Bioinformatics library in Kotlin

In this project we implement a DNA-Genetic Encryption Technique (D-GET) in order to make the DNA SEQUENCE more secure and less predictable.

Variational Auto Encoders for learning binding signatures of transcription factors

A lightweight Python module to read and write FASTA sequence records

A DNA design and assembly method based on multi-objective optimization.

Algorithm Semester-long Project

Scripts to analyse the sequence composition and bias of protein and nucleotide sequences.

Analyze a DNA sequence for primer construction

Moduating gene expression via in-silico mutagenesis

DNAc is a programming language for DNAs.

Recode a DNA sequence to match a target amino‑acid sequence with the minimal number of nucleotide changes, preserving the reading frame. Includes a CLI and Python API.

A comprehensive implementation of DNA sequence alignment algorithms using dynamic programming.

Predicting gene expression from DNA sequence using deep learning models. Reproduces and analyzes the Nature Reviews Genetics paper, integrating CNNs, RNNs, and attention mechanisms for genomics. Part of Stanford Data Ocean bioinformatics program.

A repository containing all the file projects that I have for the Bioinformatics 3 (COMP 4312b) course.

A simple Python tool for finding all 1-based positions of a motif in a DNA sequence. Part of my bioinformatics learning roadmap (DNA strings, file I/O, clean Python functions).

My portfolio website to showcase my projects. It is built using Jekyll. https://joely-nelson.github.io/DNA-Sequence-Classification-CNN/