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Hoime Banerjee

Research Scholar

IIT Bombay

0 sessions

Consultation Overview

Transcriptomics: Analysis of RNA seq data from raw files

In the era of high-throughput sequencing, the bottleneck is no longer generating data—it’s interpreting it. Our consultancy provides end-to-end bioinformatics solutions to transform your raw FASTQ files into publication-ready figures and actionable biological hypotheses.

Our Core Services

  • Raw Data Processing & QC: Rigorous quality control using FastQC and MultiQC, followed by adapter trimming and contamination removal to ensure data integrity.

  • Alignment & Quantification: Efficient mapping to reference genomes (using STAR, HISAT2, or Salmon) and transcript quantification.

  • Differential Gene Expression (DGE): Robust statistical analysis using industry-standard tools like DESeq2 or EdgeR to identify significant fold changes between experimental groups.

  • Functional Enrichment: Go beyond gene lists with Gene Ontology (GO) and KEGG pathway analysis to understand the "so what" of your data.

  • Custom Visualization: High-quality Volcano plots, Heatmaps, PCA plots, and MA plots tailored for high-impact journals.

The Workflow

  1. Consultation: We discuss your experimental design (replicates, conditions, and batch effects) to ensure the statistical model is sound.

  2. Analysis: We execute a reproducible pipeline, typically using Snakemake or Nextflow, ensuring every step is documented.

  3. Reporting: You receive a comprehensive HTML or PDF report containing methodology, results, and interactive visualizations.

  4. Support: Post-analysis walkthrough to help you interpret the results and prepare for manuscript submission or downstream validation.

Service Details

What's Included

  • Video consultation
  • Personalized guidance and advice
  • Session notes and recommendations
  • Follow-up support via email

Pricing Options

  • Single Session ₹500
  • Full Project ₹4,000

About Hoime Banerjee

During PhD, I studied zebrafish brain development, focusing on a Tbox transcription factor involved in neural development. I mapped its spatial expression using in situ hybridization and identified expressing cell types with specific biomarkers. I analyzed RNAseq datasets to find downstream targets and performed motif analysis to predict regulation. I also overexpressed the factor in specific cells to assess its role in neural development. In my MTech, I have worked on protein purification.

Experience

5 Years

Bioinformatics

Specialized expertise in bioinformatics with 5 years of professional experience.

Skills