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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 working as a Computational Biologist in VoyantBio, research collaborator in UCSF & Mayo Clinic
👀 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 as well as machine learning and deep learning modelling.
📫 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.

    R 1

  6. DNA-Language-Model DNA-Language-Model Public

    Fine tuning the DNA language model i.e. Nucloetide Transformers to identify the promotor and enhancer region, Variant effect prediction, GWAS, Transcription factor binding, Epigenetic marks predict…

    Python