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crazyhottommy/README.md

Hi there 👋

  • I have over 10 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/

Join my FREE newsletter to learn computational biology https://divingintogeneticsandgenomics.ck.page/newsletter

Subscribe to my chatomics youtube channel https://www.youtube.com/@chatomics

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

bookcover

Pinned

  1. ChIP-seq-analysis ChIP-seq-analysis Public

    ChIP-seq analysis notes from Ming Tang

    Python 702 288

  2. RNA-seq-analysis RNA-seq-analysis Public

    RNAseq analysis notes from Ming Tang

    Python 835 289

  3. getting-started-with-genomics-tools-and-resources getting-started-with-genomics-tools-and-resources Public

    Unix, R and python tools for genomics and data science

    Shell 1.1k 327

  4. pyflow-ChIPseq pyflow-ChIPseq Public

    a snakemake pipeline to process ChIP-seq files from GEO or in-house

    Python 100 39

  5. scRNAseq-analysis-notes scRNAseq-analysis-notes Public

    scRNAseq analysis notes from Ming Tang

    591 149

  6. scclusteval scclusteval Public

    Single Cell Cluster Evaluation

    R 80 13