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
Consultation: We discuss your experimental design (replicates, conditions, and batch effects) to ensure the statistical model is sound.
Analysis: We execute a reproducible pipeline, typically using Snakemake or Nextflow, ensuring every step is documented.
Reporting: You receive a comprehensive HTML or PDF report containing methodology, results, and interactive visualizations.
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
Bioinformatics
Specialized expertise in bioinformatics with 5 years of professional experience.
