N3ha-Rao
Bioinformatics specialist (MS, BU) focused on data science and machine learning for translational research. Currently at CMU, applying AI to drug discovery.
Pinned Repositories
BF528
Contains assignments from the BF528 course, focusing on applications in translational bioinformatics, including end-to-end analyses of various omics data and bioinformatics workflows using tools like Snakemake.
BF528_Final-project
Conducted scRNA-Seq analysis on human samples, performing differential expression, quality control, exploratory data analysis, and functional enrichment to compare wild-type and knock-out conditions.
BF550-Final-Project
Replicated figures from a study on gene signatures in skeletal muscle cells using single-cell RNA-Seq data, employing hierarchical clustering and PCA analysis.
BF591
Contains assignments from the BF591 course, focusing on R programming for biological sciences, covering topics like data visualization, statistical analysis, and bioinformatics workflows.
cEpiReg-Database
Constructed a comprehensive database elucidating the intricate regulatory mechanisms underlying Alzheimer's Disease genetics, integrating scRNA-seq, scATAC-seq, CHIP-seq, CUT&RUN and eQTL data to identify cis-regulatory elements.
HuntOmics-Explorer
Developed an R Shiny app for analyzing RNA-Seq data from Huntington's Disease studies, featuring sample exploration, differential expression analysis, correlation networks, and gene set enrichment.
N3ha-Rao's Repositories
N3ha-Rao/BF528
Contains assignments from the BF528 course, focusing on applications in translational bioinformatics, including end-to-end analyses of various omics data and bioinformatics workflows using tools like Snakemake.
N3ha-Rao/BF528_Final-project
Conducted scRNA-Seq analysis on human samples, performing differential expression, quality control, exploratory data analysis, and functional enrichment to compare wild-type and knock-out conditions.
N3ha-Rao/BF550-Final-Project
Replicated figures from a study on gene signatures in skeletal muscle cells using single-cell RNA-Seq data, employing hierarchical clustering and PCA analysis.
N3ha-Rao/BF591
Contains assignments from the BF591 course, focusing on R programming for biological sciences, covering topics like data visualization, statistical analysis, and bioinformatics workflows.
N3ha-Rao/cEpiReg-Database
Constructed a comprehensive database elucidating the intricate regulatory mechanisms underlying Alzheimer's Disease genetics, integrating scRNA-seq, scATAC-seq, CHIP-seq, CUT&RUN and eQTL data to identify cis-regulatory elements.
N3ha-Rao/HuntOmics-Explorer
Developed an R Shiny app for analyzing RNA-Seq data from Huntington's Disease studies, featuring sample exploration, differential expression analysis, correlation networks, and gene set enrichment.
N3ha-Rao/ATAC-seq-analysis-pipeline
Comprehensive analysis pipeline for ATAC-seq data including QC, alignment, peak calling, annotation, motif analysis, and gene enrichment. Delivers key insights and reproducible results for chromatin accessibility studies.
N3ha-Rao/Genetic-Analysis-NARAC
Detailed GWAS using NARAC data to investigate genetic risk factors for RA. Key steps include genetic data cleaning, PCA, PRS and sex-specific GWAS.
N3ha-Rao/Synthea-COVID19-EDA
Exploratory Data Analysis of synthetic COVID-19 patient data generated by Synthea, focusing on patient demographics, healthcare encounters, and prevalent conditions.