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Hi there 👋

  • I have over 12 years of computational biology experience, 6 years of molecular cancer biology and 4 years of immunology experience.
  • I am a computational biologist working on (single-cell) genomics, epigenomics and (spatial) transcriptomics.
  • I use machine learning approaches to find new drug targets for cancer patients;
  • I use google cloud and Terra for large scale data processing;
  • I use R primary for data wrangling and visualization in the tidyverse ecosystem;
  • I use python for writing Snakemake workflows and reformatting data;
  • I am a unix geek learning shell tricks almost every month; I care about reproducible research and open science.

Learn more about me at https://tommytang.bio.link/

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You do not need to do a master's degree to learn computational biology. Grab my book to learn computation at here

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Ming Tang's Projects

scatacutils icon scatacutils

R/Bioconductor package for working with 10x scATACseq data

sccustomize icon sccustomize

Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

single-cell-rna-seq icon single-cell-rna-seq

A single cell RNA-seq workflow following http://dx.doi.org/10.12688/f1000research.9501.2

slurmpy icon slurmpy

submit jobs to slurm in Odyssey HPC

superheat icon superheat

An r package for generating beautiful and customizable heatmaps

teach-ds-course-website icon teach-ds-course-website

Template course website for the Designing a Data Science Classroom workshop at rstudio::conf(2022).

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