This repository contains original teaching materials created by Maggie Wagner and Camille Delavaux for the University of Kansas course BIOL701: "Microbiomes from Data to Insight" in spring 2020. We hope these materials will be a useful resource. Feel free to share, re-use, or adapt the slides for educational purposes. GNU R Annotation Database Interface for BioConductor r-bioc-annotationfilter (1.6.0+dfsg-1) facilities for filtering Bioconductor annotation resources r-bioc-annotationhub (2.14.3+dfsg-1) GNU R client to access AnnotationHub resources r-bioc-aroma.light (3.12.0-1) BioConductor methods normalization and visualization of microarray data
Normalizing multiple audio tracks. If you select multiple tracks and apply the Normalize effect, then all audio tracks will be independently normalized to the same peak level. For example, if you set "Normalize Maximum Amplitude to:" 0.0 dB, every selected audio track will be normalized to 0.0 dB, irrespective of its original level.