There are 0 repository under high-throughput-screening topic.
Cancer-dedicated gene set interpretation
BIOMERO - A python library for easy connecting between OMERO (jobs) and a Slurm cluster
Easy-to-use python module for training multi-layer perceptrons (neural networks) from molecular SMILES and known associated properties
Crow Really Outta Work - User Friendly GUI for High Throughput Experimentation Automation
Code for an artificial neural net classifier of small molecule GPCR activity
A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.
Frontiers in 2D Perovskene: Tailoring ABC3 Perovskite Structures for Next-Generation Material Applications
High-level module for ultra-fast structural optimisation and property calculations of organic co-polymers.
Scripts for use with BIOMERO
💊 A project examining data from High Throughput Screening center in Poznan.
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.
Novel ultrafast suite for high-throughput & high-content multiparameter screening as in drug discovery. It has unique modules for QC, bias correction, similarity measurement, clustering and visualization. It can process hundreds of samples with many markers in a few hours not days & circumvents bath effect. It couples with any plate reader.
Visualizing the Equilibrium and Kinetics of Protein-Ligand Binding and Competitive Binding
R Scripts for quantification of microbial robustness from high-throughput screenings
An R package that enables the user to perform High Throughput Biological Screening.
Catalyst Library for Material Discovery Studies, including Transition Metal and Transition Metal Derivatives. Materials are compiled from online open-source databases, as well as own calculations. A GUI is included for convenient input file generation. Please expect this to be updated regularly.
Python package for removal of duplicates in (solid state) structural databases
High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.
Performance and Robustness trade-offs in yeast - analysis of phenotypic data from 24 Saccharomyces cerevisiae strains grown in 29 conditions
Code and analysis scripts for analyzing newly transcribed RNA in large-scale compound screen experiments
Phenotypic screening of a CRISPRi strain library [Smith et 2017, Mol Syst Biol (2017)13:913] for acetic acid tolerance targeting essential and respiratory essential genes in Saccharomyces cerevisiae
LI Detector analytical pipeline for colony-based high-throughput screens.
Sau's implementation of the MATLAB Colony Analyzer Toolkit and Bean MATLAB Toolkit to analyze high-throughput screening data.
An SGC Chemical Networks Project devoted to the DENV Rdrp, focusing specifically on exploring the Enamine covalent library
An SGC Open Chemistry Networks Project (number 19) dedicated to finding hits vs CHIKV nsp2 helicase based on a HTS of a Enamine Covalent 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.
Tox21 quantitative high throughput screening (qHTS) 10K library data
EPA data on 1,800 chemicals across 700+ assay endpoints
This repository contains the files created and used for the Opportunities for Undergraduate Research Program, 2018.
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.
An SGC Chemical Networks Project devoted to the DENV Rdrp, focusing specifically on exploring the LifeChemicals library