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crazyhottommy/README.md

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/

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

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

To learn computational biology with a clear roadmap, grab my book to learn computation at here

bookcover

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

    ChIP-seq analysis notes from Ming Tang

    Python 752 295

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

    RNAseq analysis notes from Ming Tang

    Python 936 301

  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 1.2k 351

  4. pyflow-ChIPseq pyflow-ChIPseq Public

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

    Python 103 39

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

    scRNAseq analysis notes from Ming Tang

    646 159

  6. scclusteval scclusteval Public

    Single Cell Cluster Evaluation

    R 87 12