There are 35 repositories under biotechnology topic.
Comprehensive automatic differentiation in C++
Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
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
Binomica Public Repository for Biological Parts
A free and collaborative space for Machine Learning 🤖 applied to Biology 🧬
Explore biomolecular pathways in Reactome from the command-line or a Python script
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.
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.
genomics, biochemistry, biotechnology, cell biology, biophysics, ecology
Wetlab Calculator
Resources for learning Biotechnology, Biology, Synthetic Biology, Genomic and Bioinformatic
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 regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.
A Python molecular biology CAD tool with a dead-simple user interface
Icahn Graduate School of Medicine: Systems Biology & Biotechnology Specialization
Practical biomagnet stimulators for science, development and entertainment! Open source!
ZINC is an indie project supported by the community. Thank you!
Deep Learning Template for bacterial image classification in Keras.
Drug repurposing 💊 using knowledge graph embeddings with a focus on vector-borne diseases
High-Performance Automatic Differentiation for Python
App for analysing genetic code
Recommended Books for all Engineering Department Students at a single platform
Open source web app for DNA design and management
Database of Structural Propensities of Proteins (dSPP) raw data repository by Peptone Inc.
In the realm of EKG/ECG analysis, deep learning models have made significant strides. However, the pursuit of efficiency and accuracy persists. The proposed Mamba Biometric EKG Analysis Technology (MambaBEAT) project aims to utilize the Mamba model, a promising sequence modeling architecture, to further advance EKG analysis.
Gene expression analysis is a fundamental component of genomics research, providing valuable insights into how genes are regulated and their impact on various biological processes. This project delves into the realm of gene expression data, aiming to uncover hidden patterns and relationships within complex datasets. 🚀
Bacterial cells can be attached to the surface of a glass slide through their flagella which results in the cell body to rotate because of the presence of the bacterial flagellar motor, this program calculates angular velocity, number of frames rotated in clockwise direction and anti clockwise direction, frequency, length of cell, the center of rotation etc and gives outputs in the form of graphs and 2 .csv files
Simulate industrial fermentation processes and generate large data sets resembling real systems 🚀
A self executable last will in the format of a Solidity smart contract, compatible with the public Ethereum blockchain and relevant EVM-powered protocols and layers.