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prudhvi-odela/README.md

Prudhvi Teja Odela Banner

Hi, I'm Prudhvi Teja Odela πŸ‘‹

Bioinformatics Undergraduate | Aspiring Computational Biologist

Passionate about Genomics, RNA-Seq, Cancer Bioinformatics, and Data-Driven Biology.
Currently building practical projects in sequencing analysis and preparing for a Master's in Germany.

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Bioinformatics Undergraduate | Aspiring Computational Biologist

Passionate about Genomics, RNA-Seq, Cancer Bioinformatics, and Data-Driven Biology.
Currently building practical projects in sequencing analysis and preparing for a Master's in Germany.

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πŸ‘¨β€πŸ”¬ About Me

Name: Prudhvi Teja Field: Bioinformatics Current Focus:

  • RNA-Seq Analysis
  • Cancer Variant Calling
  • Single-Cell RNA-Seq
  • Biological Databases Goal: Master's in Germany in Bioinformatics / Computational Biology

Passionate about using programming and biological data to understand diseases, genes, and molecular mechanisms.


πŸ”¬ Research Interests

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βš™οΈ Tech Stack

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πŸ“Œ Featured Projects

🧬 Cancer Variant Calling

Performed read alignment and BAM processing

Identified variants from sequencing data

Annotated variants using CADD scores

Tools: BWA, SAMtools, BCFtools, CADD

πŸ“Š RNA-Seq Differential Expression

Analyzed GEO datasets using DESeq2

Generated volcano plots and heatmaps

Identified significantly expressed genes

Tools: R, DESeq2, GEO, ggplot2

🧫 Single-Cell RNA-Seq Analysis

Performed QC, clustering, and marker analysis

Visualized cell populations using UMAP

Compared expression patterns across cell types

Tools: Seurat, R, scRNA-Seq

🌐 Portfolio Website

Built a personal academic portfolio website

Showcased projects, skills, and research interests

Designed using responsive web technologies

Tools: HTML, CSS, JavaScript

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🌍 Academic Goal

I aim to pursue a Master's degree in Germany in Bioinformatics or Computational Biology, with a focus on genomics, transcriptomics, and cancer bioinformatics. Through my projects, I am developing practical experience in RNA-Seq, variant calling, and biological data analysis using Python, R, and Linux.

πŸ“« Contact Me

Popular repositories Loading

  1. RNAseq-analysis-pipeline RNAseq-analysis-pipeline Public

    RNA-Seq data analysis pipeline using FastQC, Trimmomatic, HISAT2, Samtools and FeatureCounts

    HTML 1

  2. GSE318685-RNAseq GSE318685-RNAseq Public

    RNA-seq differential expression analysis of GSE318685 Mus musculus control vs mutant samples using HISAT2, featureCounts and DESeq2.

    R

  3. prudhvi-odela prudhvi-odela Public

  4. Cancer-Variant-Calling-CADD-Annotation Cancer-Variant-Calling-CADD-Annotation Public

  5. scRNAseq-Periodontitis-GSE174609 scRNAseq-Periodontitis-GSE174609 Public

    Single-cell RNA-seq analysis of periodontitis PBMC samples using Seurat. Performed quality control, dimensionality reduction (PCA, UMAP), clustering, marker gene identification, and immune cell ann…