xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data

Abstract Background Detection of low abundance metabolites is important for de novo mapping of metabolic pathways related to diet, microbiome or environmental exposures.Multiple algorithms are available to extract m/z features from liquid chromatography-mass spectral data in a conservative manner, which tends to preclude detection of low abundance

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From Smileys to Smileycoins: Using a copyright in Education

Paring Knife Sets This paper describes a copyright to reward students for their studies.The currency bears the apt name Smileycoin or SMLY and is used within the tutor-web online learning platform.In order to make the SMLY attractive to students several approaches have been used, including support from companies whose services can be purchased for

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