Volume 15 Issue 7, 1 July 2020

A tutorial for multivariate classification analysis of vibrational spectroscopy data (Fourier-transform infrared, Raman and near-IR) is presented. Guidelines are provided for data preprocessing, data selection, feature extraction, classification and model validation.

An aptamer-trigger-clamped hybridization chain reaction (atcHCR) captures tumor cells in a protective, porous, 3D DNA hydrogel. Subsequent addition of ATP facilitates release of the tumor cells for use in downstream assays.

fMRIPrep is an open-source software tool to ready fMRI datasets for statistical analysis and modeling that is robust to a diversity of inputs and produces standardized outputs, facilitating aggregation of data across studies.

Optimizing the synthesis of chiral compounds involves determining the enantiomerical excess (e.e.) of the products. This protocol describes a high-throughput fluorescence-based assay to determine the e.e. of diols, amino alcohols, and amines.

This protocol describes an in vitro assay for studying how phagocytosis is affected by specific changes to the target surface. The targets are made by coating glass beads with supported lipid bilayers followed by coupling proteins and other ligands of interest.

SCENIC is a computational pipeline to predict cell-type-specific transcription factors through network inference and motif enrichment. Here the authors describe a detailed protocol for pySCENIC: a faster, container-based implementation in Python.