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Keep Learning .....
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Keep Learning .....
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Achievement: Pull Shark

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Achievement: Pull Shark

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Ajaingithub/README.md

💫 About Me:


👋 Hi, I’m Abhinav Jain, currently a postdoctoral fellow in UCSF, California
👀 I work on single cell (RNA, ATAC, Multiome, CITESeq, ADT, TCR, Antigen, BEAM-T), spatial, bulk (WES, WGS, RNA, ATAC) and multiomics datasets including lineage Tracing in medulloblastoma and immune related disorders.
🌱 I’m currently using R, Python, Nextflow, Docker, Singularity, and Bash/Shell scripting.
💞️ I’m looking to collaborate in cancer, immunology, autoimmune disorders, immune aging, SARS-CoV-2, population genomics, and rare disease projects.
📫 How to reach me abhinavjj@gmail.com.

🌐 Socials:

LinkedIn X

💻 Tech Stack:

R Python Shell Script Markdown Anaconda Adobe Illustrator Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub Docker

📊 GitHub Stats:



✍️ Random Dev Quote

🔝 Top Contributed Repo

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  1. RShiny_CoV2 RShiny_CoV2 Public

    Develop the RShiny Web Database for scCITESeq in Aging

    R

  2. scCITESeq_pipeline scCITESeq_pipeline Public

    Batch and Modality Integration of single cell CITEseq dataset

    R 1

  3. scTCRseq scTCRseq Public

    TCR Downstream analysis clonal sharing, diversity, and clonality

    R

  4. Dockers-Nextflow Dockers-Nextflow Public

    Docker Containers

    Dockerfile

  5. CD8-EBV-Lytic-Latent CD8-EBV-Lytic-Latent Public

    Performed the CD8 EBV, VZV Lytic vs Latent Antigen analysis. The analysis involved BEAM-T (RNA, ADT, TCR, Antigen), ATACseq, and Flow Cytometry.

    Python 1

  6. CD8-Cancer-Analysis CD8-Cancer-Analysis Public

    Analyzed role of CD8 T cells in 13 different cancer types.

    R