Powerful automatic differentiation in C and Python

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

CodonTransformer: The ultimate tool for codon optimization, optimizing DNA sequences for heterologous protein expression across 164 species.

The software behind Chai's open-source Real-Time PCR instrument

A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process

Fast and Accurate CE-, GC- and LC-MS(/MS) Data Processing

A free and collaborative space for Machine Learning 🤖 applied to Biology 🧬

Binomica Public Repository for Biological Parts

This repo is dedicated to make bioinformatics resources available for anyone who wish to enter this field. (You may find it useful or not useful based on your level). I am still embarking my path in the field, just posting things based on my knowledge and the things which worked for me personally, they may/may not work with you, totally fine.

Explore biomolecular pathways in Reactome from the command-line or a Python script

TISIGNER: Unleash the power of synthetic biology

This project is done for the Biomedicine, Biotechnology and Public Healthcare department of the University of Cádiz. They idea is to automatize the processing of the microscopic images of their experiments related to angiogenesis.

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

Resources for learning Biotechnology, Biology, Synthetic Biology, Genomic and Bioinformatic

genomics, biochemistry, biotechnology, cell biology, biophysics, ecology

Icahn Graduate School of Medicine: Systems Biology & Biotechnology Specialization

Wetlab Calculator

A Python molecular biology CAD tool with a dead-simple user interface

Biotech with biopython

I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my…