accurate Identification of Hydroxylation Sites Using MSn Data
Sign Up to like & getrecommendations! Published in 2020 at "Analytical Chemistry"
DOI: 10.1021/acs.analchem.0c03016
Abstract: Sphingolipids constitute a heterogeneous lipid category that is involved in many key cellular functions. For high-throughput analyses of sphingolipids, tandem mass spectrometry (MS/MS) is the method of choice, offering sufficient sensitivity, structural information, and quantitative… read more here.
Keywords: hydroxylation sites; automated annotation; annotation; sphingolipids including ... See more keywords
Automated Annotation of Untargeted All-Ion Fragmentation LC–MS Metabolomics Data with MetaboAnnotatoR
Sign Up to like & getrecommendations! Published in 2022 at "Analytical Chemistry"
DOI: 10.1021/acs.analchem.1c03032
Abstract: Untargeted metabolomics and lipidomics LC–MS experiments produce complex datasets, usually containing tens of thousands of features from thousands of metabolites whose annotation requires additional MS/MS experiments and expert knowledge. All-ion fragmentation (AIF) LC–MS/MS acquisition provides… read more here.
Keywords: automated annotation; fragmentation; ion fragmentation; metaboannotator ... See more keywords
Automated annotation of human centromeres with HORmon
Sign Up to like & getrecommendations! Published in 2022 at "Genome Research"
DOI: 10.1101/gr.276362.121
Abstract: Recent advances in long-read sequencing opened a possibility to address the long-standing questions about the architecture and evolution of human centromeres. They also emphasized the need for centromere annotation (partitioning human centromeres into monomers and… read more here.
Keywords: automated annotation; human centromeres; centromere annotation; hor ... See more keywords
Automated annotation of birdsong with a neural network that segments spectrograms
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.7554/elife.63853
Abstract: Songbirds provide a powerful model system for studying sensory-motor learning. However, many analyses of birdsong require time-consuming, manual annotation of its elements, called syllables. Automated methods for annotation have been proposed, but these methods assume… read more here.
Keywords: automated annotation; neural network; annotation birdsong; annotation ... See more keywords