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Name: James Boot

Type: User

Company: Queen Mary University of London

Bio: Bioinformatician at the Genome Centre (Queen Mary University of London), a core facility providing NGS services and analysis to internal and external clients.

Location: London

šŸ“£ About me

ā° TL;DR

  • šŸ”­ Iā€™m currently working on: implementing ML models in analysis & pipeline automation & spatial transcriptomics neighbourhood analysis (interactVis)!
  • šŸŒ± Iā€™m currently learning: NextFlow!
  • šŸ’¬ Ask me about: Anything! I'll try and help as best as I can!
  • šŸ“« How to reach me: LinkedIn
  • āš” Fun fact: I went to high school in China! And my profile picture is AI generated (surprise!).

šŸ“ Key publications

šŸ“„ Extended Intro

I am a passionate Bioinformatician at the Genome Centre (Queen Mary University of London), a core facility providing NGS services and analysis to internal and external clients. I learnt to code (R) and the basics of bioinformatics during my PhD, which was focussed on the epigenetic and transcriptomic profiles of Glioblastoma brain tumours. Being predominantly self-taught; I love the continual learning process of coding and bioinformatics which makes everyday exciting!

I have experience with many dataset types including:

  • Bulk-RNAseq
  • Single-cell-RNAseq
  • Spatial transcriptomics
  • ChIPseq
  • RRBS
  • Methylation arrays
  • WGS
  • Flow cytometry

My services range from support to full analysis pipelines for clients, which may include where appropriate:

  • Quality control
  • Filtering
  • Normalisation
  • Dimensionality reduction
  • Clustering
  • Exploratory analysis
  • Batch correction
  • Differential analysis
  • Pathway analysis and more.

James Boot's Projects

cosmx icon cosmx

Scripts for the analysis of Nanostring CosMx data.

fastqc_homebrew icon fastqc_homebrew

Hobby project to improve python coding by recreating some fastqc functions

flowml icon flowml

Analysis of flow cytometry data and application of ML algorithms to classify events.

rnaseq icon rnaseq

Scripts for bulk RNAseq analysis

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