Code and analysis scripts for analyzing newly transcribed RNA in large-scale compound screen experiments

Plan and analyse large-scale liquid transfers

Compound dilutions entirely within an Echo acoustic liquid handler.

An SGC Chemical Networks Project devoted to the DENV Rdrp, focusing specifically on exploring the LifeChemicals library

An SGC Open Chemistry Networks Project (number 21) dedicated to finding hits vs CHIKV nsp2 helicase based on a HTS of a Asinex library.

This paper develops new methods to handle false positives in High-Throughput Screening experiments.

We present a detailed study of the asymptotic behavior of the distribution of the tails of these, perhaps, most commonly used statistical tests under non-standard conditions, that is, releasing the underlying assumptions of normality, independence and identical distribution and considering a more general case where one only assumes that the vect…

Code for an artificial neural net classifier of small molecule GPCR activity

High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.

A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.

EPA data on 1,800 chemicals across 700+ assay endpoints

Visualizing the Equilibrium and Kinetics of Protein-Ligand Binding and Competitive Binding

pytcpl is a streamlined Python package that incorporates the levels 4 to 6 of tcpl+tcplFit2, providing concentration-response curve fitting and hit-calling. It utilizes the Invitrodb version 4.1 release (September 21, 2023) as backend database.

This pipeline facilitates setting up ligand docking against a protein using AutoDock-GPU. It streamlines the process of docking a ligand library onto a protein structure, leveraging the enhanced performance of AutoDock-GPU for faster results.

This repository contains the files created and used for the Opportunities for Undergraduate Research Program, 2018.

Performance and Robustness trade-offs in yeast - analysis of phenotypic data from 24 Saccharomyces cerevisiae strains grown in 29 conditions

Scripts for use with BIOMERO

Sau's implementation of the MATLAB Colony Analyzer Toolkit and Bean MATLAB Toolkit to analyze high-throughput screening data.

LI Detector analytical pipeline for colony-based high-throughput screens.

🏮 Parsing and analysing platereader absorbance and fluorescence data.