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Rohit Suratekar

Genomics & biostatistics

Statistical analysis of high-dimensional biological data: the transcriptional programmes of heart development, and how SARS-CoV-2 diversified across countries, lineages and vaccination status.

Period
2019 — now
Where
IIMCB · nference · Anumana
Role
Postdoc → Senior Lead

Selected work

All 9 projects in genomics & biostatistics →

Methods in my daily workflow

  • GATK
  • Propensity scores
  • NRI
  • Survival analysis
  • Multiple imputation
  • Calibration
  • DESeq2
  • Causal inference
  • Kallisto
  • Mixed-effects models
  • Sensitivity analyses
  • STAR
  • Comparative effectiveness
  • Risk prediction
  • Monte Carlo simulation
  • Salmon
  • External validation
  • MOFA+
  • Subgroup analyses
  • Differential expression
  • Longitudinal models
  • Mutation mapping
  • Variant calling
  • Single-cell RNA-seq

Study & data

  • Observational study design
  • Data quality assessment
  • Clinical trial & cohort data
  • FAERS · VAERS pharmacovigilance

Tools

  • R · Python (pandas, SciPy)
  • SQL · Spark SQL
  • Snakemake pipelines
  • Git · Docker · GCP

Reporting

  • Statistical Analysis Plans (SAPs)
  • Tables · figures · listings
  • CSR-style reporting
  • Reproducible analyses
A double helix with its base pairs