Deep Learning LSTM Model for Gene Classification
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Updated
May 17, 2019 - Jupyter Notebook
Deep Learning LSTM Model for Gene Classification
An implementation of the Min-Max algorithm to determine the rareness of the codons within a base pair sequence.
Techniques to analyze biological data generated by genome sequencing, proteomics, cell-wide measurements of gene expression changes. Algorithms for single/multiple sequence alignments/assembly. Search algorithms for sequence databases, phylogenetic tree construction algorithms. Algorithms for gene/promoter and protein structure prediction.
MATLAB package for codon usage bias and NGS analysis
A pipeline to do compute and inference using ML tools on codons and DNA
Memorize Nirenberg codon mRNA table components with exciting game! 생명과학 2 수능 선택자들을 위한 mRnA 코돈 암기 게임 애플리케이션.
Extracts all of the possible genes from a string of DNA
Program in R for calculating RSCU.
Simple little cellular simulation
システム上で使用する暗号化システムに、mRNAコドンの仕組みを応用する研究です
CoreTracker, a codon reassignment tracker
Codon-based alignment for CDS sequences
Python package of codon usage bias analysis tools
🌲 a flexible gene expression simulator with codon-specific translation rates
Simple Python program to perform codon optimization or heterology calculations.
Python Implementation of Codon Adaption Index
Protein language model trained on coding DNA
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