Python

Tools for simulating conventional and single-cell transcriptome sequencing readouts.

Mar 17, 2025

A comprehensive analysis platform that uses simulated or real sequencing data to improve molecular quantification algorithms.

Mar 16, 2025

The Markov clustering algorithm is used to remove PCR artifacts in sequencing molecules labelled with single-UMI tags.

Mar 16, 2025

PyPropel provides a Python interface to better pre-processing and post-processing protein data. pre-processing: interaction sites, protein datasets, protein features, etc. post-processing: statistics plot, evaluation, protein functional classes, etc.

Mar 1, 2025

machine learning, structural biology

Jun 1, 2024

TMKit is an open-source Python programming interface, which is modular, scalable, and specifically designed for processing transmembrane protein data. It enables users to perform database wrangling, engineer features at the mutational, domain, and topological levels, and visualise protein-protein interaction interfaces through its unique programming interface.

Aug 17, 2023

DeepdlncUD is used to predict the regulation types of small molecules on modulating lncRNA expression. This method is powered by 9 deep learning models.

Jul 1, 2023

Drutai is used to predict interactions between small molecule drugs and protein targets. This program has been made by using 12 leading deep learning frameworks.

May 17, 2023

DeepsmirUD is used to predict the regulation types of small molecules on modulating microRNA expression. This method is powered by 12 deep learning models.

Jan 18, 2023

DeepTMInter is a deep-learning-based approach for predicting interaction sites in transmembrane proteins. It was developed using stacked generalization ensembles of ultradeep residual neural networks.

Mar 9, 2021