Aryan Rathod

Detail-oriented Bioinformatics Analyst currently pursuing a Graduate Certificate in Clinical Bioinformatics, with expertise in genomic data analysis, computational biology, and high-performance computing (HPC). Proficient in analyzing high-throughput sequencing data (RNA-seq, WGS) Actively expanding skills in CoCalc for computational research. Eager to apply computational expertise to oncology and precision medicine research.

Breast Cancer Data Analysis in R

Utilized R Studio for analyzing and visualizing breast cancer datasets.

Applied statistical methods and machine learning models to identify patterns in gene expression.

Used ggplot2, dplyr, and caret to preprocess, analyze, and visualize results.

DNA Sequencing and Variant Analysis in Python

Developed a Python-based pipeline for analyzing DNA sequencing data.

Used Biopython and Pandas for FASTA file processing and mutation detection.

Implemented machine learning algorithms to predict potential genetic variations.

Multi-Omics Data Integration

Worked on integrating genomic, transcriptomic, and proteomic data for disease modeling.

Applied bioinformatics pipelines for data normalization and feature selection.

Used Python, R, and OmicsTools to interpret large-scale datasets for biomarker discovery.

Protein Structure Prediction using AlphaFold

Utilized AlphaFold Server for protein structure prediction based on amino acid sequences.

Conducted comparative modeling to evaluate the reliability of predicted structures.

Applied structural insights to understand potential protein-ligand interactions.

FASTA Sequence Analysis

Processed FASTA sequences using Python and R for genomic annotation.

Developed scripts for sequence alignment, motif detection, and gene function prediction.