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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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Ming Tang's Projects

maestro icon maestro

Single-cell Transcriptome and Regulome Analysis Pipeline

manta icon manta

Structural variant and indel caller for mapped sequencing data

methyliftover icon methyliftover

A utility to map bisulfite sequencing data to the Illumina 450K methylation CpG set

module1 icon module1

Teaching material for Summer Institute in Statistics for Big Data Module 1.

og-aws icon og-aws

📙 Amazon Web Services — a practical guide

primer3 icon primer3

Primer3 is a command line tool to select primers for polymerase chain reaction (PCR).

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