Precision genomics for everyone, everywhere. Powered by private AI.
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Updated
Aug 5, 2026 - Java
Precision genomics for everyone, everywhere. Powered by private AI.
a web app that can classify how likely specific mutations in DNA are to cause diseases (variant effect prediction). We will deploy and use the state-of-the-art Evo2 large language model, and use it to predict the pathogenicity of single nucleotide variants (SNVs)
Analysis of DNA Sequence Classification Using Neural Networks - Bioinformatics Course Project - Winter 2022
Privacy-first genetic exploration dashboard. Analyze raw DNA from 23andMe, AncestryDNA, MyHeritage, and Genera against ClinVar + PharmGKB — entirely on your machine. Optional local AI interpretation via Ollama and PT-BR neural translation via Argos.
Local-first DNA and VCF analysis copilot for evidence-bound genomics workflows, confidence tiers, and Claude/Codex support.
Flutter-based DNA analysis app | Genetic health reports | Personalized nutrition & fitness recommendations | User-friendly interface
A comprehensive Python tool for DNA sequence analysis that provides various molecular biology and bioinformatics functions.
Self-Supervised Pretraining Pipeline for ChordMixer
A beginner-friendly Python project for basic DNA sequence analysis.
Privacy-focused, open-source tool to analyze raw DNA files (from 23andMe, MyHeritage, AncestryDNA, etc.) directly in your browser. Unlock free insights on health risks, personality traits, metabolism, and more — no data upload required
A Python-based bioinformatics project that performs DNA sequence analysis including uppercase conversion, AT content calculation, complementary DNA generation, DNA to mRNA transcription, RNA splicing, and protein translation.
Breast cancer detection through DNA sequence mutation analysis using stacked ML classifiers. ERASMUS research collaboration.
My solutions for rosalind problems
A Python-based bioinformatics project that analyzes DNA sequence mutations by calculating transitions, transversions, and transition/transversion ratio using two different implementation methods.
A Python-based bioinformatics project that performs DNA sequence analysis including nucleotide mutation conversion, DNA to RNA transcription, mRNA translation into amino acids, AT content calculation, and exon-intron splicing operations.
A Java console application that validates DNA sequences and analyzes the nucleotide (A–T–G–C) distribution.
Per-sequence empirical null framework for DNA correlation analysis with mono- and dinucleotide shuffle calibration. Includes π-validation, six parallel correlation methods, and repeat-screening diagnostics.
Computational biology toolkit for FASTA-based nucleotide sequence analysis using Biopython, featuring sequence validation, compositional analysis, transcription, translation, ORF detection, restriction site mapping, and graphical visualization.
Interactive CRISPR-Cas9 target validation suite modeling multi-patient variant matrices and oncology cleavage kinetics using Biopython and Streamlit. Dedicated to Track 1: Bioinformatics and DNA Analysis, honoring the legacy of Dr. P.M. Bhargava.
A robust Python-based bioinformatics tool for comprehensive DNA sequence analysis and manipulation.
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