Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
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Updated
Oct 9, 2024 - Python
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Intervene: a tool for intersection and visualization of multiple genomic region and gene sets
Python script to quickly extract promoter and terminator regions with the NCBI API. Search for the presence of individual pattern or transcription factor responsive elements with manual sequence (IUPAC) or JASPAR API.
Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).
Coronavirus genome analysis.
Deep neural networks implemented in TensorFlow & Python for predicting whether transcription factors will bind to given DNA sequences
Python scripting library for generating designs readable by scadnano.
This repository contains the python package for Helical
Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
Deep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).
Pytorch implementation of DeePromoter Active sequence detection for promoter(DNA subsequence regulates transcription initiation of the gene by controlling the binding of RNA polymerase)
Simple Python program to perform codon optimization or heterology calculations.
Yin, C. (2018). Encoding DNA sequences by integer Chaos Game Representation, Journal of Computational Biology
A DNA encryption algorithm based on a symmetric key encryption combined with a genetic algorithm
👾 Generate identicons for DNA sequences with Python
Polyploid micro-haplotype assembly using Markov chain Monte Carlo simulation.
Script for removing or counting invariant sites for the RAxML ascertainment bias corrections
Read DNA sequences from colourful Microsoft Word documents
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