I will perform ngs data analysis, variant interpretation, and model

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Bioinformation

I am a bioinformatics professional with a robust background in computational biology, genomics, and workflow automation. I am skilled in analyzing high-throughput NGS data and implementing AI/ML strat...
À propos de ce service

Need a specialized scientist for complex biological data? With an M.Sc. in Bioinformatics, I provide high-end analysis across genomics, drug discovery, and AI. I transform raw data into publication-ready insights.

Genomics & NGS:

  • End-to-end pipelines (WES/WGS/RNA-Seq) via Nextflow/Snakemake.
  • Clinical variant calling (ACMG) & annotation (VEP/GATK/PCGR).
  • Interactive dashboards for gene panel and laboratory data.

Drug Discovery & Structural Biology:

  • Molecular Docking (Protein-Ligand/Protein-Protein) & virtual screening.
  • Binding affinity analysis & molecular dynamics (MD) setup.

Single-Cell Analysis (scRNA-seq):

  • QC, Clustering, & Trajectory analysis using Seurat or Scanpy.
  • Cell-type annotation, spatial transcriptomics, & differential expression.

️ AI & Radiogenomics:

  • Deep Learning for medical imaging (CT/MRI) & Radiomics.
  • Automated hematology slide analysis & cell classification.

Technical Stack: Python, R, Bash, Docker, Conda, AWS/GCP.

Why Choose Me?

  1. Reproducibility: Clean, documented code and Docker environments.
  2. Scientific Rigor: Results grounded in deep biological context.
  3. Customization: Bespoke solutions for unique research goals.

NOTE: Every project is unique. Please MESSAGE

Domaine:

Machine learning

Vision par ordinateur

Expertise:

Traitement d'images

Classification

Langage de programmation:

Python

R

MATLAB

SQL

Colab

Outils:

Jupyter Notebook

opencv

OpenNN

tensorflow

Excel

Colab

Technologie:

Python

R

PyTorch

Google ML Kit

scikit-learn

Modélisation et méthodes:

Machine learning

Deep learning