Protein language model trained on coding DNA
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Oct 20, 2024 - Python
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Protein language model trained on coding DNA
machine-learning deep-learning computational-biology dna language-models codons protein-language-model llms
Python Implementation of Codon Adaption Index
Python package of codon usage bias analysis tools
๐ฒ a flexible gene expression simulator with codon-specific translation rates
Simple Python program to perform codon optimization or heterology calculations.
protein-sequences dna-sequences codons codon-optimization codon-usage codon-bias codon-frequencies codon-optimizer
Program in R for calculating RSCU.
Codon-based alignment for CDS sequences
CoreTracker, a codon reassignment tracker
MATLAB package for codon usage bias and NGS analysis
Memorize Nirenberg codon mRNA table components with exciting game! ์๋ช ๊ณผํ 2 ์๋ฅ ์ ํ์๋ค์ ์ํ mRnA ์ฝ๋ ์๊ธฐ ๊ฒ์ ์ ํ๋ฆฌ์ผ์ด์ .
ใทในใใ ไธใงไฝฟ็จใใๆๅทๅใทในใใ ใซใmRNAใณใใณใฎไป็ตใฟใๅฟ็จใใ็ ็ฉถใงใ
Deep Learning LSTM Model for Gene Classification
CodonScope is an interactive web tool for visualizing and analyzing DNA sequences, translating them into codons, amino acids, and mutations, with a user-friendly interface for genetic sequence analysis.
react visualization bioinformatics gene typescript frontend genetics nextjs mutation dna sequence codons aminoacid genebank tailwindcss shadcn
Extracts all of the possible genes from a string of DNA
First public release of the QSOL Unified Field Framework. Includes sexagesimal, trinary, and codon mapping modules, microtonal tuning utilities, and complete Zenodo/QAInN integration. DOI: 10.5281/zenodo.17520187 License: CC BY 4.0 Motto: Small is Beautiful. Fast is Holy. Transparent by Design
Identify and analyze codon stretches in consensus coding sequences
An implementation of the Min-Max algorithm to determine the rareness of the codons within a base pair sequence.
A pipeline to do compute and inference using ML tools on codons and DNA
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.
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